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1907.12942
Hiroki Oshima
Hiroki Oshima
Improved randomized algorithm for $k$-submodular function maximization
22 pages,3 figures
null
null
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Submodularity is one of the most important properties in combinatorial optimization, and $k$-submodularity is a generalization of submodularity. Maximization of a $k$-submodular function requires an exponential number of value oracle queries, and approximation algorithms have been studied. For unconstrained $k$-submo...
[ { "created": "Sat, 27 Jul 2019 06:53:37 GMT", "version": "v1" } ]
2019-07-31
[ [ "Oshima", "Hiroki", "" ] ]
Submodularity is one of the most important properties in combinatorial optimization, and $k$-submodularity is a generalization of submodularity. Maximization of a $k$-submodular function requires an exponential number of value oracle queries, and approximation algorithms have been studied. For unconstrained $k$-submodu...
0801.3024
Josep Rif\`a
J. Pujol, J. Rif\'a, F. I. Solov'eva
Construction of Z4-linear Reed-Muller codes
Paper submitted to IEEE Transactions on Information Theory
null
null
null
cs.IT math.IT
null
New quaternary Plotkin constructions are given and are used to obtain new families of quaternary codes. The parameters of the obtained codes, such as the length, the dimension and the minimum distance are studied. Using these constructions new families of quaternary Reed-Muller codes are built with the peculiarity th...
[ { "created": "Sat, 19 Jan 2008 10:14:40 GMT", "version": "v1" } ]
2008-01-22
[ [ "Pujol", "J.", "" ], [ "Rifá", "J.", "" ], [ "Solov'eva", "F. I.", "" ] ]
New quaternary Plotkin constructions are given and are used to obtain new families of quaternary codes. The parameters of the obtained codes, such as the length, the dimension and the minimum distance are studied. Using these constructions new families of quaternary Reed-Muller codes are built with the peculiarity that...
1402.4067
Santiago Aja-Fernandez
Santiago Aja-Fernandez, Gonzalo Vegas-Sanchez-Ferrero, Antonio Trsitan-Vega
Statistical Noise Analysis in SENSE Parallel MRI
null
null
null
TECH-LPI2012-01. V2.0
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A complete first and second order statistical characterization of noise in SENSE reconstructed data is proposed. SENSE acquisitions have usually been modeled as Rician distributed, since the data reconstruction takes place into the spatial domain, where Gaussian noise is assumed. However, this model just holds for th...
[ { "created": "Mon, 17 Feb 2014 17:16:21 GMT", "version": "v1" } ]
2014-02-18
[ [ "Aja-Fernandez", "Santiago", "" ], [ "Vegas-Sanchez-Ferrero", "Gonzalo", "" ], [ "Trsitan-Vega", "Antonio", "" ] ]
A complete first and second order statistical characterization of noise in SENSE reconstructed data is proposed. SENSE acquisitions have usually been modeled as Rician distributed, since the data reconstruction takes place into the spatial domain, where Gaussian noise is assumed. However, this model just holds for the ...
2011.00230
Jin-Yuan Wang
Jin-Yuan Wang, Xian-Tao Fu, Rong-Rong Lu, Jun-Bo Wang, Min Lin, and Julian Cheng
Tight Capacity Bounds for Indoor Visible Light Communications With Signal-Dependent Noise
32 pages, 9 figures, accepted by IEEE Transactions on Wireless Communications, 2020
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Channel capacity bounds are derived for a point-to-point indoor visible light communications (VLC) system with signal-dependent Gaussian noise. Considering both illumination and communication, the non-negative input of VLC is constrained by peak and average optical intensity constraints. Two scenarios are taken into ...
[ { "created": "Sat, 31 Oct 2020 10:18:46 GMT", "version": "v1" } ]
2020-11-03
[ [ "Wang", "Jin-Yuan", "" ], [ "Fu", "Xian-Tao", "" ], [ "Lu", "Rong-Rong", "" ], [ "Wang", "Jun-Bo", "" ], [ "Lin", "Min", "" ], [ "Cheng", "Julian", "" ] ]
Channel capacity bounds are derived for a point-to-point indoor visible light communications (VLC) system with signal-dependent Gaussian noise. Considering both illumination and communication, the non-negative input of VLC is constrained by peak and average optical intensity constraints. Two scenarios are taken into ac...
2403.07911
Alison Callahan
Alison Callahan, Duncan McElfresh, Juan M. Banda, Gabrielle Bunney, Danton Char, Jonathan Chen, Conor K. Corbin, Debadutta Dash, Norman L. Downing, Sneha S. Jain, Nikesh Kotecha, Jonathan Masterson, Michelle M. Mello, Keith Morse, Srikar Nallan, Abby Pandya, Anurang Revri, Aditya Sharma, Christopher Sharp, Rahu...
Standing on FURM ground -- A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems
null
null
null
null
cs.CY cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
The impact of using artificial intelligence (AI) to guide patient care or operational processes is an interplay of the AI model's output, the decision-making protocol based on that output, and the capacity of the stakeholders involved to take the necessary subsequent action. Estimating the effects of this interplay b...
[ { "created": "Tue, 27 Feb 2024 03:33:40 GMT", "version": "v1" }, { "created": "Thu, 14 Mar 2024 18:37:53 GMT", "version": "v2" } ]
2024-03-18
[ [ "Callahan", "Alison", "" ], [ "McElfresh", "Duncan", "" ], [ "Banda", "Juan M.", "" ], [ "Bunney", "Gabrielle", "" ], [ "Char", "Danton", "" ], [ "Chen", "Jonathan", "" ], [ "Corbin", "Conor K.", "" ], ...
The impact of using artificial intelligence (AI) to guide patient care or operational processes is an interplay of the AI model's output, the decision-making protocol based on that output, and the capacity of the stakeholders involved to take the necessary subsequent action. Estimating the effects of this interplay bef...
1812.08257
Luis Pablo Borja Rosales
T.C. Wesselink, P. Borja, and J.M.A. Scherpen
Saturated control without velocity measurements for planar robots with flexible joints
9 figures, 3 tables. A short version of this paper was presented at the 58th Conference on Decision and Control (2019)
null
10.1109/CDC40024.2019.9029741
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we propose a passivity-based controller that addresses the problem of set point regulation for planar robots with two links and flexible joints. Moreover, the controller is saturated and does not require velocity measurements. Additionally, we present experiments that corroborate the theoretical results...
[ { "created": "Wed, 19 Dec 2018 21:36:34 GMT", "version": "v1" }, { "created": "Sat, 21 Nov 2020 23:49:45 GMT", "version": "v2" } ]
2020-11-24
[ [ "Wesselink", "T. C.", "" ], [ "Borja", "P.", "" ], [ "Scherpen", "J. M. A.", "" ] ]
In this work, we propose a passivity-based controller that addresses the problem of set point regulation for planar robots with two links and flexible joints. Moreover, the controller is saturated and does not require velocity measurements. Additionally, we present experiments that corroborate the theoretical results o...
1708.07180
Giorgos Borboudakis
Ioannis Tsamardinos, Elissavet Greasidou, Michalis Tsagris and Giorgos Borboudakis
Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation
Added acknowledgments
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cross-Validation (CV), and out-of-sample performance-estimation protocols in general, are often employed both for (a) selecting the optimal combination of algorithms and values of hyper-parameters (called a configuration) for producing the final predictive model, and (b) estimating the predictive performance of the f...
[ { "created": "Wed, 23 Aug 2017 20:30:07 GMT", "version": "v1" }, { "created": "Fri, 25 Aug 2017 14:02:02 GMT", "version": "v2" } ]
2017-08-28
[ [ "Tsamardinos", "Ioannis", "" ], [ "Greasidou", "Elissavet", "" ], [ "Tsagris", "Michalis", "" ], [ "Borboudakis", "Giorgos", "" ] ]
Cross-Validation (CV), and out-of-sample performance-estimation protocols in general, are often employed both for (a) selecting the optimal combination of algorithms and values of hyper-parameters (called a configuration) for producing the final predictive model, and (b) estimating the predictive performance of the fin...
2405.10183
Matthew Andres Moreno
Matthew Andres Moreno and Anika Ranjan and Emily Dolson and Luis Zaman
A Guide to Tracking Phylogenies in Parallel and Distributed Agent-based Evolution Models
null
null
null
null
cs.NE q-bio.PE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computer simulations are an important tool for studying the mechanics of biological evolution. In particular, in silico work with agent-based models provides an opportunity to collect high-quality records of ancestry relationships among simulated agents. Such phylogenies can provide insight into evolutionary dynamics...
[ { "created": "Thu, 16 May 2024 15:27:51 GMT", "version": "v1" } ]
2024-05-17
[ [ "Moreno", "Matthew Andres", "" ], [ "Ranjan", "Anika", "" ], [ "Dolson", "Emily", "" ], [ "Zaman", "Luis", "" ] ]
Computer simulations are an important tool for studying the mechanics of biological evolution. In particular, in silico work with agent-based models provides an opportunity to collect high-quality records of ancestry relationships among simulated agents. Such phylogenies can provide insight into evolutionary dynamics w...
1111.3122
Iris Eshkol
Iris Eshkol (LLL), D. Maurel (LI), Nathalie Friburger (LI)
ESLO: from transcription to speakers' personal information annotation
LREC2010, Malta (2010)
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents the preliminary works to put online a French oral corpus and its transcription. This corpus is the Socio-Linguistic Survey in Orleans, realized in 1968. First, we numerized the corpus, then we handwritten transcribed it with the Transcriber software adding different tags about speakers, time, nois...
[ { "created": "Mon, 14 Nov 2011 07:41:42 GMT", "version": "v1" } ]
2011-11-15
[ [ "Eshkol", "Iris", "", "LLL" ], [ "Maurel", "D.", "", "LI" ], [ "Friburger", "Nathalie", "", "LI" ] ]
This paper presents the preliminary works to put online a French oral corpus and its transcription. This corpus is the Socio-Linguistic Survey in Orleans, realized in 1968. First, we numerized the corpus, then we handwritten transcribed it with the Transcriber software adding different tags about speakers, time, noise,...
1802.07665
Sreejith Sreekumar
Sreejith Sreekumar and Deniz G\"und\"uz
Distributed Hypothesis Testing Over Discrete Memoryless Channels
arXiv admin note: text overlap with arXiv:1704.01535
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A distributed binary hypothesis testing (HT) problem involving two parties, one referred to as the observer and the other as the detector is studied. The observer observes a discrete memoryless source (DMS) and communicates its observations to the detector over a discrete memoryless channel (DMC). The detector observ...
[ { "created": "Mon, 19 Feb 2018 23:41:39 GMT", "version": "v1" }, { "created": "Mon, 26 Feb 2018 20:25:42 GMT", "version": "v2" }, { "created": "Thu, 7 Jun 2018 23:03:12 GMT", "version": "v3" }, { "created": "Sun, 8 Jul 2018 05:14:37 GMT", "version": "v4" }, { "cre...
2019-12-04
[ [ "Sreekumar", "Sreejith", "" ], [ "Gündüz", "Deniz", "" ] ]
A distributed binary hypothesis testing (HT) problem involving two parties, one referred to as the observer and the other as the detector is studied. The observer observes a discrete memoryless source (DMS) and communicates its observations to the detector over a discrete memoryless channel (DMC). The detector observes...
1604.07169
Krishnendu Chatterjee
Krishnendu Chatterjee and Hongfei Fu and Amir Kafshdar Goharshady
Termination Analysis of Probabilistic Programs through Positivstellensatz's
A conference version will appear in CAV 2016
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider nondeterministic probabilistic programs with the most basic liveness property of termination. We present efficient methods for termination analysis of nondeterministic probabilistic programs with polynomial guards and assignments. Our approach is through synthesis of polynomial ranking supermartingales, t...
[ { "created": "Mon, 25 Apr 2016 08:57:28 GMT", "version": "v1" } ]
2016-04-26
[ [ "Chatterjee", "Krishnendu", "" ], [ "Fu", "Hongfei", "" ], [ "Goharshady", "Amir Kafshdar", "" ] ]
We consider nondeterministic probabilistic programs with the most basic liveness property of termination. We present efficient methods for termination analysis of nondeterministic probabilistic programs with polynomial guards and assignments. Our approach is through synthesis of polynomial ranking supermartingales, tha...
2001.09219
Q.Vera Liao
Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Rachel Bellamy, Klaus Mueller
Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience
replacing with a draft accepted to CSCW2020
null
null
null
cs.HC cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The wide adoption of Machine Learning technologies has created a rapidly growing demand for people who can train ML models. Some advocated the term "machine teacher" to refer to the role of people who inject domain knowledge into ML models. One promising learning paradigm is Active Learning (AL), by which the model i...
[ { "created": "Fri, 24 Jan 2020 22:52:18 GMT", "version": "v1" }, { "created": "Fri, 31 Jan 2020 00:18:11 GMT", "version": "v2" }, { "created": "Wed, 17 Jun 2020 16:47:14 GMT", "version": "v3" }, { "created": "Wed, 30 Sep 2020 12:43:28 GMT", "version": "v4" } ]
2020-10-01
[ [ "Ghai", "Bhavya", "" ], [ "Liao", "Q. Vera", "" ], [ "Zhang", "Yunfeng", "" ], [ "Bellamy", "Rachel", "" ], [ "Mueller", "Klaus", "" ] ]
The wide adoption of Machine Learning technologies has created a rapidly growing demand for people who can train ML models. Some advocated the term "machine teacher" to refer to the role of people who inject domain knowledge into ML models. One promising learning paradigm is Active Learning (AL), by which the model int...
0705.3061
Chao Chen
Daniel Freedman and Chao Chen
Measuring and Localing Homology Classes
References 8 and 22 are fixed
null
null
null
cs.CG math.AT
null
We develop a method for measuring and localizing homology classes. This involves two problems. First, we define relevant notions of size for both a homology class and a homology group basis, using ideas from relative homology. Second, we propose an algorithm to compute the optimal homology basis, using techniques fro...
[ { "created": "Mon, 21 May 2007 22:16:20 GMT", "version": "v1" }, { "created": "Thu, 24 May 2007 18:01:33 GMT", "version": "v2" } ]
2007-06-13
[ [ "Freedman", "Daniel", "" ], [ "Chen", "Chao", "" ] ]
We develop a method for measuring and localizing homology classes. This involves two problems. First, we define relevant notions of size for both a homology class and a homology group basis, using ideas from relative homology. Second, we propose an algorithm to compute the optimal homology basis, using techniques from ...
2403.02626
Imad Eddine Toubal
Imad Eddine Toubal, Aditya Avinash, Neil Gordon Alldrin, Jan Dlabal, Wenlei Zhou, Enming Luo, Otilia Stretcu, Hao Xiong, Chun-Ta Lu, Howard Zhou, Ranjay Krishna, Ariel Fuxman, Tom Duerig
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
From content moderation to wildlife conservation, the number of applications that require models to recognize nuanced or subjective visual concepts is growing. Traditionally, developing classifiers for such concepts requires substantial manual effort measured in hours, days, or even months to identify and annotate da...
[ { "created": "Tue, 5 Mar 2024 03:34:11 GMT", "version": "v1" }, { "created": "Wed, 20 Mar 2024 03:56:57 GMT", "version": "v2" } ]
2024-03-21
[ [ "Toubal", "Imad Eddine", "" ], [ "Avinash", "Aditya", "" ], [ "Alldrin", "Neil Gordon", "" ], [ "Dlabal", "Jan", "" ], [ "Zhou", "Wenlei", "" ], [ "Luo", "Enming", "" ], [ "Stretcu", "Otilia", "" ], [ ...
From content moderation to wildlife conservation, the number of applications that require models to recognize nuanced or subjective visual concepts is growing. Traditionally, developing classifiers for such concepts requires substantial manual effort measured in hours, days, or even months to identify and annotate data...
1902.07877
Lei Li
Lei Li, Fuping Wu, Guang Yang, Lingchao Xu, Tom Wong, Raad Mohiaddin, David Firmin, Jennifer Keegan, Xiahai Zhuang
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework
13 pages, 10 figures, submitted to Medical Image Analysis
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) appears to be a promising alternative for scar assessment in patients with atrial fibrillation (AF). Automating the quantification and analysis of atrial scars can be challenging due to the low image quality. In this work, we propose a fully automated m...
[ { "created": "Thu, 21 Feb 2019 06:13:35 GMT", "version": "v1" } ]
2019-02-22
[ [ "Li", "Lei", "" ], [ "Wu", "Fuping", "" ], [ "Yang", "Guang", "" ], [ "Xu", "Lingchao", "" ], [ "Wong", "Tom", "" ], [ "Mohiaddin", "Raad", "" ], [ "Firmin", "David", "" ], [ "Keegan", "Jennifer...
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) appears to be a promising alternative for scar assessment in patients with atrial fibrillation (AF). Automating the quantification and analysis of atrial scars can be challenging due to the low image quality. In this work, we propose a fully automated met...
2107.08408
Ashutosh Modi
Ishika Singh and Gargi Singh and Ashutosh Modi
Pre-trained Language Models as Prior Knowledge for Playing Text-based Games
40 Pages (8 Pages main content + 1 Page references + 31 Pages Appendix). Some new results added
null
null
null
cs.CL cs.AI cs.MA cs.RO
http://creativecommons.org/licenses/by-nc-sa/4.0/
Recently, text world games have been proposed to enable artificial agents to understand and reason about real-world scenarios. These text-based games are challenging for artificial agents, as it requires an understanding of and interaction using natural language in a partially observable environment. Agents observe t...
[ { "created": "Sun, 18 Jul 2021 10:28:48 GMT", "version": "v1" }, { "created": "Thu, 23 Dec 2021 09:17:53 GMT", "version": "v2" } ]
2021-12-24
[ [ "Singh", "Ishika", "" ], [ "Singh", "Gargi", "" ], [ "Modi", "Ashutosh", "" ] ]
Recently, text world games have been proposed to enable artificial agents to understand and reason about real-world scenarios. These text-based games are challenging for artificial agents, as it requires an understanding of and interaction using natural language in a partially observable environment. Agents observe the...
1807.04728
Jim Basney
Alex Withers (NCSA), Brian Bockelman (University of Nebraska-Lincoln), Derek Weitzel (University of Nebraska-Lincoln), Duncan Brown (Syracuse University), Jeff Gaynor (NCSA), Jim Basney (NCSA), Todd Tannenbaum (University of Wisconsin-Madison), Zach Miller (University of Wisconsin-Madison)
SciTokens: Capability-Based Secure Access to Remote Scientific Data
8 pages, 6 figures, PEARC '18: Practice and Experience in Advanced Research Computing, July 22--26, 2018, Pittsburgh, PA, USA
null
10.1145/3219104.3219135
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The management of security credentials (e.g., passwords, secret keys) for computational science workflows is a burden for scientists and information security officers. Problems with credentials (e.g., expiration, privilege mismatch) cause workflows to fail to fetch needed input data or store valuable scientific resul...
[ { "created": "Thu, 12 Jul 2018 17:06:19 GMT", "version": "v1" } ]
2018-07-13
[ [ "Withers", "Alex", "", "NCSA" ], [ "Bockelman", "Brian", "", "University of Nebraska-Lincoln" ], [ "Weitzel", "Derek", "", "University of Nebraska-Lincoln" ], [ "Brown", "Duncan", "", "Syracuse\n University" ], [ "Gaynor", "J...
The management of security credentials (e.g., passwords, secret keys) for computational science workflows is a burden for scientists and information security officers. Problems with credentials (e.g., expiration, privilege mismatch) cause workflows to fail to fetch needed input data or store valuable scientific results...
2405.00841
Juncheng Li
Juncheng Li and David J. Cappelleri
Sim-Grasp: Learning 6-DOF Grasp Policies for Cluttered Environments Using a Synthetic Benchmark
null
IEEE Robotics and Automation Letters (2024) 1-8
10.1109/LRA.2024.3430712
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present Sim-Grasp, a robust 6-DOF two-finger grasping system that integrates advanced language models for enhanced object manipulation in cluttered environments. We introduce the Sim-Grasp-Dataset, which includes 1,550 objects across 500 scenarios with 7.9 million annotated labels, and develop Sim-G...
[ { "created": "Wed, 1 May 2024 20:08:51 GMT", "version": "v1" }, { "created": "Tue, 16 Jul 2024 22:12:11 GMT", "version": "v2" } ]
2024-07-18
[ [ "Li", "Juncheng", "" ], [ "Cappelleri", "David J.", "" ] ]
In this paper, we present Sim-Grasp, a robust 6-DOF two-finger grasping system that integrates advanced language models for enhanced object manipulation in cluttered environments. We introduce the Sim-Grasp-Dataset, which includes 1,550 objects across 500 scenarios with 7.9 million annotated labels, and develop Sim-Gra...
2211.03889
Samarth Sinha
Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotny
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Obtaining photorealistic reconstructions of objects from sparse views is inherently ambiguous and can only be achieved by learning suitable reconstruction priors. Earlier works on sparse rigid object reconstruction successfully learned such priors from large datasets such as CO3D. In this paper, we extend this approa...
[ { "created": "Mon, 7 Nov 2022 22:42:42 GMT", "version": "v1" } ]
2022-11-09
[ [ "Sinha", "Samarth", "" ], [ "Shapovalov", "Roman", "" ], [ "Reizenstein", "Jeremy", "" ], [ "Rocco", "Ignacio", "" ], [ "Neverova", "Natalia", "" ], [ "Vedaldi", "Andrea", "" ], [ "Novotny", "David", "" ]...
Obtaining photorealistic reconstructions of objects from sparse views is inherently ambiguous and can only be achieved by learning suitable reconstruction priors. Earlier works on sparse rigid object reconstruction successfully learned such priors from large datasets such as CO3D. In this paper, we extend this approach...
1507.00598
Yulong Zou Dr.
Yulong Zou, Jia Zhu, Liuqing Yang, Ying-Chang Liang, and Yu-Dong Yao
Securing Physical-Layer Communications for Cognitive Radio Networks
15 pages in IEEE Communications Magazine, September 2015
null
10.1109/MCOM.2015.7263345
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article investigates the physical-layer security of cognitive radio (CR) networks, which are vulnerable to various newly arising attacks targeting on the weaknesses of CR communications and networking. We first review a range of physical-layer attacks in CR networks, including the primary user emulation, sensing...
[ { "created": "Thu, 2 Jul 2015 14:19:22 GMT", "version": "v1" } ]
2016-11-17
[ [ "Zou", "Yulong", "" ], [ "Zhu", "Jia", "" ], [ "Yang", "Liuqing", "" ], [ "Liang", "Ying-Chang", "" ], [ "Yao", "Yu-Dong", "" ] ]
This article investigates the physical-layer security of cognitive radio (CR) networks, which are vulnerable to various newly arising attacks targeting on the weaknesses of CR communications and networking. We first review a range of physical-layer attacks in CR networks, including the primary user emulation, sensing f...
1303.3828
Jo\~ao Em\'ilio Almeida
Jo\~ao Ribeiro, Jo\~ao Em\'ilio Almeida, Rosaldo J. F. Rossetti, Ant\'onio Coelho, Ant\'onio Le\c{c}a Coelho
Using Serious Games to Train Evacuation Behaviour
CISTI 2012 - 7 Conferencia Ib\'erica de Sistemas y Tecnolog\'ias de Informaci\'on, pp 771-776, Madrid, Spain. ISBN: 978-989-96247-6-4
null
null
null
cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Emergency evacuation plans and evacuation drills are mandatory in public buildings in many countries. Their importance is considerable when it comes to guarantee safety and protection during a crisis. However, sometimes discrepancies arise between the goals of the plan and its outcomes, because people find it hard to...
[ { "created": "Fri, 15 Mar 2013 16:58:00 GMT", "version": "v1" } ]
2013-03-18
[ [ "Ribeiro", "João", "" ], [ "Almeida", "João Emílio", "" ], [ "Rossetti", "Rosaldo J. F.", "" ], [ "Coelho", "António", "" ], [ "Coelho", "António Leça", "" ] ]
Emergency evacuation plans and evacuation drills are mandatory in public buildings in many countries. Their importance is considerable when it comes to guarantee safety and protection during a crisis. However, sometimes discrepancies arise between the goals of the plan and its outcomes, because people find it hard to t...
2408.02373
Sahra Ghalebikesabi
Sahra Ghalebikesabi, Eugene Bagdasaryan, Ren Yi, Itay Yona, Ilia Shumailov, Aneesh Pappu, Chongyang Shi, Laura Weidinger, Robert Stanforth, Leonard Berrada, Pushmeet Kohli, Po-Sen Huang, Borja Balle
Operationalizing Contextual Integrity in Privacy-Conscious Assistants
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Advanced AI assistants combine frontier LLMs and tool access to autonomously perform complex tasks on behalf of users. While the helpfulness of such assistants can increase dramatically with access to user information including emails and documents, this raises privacy concerns about assistants sharing inappropriate ...
[ { "created": "Mon, 5 Aug 2024 10:53:51 GMT", "version": "v1" } ]
2024-08-06
[ [ "Ghalebikesabi", "Sahra", "" ], [ "Bagdasaryan", "Eugene", "" ], [ "Yi", "Ren", "" ], [ "Yona", "Itay", "" ], [ "Shumailov", "Ilia", "" ], [ "Pappu", "Aneesh", "" ], [ "Shi", "Chongyang", "" ], [ "W...
Advanced AI assistants combine frontier LLMs and tool access to autonomously perform complex tasks on behalf of users. While the helpfulness of such assistants can increase dramatically with access to user information including emails and documents, this raises privacy concerns about assistants sharing inappropriate in...
2404.15440
Jiahe Ling
Jiahe Ling, Corey B. Jackson
Exploring Convergence in Relation using Association Rules Mining: A Case Study in Collaborative Knowledge Production
null
null
null
null
cs.HC stat.AP stat.ME
http://creativecommons.org/licenses/by-nc-nd/4.0/
This study delves into the pivotal role played by non-experts in knowledge production on open collaboration platforms, with a particular focus on the intricate process of tag development that culminates in the proposal of new glitch classes. Leveraging the power of Association Rule Mining (ARM), this research endeavo...
[ { "created": "Tue, 23 Apr 2024 18:31:03 GMT", "version": "v1" }, { "created": "Mon, 13 May 2024 15:02:06 GMT", "version": "v2" } ]
2024-05-14
[ [ "Ling", "Jiahe", "" ], [ "Jackson", "Corey B.", "" ] ]
This study delves into the pivotal role played by non-experts in knowledge production on open collaboration platforms, with a particular focus on the intricate process of tag development that culminates in the proposal of new glitch classes. Leveraging the power of Association Rule Mining (ARM), this research endeavors...
2203.12697
Valentina Golendukhina
Valentina Golendukhina, Valentina Lenarduzzi, Michael Felderer
What is Software Quality for AI Engineers? Towards a Thinning of the Fog
9 pages, 3 figures, accepted for CAIN22 Conference
null
null
null
cs.SE cs.AI
http://creativecommons.org/licenses/by/4.0/
It is often overseen that AI-enabled systems are also software systems and therefore rely on software quality assurance (SQA). Thus, the goal of this study is to investigate the software quality assurance strategies adopted during the development, integration, and maintenance of AI/ML components and code. We conducte...
[ { "created": "Wed, 23 Mar 2022 19:43:35 GMT", "version": "v1" } ]
2022-03-25
[ [ "Golendukhina", "Valentina", "" ], [ "Lenarduzzi", "Valentina", "" ], [ "Felderer", "Michael", "" ] ]
It is often overseen that AI-enabled systems are also software systems and therefore rely on software quality assurance (SQA). Thus, the goal of this study is to investigate the software quality assurance strategies adopted during the development, integration, and maintenance of AI/ML components and code. We conducted ...
2005.02580
Darsen Lu
Darsen D. Lu, Mohan V. Dunga, Ali M. Niknejad, Chenming Hu, Fu-Xiang Liang, Wei-Chen Hung, Jia-Wei Lee, Chun-Hsiang Hsu and Meng-Hsueh Chiang
Compact Device Models for FinFET and Beyond
Invited talk at the Asia-Pacific Workshop on Fundamentals and Applications of Advanced Semiconductor Devices (AWAD), Kitakyushu, Japan, July 2018
null
null
null
cs.ET physics.app-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Compact device models play a significant role in connecting device technology and circuit design. BSIM-CMG and BSIM-IMG are industry standard compact models suited for the FinFET and UTBB technologies, respectively. Its surface potential based modeling framework and symmetry preserving properties make them suitable f...
[ { "created": "Wed, 6 May 2020 03:43:17 GMT", "version": "v1" } ]
2020-05-07
[ [ "Lu", "Darsen D.", "" ], [ "Dunga", "Mohan V.", "" ], [ "Niknejad", "Ali M.", "" ], [ "Hu", "Chenming", "" ], [ "Liang", "Fu-Xiang", "" ], [ "Hung", "Wei-Chen", "" ], [ "Lee", "Jia-Wei", "" ], [ "Hs...
Compact device models play a significant role in connecting device technology and circuit design. BSIM-CMG and BSIM-IMG are industry standard compact models suited for the FinFET and UTBB technologies, respectively. Its surface potential based modeling framework and symmetry preserving properties make them suitable for...
2308.14837
Tegan Wilson
Tegan Wilson, Daniel Amir, Nitika Saran, Robert Kleinberg, Vishal Shrivastav, Hakim Weatherspoon
Breaking the VLB Barrier for Oblivious Reconfigurable Networks
50 pages, 2 figures
null
null
null
cs.DS cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a landmark 1981 paper, Valiant and Brebner gave birth to the study of oblivious routing and, simultaneously, introduced its most powerful and ubiquitous method: Valiant load balancing (VLB). By routing messages through a randomly sampled intermediate node, VLB lengthens routing paths by a factor of two but gains t...
[ { "created": "Mon, 28 Aug 2023 18:47:37 GMT", "version": "v1" }, { "created": "Fri, 1 Dec 2023 18:53:30 GMT", "version": "v2" } ]
2023-12-04
[ [ "Wilson", "Tegan", "" ], [ "Amir", "Daniel", "" ], [ "Saran", "Nitika", "" ], [ "Kleinberg", "Robert", "" ], [ "Shrivastav", "Vishal", "" ], [ "Weatherspoon", "Hakim", "" ] ]
In a landmark 1981 paper, Valiant and Brebner gave birth to the study of oblivious routing and, simultaneously, introduced its most powerful and ubiquitous method: Valiant load balancing (VLB). By routing messages through a randomly sampled intermediate node, VLB lengthens routing paths by a factor of two but gains the...
2307.11897
Akash Velu
Akash Velu, Skanda Vaidyanath, Dilip Arumugam
Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement Learning
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Oftentimes, environments for sequential decision-making problems can be quite sparse in the provision of evaluative feedback to guide reinforcement-learning agents. In the extreme case, long trajectories of behavior are merely punctuated with a single terminal feedback signal, leading to a significant temporal delay ...
[ { "created": "Fri, 21 Jul 2023 20:54:52 GMT", "version": "v1" }, { "created": "Fri, 18 Aug 2023 18:35:02 GMT", "version": "v2" } ]
2023-08-22
[ [ "Velu", "Akash", "" ], [ "Vaidyanath", "Skanda", "" ], [ "Arumugam", "Dilip", "" ] ]
Oftentimes, environments for sequential decision-making problems can be quite sparse in the provision of evaluative feedback to guide reinforcement-learning agents. In the extreme case, long trajectories of behavior are merely punctuated with a single terminal feedback signal, leading to a significant temporal delay be...
1901.08455
Li Yue
Li Yue and Zhao Weibin and Shang Lin
Really should we pruning after model be totally trained? Pruning based on a small amount of training
null
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pre-training of models in pruning algorithms plays an important role in pruning decision-making. We find that excessive pre-training is not necessary for pruning algorithms. According to this idea, we propose a pruning algorithm---Incremental pruning based on less training (IPLT). Compared with the traditional prunin...
[ { "created": "Thu, 24 Jan 2019 15:30:54 GMT", "version": "v1" } ]
2019-01-25
[ [ "Yue", "Li", "" ], [ "Weibin", "Zhao", "" ], [ "Lin", "Shang", "" ] ]
Pre-training of models in pruning algorithms plays an important role in pruning decision-making. We find that excessive pre-training is not necessary for pruning algorithms. According to this idea, we propose a pruning algorithm---Incremental pruning based on less training (IPLT). Compared with the traditional pruning ...
1905.08721
Ben Day
Ezra Webb, Ben Day, Helena Andres-Terre and Pietro Li\'o
Factorised Neural Relational Inference for Multi-Interaction Systems
4 page workshop paper accepted for presentation at the ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Representations with 6 pages of supplementary materials and figures
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many complex natural and cultural phenomena are well modelled by systems of simple interactions between particles. A number of architectures have been developed to articulate this kind of structure, both implicitly and explicitly. We consider an unsupervised explicit model, the NRI model, and make a series of represe...
[ { "created": "Tue, 21 May 2019 15:59:57 GMT", "version": "v1" } ]
2019-05-22
[ [ "Webb", "Ezra", "" ], [ "Day", "Ben", "" ], [ "Andres-Terre", "Helena", "" ], [ "Lió", "Pietro", "" ] ]
Many complex natural and cultural phenomena are well modelled by systems of simple interactions between particles. A number of architectures have been developed to articulate this kind of structure, both implicitly and explicitly. We consider an unsupervised explicit model, the NRI model, and make a series of represent...
2201.00727
Thomas Wachtler
Malin Sandstr\"om, Mathew Abrams, Jan Bjaalie, Mona Hicks, David Kennedy, Arvind Kumar, JB Poline, Prasun Roy, Paul Tiesinga, Thomas Wachtler, Wojtek Goscinski
Recommendations for repositories and scientific gateways from a neuroscience perspective
10 pages, submitted to Scientific Data
null
null
null
cs.CY cs.DL q-bio.NC
http://creativecommons.org/licenses/by/4.0/
Digital services such as repositories and science gateways have become key resources for the neuroscience community, but users often have a hard time orienting themselves in the service landscape to find the best fit for their particular needs. INCF (International Neuroinformatics Coordinating Facility) has developed...
[ { "created": "Mon, 3 Jan 2022 16:01:26 GMT", "version": "v1" } ]
2022-01-04
[ [ "Sandström", "Malin", "" ], [ "Abrams", "Mathew", "" ], [ "Bjaalie", "Jan", "" ], [ "Hicks", "Mona", "" ], [ "Kennedy", "David", "" ], [ "Kumar", "Arvind", "" ], [ "Poline", "JB", "" ], [ "Roy", ...
Digital services such as repositories and science gateways have become key resources for the neuroscience community, but users often have a hard time orienting themselves in the service landscape to find the best fit for their particular needs. INCF (International Neuroinformatics Coordinating Facility) has developed a...
1903.03929
Satyananda Kashyap
Satyananda Kashyap, Ipek Oguz, Honghai Zhang, Milan Sonka
Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative
KEYWORDS: Graph based segmentation; Just enough interaction; LOGISMOS; Neighborhood approximation forests; Osteoarthritis; Random forest classifier; knee MRI PMID: 28626842 PMCID: PMC5471813
Med Image Comput Comput Assist Interv. 2016 Oct;9901:344-351. doi: 10.1007/978-3-319-46723-8_40. Epub 2016 Oct 2
10.1007/978-3-319-46723-8_40
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a fully automated learning-based approach for segmenting knee cartilage in the presence of osteoarthritis (OA). The algorithm employs a hierarchical set of two random forest classifiers. The first is a neighborhood approximation forest, the output probability map of which is utilized as a feature set for t...
[ { "created": "Sun, 10 Mar 2019 06:01:23 GMT", "version": "v1" } ]
2019-03-12
[ [ "Kashyap", "Satyananda", "" ], [ "Oguz", "Ipek", "" ], [ "Zhang", "Honghai", "" ], [ "Sonka", "Milan", "" ] ]
We present a fully automated learning-based approach for segmenting knee cartilage in the presence of osteoarthritis (OA). The algorithm employs a hierarchical set of two random forest classifiers. The first is a neighborhood approximation forest, the output probability map of which is utilized as a feature set for the...
1910.12634
Anne Schreuder
Anne Schreuder, C.-H. Luke Ong
Polynomial Probabilistic Invariants and the Optional Stopping Theorem
16 pages, 4 examples, submitted to TACAS 2020
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present methods for the synthesis of polynomial invariants for probabilistic transition systems. Our approach is based on martingale theory. We construct invariants in the form of polynomials over program variables, which give rise to martingales. These polynomials are program invariants in the sense...
[ { "created": "Fri, 25 Oct 2019 10:09:13 GMT", "version": "v1" } ]
2019-10-29
[ [ "Schreuder", "Anne", "" ], [ "Ong", "C. -H. Luke", "" ] ]
In this paper we present methods for the synthesis of polynomial invariants for probabilistic transition systems. Our approach is based on martingale theory. We construct invariants in the form of polynomials over program variables, which give rise to martingales. These polynomials are program invariants in the sense t...
1903.06482
Shuaifeng Zhi
Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations
To be published in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019)
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Systems which incrementally create 3D semantic maps from image sequences must store and update representations of both geometry and semantic entities. However, while there has been much work on the correct formulation for geometrical estimation, state-of-the-art systems usually rely on simple semantic representations...
[ { "created": "Fri, 15 Mar 2019 12:02:44 GMT", "version": "v1" }, { "created": "Mon, 18 Mar 2019 16:55:47 GMT", "version": "v2" } ]
2019-03-19
[ [ "Zhi", "Shuaifeng", "" ], [ "Bloesch", "Michael", "" ], [ "Leutenegger", "Stefan", "" ], [ "Davison", "Andrew J.", "" ] ]
Systems which incrementally create 3D semantic maps from image sequences must store and update representations of both geometry and semantic entities. However, while there has been much work on the correct formulation for geometrical estimation, state-of-the-art systems usually rely on simple semantic representations w...
2405.00451
Yuxi Xie
Yuxi Xie, Anirudh Goyal, Wenyue Zheng, Min-Yen Kan, Timothy P. Lillicrap, Kenji Kawaguchi, Michael Shieh
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
10 pages, 4 figures, 4 tables (24 pages, 9 figures, 9 tables including references and appendices)
null
null
null
cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
We introduce an approach aimed at enhancing the reasoning capabilities of Large Language Models (LLMs) through an iterative preference learning process inspired by the successful strategy employed by AlphaZero. Our work leverages Monte Carlo Tree Search (MCTS) to iteratively collect preference data, utilizing its loo...
[ { "created": "Wed, 1 May 2024 11:10:24 GMT", "version": "v1" }, { "created": "Mon, 17 Jun 2024 22:11:49 GMT", "version": "v2" } ]
2024-06-19
[ [ "Xie", "Yuxi", "" ], [ "Goyal", "Anirudh", "" ], [ "Zheng", "Wenyue", "" ], [ "Kan", "Min-Yen", "" ], [ "Lillicrap", "Timothy P.", "" ], [ "Kawaguchi", "Kenji", "" ], [ "Shieh", "Michael", "" ] ]
We introduce an approach aimed at enhancing the reasoning capabilities of Large Language Models (LLMs) through an iterative preference learning process inspired by the successful strategy employed by AlphaZero. Our work leverages Monte Carlo Tree Search (MCTS) to iteratively collect preference data, utilizing its look-...
1702.08098
Mike Eichhorn
Mike Eichhorn, Ulrich Kremer
Opportunities to Parallelize Path Planning Algorithms for Autonomous Underwater Vehicles
7 pages, 9 figures, IEEE OCEANS, 2011 - Kona , 19-22 Sept. 2011
null
10.23919/OCEANS.2011.6107121
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper discusses opportunities to parallelize graph based path planning algorithms in a time varying environment. Parallel architectures have become commonplace, requiring algorithm to be parallelized for efficient execution. An additional focal point of this paper is the inclusion of inaccuracies in path plannin...
[ { "created": "Sun, 26 Feb 2017 22:25:59 GMT", "version": "v1" } ]
2020-08-07
[ [ "Eichhorn", "Mike", "" ], [ "Kremer", "Ulrich", "" ] ]
This paper discusses opportunities to parallelize graph based path planning algorithms in a time varying environment. Parallel architectures have become commonplace, requiring algorithm to be parallelized for efficient execution. An additional focal point of this paper is the inclusion of inaccuracies in path planning ...
2307.11305
Thong Hoang
Thong Hoang, Hoa Khanh Dam, Tingting Bi, Qinghua Lu, Zhenchang Xing, Liming Zhu, Lam Duc Nguyen, Shiping Chen
Quantum Software Analytics: Opportunities and Challenges
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by-nc-sa/4.0/
Quantum computing systems depend on the principles of quantum mechanics to perform multiple challenging tasks more efficiently than their classical counterparts. In classical software engineering, the software life cycle is used to document and structure the processes of design, implementation, and maintenance of sof...
[ { "created": "Fri, 21 Jul 2023 02:24:31 GMT", "version": "v1" } ]
2023-07-24
[ [ "Hoang", "Thong", "" ], [ "Dam", "Hoa Khanh", "" ], [ "Bi", "Tingting", "" ], [ "Lu", "Qinghua", "" ], [ "Xing", "Zhenchang", "" ], [ "Zhu", "Liming", "" ], [ "Nguyen", "Lam Duc", "" ], [ "Chen", ...
Quantum computing systems depend on the principles of quantum mechanics to perform multiple challenging tasks more efficiently than their classical counterparts. In classical software engineering, the software life cycle is used to document and structure the processes of design, implementation, and maintenance of softw...
1711.09050
Peter Henderson
Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau
Ethical Challenges in Data-Driven Dialogue Systems
In Submission to the AAAI/ACM conference on Artificial Intelligence, Ethics, and Society
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The use of dialogue systems as a medium for human-machine interaction is an increasingly prevalent paradigm. A growing number of dialogue systems use conversation strategies that are learned from large datasets. There are well documented instances where interactions with these system have resulted in biased or even o...
[ { "created": "Fri, 24 Nov 2017 17:14:34 GMT", "version": "v1" } ]
2017-11-27
[ [ "Henderson", "Peter", "" ], [ "Sinha", "Koustuv", "" ], [ "Angelard-Gontier", "Nicolas", "" ], [ "Ke", "Nan Rosemary", "" ], [ "Fried", "Genevieve", "" ], [ "Lowe", "Ryan", "" ], [ "Pineau", "Joelle", "" ...
The use of dialogue systems as a medium for human-machine interaction is an increasingly prevalent paradigm. A growing number of dialogue systems use conversation strategies that are learned from large datasets. There are well documented instances where interactions with these system have resulted in biased or even off...
1401.0998
Olivier Hermant
Lisa Allali (LIX), Olivier Hermant (CRI, INRIA Paris-Rocquencourt)
Semantic A-translation and Super-consistency entail Classical Cut Elimination
null
LPAR 19 - 19th Conference on Logic for Programming, Artificial Intelligence, and Reasoning - 2013 8312 (2013) 407-422
null
null
cs.LO math.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that if a theory R defined by a rewrite system is super-consistent, the classical sequent calculus modulo R enjoys the cut elimination property, which was an open question. For such theories it was already known that proofs strongly normalize in natural deduction modulo R, and that cut elimination holds in th...
[ { "created": "Mon, 6 Jan 2014 07:10:21 GMT", "version": "v1" } ]
2014-01-07
[ [ "Allali", "Lisa", "", "LIX" ], [ "Hermant", "Olivier", "", "CRI, INRIA Paris-Rocquencourt" ] ]
We show that if a theory R defined by a rewrite system is super-consistent, the classical sequent calculus modulo R enjoys the cut elimination property, which was an open question. For such theories it was already known that proofs strongly normalize in natural deduction modulo R, and that cut elimination holds in the ...
2108.06280
Jintang Li
Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng and Carl Yang
Understanding Structural Vulnerability in Graph Convolutional Networks
7 pages, 5 figures; Published at IJCAI 2021
null
null
null
cs.LG cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent studies have shown that Graph Convolutional Networks (GCNs) are vulnerable to adversarial attacks on the graph structure. Although multiple works have been proposed to improve their robustness against such structural adversarial attacks, the reasons for the success of the attacks remain unclear. In this work, ...
[ { "created": "Fri, 13 Aug 2021 15:07:44 GMT", "version": "v1" }, { "created": "Sat, 11 Sep 2021 02:45:52 GMT", "version": "v2" } ]
2021-09-14
[ [ "Chen", "Liang", "" ], [ "Li", "Jintang", "" ], [ "Peng", "Qibiao", "" ], [ "Liu", "Yang", "" ], [ "Zheng", "Zibin", "" ], [ "Yang", "Carl", "" ] ]
Recent studies have shown that Graph Convolutional Networks (GCNs) are vulnerable to adversarial attacks on the graph structure. Although multiple works have been proposed to improve their robustness against such structural adversarial attacks, the reasons for the success of the attacks remain unclear. In this work, we...
2205.01841
Jinhao Jiang
Jinhao Jiang, Kun Zhou, Wayne Xin Zhao and Ji-Rong Wen
Great Truths are Always Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models
12 pages, NAACL-Findings-2022
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Commonsense reasoning in natural language is a desired ability of artificial intelligent systems. For solving complex commonsense reasoning tasks, a typical solution is to enhance pre-trained language models~(PTMs) with a knowledge-aware graph neural network~(GNN) encoder that models a commonsense knowledge graph~(CS...
[ { "created": "Wed, 4 May 2022 01:27:36 GMT", "version": "v1" } ]
2022-05-05
[ [ "Jiang", "Jinhao", "" ], [ "Zhou", "Kun", "" ], [ "Zhao", "Wayne Xin", "" ], [ "Wen", "Ji-Rong", "" ] ]
Commonsense reasoning in natural language is a desired ability of artificial intelligent systems. For solving complex commonsense reasoning tasks, a typical solution is to enhance pre-trained language models~(PTMs) with a knowledge-aware graph neural network~(GNN) encoder that models a commonsense knowledge graph~(CSKG...
2209.03960
Maximilian Kannapinn
Maximilian Kannapinn and Michael Sch\"afer
Endeavouring Intelligent Process Self-Control by Employing Digital Twin Methodology: Proof-of-Concept Study for Cooking Applications
Accepted version of the manuscript published in CADFEM ANSYS Simulation Conference 2019. Received a best paper award
null
null
null
cs.CE cs.SY eess.SY physics.bio-ph physics.flu-dyn
http://creativecommons.org/licenses/by-nc-nd/4.0/
This work demonstrates the use of the Digital Twin methodology to predict the water concentration and temperature of chicken meat. It marks a milestone on the path to autonomous cooking devices that do not only control device temperatures but culinary food quality markers as well. A custom water transport equation is...
[ { "created": "Thu, 8 Sep 2022 10:29:11 GMT", "version": "v1" } ]
2022-09-12
[ [ "Kannapinn", "Maximilian", "" ], [ "Schäfer", "Michael", "" ] ]
This work demonstrates the use of the Digital Twin methodology to predict the water concentration and temperature of chicken meat. It marks a milestone on the path to autonomous cooking devices that do not only control device temperatures but culinary food quality markers as well. A custom water transport equation is c...
2201.05993
Thaweesak Trongtirakul
Thaweesak Trongtirakul, Kamonnit Pusorn, Umpaporn Peerawanichkul
Computer Simulation-Based Learning: Student Self-Efficacy During COVID-19 Outbreak
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Due to the COVID-19 as a pandemic, the government has forced the nationwide shutdown of several activities, including educational activities. It has resulted in gigantic migration of universities with education over the internet serving as the educational platform. Hand-on-based learning becomes a new challenge. This...
[ { "created": "Sun, 16 Jan 2022 07:36:52 GMT", "version": "v1" }, { "created": "Wed, 19 Jan 2022 03:44:21 GMT", "version": "v2" }, { "created": "Fri, 11 Feb 2022 14:19:49 GMT", "version": "v3" } ]
2022-02-14
[ [ "Trongtirakul", "Thaweesak", "" ], [ "Pusorn", "Kamonnit", "" ], [ "Peerawanichkul", "Umpaporn", "" ] ]
Due to the COVID-19 as a pandemic, the government has forced the nationwide shutdown of several activities, including educational activities. It has resulted in gigantic migration of universities with education over the internet serving as the educational platform. Hand-on-based learning becomes a new challenge. This p...
1304.3429
Glenn Shafer
Glenn Shafer
Probability Judgement in Artificial Intelligence
Appears in Proceedings of the First Conference on Uncertainty in Artificial Intelligence (UAI1985)
null
null
UAI-P-1985-PG-91-98
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper is concerned with two theories of probability judgment: the Bayesian theory and the theory of belief functions. It illustrates these theories with some simple examples and discusses some of the issues that arise when we try to implement them in expert systems. The Bayesian theory is well known; its main id...
[ { "created": "Wed, 27 Mar 2013 19:56:37 GMT", "version": "v1" } ]
2013-04-15
[ [ "Shafer", "Glenn", "" ] ]
This paper is concerned with two theories of probability judgment: the Bayesian theory and the theory of belief functions. It illustrates these theories with some simple examples and discusses some of the issues that arise when we try to implement them in expert systems. The Bayesian theory is well known; its main idea...
2206.10885
Daniele Baieri
Stefano Esposito, Daniele Baieri, Stefan Zellmann, Andr\'e Hinkenjann, Emanuele Rodol\`a
KiloNeuS: A Versatile Neural Implicit Surface Representation for Real-Time Rendering
9 pages, 8 figures
null
null
null
cs.CV cs.GR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
NeRF-based techniques fit wide and deep multi-layer perceptrons (MLPs) to a continuous radiance field that can be rendered from any unseen viewpoint. However, the lack of surface and normals definition and high rendering times limit their usage in typical computer graphics applications. Such limitations have recently...
[ { "created": "Wed, 22 Jun 2022 07:33:26 GMT", "version": "v1" }, { "created": "Mon, 21 Nov 2022 10:13:29 GMT", "version": "v2" } ]
2022-11-22
[ [ "Esposito", "Stefano", "" ], [ "Baieri", "Daniele", "" ], [ "Zellmann", "Stefan", "" ], [ "Hinkenjann", "André", "" ], [ "Rodolà", "Emanuele", "" ] ]
NeRF-based techniques fit wide and deep multi-layer perceptrons (MLPs) to a continuous radiance field that can be rendered from any unseen viewpoint. However, the lack of surface and normals definition and high rendering times limit their usage in typical computer graphics applications. Such limitations have recently b...
1606.00883
Janine Viol
Janine Viol, Rebecca Bernsmann and Kai Riemer
Behavioural Dimensions for Discovering Knowledge Actor Roles Utilising Enterprise Social Network Metrics
ISBN# 978-0-646-95337-3 Presented at the Australasian Conference on Information Systems 2015 (arXiv:1605.01032)
null
null
ACIS/2015/68
cs.CY cs.SI
http://creativecommons.org/licenses/by-nc-sa/4.0/
The identification of distinct user roles is an important theme in social media research. However, for Enterprise Social Networks (ESN), the use of social media within organisations, research identifying such roles is still lacking. Yet, understanding user roles, in particular regarding their knowledge contributions ...
[ { "created": "Sat, 28 May 2016 04:25:17 GMT", "version": "v1" } ]
2016-06-06
[ [ "Viol", "Janine", "" ], [ "Bernsmann", "Rebecca", "" ], [ "Riemer", "Kai", "" ] ]
The identification of distinct user roles is an important theme in social media research. However, for Enterprise Social Networks (ESN), the use of social media within organisations, research identifying such roles is still lacking. Yet, understanding user roles, in particular regarding their knowledge contributions an...
2308.09257
Amr Elsayed Abdelfattah
Amr Elsayed, Tomas Cerny, Jorge Yero Salazar, Austin Lehman, Joshua Hunter, Ashley Bickham and Davide Taibi
End-to-End Test Coverage Metrics in Microservice Systems: An Automated Approach
This paper is accepted for publication at ESOCC 2023
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Microservice architecture gains momentum by fueling systems with cloud-native benefits, scalability, and decentralized evolution. However, new challenges emerge for end-to-end (E2E) testing. Testers who see the decentralized system through the user interface might assume their tests are comprehensive, covering all mi...
[ { "created": "Fri, 18 Aug 2023 02:30:19 GMT", "version": "v1" } ]
2023-08-21
[ [ "Elsayed", "Amr", "" ], [ "Cerny", "Tomas", "" ], [ "Salazar", "Jorge Yero", "" ], [ "Lehman", "Austin", "" ], [ "Hunter", "Joshua", "" ], [ "Bickham", "Ashley", "" ], [ "Taibi", "Davide", "" ] ]
Microservice architecture gains momentum by fueling systems with cloud-native benefits, scalability, and decentralized evolution. However, new challenges emerge for end-to-end (E2E) testing. Testers who see the decentralized system through the user interface might assume their tests are comprehensive, covering all midd...
1008.1653
EPTCS
Markus Holzer, Sebastian Jakobi, Martin Kutrib
The Magic Number Problem for Subregular Language Families
In Proceedings DCFS 2010, arXiv:1008.1270
EPTCS 31, 2010, pp. 110-119
10.4204/EPTCS.31.13
null
cs.FL cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the magic number problem, that is, the question whether there exists a minimal n-state nondeterministic finite automaton (NFA) whose equivalent minimal deterministic finite automaton (DFA) has alpha states, for all n and alpha satisfying n less or equal to alpha less or equal to exp(2,n). A number alph...
[ { "created": "Tue, 10 Aug 2010 08:33:28 GMT", "version": "v1" } ]
2010-08-11
[ [ "Holzer", "Markus", "" ], [ "Jakobi", "Sebastian", "" ], [ "Kutrib", "Martin", "" ] ]
We investigate the magic number problem, that is, the question whether there exists a minimal n-state nondeterministic finite automaton (NFA) whose equivalent minimal deterministic finite automaton (DFA) has alpha states, for all n and alpha satisfying n less or equal to alpha less or equal to exp(2,n). A number alpha ...
1008.5356
Viswanath Nagarajan
Nikhil Bansal, Anupam Gupta, Jian Li, Julian Mestre, Viswanath Nagarajan, Atri Rudra
When LP is the Cure for Your Matching Woes: Improved Bounds for Stochastic Matchings
26 pages, preliminary version appears in ESA 2010
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Consider a random graph model where each possible edge $e$ is present independently with some probability $p_e$. Given these probabilities, we want to build a large/heavy matching in the randomly generated graph. However, the only way we can find out whether an edge is present or not is to query it, and if the edge i...
[ { "created": "Tue, 31 Aug 2010 16:36:56 GMT", "version": "v1" } ]
2010-09-01
[ [ "Bansal", "Nikhil", "" ], [ "Gupta", "Anupam", "" ], [ "Li", "Jian", "" ], [ "Mestre", "Julian", "" ], [ "Nagarajan", "Viswanath", "" ], [ "Rudra", "Atri", "" ] ]
Consider a random graph model where each possible edge $e$ is present independently with some probability $p_e$. Given these probabilities, we want to build a large/heavy matching in the randomly generated graph. However, the only way we can find out whether an edge is present or not is to query it, and if the edge is ...
1701.02379
Ali Dehghan
Ali Dehghan and Amir H. Banihashemi
On the Tanner Graph Cycle Distribution of Random LDPC, Random Protograph-Based LDPC, and Random Quasi-Cyclic LDPC Code Ensembles
To appear in IEEE Trans. Inform. Theory
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study the cycle distribution of random low-density parity-check (LDPC) codes, randomly constructed protograph-based LDPC codes, and random quasi-cyclic (QC) LDPC codes. We prove that for a random bipartite graph, with a given (irregular) degree distribution, the distributions of cycles of different ...
[ { "created": "Mon, 9 Jan 2017 22:37:21 GMT", "version": "v1" }, { "created": "Sat, 10 Feb 2018 23:00:21 GMT", "version": "v2" } ]
2018-02-13
[ [ "Dehghan", "Ali", "" ], [ "Banihashemi", "Amir H.", "" ] ]
In this paper, we study the cycle distribution of random low-density parity-check (LDPC) codes, randomly constructed protograph-based LDPC codes, and random quasi-cyclic (QC) LDPC codes. We prove that for a random bipartite graph, with a given (irregular) degree distribution, the distributions of cycles of different le...
2107.07999
Han Lin
Krzysztof Choromanski, Han Lin, Haoxian Chen, Tianyi Zhang, Arijit Sehanobish, Valerii Likhosherstov, Jack Parker-Holder, Tamas Sarlos, Adrian Weller, Thomas Weingarten
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
20 pages, 12 figures
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
In this paper we provide, to the best of our knowledge, the first comprehensive approach for incorporating various masking mechanisms into Transformers architectures in a scalable way. We show that recent results on linear causal attention (Choromanski et al., 2021) and log-linear RPE-attention (Luo et al., 2021) are...
[ { "created": "Fri, 16 Jul 2021 16:39:10 GMT", "version": "v1" }, { "created": "Sat, 29 Jan 2022 06:53:11 GMT", "version": "v2" }, { "created": "Tue, 1 Feb 2022 04:18:04 GMT", "version": "v3" }, { "created": "Wed, 1 Jun 2022 03:40:31 GMT", "version": "v4" }, { "cre...
2023-03-29
[ [ "Choromanski", "Krzysztof", "" ], [ "Lin", "Han", "" ], [ "Chen", "Haoxian", "" ], [ "Zhang", "Tianyi", "" ], [ "Sehanobish", "Arijit", "" ], [ "Likhosherstov", "Valerii", "" ], [ "Parker-Holder", "Jack", "...
In this paper we provide, to the best of our knowledge, the first comprehensive approach for incorporating various masking mechanisms into Transformers architectures in a scalable way. We show that recent results on linear causal attention (Choromanski et al., 2021) and log-linear RPE-attention (Luo et al., 2021) are s...
1405.4464
Justin Shi
Justin Shi
Seeking the Principles of Sustainable Software Engineering
WSSSPE 2014
null
null
null
cs.DC
http://creativecommons.org/licenses/by-nc-sa/3.0/
Like other engineering disciplines, software engineering should also have principles to guide the construction of sustainable computer applications. Tangible properties include a) unlimited scalability, b) maximal reproducibility, and c) optimizable energy efficiency. In practice, we expect a sustainable scientific a...
[ { "created": "Sun, 18 May 2014 06:29:02 GMT", "version": "v1" }, { "created": "Mon, 21 Jul 2014 17:58:52 GMT", "version": "v2" }, { "created": "Tue, 22 Jul 2014 03:32:48 GMT", "version": "v3" } ]
2014-07-23
[ [ "Shi", "Justin", "" ] ]
Like other engineering disciplines, software engineering should also have principles to guide the construction of sustainable computer applications. Tangible properties include a) unlimited scalability, b) maximal reproducibility, and c) optimizable energy efficiency. In practice, we expect a sustainable scientific app...
2206.07209
Dimitrios Myrisiotis
Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran
On Approximating Total Variation Distance
20 pages, 1 figure
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (2023) Main Track. Pages 3479-3487
10.24963/ijcai.2023/387
null
cs.DS cs.CC cs.DM
http://creativecommons.org/licenses/by/4.0/
Total variation distance (TV distance) is a fundamental notion of distance between probability distributions. In this work, we introduce and study the problem of computing the TV distance of two product distributions over the domain $\{0,1\}^n$. In particular, we establish the following results. 1. The problem of e...
[ { "created": "Tue, 14 Jun 2022 23:33:30 GMT", "version": "v1" }, { "created": "Thu, 17 Aug 2023 03:33:31 GMT", "version": "v2" } ]
2023-08-21
[ [ "Bhattacharyya", "Arnab", "" ], [ "Gayen", "Sutanu", "" ], [ "Meel", "Kuldeep S.", "" ], [ "Myrisiotis", "Dimitrios", "" ], [ "Pavan", "A.", "" ], [ "Vinodchandran", "N. V.", "" ] ]
Total variation distance (TV distance) is a fundamental notion of distance between probability distributions. In this work, we introduce and study the problem of computing the TV distance of two product distributions over the domain $\{0,1\}^n$. In particular, we establish the following results. 1. The problem of exact...
2209.10528
VinayKumar Chapala Mr
Vinay Kumar Chapala, S.M. Zafaruddin
Reconfigurable Intelligent Surface for Vehicular Communications: Exact Performance Analysis with Phase Noise and Mobility
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent research provides an approximation on the performance for reconfigurable intelligent surface (RIS) assisted systems over generalized fading channels with phase noise resulting from imperfect phase compensation at the RIS. In this paper, we developed exact analysis and upper bounds on the performance of RIS-ass...
[ { "created": "Wed, 21 Sep 2022 17:38:41 GMT", "version": "v1" } ]
2022-09-22
[ [ "Chapala", "Vinay Kumar", "" ], [ "Zafaruddin", "S. M.", "" ] ]
Recent research provides an approximation on the performance for reconfigurable intelligent surface (RIS) assisted systems over generalized fading channels with phase noise resulting from imperfect phase compensation at the RIS. In this paper, we developed exact analysis and upper bounds on the performance of RIS-assis...
2010.12663
Nadezhda Chirkova
Nadezhda Chirkova, Sergey Troshin
A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code
Published at the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021)
null
null
null
cs.SE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There is an emerging interest in the application of natural language processing models to source code processing tasks. One of the major problems in applying deep learning to software engineering is that source code often contains a lot of rare identifiers, resulting in huge vocabularies. We propose a simple, yet eff...
[ { "created": "Fri, 23 Oct 2020 20:52:46 GMT", "version": "v1" }, { "created": "Tue, 27 Apr 2021 15:28:30 GMT", "version": "v2" } ]
2021-04-28
[ [ "Chirkova", "Nadezhda", "" ], [ "Troshin", "Sergey", "" ] ]
There is an emerging interest in the application of natural language processing models to source code processing tasks. One of the major problems in applying deep learning to software engineering is that source code often contains a lot of rare identifiers, resulting in huge vocabularies. We propose a simple, yet effec...
1807.02839
Anjan Dutta
Anjan Dutta, Pau Riba, Josep Llad\'os, Alicia Forn\'es
Hierarchical stochastic graphlet embedding for graph-based pattern recognition
In Neural Computing and Applications (17 pages, 5 figures, 6 tables)
null
10.1007/s00521-019-04642-7
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite being very successful within the pattern recognition and machine learning community, graph-based methods are often unusable because of the lack of mathematical operations defined in graph domain. Graph embedding, which maps graphs to a vectorial space, has been proposed as a way to tackle these difficulties e...
[ { "created": "Sun, 8 Jul 2018 15:33:22 GMT", "version": "v1" }, { "created": "Sat, 4 Jan 2020 17:37:12 GMT", "version": "v2" } ]
2020-01-07
[ [ "Dutta", "Anjan", "" ], [ "Riba", "Pau", "" ], [ "Lladós", "Josep", "" ], [ "Fornés", "Alicia", "" ] ]
Despite being very successful within the pattern recognition and machine learning community, graph-based methods are often unusable because of the lack of mathematical operations defined in graph domain. Graph embedding, which maps graphs to a vectorial space, has been proposed as a way to tackle these difficulties ena...
2006.01026
Antonios Antoniadis
Antonios Antoniadis, Themis Gouleakis, Pieter Kleer, Pavel Kolev
Secretary and Online Matching Problems with Machine Learned Advice
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The classical analysis of online algorithms, due to its worst-case nature, can be quite pessimistic when the input instance at hand is far from worst-case. Often this is not an issue with machine learning approaches, which shine in exploiting patterns in past inputs in order to predict the future. However, such predi...
[ { "created": "Mon, 1 Jun 2020 15:44:29 GMT", "version": "v1" }, { "created": "Wed, 21 Oct 2020 10:15:30 GMT", "version": "v2" } ]
2020-10-22
[ [ "Antoniadis", "Antonios", "" ], [ "Gouleakis", "Themis", "" ], [ "Kleer", "Pieter", "" ], [ "Kolev", "Pavel", "" ] ]
The classical analysis of online algorithms, due to its worst-case nature, can be quite pessimistic when the input instance at hand is far from worst-case. Often this is not an issue with machine learning approaches, which shine in exploiting patterns in past inputs in order to predict the future. However, such predict...
1104.1546
David Naccache
Guillaume Claret, Micha\"el Mathieu, David Naccache, Guillaume Seguin
Physical Simulation of Inarticulate Robots
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this note we study the structure and the behavior of inarticulate robots. We introduce a robot that moves by successive revolvings. The robot's structure is analyzed, simulated and discussed in detail.
[ { "created": "Fri, 8 Apr 2011 11:16:59 GMT", "version": "v1" } ]
2015-03-19
[ [ "Claret", "Guillaume", "" ], [ "Mathieu", "Michaël", "" ], [ "Naccache", "David", "" ], [ "Seguin", "Guillaume", "" ] ]
In this note we study the structure and the behavior of inarticulate robots. We introduce a robot that moves by successive revolvings. The robot's structure is analyzed, simulated and discussed in detail.
2208.07272
Scott Alfeld
Ara Vartanian, Will Rosenbaum, Scott Alfeld
Training-Time Attacks against k-Nearest Neighbors
null
null
null
null
cs.LG cs.CR
http://creativecommons.org/licenses/by/4.0/
Nearest neighbor-based methods are commonly used for classification tasks and as subroutines of other data-analysis methods. An attacker with the capability of inserting their own data points into the training set can manipulate the inferred nearest neighbor structure. We distill this goal to the task of performing a...
[ { "created": "Mon, 15 Aug 2022 15:31:03 GMT", "version": "v1" } ]
2022-08-16
[ [ "Vartanian", "Ara", "" ], [ "Rosenbaum", "Will", "" ], [ "Alfeld", "Scott", "" ] ]
Nearest neighbor-based methods are commonly used for classification tasks and as subroutines of other data-analysis methods. An attacker with the capability of inserting their own data points into the training set can manipulate the inferred nearest neighbor structure. We distill this goal to the task of performing a t...
2109.10443
Nathan Ratliff
Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana, Buck Babich, Bryan Peele, Qian Wan, Iretiayo Akinola, Balakumar Sundaralingam, Dieter Fox, Byron Boots, and Nathan D. Ratliff
Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior
null
null
null
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Classical mechanical systems are central to controller design in energy shaping methods of geometric control. However, their expressivity is limited by position-only metrics and the intimate link between metric and geometry. Recent work on Riemannian Motion Policies (RMPs) has shown that shedding these restrictions r...
[ { "created": "Tue, 21 Sep 2021 22:09:32 GMT", "version": "v1" }, { "created": "Tue, 18 Jan 2022 23:10:05 GMT", "version": "v2" } ]
2022-01-20
[ [ "Van Wyk", "Karl", "" ], [ "Xie", "Mandy", "" ], [ "Li", "Anqi", "" ], [ "Rana", "Muhammad Asif", "" ], [ "Babich", "Buck", "" ], [ "Peele", "Bryan", "" ], [ "Wan", "Qian", "" ], [ "Akinola", "I...
Classical mechanical systems are central to controller design in energy shaping methods of geometric control. However, their expressivity is limited by position-only metrics and the intimate link between metric and geometry. Recent work on Riemannian Motion Policies (RMPs) has shown that shedding these restrictions res...
2304.06165
Jennifer Bertrand
Jennifer K Bertrand and Craig S Chapman
Dynamics of eye-hand coordination are flexibly preserved in eye-cursor coordination during an online, digital, object interaction task
null
In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI 23). Association for Computing Machinery, New York, NY, USA, Article 517, 1-13
10.1145/3544548.3580866
null
cs.HC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Do patterns of eye-hand coordination observed during real-world object interactions apply to digital, screen-based object interactions? We adapted a real-world object interaction task (physically transferring cups in sequence about a tabletop) into a two-dimensional screen-based task (dragging-and-dropping circles in...
[ { "created": "Wed, 12 Apr 2023 21:28:44 GMT", "version": "v1" } ]
2023-06-07
[ [ "Bertrand", "Jennifer K", "" ], [ "Chapman", "Craig S", "" ] ]
Do patterns of eye-hand coordination observed during real-world object interactions apply to digital, screen-based object interactions? We adapted a real-world object interaction task (physically transferring cups in sequence about a tabletop) into a two-dimensional screen-based task (dragging-and-dropping circles in s...
2401.13498
Houn Su Kim
Hounsu Kim, Soonbeom Choi, Juhan Nam
Expressive Acoustic Guitar Sound Synthesis with an Instrument-Specific Input Representation and Diffusion Outpainting
Accepted to ICASSP 2024
null
null
null
cs.SD cs.AI cs.LG eess.AS eess.SP
http://creativecommons.org/licenses/by/4.0/
Synthesizing performing guitar sound is a highly challenging task due to the polyphony and high variability in expression. Recently, deep generative models have shown promising results in synthesizing expressive polyphonic instrument sounds from music scores, often using a generic MIDI input. In this work, we propose...
[ { "created": "Wed, 24 Jan 2024 14:44:01 GMT", "version": "v1" } ]
2024-01-25
[ [ "Kim", "Hounsu", "" ], [ "Choi", "Soonbeom", "" ], [ "Nam", "Juhan", "" ] ]
Synthesizing performing guitar sound is a highly challenging task due to the polyphony and high variability in expression. Recently, deep generative models have shown promising results in synthesizing expressive polyphonic instrument sounds from music scores, often using a generic MIDI input. In this work, we propose a...
2402.08532
Ching-Wei Chen
Jason Tang, Garrin McGoldrick, Marie Al-Ghossein, Ching-Wei Chen
Captions Are Worth a Thousand Words: Enhancing Product Retrieval with Pretrained Image-to-Text Models
The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for E-Commerce (ISIR-eCom 2024) Held in conjunction with ACM WSDM - March 8th, 2024
null
null
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
This paper explores the usage of multimodal image-to-text models to enhance text-based item retrieval. We propose utilizing pre-trained image captioning and tagging models, such as instructBLIP and CLIP, to generate text-based product descriptions which are combined with existing text descriptions. Our work is partic...
[ { "created": "Tue, 13 Feb 2024 15:36:39 GMT", "version": "v1" } ]
2024-02-14
[ [ "Tang", "Jason", "" ], [ "McGoldrick", "Garrin", "" ], [ "Al-Ghossein", "Marie", "" ], [ "Chen", "Ching-Wei", "" ] ]
This paper explores the usage of multimodal image-to-text models to enhance text-based item retrieval. We propose utilizing pre-trained image captioning and tagging models, such as instructBLIP and CLIP, to generate text-based product descriptions which are combined with existing text descriptions. Our work is particul...
1912.11570
Alex Lamb
Alex Lamb, Sherjil Ozair, Vikas Verma, David Ha
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
Accepted WACV 2020
null
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep networks have achieved excellent results in perceptual tasks, yet their ability to generalize to variations not seen during training has come under increasing scrutiny. In this work we focus on their ability to have invariance towards the presence or absence of details. For example, humans are able to watch cart...
[ { "created": "Wed, 25 Dec 2019 00:38:47 GMT", "version": "v1" } ]
2019-12-30
[ [ "Lamb", "Alex", "" ], [ "Ozair", "Sherjil", "" ], [ "Verma", "Vikas", "" ], [ "Ha", "David", "" ] ]
Deep networks have achieved excellent results in perceptual tasks, yet their ability to generalize to variations not seen during training has come under increasing scrutiny. In this work we focus on their ability to have invariance towards the presence or absence of details. For example, humans are able to watch cartoo...
2403.02635
Ke Zhang
Ke Zhang, DanDan Zhu, Qiuhan Xu, Hao Zhou and Ce Zheng
PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement Learning
10 pages, 5 figures
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Training for multi-agent reinforcement learning(MARL) is a time-consuming process caused by distribution shift of each agent. One drawback is that strategy of each agent in MARL is independent but actually in cooperation. Thus, a vertical issue in multi-agent reinforcement learning is how to efficiently accelerate tr...
[ { "created": "Tue, 5 Mar 2024 03:59:01 GMT", "version": "v1" } ]
2024-03-06
[ [ "Zhang", "Ke", "" ], [ "Zhu", "DanDan", "" ], [ "Xu", "Qiuhan", "" ], [ "Zhou", "Hao", "" ], [ "Zheng", "Ce", "" ] ]
Training for multi-agent reinforcement learning(MARL) is a time-consuming process caused by distribution shift of each agent. One drawback is that strategy of each agent in MARL is independent but actually in cooperation. Thus, a vertical issue in multi-agent reinforcement learning is how to efficiently accelerate trai...
1101.4718
Frank Nielsen
Marc Arnaudon and Frank Nielsen
On Approximating the Riemannian 1-Center
23 pages
Computational Geometry 46.1 (2013): 93-104
10.1016/j.comgeo.2012.04.007
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we generalize the simple Euclidean 1-center approximation algorithm of Badoiu and Clarkson (2003) to Riemannian geometries and study accordingly the convergence rate. We then show how to instantiate this generic algorithm to two particular cases: (1) hyperbolic geometry, and (2) Riemannian manifold of ...
[ { "created": "Tue, 25 Jan 2011 04:35:23 GMT", "version": "v1" }, { "created": "Wed, 22 Feb 2012 08:27:12 GMT", "version": "v2" }, { "created": "Wed, 18 Apr 2012 02:23:38 GMT", "version": "v3" } ]
2021-04-29
[ [ "Arnaudon", "Marc", "" ], [ "Nielsen", "Frank", "" ] ]
In this paper, we generalize the simple Euclidean 1-center approximation algorithm of Badoiu and Clarkson (2003) to Riemannian geometries and study accordingly the convergence rate. We then show how to instantiate this generic algorithm to two particular cases: (1) hyperbolic geometry, and (2) Riemannian manifold of sy...
2007.04364
Anamaria Radoi
Andreea Birhala, Catalin Nicolae Ristea, Anamaria Radoi, Liviu Cristian Dutu
Temporal aggregation of audio-visual modalities for emotion recognition
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Emotion recognition has a pivotal role in affective computing and in human-computer interaction. The current technological developments lead to increased possibilities of collecting data about the emotional state of a person. In general, human perception regarding the emotion transmitted by a subject is based on voca...
[ { "created": "Wed, 8 Jul 2020 18:44:15 GMT", "version": "v1" } ]
2020-07-10
[ [ "Birhala", "Andreea", "" ], [ "Ristea", "Catalin Nicolae", "" ], [ "Radoi", "Anamaria", "" ], [ "Dutu", "Liviu Cristian", "" ] ]
Emotion recognition has a pivotal role in affective computing and in human-computer interaction. The current technological developments lead to increased possibilities of collecting data about the emotional state of a person. In general, human perception regarding the emotion transmitted by a subject is based on vocal ...
1811.05864
Lemei Huang
Lemei Huang, Yu Guan, Xinggong Zhang, Zongming Guo
UtilCache: Effectively and Practicably Reducing Link Cost in Information-Centric Network
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Minimizing total link cost in Information-Centric Network (ICN) by optimizing content placement is challenging in both effectiveness and practicality. To attain better performance, upstream link cost caused by a cache miss should be considered in addition to content popularity. To make it more practicable, a content ...
[ { "created": "Wed, 14 Nov 2018 15:48:33 GMT", "version": "v1" } ]
2018-11-15
[ [ "Huang", "Lemei", "" ], [ "Guan", "Yu", "" ], [ "Zhang", "Xinggong", "" ], [ "Guo", "Zongming", "" ] ]
Minimizing total link cost in Information-Centric Network (ICN) by optimizing content placement is challenging in both effectiveness and practicality. To attain better performance, upstream link cost caused by a cache miss should be considered in addition to content popularity. To make it more practicable, a content pl...
1406.5917
Mohamed Salah Gouider Dr
Abdelwaheb Ferchichi, Mohamed Salah Gouider
BSTree: an Incremental Indexing Structure for Similarity Search and Real Time Monitoring of Data Streams
null
Future Information Technology Lecture Notes in Electrical Engineering Volume 276, 2014, pp 185-190
null
null
cs.DB
http://creativecommons.org/licenses/by/3.0/
In this work, a new indexing technique of data streams called BSTree is proposed. This technique uses the method of data discretization, SAX [4], to reduce online the dimensionality of data streams. It draws on Btree to build the index and finally uses an LRV (least Recently visited) pruning technique to rid the inde...
[ { "created": "Mon, 23 Jun 2014 14:21:13 GMT", "version": "v1" } ]
2014-06-24
[ [ "Ferchichi", "Abdelwaheb", "" ], [ "Gouider", "Mohamed Salah", "" ] ]
In this work, a new indexing technique of data streams called BSTree is proposed. This technique uses the method of data discretization, SAX [4], to reduce online the dimensionality of data streams. It draws on Btree to build the index and finally uses an LRV (least Recently visited) pruning technique to rid the index ...
2104.06509
Seppo Sierla
Seppo Sierla, Ville Kyrki, Pekka Aarnio, Valeriy Vyatkin
Automatic Assembly Planning based on Digital Product Descriptions
null
Computers in Industry (2018) vol. 97, pp: 34-46
10.1016/j.compind.2018.01.013
null
cs.RO cs.SE
http://creativecommons.org/licenses/by-nc-nd/4.0/
This paper proposes a new concept in which a digital twin derived from a digital product description will automatically perform assembly planning and orchestrate the production resources in a manufacturing cell. Thus the manufacturing cell has generic services with minimal assumptions about what kind of product will ...
[ { "created": "Thu, 25 Mar 2021 14:38:34 GMT", "version": "v1" } ]
2021-04-15
[ [ "Sierla", "Seppo", "" ], [ "Kyrki", "Ville", "" ], [ "Aarnio", "Pekka", "" ], [ "Vyatkin", "Valeriy", "" ] ]
This paper proposes a new concept in which a digital twin derived from a digital product description will automatically perform assembly planning and orchestrate the production resources in a manufacturing cell. Thus the manufacturing cell has generic services with minimal assumptions about what kind of product will be...
2103.11247
Yosi Keller
Aviad Moreshet, Yosi Keller
Attention-Based Multimodal Image Matching
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an attention-based approach for multimodal image patch matching using a Transformer encoder attending to the feature maps of a multiscale Siamese CNN. Our encoder is shown to efficiently aggregate multiscale image embeddings while emphasizing task-specific appearance-invariant image cues. We also introduce...
[ { "created": "Sat, 20 Mar 2021 21:14:24 GMT", "version": "v1" }, { "created": "Sun, 24 Sep 2023 11:58:32 GMT", "version": "v2" } ]
2023-09-26
[ [ "Moreshet", "Aviad", "" ], [ "Keller", "Yosi", "" ] ]
We propose an attention-based approach for multimodal image patch matching using a Transformer encoder attending to the feature maps of a multiscale Siamese CNN. Our encoder is shown to efficiently aggregate multiscale image embeddings while emphasizing task-specific appearance-invariant image cues. We also introduce a...
2309.08196
Tianxu Wu
Zhimeng Xin, Tianxu Wu, Shiming Chen, Yixiong Zou, Ling Shao, Xinge You
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection
12 pages, 7 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Few-shot object detection (FSOD) identifies objects from extremely few annotated samples. Most existing FSOD methods, recently, apply the two-stage learning paradigm, which transfers the knowledge learned from abundant base classes to assist the few-shot detectors by learning the global features. However, such existi...
[ { "created": "Fri, 15 Sep 2023 06:55:43 GMT", "version": "v1" } ]
2023-09-18
[ [ "Xin", "Zhimeng", "" ], [ "Wu", "Tianxu", "" ], [ "Chen", "Shiming", "" ], [ "Zou", "Yixiong", "" ], [ "Shao", "Ling", "" ], [ "You", "Xinge", "" ] ]
Few-shot object detection (FSOD) identifies objects from extremely few annotated samples. Most existing FSOD methods, recently, apply the two-stage learning paradigm, which transfers the knowledge learned from abundant base classes to assist the few-shot detectors by learning the global features. However, such existing...
2303.14247
Bruno Arcanjo Mr
Bruno Arcanjo, Bruno Ferrarini, Michael Milford, Klaus D. McDonald-Maier and Shoaib Ehsan
A-MuSIC: An Adaptive Ensemble System For Visual Place Recognition In Changing Environments
null
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visual place recognition (VPR) is an essential component of robot navigation and localization systems that allows them to identify a place using only image data. VPR is challenging due to the significant changes in a place's appearance under different illumination throughout the day, with seasonal weather and when ob...
[ { "created": "Fri, 24 Mar 2023 19:25:22 GMT", "version": "v1" } ]
2023-03-28
[ [ "Arcanjo", "Bruno", "" ], [ "Ferrarini", "Bruno", "" ], [ "Milford", "Michael", "" ], [ "McDonald-Maier", "Klaus D.", "" ], [ "Ehsan", "Shoaib", "" ] ]
Visual place recognition (VPR) is an essential component of robot navigation and localization systems that allows them to identify a place using only image data. VPR is challenging due to the significant changes in a place's appearance under different illumination throughout the day, with seasonal weather and when obse...
0806.1139
Miguel Andres
Miguel E. Andres, Pedro D'Argenio, Peter van Rossum
Significant Diagnostic Counterexamples in Probabilistic Model Checking
null
null
null
null
cs.LO cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a novel technique for counterexample generation in probabilistic model checking of Markov Chains and Markov Decision Processes. (Finite) paths in counterexamples are grouped together in witnesses that are likely to provide similar debugging information to the user. We list five properties that wit...
[ { "created": "Fri, 6 Jun 2008 13:09:49 GMT", "version": "v1" } ]
2008-06-09
[ [ "Andres", "Miguel E.", "" ], [ "D'Argenio", "Pedro", "" ], [ "van Rossum", "Peter", "" ] ]
This paper presents a novel technique for counterexample generation in probabilistic model checking of Markov Chains and Markov Decision Processes. (Finite) paths in counterexamples are grouped together in witnesses that are likely to provide similar debugging information to the user. We list five properties that witne...
1807.01395
Madhumita Sushil
Madhumita Sushil and Simon \v{S}uster and Kim Luyckx and Walter Daelemans
Patient representation learning and interpretable evaluation using clinical notes
Accepted manuscript at Journal of Biomedical Informatics
Journal of Biomedical Informatics Volume 84C (2018) pp. 103-113
10.1016/j.jbi.2018.06.016
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We have three contributions in this work: 1. We explore the utility of a stacked denoising autoencoder and a paragraph vector model to learn task-independent dense patient representations directly from clinical notes. To analyze if these representations are transferable across tasks, we evaluate them in multiple supe...
[ { "created": "Tue, 3 Jul 2018 23:20:49 GMT", "version": "v1" } ]
2018-07-05
[ [ "Sushil", "Madhumita", "" ], [ "Šuster", "Simon", "" ], [ "Luyckx", "Kim", "" ], [ "Daelemans", "Walter", "" ] ]
We have three contributions in this work: 1. We explore the utility of a stacked denoising autoencoder and a paragraph vector model to learn task-independent dense patient representations directly from clinical notes. To analyze if these representations are transferable across tasks, we evaluate them in multiple superv...
1803.07031
Agisilaos Chartsias
Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle Williams, David Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
Factorised spatial representation learning: application in semi-supervised myocardial segmentation
Accepted in MICCAI 2018
International Conference on Medical Image Computing and Computer Assisted Intervention (2018) pp. 490-498. Springer, Cham
10.1007/978-3-030-00934-2_55
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The success and generalisation of deep learning algorithms heavily depend on learning good feature representations. In medical imaging this entails representing anatomical information, as well as properties related to the specific imaging setting. Anatomical information is required to perform further analysis, wherea...
[ { "created": "Mon, 19 Mar 2018 16:44:00 GMT", "version": "v1" }, { "created": "Fri, 2 Nov 2018 14:37:12 GMT", "version": "v2" } ]
2020-04-21
[ [ "Chartsias", "Agisilaos", "" ], [ "Joyce", "Thomas", "" ], [ "Papanastasiou", "Giorgos", "" ], [ "Semple", "Scott", "" ], [ "Williams", "Michelle", "" ], [ "Newby", "David", "" ], [ "Dharmakumar", "Rohan", ...
The success and generalisation of deep learning algorithms heavily depend on learning good feature representations. In medical imaging this entails representing anatomical information, as well as properties related to the specific imaging setting. Anatomical information is required to perform further analysis, whereas ...
2101.02000
Jialiang Zhang
Jialiang Zhang, Lixiang Lin, Jianke Zhu, Steven C.H. Hoi
Weakly-Supervised Multi-Face 3D Reconstruction
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
3D face reconstruction plays a very important role in many real-world multimedia applications, including digital entertainment, social media, affection analysis, and person identification. The de-facto pipeline for estimating the parametric face model from an image requires to firstly detect the facial regions with l...
[ { "created": "Wed, 6 Jan 2021 13:15:21 GMT", "version": "v1" } ]
2021-01-07
[ [ "Zhang", "Jialiang", "" ], [ "Lin", "Lixiang", "" ], [ "Zhu", "Jianke", "" ], [ "Hoi", "Steven C. H.", "" ] ]
3D face reconstruction plays a very important role in many real-world multimedia applications, including digital entertainment, social media, affection analysis, and person identification. The de-facto pipeline for estimating the parametric face model from an image requires to firstly detect the facial regions with lan...
1605.02824
Xiaowang Zhang
Zhihui Liu and Zhiyong Feng and Xiaowang Zhang and Xin Wang and Guozheng Rao
RORS: Enhanced Rule-based OWL Reasoning on Spark
12 pages
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rule-based OWL reasoning is to compute the deductive closure of an ontology by applying RDF/RDFS and OWL entailment rules. The performance of the rule-based OWL reasoning is often sensitive to the rule execution order. In this paper, we present an approach to enhancing the performance of the rule-based OWL reason...
[ { "created": "Tue, 10 May 2016 02:27:09 GMT", "version": "v1" } ]
2016-10-04
[ [ "Liu", "Zhihui", "" ], [ "Feng", "Zhiyong", "" ], [ "Zhang", "Xiaowang", "" ], [ "Wang", "Xin", "" ], [ "Rao", "Guozheng", "" ] ]
The rule-based OWL reasoning is to compute the deductive closure of an ontology by applying RDF/RDFS and OWL entailment rules. The performance of the rule-based OWL reasoning is often sensitive to the rule execution order. In this paper, we present an approach to enhancing the performance of the rule-based OWL reasonin...
2402.11168
Amit Dhurandhar
Amit Dhurandhar, Swagatam Haldar, Dennis Wei and Karthikeyan Natesan Ramamurthy
Trust Regions for Explanations via Black-Box Probabilistic Certification
Accepted to ICML 2024
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Given the black box nature of machine learning models, a plethora of explainability methods have been developed to decipher the factors behind individual decisions. In this paper, we introduce a novel problem of black box (probabilistic) explanation certification. We ask the question: Given a black box model with onl...
[ { "created": "Sat, 17 Feb 2024 02:26:14 GMT", "version": "v1" }, { "created": "Wed, 21 Feb 2024 00:05:25 GMT", "version": "v2" }, { "created": "Wed, 5 Jun 2024 16:36:21 GMT", "version": "v3" } ]
2024-06-06
[ [ "Dhurandhar", "Amit", "" ], [ "Haldar", "Swagatam", "" ], [ "Wei", "Dennis", "" ], [ "Ramamurthy", "Karthikeyan Natesan", "" ] ]
Given the black box nature of machine learning models, a plethora of explainability methods have been developed to decipher the factors behind individual decisions. In this paper, we introduce a novel problem of black box (probabilistic) explanation certification. We ask the question: Given a black box model with only ...
2106.14060
Mohammed El Hassouni
Zakariae Abbad, Ahmed Drissi El Maliani, Said Ouatik El Alaoui, Mohammed El Hassouni
A Graph-based approach to derive the geodesic distance on Statistical manifolds: Application to Multimedia Information Retrieval
null
null
10.1109/WINCOM50532.2020.9272434
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we leverage the properties of non-Euclidean Geometry to define the Geodesic distance (GD) on the space of statistical manifolds. The Geodesic distance is a real and intuitive similarity measure that is a good alternative to the purely statistical and extensively used Kullback-Leibler divergence (KLD). ...
[ { "created": "Sat, 26 Jun 2021 16:39:54 GMT", "version": "v1" } ]
2021-06-29
[ [ "Abbad", "Zakariae", "" ], [ "Maliani", "Ahmed Drissi El", "" ], [ "Alaoui", "Said Ouatik El", "" ], [ "Hassouni", "Mohammed El", "" ] ]
In this paper, we leverage the properties of non-Euclidean Geometry to define the Geodesic distance (GD) on the space of statistical manifolds. The Geodesic distance is a real and intuitive similarity measure that is a good alternative to the purely statistical and extensively used Kullback-Leibler divergence (KLD). De...
1810.04361
Shrinu Kushagra
Shrinu Kushagra, Shai Ben-David, Ihab Ilyas
Semi-supervised clustering for de-duplication
null
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019
null
PMLR 89:1659-1667, 2019
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data de-duplication is the task of detecting multiple records that correspond to the same real-world entity in a database. In this work, we view de-duplication as a clustering problem where the goal is to put records corresponding to the same physical entity in the same cluster and putting records corresponding to di...
[ { "created": "Wed, 10 Oct 2018 04:12:50 GMT", "version": "v1" } ]
2020-05-27
[ [ "Kushagra", "Shrinu", "" ], [ "Ben-David", "Shai", "" ], [ "Ilyas", "Ihab", "" ] ]
Data de-duplication is the task of detecting multiple records that correspond to the same real-world entity in a database. In this work, we view de-duplication as a clustering problem where the goal is to put records corresponding to the same physical entity in the same cluster and putting records corresponding to diff...
2310.14222
Yong Du
Yong Du, Jiahui Zhan, Shengfeng He, Xinzhe Li, Junyu Dong, Sheng Chen, and Ming-Hsuan Yang
One-for-All: Towards Universal Domain Translation with a Single StyleGAN
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a novel translation model, UniTranslator, for transforming representations between visually distinct domains under conditions of limited training data and significant visual differences. The main idea behind our approach is leveraging the domain-neutral capabilities of CLIP as a bridging mec...
[ { "created": "Sun, 22 Oct 2023 08:02:55 GMT", "version": "v1" } ]
2023-10-24
[ [ "Du", "Yong", "" ], [ "Zhan", "Jiahui", "" ], [ "He", "Shengfeng", "" ], [ "Li", "Xinzhe", "" ], [ "Dong", "Junyu", "" ], [ "Chen", "Sheng", "" ], [ "Yang", "Ming-Hsuan", "" ] ]
In this paper, we propose a novel translation model, UniTranslator, for transforming representations between visually distinct domains under conditions of limited training data and significant visual differences. The main idea behind our approach is leveraging the domain-neutral capabilities of CLIP as a bridging mecha...
1404.1237
Giulio Coluccia
Giulio Coluccia, Aline Roumy, Enrico Magli
Operational Rate-Distortion Performance of Single-source and Distributed Compressed Sensing
To appear in IEEE Transactions on Communications
null
10.1109/TCOMM.2014.2316176
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider correlated and distributed sources without cooperation at the encoder. For these sources, we derive the best achievable performance in the rate-distortion sense of any distributed compressed sensing scheme, under the constraint of high--rate quantization. Moreover, under this model we derive a closed--for...
[ { "created": "Fri, 4 Apr 2014 12:45:13 GMT", "version": "v1" } ]
2014-04-10
[ [ "Coluccia", "Giulio", "" ], [ "Roumy", "Aline", "" ], [ "Magli", "Enrico", "" ] ]
We consider correlated and distributed sources without cooperation at the encoder. For these sources, we derive the best achievable performance in the rate-distortion sense of any distributed compressed sensing scheme, under the constraint of high--rate quantization. Moreover, under this model we derive a closed--form ...
1811.08116
Hua Chai
Hua Chai
Traffic-aware Threshold Adjustment for NFV Scaling using DDPG
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current solutions mostly focus on how to predict traffic, rather than observing traffic characteristics in a specific NFV scenario. So, most of them use a uniform threshold to scale in/out. In real NFV scenario, each VNF may serve the one or more flows, and the characteristics of these flows are completely different,...
[ { "created": "Tue, 20 Nov 2018 08:18:52 GMT", "version": "v1" } ]
2018-11-21
[ [ "Chai", "Hua", "" ] ]
Current solutions mostly focus on how to predict traffic, rather than observing traffic characteristics in a specific NFV scenario. So, most of them use a uniform threshold to scale in/out. In real NFV scenario, each VNF may serve the one or more flows, and the characteristics of these flows are completely different, a...
2304.09502
Jeonghwan Kim
Jeonghwan Kim (1), Mi-Gyeong Gwon (1), Hyunwoo Park (1), Hyukmin Kwon (2), Gi-Mun Um (2), Wonjun Kim (1) ((1) Konkuk University, (2) Electronics and Telecommunications Research Institute)
Sampling is Matter: Point-guided 3D Human Mesh Reconstruction
Accepted by CVPR 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a simple yet powerful method for 3D human mesh reconstruction from a single RGB image. Most recently, the non-local interactions of the whole mesh vertices have been effectively estimated in the transformer while the relationship between body parts also has begun to be handled via the graph model....
[ { "created": "Wed, 19 Apr 2023 08:45:26 GMT", "version": "v1" } ]
2023-04-20
[ [ "Kim", "Jeonghwan", "" ], [ "Gwon", "Mi-Gyeong", "" ], [ "Park", "Hyunwoo", "" ], [ "Kwon", "Hyukmin", "" ], [ "Um", "Gi-Mun", "" ], [ "Kim", "Wonjun", "" ] ]
This paper presents a simple yet powerful method for 3D human mesh reconstruction from a single RGB image. Most recently, the non-local interactions of the whole mesh vertices have been effectively estimated in the transformer while the relationship between body parts also has begun to be handled via the graph model. E...
2211.10688
Marina Speranskaya
Marina Speranskaya, Sameh Methias, Benjamin Roth
ReInform: Selecting paths with reinforcement learning for contextualized link prediction
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose to use reinforcement learning to inform transformer-based contextualized link prediction models by providing paths that are most useful for predicting the correct answer. This is in contrast to previous approaches, that either used reinforcement learning (RL) to directly search for the answer, or based the...
[ { "created": "Sat, 19 Nov 2022 13:04:53 GMT", "version": "v1" }, { "created": "Mon, 23 Jan 2023 11:29:44 GMT", "version": "v2" } ]
2023-01-24
[ [ "Speranskaya", "Marina", "" ], [ "Methias", "Sameh", "" ], [ "Roth", "Benjamin", "" ] ]
We propose to use reinforcement learning to inform transformer-based contextualized link prediction models by providing paths that are most useful for predicting the correct answer. This is in contrast to previous approaches, that either used reinforcement learning (RL) to directly search for the answer, or based their...
2002.00461
Sarwan Ali
Asad Ullah, Sarwan Ali, Imdadullah Khan, Muhammad Asad Khan, Safiullah Faizullah
Effect of Analysis Window and Feature Selection on Classification of Hand Movements Using EMG Signal
Accepted to Intelligent Systems Conference (IntelliSys) 2020
null
null
null
cs.CV eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Electromyography (EMG) signals have been successfully employed for driving prosthetic limbs of a single or double degree of freedom. This principle works by using the amplitude of the EMG signals to decide between one or two simpler movements. This method underperforms as compare to the contemporary advances done at ...
[ { "created": "Sun, 2 Feb 2020 19:03:23 GMT", "version": "v1" }, { "created": "Thu, 13 Feb 2020 07:58:24 GMT", "version": "v2" }, { "created": "Sun, 15 Mar 2020 23:07:48 GMT", "version": "v3" }, { "created": "Tue, 11 Aug 2020 18:21:46 GMT", "version": "v4" } ]
2020-08-13
[ [ "Ullah", "Asad", "" ], [ "Ali", "Sarwan", "" ], [ "Khan", "Imdadullah", "" ], [ "Khan", "Muhammad Asad", "" ], [ "Faizullah", "Safiullah", "" ] ]
Electromyography (EMG) signals have been successfully employed for driving prosthetic limbs of a single or double degree of freedom. This principle works by using the amplitude of the EMG signals to decide between one or two simpler movements. This method underperforms as compare to the contemporary advances done at th...
2312.02409
Yizhe Zhao
Yiqian Gan, Hao Xiao, Yizhe Zhao, Ethan Zhang, Zhe Huang, Xin Ye, Lingting Ge
MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR
Accepted to ICRA 2024
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motion prediction has been an essential component of autonomous driving systems since it handles highly uncertain and complex scenarios involving moving agents of different types. In this paper, we propose a Multi-Granular TRansformer (MGTR) framework, an encoder-decoder network that exploits context features in diff...
[ { "created": "Tue, 5 Dec 2023 00:48:31 GMT", "version": "v1" }, { "created": "Mon, 5 Feb 2024 19:56:54 GMT", "version": "v2" } ]
2024-02-07
[ [ "Gan", "Yiqian", "" ], [ "Xiao", "Hao", "" ], [ "Zhao", "Yizhe", "" ], [ "Zhang", "Ethan", "" ], [ "Huang", "Zhe", "" ], [ "Ye", "Xin", "" ], [ "Ge", "Lingting", "" ] ]
Motion prediction has been an essential component of autonomous driving systems since it handles highly uncertain and complex scenarios involving moving agents of different types. In this paper, we propose a Multi-Granular TRansformer (MGTR) framework, an encoder-decoder network that exploits context features in differ...
2205.02070
Xian Wu
Xian Wu, Chen Wang, Hongbo Fu, Ariel Shamir, Song-Hai Zhang, Shi-Min Hu
DeepPortraitDrawing: Generating Human Body Images from Freehand Sketches
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Researchers have explored various ways to generate realistic images from freehand sketches, e.g., for objects and human faces. However, how to generate realistic human body images from sketches is still a challenging problem. It is, first because of the sensitivity to human shapes, second because of the complexity of...
[ { "created": "Wed, 4 May 2022 14:02:45 GMT", "version": "v1" }, { "created": "Fri, 20 May 2022 17:00:19 GMT", "version": "v2" } ]
2022-05-23
[ [ "Wu", "Xian", "" ], [ "Wang", "Chen", "" ], [ "Fu", "Hongbo", "" ], [ "Shamir", "Ariel", "" ], [ "Zhang", "Song-Hai", "" ], [ "Hu", "Shi-Min", "" ] ]
Researchers have explored various ways to generate realistic images from freehand sketches, e.g., for objects and human faces. However, how to generate realistic human body images from sketches is still a challenging problem. It is, first because of the sensitivity to human shapes, second because of the complexity of h...
1912.07824
Chao Li
Chao Li and Balaji Palanisamy
SilentDelivery: Practical Timed-delivery of Private Information using Smart Contracts
This paper has been accepted by IEEE Transactions on Services Computing
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes SilentDelivery, a secure, scalable and cost-efficient protocol for implementing timed information delivery service in a decentralized blockchain network. SilentDelivery employs a novel combination of threshold secret sharing and decentralized smart contracts. The protocol maintains shares of the d...
[ { "created": "Tue, 17 Dec 2019 05:22:16 GMT", "version": "v1" }, { "created": "Mon, 19 Jul 2021 07:53:00 GMT", "version": "v2" } ]
2021-07-20
[ [ "Li", "Chao", "" ], [ "Palanisamy", "Balaji", "" ] ]
This paper proposes SilentDelivery, a secure, scalable and cost-efficient protocol for implementing timed information delivery service in a decentralized blockchain network. SilentDelivery employs a novel combination of threshold secret sharing and decentralized smart contracts. The protocol maintains shares of the dec...
2405.14507
Chufan Shi
Chufan Shi, Cheng Yang, Xinyu Zhu, Jiahao Wang, Taiqiang Wu, Siheng Li, Deng Cai, Yujiu Yang, Yu Meng
Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast
null
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Mixture-of-Experts (MoE) has emerged as a prominent architecture for scaling model size while maintaining computational efficiency. In MoE, each token in the input sequence activates a different subset of experts determined by a routing mechanism. However, the unchosen experts in MoE models do not contribute to the o...
[ { "created": "Thu, 23 May 2024 12:45:29 GMT", "version": "v1" } ]
2024-05-24
[ [ "Shi", "Chufan", "" ], [ "Yang", "Cheng", "" ], [ "Zhu", "Xinyu", "" ], [ "Wang", "Jiahao", "" ], [ "Wu", "Taiqiang", "" ], [ "Li", "Siheng", "" ], [ "Cai", "Deng", "" ], [ "Yang", "Yujiu", ...
Mixture-of-Experts (MoE) has emerged as a prominent architecture for scaling model size while maintaining computational efficiency. In MoE, each token in the input sequence activates a different subset of experts determined by a routing mechanism. However, the unchosen experts in MoE models do not contribute to the out...
1709.04095
Audrey Durand
Audrey Durand, Jean-Alexandre Beaumont, Christian Gagne, Michel Lemay, Sebastien Paquet
Query Completion Using Bandits for Engines Aggregation
Presented at The 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), June 11-14 (2017), University of Michigan, USA
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Assisting users by suggesting completed queries as they type is a common feature of search systems known as query auto-completion. A query auto-completion engine may use prior signals and available information (e.g., user is anonymous, user has a history, user visited the site before the search or not, etc.) in order...
[ { "created": "Wed, 13 Sep 2017 00:44:09 GMT", "version": "v1" } ]
2017-09-14
[ [ "Durand", "Audrey", "" ], [ "Beaumont", "Jean-Alexandre", "" ], [ "Gagne", "Christian", "" ], [ "Lemay", "Michel", "" ], [ "Paquet", "Sebastien", "" ] ]
Assisting users by suggesting completed queries as they type is a common feature of search systems known as query auto-completion. A query auto-completion engine may use prior signals and available information (e.g., user is anonymous, user has a history, user visited the site before the search or not, etc.) in order t...
1911.02559
Zhiqiang Shen
Zhiqiang Shen and Harsh Maheshwari and Weichen Yao and Marios Savvides
SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unsupervised domain adaptive object detection aims to learn a robust detector in the domain shift circumstance, where the training (source) domain is label-rich with bounding box annotations, while the testing (target) domain is label-agnostic and the feature distributions between training and testing domains are dis...
[ { "created": "Wed, 6 Nov 2019 18:59:01 GMT", "version": "v1" }, { "created": "Mon, 11 Nov 2019 18:21:36 GMT", "version": "v2" }, { "created": "Thu, 21 Nov 2019 05:43:14 GMT", "version": "v3" } ]
2019-11-22
[ [ "Shen", "Zhiqiang", "" ], [ "Maheshwari", "Harsh", "" ], [ "Yao", "Weichen", "" ], [ "Savvides", "Marios", "" ] ]
Unsupervised domain adaptive object detection aims to learn a robust detector in the domain shift circumstance, where the training (source) domain is label-rich with bounding box annotations, while the testing (target) domain is label-agnostic and the feature distributions between training and testing domains are dissi...
2308.05096
Srivatsan Sridhar
Joachim Neu, Srivatsan Sridhar, Lei Yang, David Tse
Optimal Flexible Consensus and its Application to Ethereum
To be published at the IEEE Symposium on Security & Privacy 2024
null
null
null
cs.DC cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Classic BFT consensus protocols guarantee safety and liveness for all clients if fewer than one-third of replicas are faulty. However, in applications such as high-value payments, some clients may want to prioritize safety over liveness. Flexible consensus allows each client to opt for a higher safety resilience, alb...
[ { "created": "Wed, 9 Aug 2023 17:46:01 GMT", "version": "v1" }, { "created": "Thu, 10 Aug 2023 02:28:14 GMT", "version": "v2" }, { "created": "Sun, 3 Dec 2023 21:34:34 GMT", "version": "v3" } ]
2023-12-05
[ [ "Neu", "Joachim", "" ], [ "Sridhar", "Srivatsan", "" ], [ "Yang", "Lei", "" ], [ "Tse", "David", "" ] ]
Classic BFT consensus protocols guarantee safety and liveness for all clients if fewer than one-third of replicas are faulty. However, in applications such as high-value payments, some clients may want to prioritize safety over liveness. Flexible consensus allows each client to opt for a higher safety resilience, albei...
2303.03475
Youngseo Kim
Youngseo Kim, Danushka Edirimanna, Michael Wilbur, Philip Pugliese, Aron Laszka, Abhishek Dubey, Samitha Samaranayake
Rolling Horizon based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows
null
null
null
null
cs.AI cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The offline pickup and delivery problem with time windows (PDPTW) is a classical combinatorial optimization problem in the transportation community, which has proven to be very challenging computationally. Due to the complexity of the problem, practical problem instances can be solved only via heuristics, which trade...
[ { "created": "Mon, 6 Mar 2023 20:07:05 GMT", "version": "v1" } ]
2023-03-08
[ [ "Kim", "Youngseo", "" ], [ "Edirimanna", "Danushka", "" ], [ "Wilbur", "Michael", "" ], [ "Pugliese", "Philip", "" ], [ "Laszka", "Aron", "" ], [ "Dubey", "Abhishek", "" ], [ "Samaranayake", "Samitha", "" ...
The offline pickup and delivery problem with time windows (PDPTW) is a classical combinatorial optimization problem in the transportation community, which has proven to be very challenging computationally. Due to the complexity of the problem, practical problem instances can be solved only via heuristics, which trade-o...
1302.3608
Sylvie Thiebaux
Sylvie Thiebaux, Marie-Odile Cordier, Olivier Jehl, Jean-Paul Krivine
Supply Restoration in Power Distribution Systems - A Case Study in Integrating Model-Based Diagnosis and Repair Planning
Appears in Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (UAI1996)
null
null
UAI-P-1996-PG-525-532
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Integrating diagnosis and repair is particularly crucial when gaining sufficient information to discriminate between several candidate diagnoses requires carrying out some repair actions. A typical case is supply restoration in a faulty power distribution system. This problem, which is a major concern for electricity...
[ { "created": "Wed, 13 Feb 2013 14:17:05 GMT", "version": "v1" } ]
2013-02-18
[ [ "Thiebaux", "Sylvie", "" ], [ "Cordier", "Marie-Odile", "" ], [ "Jehl", "Olivier", "" ], [ "Krivine", "Jean-Paul", "" ] ]
Integrating diagnosis and repair is particularly crucial when gaining sufficient information to discriminate between several candidate diagnoses requires carrying out some repair actions. A typical case is supply restoration in a faulty power distribution system. This problem, which is a major concern for electricity d...
1905.10784
Ioan Marius Bilasco PhD
Romain Belmonte, Benjamin Allaert, Pierre Tirilly, Ioan Marius Bilasco, Chaabane Djeraba, Nicu Sebe
Impact of facial landmark localization on facial expression recognition
null
null
10.1109/TAFFC.2021.3124142
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although facial landmark localization (FLL) approaches are becoming increasingly accurate for characterizing facial regions, one question remains unanswered: what is the impact of these approaches on subsequent related tasks? In this paper, the focus is put on facial expression recognition (FER), where facial landmar...
[ { "created": "Sun, 26 May 2019 10:50:46 GMT", "version": "v1" }, { "created": "Sun, 20 Dec 2020 19:17:40 GMT", "version": "v2" }, { "created": "Mon, 19 Jul 2021 07:11:14 GMT", "version": "v3" } ]
2021-11-12
[ [ "Belmonte", "Romain", "" ], [ "Allaert", "Benjamin", "" ], [ "Tirilly", "Pierre", "" ], [ "Bilasco", "Ioan Marius", "" ], [ "Djeraba", "Chaabane", "" ], [ "Sebe", "Nicu", "" ] ]
Although facial landmark localization (FLL) approaches are becoming increasingly accurate for characterizing facial regions, one question remains unanswered: what is the impact of these approaches on subsequent related tasks? In this paper, the focus is put on facial expression recognition (FER), where facial landmarks...
1812.00619
Evgeniy Shishkin
Evgeniy Shishkin
Debugging Smart Contract's Business Logic Using Symbolic Model-Checking
16 pages
null
null
null
cs.LO cs.CR cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Smart contracts are a special type of programs running inside a blockchain. Immutable and transparent, they provide means to implement fault-tolerant and censorship-resistant services. Unfortunately, its immutability causes a serious challenge of ensuring that a business logic and implementation is correct upfront, b...
[ { "created": "Mon, 3 Dec 2018 09:25:22 GMT", "version": "v1" } ]
2018-12-04
[ [ "Shishkin", "Evgeniy", "" ] ]
Smart contracts are a special type of programs running inside a blockchain. Immutable and transparent, they provide means to implement fault-tolerant and censorship-resistant services. Unfortunately, its immutability causes a serious challenge of ensuring that a business logic and implementation is correct upfront, bef...
2309.08952
Jiaan Wang
Jiaan Wang, Yunlong Liang, Zengkui Sun, Yuxuan Cao, Jiarong Xu, Fandong Meng
Cross-Lingual Knowledge Editing in Large Language Models
Accepted to ACL 2024 main conference
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Knowledge editing aims to change language models' performance on several special cases (i.e., editing scope) by infusing the corresponding expected knowledge into them. With the recent advancements in large language models (LLMs), knowledge editing has been shown as a promising technique to adapt LLMs to new knowledg...
[ { "created": "Sat, 16 Sep 2023 11:07:52 GMT", "version": "v1" }, { "created": "Thu, 30 May 2024 13:49:47 GMT", "version": "v2" } ]
2024-05-31
[ [ "Wang", "Jiaan", "" ], [ "Liang", "Yunlong", "" ], [ "Sun", "Zengkui", "" ], [ "Cao", "Yuxuan", "" ], [ "Xu", "Jiarong", "" ], [ "Meng", "Fandong", "" ] ]
Knowledge editing aims to change language models' performance on several special cases (i.e., editing scope) by infusing the corresponding expected knowledge into them. With the recent advancements in large language models (LLMs), knowledge editing has been shown as a promising technique to adapt LLMs to new knowledge ...
2312.06662
Agrim Gupta
Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, Jos\'e Lezama
Photorealistic Video Generation with Diffusion Models
Project website https://walt-video-diffusion.github.io/
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
We present W.A.L.T, a transformer-based approach for photorealistic video generation via diffusion modeling. Our approach has two key design decisions. First, we use a causal encoder to jointly compress images and videos within a unified latent space, enabling training and generation across modalities. Second, for me...
[ { "created": "Mon, 11 Dec 2023 18:59:57 GMT", "version": "v1" } ]
2023-12-12
[ [ "Gupta", "Agrim", "" ], [ "Yu", "Lijun", "" ], [ "Sohn", "Kihyuk", "" ], [ "Gu", "Xiuye", "" ], [ "Hahn", "Meera", "" ], [ "Fei-Fei", "Li", "" ], [ "Essa", "Irfan", "" ], [ "Jiang", "Lu", ""...
We present W.A.L.T, a transformer-based approach for photorealistic video generation via diffusion modeling. Our approach has two key design decisions. First, we use a causal encoder to jointly compress images and videos within a unified latent space, enabling training and generation across modalities. Second, for memo...
1909.02629
Ming-Hung Shih
Trong Duc Nguyen, Ming-Hung Shih, Sai Sree Parvathaneni, Bojian Xu, Divesh Srivastava, Srikanta Tirthapura
Random Sampling for Group-By Queries
null
null
null
null
cs.DB cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Random sampling has been widely used in approximate query processing on large databases, due to its potential to significantly reduce resource usage and response times, at the cost of a small approximation error. We consider random sampling for answering the ubiquitous class of group-by queries, which first group dat...
[ { "created": "Thu, 5 Sep 2019 20:52:42 GMT", "version": "v1" }, { "created": "Tue, 10 Sep 2019 16:15:22 GMT", "version": "v2" }, { "created": "Thu, 12 Sep 2019 07:14:41 GMT", "version": "v3" } ]
2019-09-13
[ [ "Nguyen", "Trong Duc", "" ], [ "Shih", "Ming-Hung", "" ], [ "Parvathaneni", "Sai Sree", "" ], [ "Xu", "Bojian", "" ], [ "Srivastava", "Divesh", "" ], [ "Tirthapura", "Srikanta", "" ] ]
Random sampling has been widely used in approximate query processing on large databases, due to its potential to significantly reduce resource usage and response times, at the cost of a small approximation error. We consider random sampling for answering the ubiquitous class of group-by queries, which first group data ...