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2008.06030
Nicolas Rougier
Nicolas P. Rougier
On the design of text editors
5 pages, 5 figures, conference
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Text editors are written by and for developers. They come with a large set of default and implicit choices in terms of layout, typography, colorization and interaction that hardly change from one editor to the other. It is not clear if these implicit choices derive from the ignorance of alternatives or if they derive...
[ { "created": "Thu, 13 Aug 2020 17:40:48 GMT", "version": "v1" }, { "created": "Thu, 3 Sep 2020 09:51:05 GMT", "version": "v2" } ]
2020-09-04
[ [ "Rougier", "Nicolas P.", "" ] ]
Text editors are written by and for developers. They come with a large set of default and implicit choices in terms of layout, typography, colorization and interaction that hardly change from one editor to the other. It is not clear if these implicit choices derive from the ignorance of alternatives or if they derive f...
1006.0991
Noam Shazeer
Georges Harik and Noam Shazeer
Variational Program Inference
null
null
null
HSL-000001
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a framework for representing a variety of interesting problems as inference over the execution of probabilistic model programs. We represent a "solution" to such a problem as a guide program which runs alongside the model program and influences the model program's random choices, leading the model progra...
[ { "created": "Fri, 4 Jun 2010 20:55:04 GMT", "version": "v1" } ]
2010-06-08
[ [ "Harik", "Georges", "" ], [ "Shazeer", "Noam", "" ] ]
We introduce a framework for representing a variety of interesting problems as inference over the execution of probabilistic model programs. We represent a "solution" to such a problem as a guide program which runs alongside the model program and influences the model program's random choices, leading the model program ...
1705.10706
Georgios Amanatidis
Georgios Amanatidis, Georgios Birmpas, George Christodoulou, Evangelos Markakis
Truthful Allocation Mechanisms Without Payments: Characterization and Implications on Fairness
To appear in the 18th ACM Conference on Economics and Computation (ACM EC '17)
null
10.1145/3033274.3085147
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the mechanism design problem of allocating a set of indivisible items without monetary transfers. Despite the vast literature on this very standard model, it still remains unclear how do truthful mechanisms look like. We focus on the case of two players with additive valuation functions and our purpose is tw...
[ { "created": "Tue, 30 May 2017 15:42:32 GMT", "version": "v1" } ]
2017-05-31
[ [ "Amanatidis", "Georgios", "" ], [ "Birmpas", "Georgios", "" ], [ "Christodoulou", "George", "" ], [ "Markakis", "Evangelos", "" ] ]
We study the mechanism design problem of allocating a set of indivisible items without monetary transfers. Despite the vast literature on this very standard model, it still remains unclear how do truthful mechanisms look like. We focus on the case of two players with additive valuation functions and our purpose is twof...
1902.09101
Jing Jiang
Jing Jiang, Xiaojing Wang, Guftaar Ahmad Sardar Sidhu, Li Zhen, Runchen Gao
Clustering-Based Codebook Design for MIMO Communication System
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Codebook design is one of the core technologies in limited feedback multi-input multi-output (MIMO) communication systems. However, the conventional codebook designs usually assume MIMO vectors are uniformly distributed or isotropic. Motivated by the excellent classfication and analysis ability of clustering algorith...
[ { "created": "Mon, 25 Feb 2019 06:14:42 GMT", "version": "v1" } ]
2019-02-26
[ [ "Jiang", "Jing", "" ], [ "Wang", "Xiaojing", "" ], [ "Sidhu", "Guftaar Ahmad Sardar", "" ], [ "Zhen", "Li", "" ], [ "Gao", "Runchen", "" ] ]
Codebook design is one of the core technologies in limited feedback multi-input multi-output (MIMO) communication systems. However, the conventional codebook designs usually assume MIMO vectors are uniformly distributed or isotropic. Motivated by the excellent classfication and analysis ability of clustering algorithms...
0711.4406
Pascal Vontobel
Parastoo Sadeghi, Pascal O. Vontobel, Ramtin Shams
Optimization of Information Rate Upper and Lower Bounds for Channels with Memory
Submitted to IEEE Transactions on Information Theory, November 24, 2007
null
10.1109/TIT.2008.2009581
null
cs.IT math.IT
null
We consider the problem of minimizing upper bounds and maximizing lower bounds on information rates of stationary and ergodic discrete-time channels with memory. The channels we consider can have a finite number of states, such as partial response channels, or they can have an infinite state-space, such as time-varyi...
[ { "created": "Wed, 28 Nov 2007 02:16:22 GMT", "version": "v1" } ]
2016-11-17
[ [ "Sadeghi", "Parastoo", "" ], [ "Vontobel", "Pascal O.", "" ], [ "Shams", "Ramtin", "" ] ]
We consider the problem of minimizing upper bounds and maximizing lower bounds on information rates of stationary and ergodic discrete-time channels with memory. The channels we consider can have a finite number of states, such as partial response channels, or they can have an infinite state-space, such as time-varying...
2104.13362
Arka Ray
Arka Ray
There is no APTAS for 2-dimensional vector bin packing: Revisited
10 pages; omitted proof can be found in the source; changes: improved presentation
Information Processing Letters 183C (2024) 106430
10.1016/j.ipl.2023.106430
null
cs.DS cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the Vector Bin Packing and the Vector Bin Covering problems, multidimensional generalizations of the Bin Packing and the Bin Covering problems, respectively. In the Vector Bin Packing, we are given a set of $d$-dimensional vectors from $[0,1]^d$ and the aim is to partition the set into the minimum number of ...
[ { "created": "Tue, 27 Apr 2021 17:43:33 GMT", "version": "v1" }, { "created": "Sat, 8 May 2021 18:35:21 GMT", "version": "v2" }, { "created": "Sat, 16 Oct 2021 13:37:22 GMT", "version": "v3" }, { "created": "Tue, 1 Aug 2023 05:07:08 GMT", "version": "v4" } ]
2023-08-02
[ [ "Ray", "Arka", "" ] ]
We study the Vector Bin Packing and the Vector Bin Covering problems, multidimensional generalizations of the Bin Packing and the Bin Covering problems, respectively. In the Vector Bin Packing, we are given a set of $d$-dimensional vectors from $[0,1]^d$ and the aim is to partition the set into the minimum number of bi...
1209.1076
Konstantinos Tsianos
Konstantinos I. Tsianos and Sean Lawlor and Michael G. Rabbat
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization
10 Pages, 3 Figures, Appearing at NIPS 2012
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the scalability of consensus-based distributed optimization algorithms by considering two questions: How many processors should we use for a given problem, and how often should they communicate when communication is not free? Central to our analysis is a problem-specific value $r$ which quantifies the commun...
[ { "created": "Wed, 5 Sep 2012 18:45:21 GMT", "version": "v1" } ]
2012-09-06
[ [ "Tsianos", "Konstantinos I.", "" ], [ "Lawlor", "Sean", "" ], [ "Rabbat", "Michael G.", "" ] ]
We study the scalability of consensus-based distributed optimization algorithms by considering two questions: How many processors should we use for a given problem, and how often should they communicate when communication is not free? Central to our analysis is a problem-specific value $r$ which quantifies the communic...
2004.00603
Andrea Celli
Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
null
null
null
null
cs.GT cs.AI cs.LG cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The existence of simple, uncoupled no-regret dynamics that converge to correlated equilibria in normal-form games is a celebrated result in the theory of multi-agent systems. Specifically, it has been known for more than 20 years that when all players seek to minimize their internal regret in a repeated normal-form g...
[ { "created": "Wed, 1 Apr 2020 17:39:00 GMT", "version": "v1" }, { "created": "Thu, 2 Apr 2020 08:54:26 GMT", "version": "v2" }, { "created": "Thu, 9 Apr 2020 16:00:40 GMT", "version": "v3" }, { "created": "Sat, 20 Jun 2020 09:32:36 GMT", "version": "v4" }, { "crea...
2022-09-05
[ [ "Celli", "Andrea", "" ], [ "Marchesi", "Alberto", "" ], [ "Farina", "Gabriele", "" ], [ "Gatti", "Nicola", "" ] ]
The existence of simple, uncoupled no-regret dynamics that converge to correlated equilibria in normal-form games is a celebrated result in the theory of multi-agent systems. Specifically, it has been known for more than 20 years that when all players seek to minimize their internal regret in a repeated normal-form gam...
1909.10801
Michael Poli
Michael Poli, Jinkyoo Park, Ilija Ilievski
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
Submitted to the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 20)
null
null
null
cs.LG q-fin.ST stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Finance is a particularly challenging application area for deep learning models due to low noise-to-signal ratio, non-stationarity, and partial observability. Non-deliverable-forwards (NDF), a derivatives contract used in foreign exchange (FX) trading, presents additional difficulty in the form of long-term planning ...
[ { "created": "Tue, 24 Sep 2019 10:42:23 GMT", "version": "v1" } ]
2019-09-25
[ [ "Poli", "Michael", "" ], [ "Park", "Jinkyoo", "" ], [ "Ilievski", "Ilija", "" ] ]
Finance is a particularly challenging application area for deep learning models due to low noise-to-signal ratio, non-stationarity, and partial observability. Non-deliverable-forwards (NDF), a derivatives contract used in foreign exchange (FX) trading, presents additional difficulty in the form of long-term planning re...
2210.04563
Qingyi Si
Qingyi Si, Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang and Jie Zhou
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning
Findings of EMNLP-2022
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Models for Visual Question Answering (VQA) often rely on the spurious correlations, i.e., the language priors, that appear in the biased samples of training set, which make them brittle against the out-of-distribution (OOD) test data. Recent methods have achieved promising progress in overcoming this problem by reduc...
[ { "created": "Mon, 10 Oct 2022 11:05:21 GMT", "version": "v1" } ]
2022-10-11
[ [ "Si", "Qingyi", "" ], [ "Liu", "Yuanxin", "" ], [ "Meng", "Fandong", "" ], [ "Lin", "Zheng", "" ], [ "Fu", "Peng", "" ], [ "Cao", "Yanan", "" ], [ "Wang", "Weiping", "" ], [ "Zhou", "Jie", "...
Models for Visual Question Answering (VQA) often rely on the spurious correlations, i.e., the language priors, that appear in the biased samples of training set, which make them brittle against the out-of-distribution (OOD) test data. Recent methods have achieved promising progress in overcoming this problem by reducin...
2306.04620
Julien Roy
Julien Roy, Pierre-Luc Bacon, Christopher Pal and Emmanuel Bengio
Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design
14 pages
null
null
null
cs.LG q-bio.BM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, in-silico molecular design has received much attention from the machine learning community. When designing a new compound for pharmaceutical applications, there are usually multiple properties of such molecules that need to be optimised: binding energy to the target, synthesizability, toxicity, EC50,...
[ { "created": "Wed, 7 Jun 2023 17:48:29 GMT", "version": "v1" }, { "created": "Thu, 29 Jun 2023 21:25:27 GMT", "version": "v2" } ]
2023-07-03
[ [ "Roy", "Julien", "" ], [ "Bacon", "Pierre-Luc", "" ], [ "Pal", "Christopher", "" ], [ "Bengio", "Emmanuel", "" ] ]
In recent years, in-silico molecular design has received much attention from the machine learning community. When designing a new compound for pharmaceutical applications, there are usually multiple properties of such molecules that need to be optimised: binding energy to the target, synthesizability, toxicity, EC50, a...
1001.2298
Gokul Sridharan Mr.
Gokul Sridharan and Teng Joon Lim
Turbo Receiver Design for Phase Noise Mitigation in OFDM Systems
17 pages; 1 figure. Shorter version of this paper was submitted to ISIT 2010
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper addresses the issue of phase noise in OFDM systems. Phase noise (PHN) is a transceiver impairment resulting from the non-idealities of the local oscillator. We present a case for designing a turbo receiver for systems corrupted by phase noise by taking a closer look at the effects of the common phase error...
[ { "created": "Wed, 13 Jan 2010 20:44:38 GMT", "version": "v1" } ]
2010-01-14
[ [ "Sridharan", "Gokul", "" ], [ "Lim", "Teng Joon", "" ] ]
This paper addresses the issue of phase noise in OFDM systems. Phase noise (PHN) is a transceiver impairment resulting from the non-idealities of the local oscillator. We present a case for designing a turbo receiver for systems corrupted by phase noise by taking a closer look at the effects of the common phase error (...
2105.06501
Thiago B. Burghi
Thiago B. Burghi, Juliano G. Iossaqui, Juan F. Camino
Kinematic control design for wheeled mobile robots with longitudinal and lateral slip
null
International Journal of Adaptive Control and Signal Processing, 2024; 1-27
10.1002/acs.3747
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The motion control of wheeled mobile robots at high speeds under adverse ground conditions is a difficult task, since the robots' wheels may be subject to different kinds of slip. This work introduces an adaptive kinematic controller that is capable of solving the trajectory tracking problem of a nonholonomic mobile ...
[ { "created": "Thu, 13 May 2021 18:25:48 GMT", "version": "v1" } ]
2024-02-19
[ [ "Burghi", "Thiago B.", "" ], [ "Iossaqui", "Juliano G.", "" ], [ "Camino", "Juan F.", "" ] ]
The motion control of wheeled mobile robots at high speeds under adverse ground conditions is a difficult task, since the robots' wheels may be subject to different kinds of slip. This work introduces an adaptive kinematic controller that is capable of solving the trajectory tracking problem of a nonholonomic mobile ro...
1503.08642
Sina Sanjari
S. Sanjari, S. Ozgoli
Generalized Integral Siding Mode Manifold Design: A Sum of Squares Approach
null
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a general form of integral sliding mode manifold, and proposes an algorithmic approach based on Sum of Squares (SOS) programming to design generalized integral sliding mode manifold and controller for nonlinear systems with both matched and unmatched uncertainties. The approach also gives a suffic...
[ { "created": "Mon, 30 Mar 2015 11:25:57 GMT", "version": "v1" }, { "created": "Thu, 21 May 2015 08:19:27 GMT", "version": "v2" } ]
2015-05-22
[ [ "Sanjari", "S.", "" ], [ "Ozgoli", "S.", "" ] ]
This paper presents a general form of integral sliding mode manifold, and proposes an algorithmic approach based on Sum of Squares (SOS) programming to design generalized integral sliding mode manifold and controller for nonlinear systems with both matched and unmatched uncertainties. The approach also gives a sufficie...
2402.00455
Lingsheng Meng
Lingsheng Meng, Yong Liang Guan, Yao Ge, Zilong Liu, Pingzhi Fan
Tighter Lower Bounds on Aperiodic Ambiguity Function and Their Asymptotic Achievability
25 pages, 2 figure
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents tighter lower bounds on the maximum aperiodic ambiguity function (AF) magnitude of unimodular sequences under certain delay-Doppler low ambiguity zones (LAZ). These bounds are derived by exploiting the upper and lower bounds on the Frobenius norm of the weighted auto- and cross-AF matrices, with t...
[ { "created": "Thu, 1 Feb 2024 09:45:11 GMT", "version": "v1" }, { "created": "Thu, 18 Jul 2024 15:25:17 GMT", "version": "v2" } ]
2024-07-19
[ [ "Meng", "Lingsheng", "" ], [ "Guan", "Yong Liang", "" ], [ "Ge", "Yao", "" ], [ "Liu", "Zilong", "" ], [ "Fan", "Pingzhi", "" ] ]
This paper presents tighter lower bounds on the maximum aperiodic ambiguity function (AF) magnitude of unimodular sequences under certain delay-Doppler low ambiguity zones (LAZ). These bounds are derived by exploiting the upper and lower bounds on the Frobenius norm of the weighted auto- and cross-AF matrices, with the...
0904.2441
Karsten Fyhn Nielsen
Rasmus Jacobsen, Karsten Fyhn Nielsen, Petar Popovski, Torben Larsen
Reliable Identification of RFID Tags Using Multiple Independent Reader Sessions
Presented at IEEE RFID 2009 Conference
null
10.1109/RFID.2009.4911187
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Radio Frequency Identification (RFID) systems are gaining momentum in various applications of logistics, inventory, etc. A generic problem in such systems is to ensure that the RFID readers can reliably read a set of RFID tags, such that the probability of missing tags stays below an acceptable value. A tag may be mi...
[ { "created": "Thu, 16 Apr 2009 07:33:40 GMT", "version": "v1" } ]
2016-11-18
[ [ "Jacobsen", "Rasmus", "" ], [ "Nielsen", "Karsten Fyhn", "" ], [ "Popovski", "Petar", "" ], [ "Larsen", "Torben", "" ] ]
Radio Frequency Identification (RFID) systems are gaining momentum in various applications of logistics, inventory, etc. A generic problem in such systems is to ensure that the RFID readers can reliably read a set of RFID tags, such that the probability of missing tags stays below an acceptable value. A tag may be miss...
1510.01553
Dan Xu
Dan Xu, Elisa Ricci, Yan Yan, Jingkuan Song, Nicu Sebe
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection
Oral paper in BMVC 2015
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel unsupervised deep learning framework for anomalous event detection in complex video scenes. While most existing works merely use hand-crafted appearance and motion features, we propose Appearance and Motion DeepNet (AMDN) which utilizes deep neural networks to automatically learn feature representa...
[ { "created": "Tue, 6 Oct 2015 12:42:55 GMT", "version": "v1" } ]
2015-10-07
[ [ "Xu", "Dan", "" ], [ "Ricci", "Elisa", "" ], [ "Yan", "Yan", "" ], [ "Song", "Jingkuan", "" ], [ "Sebe", "Nicu", "" ] ]
We present a novel unsupervised deep learning framework for anomalous event detection in complex video scenes. While most existing works merely use hand-crafted appearance and motion features, we propose Appearance and Motion DeepNet (AMDN) which utilizes deep neural networks to automatically learn feature representati...
1507.02199
Guy Grebla
Guy Grebla, Berk Birand, Peter van de Ven, Gil Zussman
Joint Transmission in Cellular Networks with CoMP - Stability and Scheduling Algorithms
31 pages, 11 figures, and 2 appendixes
null
null
null
cs.NI cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the current trend towards smaller cells, an increasing number of users of cellular networks reside at the edge between two cells; these users typically receive poor service as a result of the relatively weak signal and strong interference. Coordinated Multi-Point (CoMP) with Joint Transmission (JT) is a cellul...
[ { "created": "Wed, 8 Jul 2015 15:42:37 GMT", "version": "v1" }, { "created": "Sun, 26 Jul 2015 22:30:46 GMT", "version": "v2" } ]
2015-07-28
[ [ "Grebla", "Guy", "" ], [ "Birand", "Berk", "" ], [ "van de Ven", "Peter", "" ], [ "Zussman", "Gil", "" ] ]
Due to the current trend towards smaller cells, an increasing number of users of cellular networks reside at the edge between two cells; these users typically receive poor service as a result of the relatively weak signal and strong interference. Coordinated Multi-Point (CoMP) with Joint Transmission (JT) is a cellular...
2204.00097
Sijie Zhu
Sijie Zhu, Mubarak Shah, Chen Chen
TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization
CVPR
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The dominant CNN-based methods for cross-view image geo-localization rely on polar transform and fail to model global correlation. We propose a pure transformer-based approach (TransGeo) to address these limitations from a different perspective. TransGeo takes full advantage of the strengths of transformer related to...
[ { "created": "Thu, 31 Mar 2022 21:19:41 GMT", "version": "v1" } ]
2022-04-04
[ [ "Zhu", "Sijie", "" ], [ "Shah", "Mubarak", "" ], [ "Chen", "Chen", "" ] ]
The dominant CNN-based methods for cross-view image geo-localization rely on polar transform and fail to model global correlation. We propose a pure transformer-based approach (TransGeo) to address these limitations from a different perspective. TransGeo takes full advantage of the strengths of transformer related to g...
1501.03064
David Castells-Rufas
Francisco Corbera, Andr\'es Rodr\'iguez, Rafael Asenjo, Angeles Navarro, Antonio Vilches, Maria Garzaran, Ismat Chaib Draa, Jamel Tayeb, Smail Niar, Mikael Desertot, Daniel Gregorek, Robert Schmidt, Alberto Garcia-Ortiz, Pedro Lopez-Garcia, R\'emy Haemmerl\'e, Maximiliano Klemen, Umer Liqat, Manuel V. Hermenegi...
Proceedings of the Workshop on High Performance Energy Efficient Embedded Systems (HIP3ES) 2015
null
null
null
null
cs.DC
http://creativecommons.org/licenses/by/3.0/
Proceedings of the Workshop on High Performance Energy Efficient Embedded Systems (HIP3ES) 2015. Amsterdam, January 21st. Collocated with HIPEAC 2015 Conference.
[ { "created": "Tue, 13 Jan 2015 16:29:18 GMT", "version": "v1" } ]
2015-01-14
[ [ "Corbera", "Francisco", "" ], [ "Rodríguez", "Andrés", "" ], [ "Asenjo", "Rafael", "" ], [ "Navarro", "Angeles", "" ], [ "Vilches", "Antonio", "" ], [ "Garzaran", "Maria", "" ], [ "Draa", "Ismat Chaib", "" ...
Proceedings of the Workshop on High Performance Energy Efficient Embedded Systems (HIP3ES) 2015. Amsterdam, January 21st. Collocated with HIPEAC 2015 Conference.
2005.07532
Ripon Patgiri
Sabuzima Nayak and Ripon Patgiri
6G Communication Technology: A Vision on Intelligent Healthcare
This manuscript is submitted to IEEE for possible publication
null
10.1007/978-981-15-9735-0_1
null
cs.NI cs.CY
http://creativecommons.org/licenses/by/4.0/
6G is a promising communication technology that will dominate the entire health market from 2030 onward. It will dominate not only health sector but also diverse sectors. It is expected that 6G will revolutionize many sectors including healthcare. Healthcare will be fully AI-driven and dependent on 6G communication t...
[ { "created": "Thu, 16 Apr 2020 06:53:05 GMT", "version": "v1" } ]
2021-05-07
[ [ "Nayak", "Sabuzima", "" ], [ "Patgiri", "Ripon", "" ] ]
6G is a promising communication technology that will dominate the entire health market from 2030 onward. It will dominate not only health sector but also diverse sectors. It is expected that 6G will revolutionize many sectors including healthcare. Healthcare will be fully AI-driven and dependent on 6G communication tec...
2006.15212
Prateek Gupta
Prateek Gupta, Maxime Gasse, Elias B. Khalil, M. Pawan Kumar, Andrea Lodi, Yoshua Bengio
Hybrid Models for Learning to Branch
34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A recent Graph Neural Network (GNN) approach for learning to branch has been shown to successfully reduce the running time of branch-and-bound algorithms for Mixed Integer Linear Programming (MILP). While the GNN relies on a GPU for inference, MILP solvers are purely CPU-based. This severely limits its application as...
[ { "created": "Fri, 26 Jun 2020 21:03:45 GMT", "version": "v1" }, { "created": "Tue, 20 Oct 2020 16:28:54 GMT", "version": "v2" }, { "created": "Fri, 23 Oct 2020 14:01:14 GMT", "version": "v3" } ]
2020-10-26
[ [ "Gupta", "Prateek", "" ], [ "Gasse", "Maxime", "" ], [ "Khalil", "Elias B.", "" ], [ "Kumar", "M. Pawan", "" ], [ "Lodi", "Andrea", "" ], [ "Bengio", "Yoshua", "" ] ]
A recent Graph Neural Network (GNN) approach for learning to branch has been shown to successfully reduce the running time of branch-and-bound algorithms for Mixed Integer Linear Programming (MILP). While the GNN relies on a GPU for inference, MILP solvers are purely CPU-based. This severely limits its application as m...
0805.0850
Michael Hilker
Michael Hilker and Christoph Schommer
Service Oriented Architecture in Network Security - a novel Organisation in Security Systems
4 pages
Proceedings of the 3rd International Workshop on Theory of Computer Viruses (TCV 2008), May 2008, Nancy, France
null
null
cs.CR cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current network security systems are a collection of various security components, which are directly installed in the operating system. These check the whole node for suspicious behaviour. Armouring intrusions e.g. have the ability to hide themselves from being checked. We present in this paper an alternative organis...
[ { "created": "Wed, 7 May 2008 14:13:32 GMT", "version": "v1" } ]
2008-05-08
[ [ "Hilker", "Michael", "" ], [ "Schommer", "Christoph", "" ] ]
Current network security systems are a collection of various security components, which are directly installed in the operating system. These check the whole node for suspicious behaviour. Armouring intrusions e.g. have the ability to hide themselves from being checked. We present in this paper an alternative organisat...
1908.06874
Michael Rapp
Yannik Klein, Michael Rapp and Eneldo Loza Menc\'ia
Efficient Discovery of Expressive Multi-label Rules using Relaxed Pruning
Preprint version. To appear in Proceedings of the 22nd International Conference on Discovery Science, 2019
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Being able to model correlations between labels is considered crucial in multi-label classification. Rule-based models enable to expose such dependencies, e.g., implications, subsumptions, or exclusions, in an interpretable and human-comprehensible manner. Albeit the number of possible label combinations increases ex...
[ { "created": "Mon, 19 Aug 2019 15:22:23 GMT", "version": "v1" } ]
2019-08-20
[ [ "Klein", "Yannik", "" ], [ "Rapp", "Michael", "" ], [ "Mencía", "Eneldo Loza", "" ] ]
Being able to model correlations between labels is considered crucial in multi-label classification. Rule-based models enable to expose such dependencies, e.g., implications, subsumptions, or exclusions, in an interpretable and human-comprehensible manner. Albeit the number of possible label combinations increases expo...
2312.00041
Prosenjit Chatterjee
Justin Spencer, Deborah Lawrence, Prosenjit Chatterjee, Kaushik Roy, Albert Esterline, and Jung-Hee Kim
Presentation Attack Detection using Convolutional Neural Networks and Local Binary Patterns
null
null
null
null
cs.CR cs.CV cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
The use of biometrics to authenticate users and control access to secure areas has become extremely popular in recent years, and biometric access control systems are frequently used by both governments and private corporations. However, these systems may represent risks to security when deployed without considering t...
[ { "created": "Thu, 23 Nov 2023 20:57:07 GMT", "version": "v1" } ]
2023-12-04
[ [ "Spencer", "Justin", "" ], [ "Lawrence", "Deborah", "" ], [ "Chatterjee", "Prosenjit", "" ], [ "Roy", "Kaushik", "" ], [ "Esterline", "Albert", "" ], [ "Kim", "Jung-Hee", "" ] ]
The use of biometrics to authenticate users and control access to secure areas has become extremely popular in recent years, and biometric access control systems are frequently used by both governments and private corporations. However, these systems may represent risks to security when deployed without considering the...
2111.02603
Kanishka Misra
Kanishka Misra
On Semantic Cognition, Inductive Generalization, and Language Models
Accepted at AAAI 2022 Doctoral Consortium
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
My doctoral research focuses on understanding semantic knowledge in neural network models trained solely to predict natural language (referred to as language models, or LMs), by drawing on insights from the study of concepts and categories grounded in cognitive science. I propose a framework inspired by 'inductive re...
[ { "created": "Thu, 4 Nov 2021 03:19:52 GMT", "version": "v1" } ]
2021-11-05
[ [ "Misra", "Kanishka", "" ] ]
My doctoral research focuses on understanding semantic knowledge in neural network models trained solely to predict natural language (referred to as language models, or LMs), by drawing on insights from the study of concepts and categories grounded in cognitive science. I propose a framework inspired by 'inductive reas...
2006.11693
Teng Wang
Teng Wang, Huicheng Zheng, Mingjing Yu
Dense-Captioning Events in Videos: SYSU Submission to ActivityNet Challenge 2020
Second-place solution to TASK 2 (Dense video captioning) in ActivityNet Challenge 2020. Code is available at https://github.com/ttengwang/dense-video-captioning-pytorch
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This technical report presents a brief description of our submission to the dense video captioning task of ActivityNet Challenge 2020. Our approach follows a two-stage pipeline: first, we extract a set of temporal event proposals; then we propose a multi-event captioning model to capture the event-level temporal rela...
[ { "created": "Sun, 21 Jun 2020 02:38:59 GMT", "version": "v1" }, { "created": "Wed, 12 Aug 2020 03:44:21 GMT", "version": "v2" } ]
2020-08-13
[ [ "Wang", "Teng", "" ], [ "Zheng", "Huicheng", "" ], [ "Yu", "Mingjing", "" ] ]
This technical report presents a brief description of our submission to the dense video captioning task of ActivityNet Challenge 2020. Our approach follows a two-stage pipeline: first, we extract a set of temporal event proposals; then we propose a multi-event captioning model to capture the event-level temporal relati...
2209.11069
Milica Petkovic
Milica Petkovic, Dejan Vukobratovi\'c, Andrea Munari, Federico Clazzer
Relay-aided Slotted Aloha for Optical Wireless Communications
Published in: 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
null
10.1109/CSNDSP49049.2020.9249592
null
cs.NI cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a relay-aided Slotted ALOHA solution for uplink random access for an Optical Wireless Communications (OWC)-based Internet of Things (IoT). The first phase of uplink, the one between IoT devices and the relays, is realized using indoor OWC, while the second phase, between the relays and a base station, rep...
[ { "created": "Thu, 22 Sep 2022 15:00:32 GMT", "version": "v1" } ]
2022-09-23
[ [ "Petkovic", "Milica", "" ], [ "Vukobratović", "Dejan", "" ], [ "Munari", "Andrea", "" ], [ "Clazzer", "Federico", "" ] ]
We consider a relay-aided Slotted ALOHA solution for uplink random access for an Optical Wireless Communications (OWC)-based Internet of Things (IoT). The first phase of uplink, the one between IoT devices and the relays, is realized using indoor OWC, while the second phase, between the relays and a base station, repre...
2405.02008
Peijin Jia
Peijin Jia, Tuopu Wen, Ziang Luo, Mengmeng Yang, Kun Jiang, Zhiquan Lei, Xuewei Tang, Ziyuan Liu, Le Cui, Kehua Sheng, Bo Zhang, Diange Yang
DiffMap: Enhancing Map Segmentation with Map Prior Using Diffusion Model
null
null
null
null
cs.CV
http://creativecommons.org/publicdomain/zero/1.0/
Constructing high-definition (HD) maps is a crucial requirement for enabling autonomous driving. In recent years, several map segmentation algorithms have been developed to address this need, leveraging advancements in Bird's-Eye View (BEV) perception. However, existing models still encounter challenges in producing ...
[ { "created": "Fri, 3 May 2024 11:16:27 GMT", "version": "v1" } ]
2024-05-06
[ [ "Jia", "Peijin", "" ], [ "Wen", "Tuopu", "" ], [ "Luo", "Ziang", "" ], [ "Yang", "Mengmeng", "" ], [ "Jiang", "Kun", "" ], [ "Lei", "Zhiquan", "" ], [ "Tang", "Xuewei", "" ], [ "Liu", "Ziyuan", ...
Constructing high-definition (HD) maps is a crucial requirement for enabling autonomous driving. In recent years, several map segmentation algorithms have been developed to address this need, leveraging advancements in Bird's-Eye View (BEV) perception. However, existing models still encounter challenges in producing re...
2212.14814
R\'emi Pellerin
Christophe Crespelle, R\'emi Pellerin, St\'ephan Thomass\'e
A quasi-quadratic vertex Kernel for Cograph edge editing
null
null
null
null
cs.DS cs.CC
http://creativecommons.org/licenses/by-nc-sa/4.0/
We provide a $O(k^2 \mathrm{log} k)$ vertex kernel for cograph edge editing. This improves a cubic kernel found by Guillemot, Havet, Paul and Perez [1] which involved four reduction rules. We generalize one of their rules, based on packing of induced paths of length four, by introducing t-modules, which are modules u...
[ { "created": "Fri, 30 Dec 2022 16:23:27 GMT", "version": "v1" } ]
2023-01-02
[ [ "Crespelle", "Christophe", "" ], [ "Pellerin", "Rémi", "" ], [ "Thomassé", "Stéphan", "" ] ]
We provide a $O(k^2 \mathrm{log} k)$ vertex kernel for cograph edge editing. This improves a cubic kernel found by Guillemot, Havet, Paul and Perez [1] which involved four reduction rules. We generalize one of their rules, based on packing of induced paths of length four, by introducing t-modules, which are modules up ...
2111.12796
Dongha Lee
Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu
Out-of-Category Document Identification Using Target-Category Names as Weak Supervision
ICDM 2021. 10 pages, 4 figures
null
null
null
cs.IR cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Identifying outlier documents, whose content is different from the majority of the documents in a corpus, has played an important role to manage a large text collection. However, due to the absence of explicit information about the inlier (or target) distribution, existing unsupervised outlier detectors are likely to...
[ { "created": "Wed, 24 Nov 2021 21:01:25 GMT", "version": "v1" } ]
2021-11-29
[ [ "Lee", "Dongha", "" ], [ "Hyun", "Dongmin", "" ], [ "Han", "Jiawei", "" ], [ "Yu", "Hwanjo", "" ] ]
Identifying outlier documents, whose content is different from the majority of the documents in a corpus, has played an important role to manage a large text collection. However, due to the absence of explicit information about the inlier (or target) distribution, existing unsupervised outlier detectors are likely to m...
1701.08481
C.-C. Jay Kuo
C.-C. Jay Kuo
CNN as Guided Multi-layer RECOS Transform
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There is a resurging interest in developing a neural-network-based solution to the supervised machine learning problem. The convolutional neural network (CNN) will be studied in this note. To begin with, we introduce a RECOS transform as a basic building block of CNNs. The "RECOS" is an acronym for "REctified-COrrela...
[ { "created": "Mon, 30 Jan 2017 04:39:36 GMT", "version": "v1" }, { "created": "Thu, 16 Feb 2017 07:41:27 GMT", "version": "v2" }, { "created": "Sun, 19 Feb 2017 07:42:24 GMT", "version": "v3" } ]
2017-02-21
[ [ "Kuo", "C. -C. Jay", "" ] ]
There is a resurging interest in developing a neural-network-based solution to the supervised machine learning problem. The convolutional neural network (CNN) will be studied in this note. To begin with, we introduce a RECOS transform as a basic building block of CNNs. The "RECOS" is an acronym for "REctified-COrrelati...
2402.08284
Takanori Ugai
Takanori Ugai, Yusuke Koyanagi, Fumihito Nishino
A Logical Approach to Criminal Case Investigation
11 pages, 11 figures
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
XAI (eXplanable AI) techniques that have the property of explaining the reasons for their conclusions, i.e. explainability or interpretability, are attracting attention. XAI is expected to be used in the development of forensic science and the justice system. In today's forensic and criminal investigation environment...
[ { "created": "Tue, 13 Feb 2024 08:24:32 GMT", "version": "v1" } ]
2024-02-14
[ [ "Ugai", "Takanori", "" ], [ "Koyanagi", "Yusuke", "" ], [ "Nishino", "Fumihito", "" ] ]
XAI (eXplanable AI) techniques that have the property of explaining the reasons for their conclusions, i.e. explainability or interpretability, are attracting attention. XAI is expected to be used in the development of forensic science and the justice system. In today's forensic and criminal investigation environment, ...
2311.13489
Arun Narayanan
Arun Narayanan, Evangelos Pournaras, Pedro H. J. Nardelli
Large-scale Package Deliveries with Unmanned Aerial Vehicles using Collective Learning
null
null
null
null
cs.MA
http://creativecommons.org/licenses/by/4.0/
Unmanned aerial vehicles (UAVs) have significant practical advantages for delivering packages, and many logistics companies have begun deploying UAVs for commercial package deliveries. To deliver packages quickly and cost-effectively, the routes taken by UAVs from depots to customers must be optimized. This route opt...
[ { "created": "Wed, 22 Nov 2023 16:04:39 GMT", "version": "v1" } ]
2023-11-23
[ [ "Narayanan", "Arun", "" ], [ "Pournaras", "Evangelos", "" ], [ "Nardelli", "Pedro H. J.", "" ] ]
Unmanned aerial vehicles (UAVs) have significant practical advantages for delivering packages, and many logistics companies have begun deploying UAVs for commercial package deliveries. To deliver packages quickly and cost-effectively, the routes taken by UAVs from depots to customers must be optimized. This route optim...
1901.02693
Yuncheng Du
Jeongeun Son, Yuncheng Du
Model-based Stochastic Fault Detection and Diagnosis for Lithium-ion Batteries
null
Processes, 2019
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Lithium-ion battery (Li-ion) is becoming the dominant energy storage solution in many applications such as hybrid electric and electric vehicles, due to its higher energy density and longer life cycle. For these applications, the battery should perform reliably and pose no safety threats. However, the performance of ...
[ { "created": "Wed, 9 Jan 2019 12:29:07 GMT", "version": "v1" } ]
2019-01-10
[ [ "Son", "Jeongeun", "" ], [ "Du", "Yuncheng", "" ] ]
Lithium-ion battery (Li-ion) is becoming the dominant energy storage solution in many applications such as hybrid electric and electric vehicles, due to its higher energy density and longer life cycle. For these applications, the battery should perform reliably and pose no safety threats. However, the performance of Li...
1701.07482
Alessandro Vittorio Papadopoulos
Alessandro Vittorio Papadopoulos, Federico Terraneo, Alberto Leva, Maria Prandini
Switched control for quantized feedback systems: invariance and limit cycle analysis
12 pages, 14 figures
null
10.1109/TAC.2018.2797246
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study feedback control for discrete-time linear time-invariant systems in the presence of quantization both in the control action and in the measurement of the controlled variable. While in some application the quantization effects can be neglected, when high-precision control is needed, they have to be explicitly...
[ { "created": "Wed, 25 Jan 2017 20:43:02 GMT", "version": "v1" }, { "created": "Mon, 12 Jun 2017 14:42:31 GMT", "version": "v2" } ]
2020-05-12
[ [ "Papadopoulos", "Alessandro Vittorio", "" ], [ "Terraneo", "Federico", "" ], [ "Leva", "Alberto", "" ], [ "Prandini", "Maria", "" ] ]
We study feedback control for discrete-time linear time-invariant systems in the presence of quantization both in the control action and in the measurement of the controlled variable. While in some application the quantization effects can be neglected, when high-precision control is needed, they have to be explicitly a...
1807.03865
Caleb Stanford
Rajeev Alur, Dana Fisman, Konstantinos Mamouras, Mukund Raghothaman, Caleb Stanford
Streamable Regular Transductions
53 pages
null
null
null
cs.FL cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motivated by real-time monitoring and data processing applications, we develop a formal theory of quantitative queries for streaming data that can be evaluated efficiently. We consider the model of unambiguous Cost Register Automata (CRAs), which are machines that combine finite-state control (for identifying regular...
[ { "created": "Tue, 10 Jul 2018 21:11:24 GMT", "version": "v1" }, { "created": "Sun, 3 Nov 2019 21:13:50 GMT", "version": "v2" } ]
2019-11-05
[ [ "Alur", "Rajeev", "" ], [ "Fisman", "Dana", "" ], [ "Mamouras", "Konstantinos", "" ], [ "Raghothaman", "Mukund", "" ], [ "Stanford", "Caleb", "" ] ]
Motivated by real-time monitoring and data processing applications, we develop a formal theory of quantitative queries for streaming data that can be evaluated efficiently. We consider the model of unambiguous Cost Register Automata (CRAs), which are machines that combine finite-state control (for identifying regular p...
1108.0333
Gabriele Oliva
Stefano Panzieri, Gabriele Oliva and Roberto Setola
Fuzzy Consensus and Synchronization: Theory and Application to Critical Infrastructure Protection Problems
Sidra Automatica.it 2011 Conference, 7-9 September 2011, Pisa, Italy. in Automatica
null
null
null
cs.SY cs.MA math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper the Distributed Consensus and Synchronization problems with fuzzy-valued initial conditions are introduced, in order to obtain a shared estimation of the state of a system based on partial and distributed observations, in the case where such a state is affected by ambiguity and/or vagueness. The Discret...
[ { "created": "Mon, 1 Aug 2011 15:06:40 GMT", "version": "v1" }, { "created": "Sun, 14 Aug 2011 17:26:23 GMT", "version": "v2" }, { "created": "Tue, 27 Dec 2011 14:06:34 GMT", "version": "v3" } ]
2015-03-19
[ [ "Panzieri", "Stefano", "" ], [ "Oliva", "Gabriele", "" ], [ "Setola", "Roberto", "" ] ]
In this paper the Distributed Consensus and Synchronization problems with fuzzy-valued initial conditions are introduced, in order to obtain a shared estimation of the state of a system based on partial and distributed observations, in the case where such a state is affected by ambiguity and/or vagueness. The Discrete-...
2302.10088
Sandy Manolios
Sandy Manolios, Catholijn M. Jonker, Cynthia C.S. Liem
Registered Report : Perception of Other's Musical Preferences Based on Their Personal Values
11 Pages, 3 Figures
null
null
null
cs.MM
http://creativecommons.org/licenses/by/4.0/
The present work is part of a research line seeking to uncover the mysteries of what lies behind people's musical preferences in order to provide better music recommendations. More specifically, it takes the angle of personal values. Personal values are what we as people strive for, and are a popular tool in marketin...
[ { "created": "Mon, 20 Feb 2023 16:49:27 GMT", "version": "v1" } ]
2023-02-21
[ [ "Manolios", "Sandy", "" ], [ "Jonker", "Catholijn M.", "" ], [ "Liem", "Cynthia C. S.", "" ] ]
The present work is part of a research line seeking to uncover the mysteries of what lies behind people's musical preferences in order to provide better music recommendations. More specifically, it takes the angle of personal values. Personal values are what we as people strive for, and are a popular tool in marketing ...
2405.13018
Ahmed Attia
Ahmed Adel Attia, Dorottya Demszky, Tolulope Ogunremi, Jing Liu, Carol Espy-Wilson
Continued Pretraining for Domain Adaptation of Wav2vec2.0 in Automatic Speech Recognition for Elementary Math Classroom Settings
null
null
null
null
cs.CL cs.AI eess.AS
http://creativecommons.org/licenses/by/4.0/
Creating Automatic Speech Recognition (ASR) systems that are robust and resilient to classroom conditions is paramount to the development of AI tools to aid teachers and students. In this work, we study the efficacy of continued pretraining (CPT) in adapting Wav2vec2.0 to the classroom domain. We show that CPT is a p...
[ { "created": "Wed, 15 May 2024 06:59:33 GMT", "version": "v1" } ]
2024-05-24
[ [ "Attia", "Ahmed Adel", "" ], [ "Demszky", "Dorottya", "" ], [ "Ogunremi", "Tolulope", "" ], [ "Liu", "Jing", "" ], [ "Espy-Wilson", "Carol", "" ] ]
Creating Automatic Speech Recognition (ASR) systems that are robust and resilient to classroom conditions is paramount to the development of AI tools to aid teachers and students. In this work, we study the efficacy of continued pretraining (CPT) in adapting Wav2vec2.0 to the classroom domain. We show that CPT is a pow...
1806.00525
Huda Alamri
Huda Alamri, Vincent Cartillier, Raphael Gontijo Lopes, Abhishek Das, Jue Wang, Irfan Essa, Dhruv Batra, Devi Parikh, Anoop Cherian, Tim K. Marks, Chiori Hori
Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7
null
null
null
null
cs.CL cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scene-aware dialog systems will be able to have conversations with users about the objects and events around them. Progress on such systems can be made by integrating state-of-the-art technologies from multiple research areas including end-to-end dialog systems visual dialog, and video description. We introduce the A...
[ { "created": "Fri, 1 Jun 2018 19:51:58 GMT", "version": "v1" } ]
2018-06-05
[ [ "Alamri", "Huda", "" ], [ "Cartillier", "Vincent", "" ], [ "Lopes", "Raphael Gontijo", "" ], [ "Das", "Abhishek", "" ], [ "Wang", "Jue", "" ], [ "Essa", "Irfan", "" ], [ "Batra", "Dhruv", "" ], [ "P...
Scene-aware dialog systems will be able to have conversations with users about the objects and events around them. Progress on such systems can be made by integrating state-of-the-art technologies from multiple research areas including end-to-end dialog systems visual dialog, and video description. We introduce the Aud...
2310.17075
Sudarshan Babu
Sudarshan Babu, Richard Liu, Avery Zhou, Michael Maire, Greg Shakhnarovich, Rana Hanocka
HyperFields: Towards Zero-Shot Generation of NeRFs from Text
Accepted to ICML 2024, Project page: https://threedle.github.io/hyperfields/
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
We introduce HyperFields, a method for generating text-conditioned Neural Radiance Fields (NeRFs) with a single forward pass and (optionally) some fine-tuning. Key to our approach are: (i) a dynamic hypernetwork, which learns a smooth mapping from text token embeddings to the space of NeRFs; (ii) NeRF distillation tr...
[ { "created": "Thu, 26 Oct 2023 00:36:03 GMT", "version": "v1" }, { "created": "Fri, 27 Oct 2023 14:35:04 GMT", "version": "v2" }, { "created": "Thu, 13 Jun 2024 17:59:14 GMT", "version": "v3" } ]
2024-06-14
[ [ "Babu", "Sudarshan", "" ], [ "Liu", "Richard", "" ], [ "Zhou", "Avery", "" ], [ "Maire", "Michael", "" ], [ "Shakhnarovich", "Greg", "" ], [ "Hanocka", "Rana", "" ] ]
We introduce HyperFields, a method for generating text-conditioned Neural Radiance Fields (NeRFs) with a single forward pass and (optionally) some fine-tuning. Key to our approach are: (i) a dynamic hypernetwork, which learns a smooth mapping from text token embeddings to the space of NeRFs; (ii) NeRF distillation trai...
1302.6570
Jianwei Xie
Jianwei Xie, Sennur Ulukus
Secure Degrees of Freedom of the Gaussian Wiretap Channel with Helpers and No Eavesdropper CSI: Blind Cooperative Jamming
To appear in the CISS 2013
null
null
null
cs.IT cs.CR math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the Gaussian wiretap channel with M helpers, where no eavesdropper channel state information (CSI) is available at the legitimate entities. The exact secure d.o.f. of the Gaussian wiretap channel with M helpers with perfect CSI at the transmitters was found in [1], [2] to be M/(M+1). One of the key ingred...
[ { "created": "Tue, 26 Feb 2013 20:35:12 GMT", "version": "v1" } ]
2013-02-27
[ [ "Xie", "Jianwei", "" ], [ "Ulukus", "Sennur", "" ] ]
We consider the Gaussian wiretap channel with M helpers, where no eavesdropper channel state information (CSI) is available at the legitimate entities. The exact secure d.o.f. of the Gaussian wiretap channel with M helpers with perfect CSI at the transmitters was found in [1], [2] to be M/(M+1). One of the key ingredie...
2402.16886
Rishabh Goel
Rishabh Goel
Using text embedding models and vector databases as text classifiers with the example of medical data
11 pages, 8 figures, All robustness tests are in a linked pdf
null
null
null
cs.IR cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
The advent of Large Language Models (LLMs) is promising and has found application in numerous fields, but as it often is with the medical field, the bar is typically quite high [5]. In tandem with LLMs, vector embedding models and vector databases provide a robust way of expressing numerous modes of data that are eas...
[ { "created": "Wed, 7 Feb 2024 22:15:15 GMT", "version": "v1" } ]
2024-02-28
[ [ "Goel", "Rishabh", "" ] ]
The advent of Large Language Models (LLMs) is promising and has found application in numerous fields, but as it often is with the medical field, the bar is typically quite high [5]. In tandem with LLMs, vector embedding models and vector databases provide a robust way of expressing numerous modes of data that are easil...
2103.12011
Jonathan Herzig
Jonathan Herzig, Thomas M\"uller, Syrine Krichene, Julian Martin Eisenschlos
Open Domain Question Answering over Tables via Dense Retrieval
NAACL 2021 camera ready
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in open-domain QA have led to strong models based on dense retrieval, but only focused on retrieving textual passages. In this work, we tackle open-domain QA over tables for the first time, and show that retrieval can be improved by a retriever designed to handle tabular context. We present an effecti...
[ { "created": "Mon, 22 Mar 2021 17:01:04 GMT", "version": "v1" }, { "created": "Wed, 9 Jun 2021 09:39:24 GMT", "version": "v2" } ]
2021-06-10
[ [ "Herzig", "Jonathan", "" ], [ "Müller", "Thomas", "" ], [ "Krichene", "Syrine", "" ], [ "Eisenschlos", "Julian Martin", "" ] ]
Recent advances in open-domain QA have led to strong models based on dense retrieval, but only focused on retrieving textual passages. In this work, we tackle open-domain QA over tables for the first time, and show that retrieval can be improved by a retriever designed to handle tabular context. We present an effective...
2404.10575
Chung-Yiu Yau
Chung-Yiu Yau, Hoi-To Wai, Parameswaran Raman, Soumajyoti Sarkar, Mingyi Hong
EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence
20 pages
null
null
null
cs.LG cs.AI cs.CV math.OC
http://creativecommons.org/licenses/by/4.0/
A key challenge in contrastive learning is to generate negative samples from a large sample set to contrast with positive samples, for learning better encoding of the data. These negative samples often follow a softmax distribution which are dynamically updated during the training process. However, sampling from this...
[ { "created": "Tue, 16 Apr 2024 13:53:58 GMT", "version": "v1" } ]
2024-04-17
[ [ "Yau", "Chung-Yiu", "" ], [ "Wai", "Hoi-To", "" ], [ "Raman", "Parameswaran", "" ], [ "Sarkar", "Soumajyoti", "" ], [ "Hong", "Mingyi", "" ] ]
A key challenge in contrastive learning is to generate negative samples from a large sample set to contrast with positive samples, for learning better encoding of the data. These negative samples often follow a softmax distribution which are dynamically updated during the training process. However, sampling from this d...
1312.4071
Srinjoy Ganguly Mr.
Srinjoy Ganguly, Arpita Chakraborty and Mrinal Kanti Naskar
A Trust-based Framework for Congestion-aware Energy Efficient Routing in Wireless Multimedia Sensor Networks
5 pages, 3 figures and 0 tables. Poster Paper at the Student Research Symposium of the International Conference on High Performance Computing (HiPC), 2013
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A new era in wireless sensor network technology has been ushered in through the introduction of multimedia sensor networks, which has a major bottleneck in the form of network congestion. Congestion occurs when resources are in high demand during the active period while the data processing and transmission speeds lag...
[ { "created": "Sat, 14 Dec 2013 17:49:43 GMT", "version": "v1" } ]
2013-12-17
[ [ "Ganguly", "Srinjoy", "" ], [ "Chakraborty", "Arpita", "" ], [ "Naskar", "Mrinal Kanti", "" ] ]
A new era in wireless sensor network technology has been ushered in through the introduction of multimedia sensor networks, which has a major bottleneck in the form of network congestion. Congestion occurs when resources are in high demand during the active period while the data processing and transmission speeds lag b...
1807.10726
Bowen Zhang
Bowen Zhang, Xifan Zhang, Fan Cheng, Deli Zhao
Few Shot Learning with Simplex
There is still room for model improvement
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep learning has made remarkable achievement in many fields. However, learning the parameters of neural networks usually demands a large amount of labeled data. The algorithms of deep learning, therefore, encounter difficulties when applied to supervised learning where only little data are available. This specific t...
[ { "created": "Fri, 27 Jul 2018 16:52:57 GMT", "version": "v1" }, { "created": "Tue, 30 Oct 2018 00:59:36 GMT", "version": "v2" } ]
2018-10-31
[ [ "Zhang", "Bowen", "" ], [ "Zhang", "Xifan", "" ], [ "Cheng", "Fan", "" ], [ "Zhao", "Deli", "" ] ]
Deep learning has made remarkable achievement in many fields. However, learning the parameters of neural networks usually demands a large amount of labeled data. The algorithms of deep learning, therefore, encounter difficulties when applied to supervised learning where only little data are available. This specific tas...
1211.4290
Wojciech Golab
Muntasir Raihan Rahman, Wojciech Golab, Alvin AuYoung, Kimberly Keeton, Jay J. Wylie
Toward a Principled Framework for Benchmarking Consistency
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large-scale key-value storage systems sacrifice consistency in the interest of dependability (i.e., partition tolerance and availability), as well as performance (i.e., latency). Such systems provide eventual consistency,which---to this point---has been difficult to quantify in real systems. Given the many implementa...
[ { "created": "Mon, 19 Nov 2012 02:59:53 GMT", "version": "v1" }, { "created": "Tue, 20 Nov 2012 02:25:27 GMT", "version": "v2" } ]
2012-11-21
[ [ "Rahman", "Muntasir Raihan", "" ], [ "Golab", "Wojciech", "" ], [ "AuYoung", "Alvin", "" ], [ "Keeton", "Kimberly", "" ], [ "Wylie", "Jay J.", "" ] ]
Large-scale key-value storage systems sacrifice consistency in the interest of dependability (i.e., partition tolerance and availability), as well as performance (i.e., latency). Such systems provide eventual consistency,which---to this point---has been difficult to quantify in real systems. Given the many implementati...
1109.5420
Lei Zhou
Lei Zhou and Wei Yu
Incremental Relaying for the Gaussian Interference Channel with a Degraded Broadcasting Relay
To appear in IEEE Trans. on Inf. Theory
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/3.0/
This paper studies incremental relay strategies for a two-user Gaussian relay-interference channel with an in-band-reception and out-of-band-transmission relay, where the link between the relay and the two receivers is modelled as a degraded broadcast channel. It is shown that generalized hash-and-forward (GHF) can a...
[ { "created": "Mon, 26 Sep 2011 00:21:47 GMT", "version": "v1" }, { "created": "Mon, 7 Nov 2011 23:30:36 GMT", "version": "v2" }, { "created": "Wed, 15 Aug 2012 04:34:32 GMT", "version": "v3" }, { "created": "Wed, 12 Dec 2012 07:33:56 GMT", "version": "v4" } ]
2012-12-13
[ [ "Zhou", "Lei", "" ], [ "Yu", "Wei", "" ] ]
This paper studies incremental relay strategies for a two-user Gaussian relay-interference channel with an in-band-reception and out-of-band-transmission relay, where the link between the relay and the two receivers is modelled as a degraded broadcast channel. It is shown that generalized hash-and-forward (GHF) can ach...
1907.05284
Mhafuzul Islam
Mhafuzul Islam, Mizanur Rahman, Mashrur Chowdhury, Gurcan Comert, Eshaa Deepak Sood, Amy Apon
Vision-based Pedestrian Alert Safety System (PASS) for Signalized Intersections
23 pages, 8 figures
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although Vehicle-to-Pedestrian (V2P) communication can significantly improve pedestrian safety at a signalized intersection, this safety is hindered as pedestrians often do not carry hand-held devices (e.g., Dedicated short-range communication (DSRC) and 5G enabled cell phone) to communicate with connected vehicles n...
[ { "created": "Tue, 2 Jul 2019 02:17:55 GMT", "version": "v1" } ]
2019-07-12
[ [ "Islam", "Mhafuzul", "" ], [ "Rahman", "Mizanur", "" ], [ "Chowdhury", "Mashrur", "" ], [ "Comert", "Gurcan", "" ], [ "Sood", "Eshaa Deepak", "" ], [ "Apon", "Amy", "" ] ]
Although Vehicle-to-Pedestrian (V2P) communication can significantly improve pedestrian safety at a signalized intersection, this safety is hindered as pedestrians often do not carry hand-held devices (e.g., Dedicated short-range communication (DSRC) and 5G enabled cell phone) to communicate with connected vehicles nea...
1410.4477
Amir Rastegarnia
Azam Khalili, Wael M. Bazzi, Amir Rastegarnia
Analysis of incremental augmented affine projection algorithm for distributed estimation of complex signals
23 pages, 6 figures
null
null
null
cs.DC cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers the problem of distributed estimation in an incremental network when the measurements taken by the node follow a widely linear model. The proposed algorithm which we refer to it as incremental augmented affine projection algorithm (incAAPA) utilizes the full second order statistical information i...
[ { "created": "Thu, 16 Oct 2014 16:03:22 GMT", "version": "v1" }, { "created": "Thu, 18 Dec 2014 12:57:13 GMT", "version": "v2" } ]
2014-12-19
[ [ "Khalili", "Azam", "" ], [ "Bazzi", "Wael M.", "" ], [ "Rastegarnia", "Amir", "" ] ]
This paper considers the problem of distributed estimation in an incremental network when the measurements taken by the node follow a widely linear model. The proposed algorithm which we refer to it as incremental augmented affine projection algorithm (incAAPA) utilizes the full second order statistical information in ...
2010.06097
Feihu Huang
Feihu Huang, Shangqian Gao
Gradient Descent Ascent for Minimax Problems on Riemannian Manifolds
This paper was accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence
null
null
null
cs.LG cs.CV math.OC
http://creativecommons.org/licenses/by-nc-sa/4.0/
In the paper, we study a class of useful minimax problems on Riemanian manifolds and propose a class of effective Riemanian gradient-based methods to solve these minimax problems. Specifically, we propose an effective Riemannian gradient descent ascent (RGDA) algorithm for the deterministic minimax optimization. More...
[ { "created": "Tue, 13 Oct 2020 00:54:00 GMT", "version": "v1" }, { "created": "Tue, 24 Nov 2020 03:43:15 GMT", "version": "v2" }, { "created": "Wed, 17 Mar 2021 15:09:46 GMT", "version": "v3" }, { "created": "Mon, 25 Apr 2022 21:33:03 GMT", "version": "v4" }, { "c...
2023-01-04
[ [ "Huang", "Feihu", "" ], [ "Gao", "Shangqian", "" ] ]
In the paper, we study a class of useful minimax problems on Riemanian manifolds and propose a class of effective Riemanian gradient-based methods to solve these minimax problems. Specifically, we propose an effective Riemannian gradient descent ascent (RGDA) algorithm for the deterministic minimax optimization. Moreov...
2407.18827
Mutahar Safdar
Mutahar Safdar, Jiarui Xie, Andrei Mircea and Yaoyao Fiona Zhao
Human-artificial intelligence teaming for scientific information extraction from data-driven additive manufacturing research using large language models
11 pages, 5 Figures, 3 Tables. This paper has been accepted to be published in the proceedings of IDETC-CIE 2024
null
null
null
cs.IR cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Data-driven research in Additive Manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature to emerge. The knowledge in these works consists of AM and Artificial Intelligence (AI) contexts that have not been mined and formalized in an integrated way. It requ...
[ { "created": "Fri, 26 Jul 2024 15:43:52 GMT", "version": "v1" } ]
2024-07-29
[ [ "Safdar", "Mutahar", "" ], [ "Xie", "Jiarui", "" ], [ "Mircea", "Andrei", "" ], [ "Zhao", "Yaoyao Fiona", "" ] ]
Data-driven research in Additive Manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature to emerge. The knowledge in these works consists of AM and Artificial Intelligence (AI) contexts that have not been mined and formalized in an integrated way. It requir...
2311.05884
Huan Gui
Huan Gui, Ruoxi Wang, Ke Yin, Long Jin, Maciej Kula, Taibai Xu, Lichan Hong, Ed H. Chi
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems
null
null
null
null
cs.IR cs.LG
http://creativecommons.org/licenses/by/4.0/
Learning feature interaction is the critical backbone to building recommender systems. In web-scale applications, learning feature interaction is extremely challenging due to the sparse and large input feature space; meanwhile, manually crafting effective feature interactions is infeasible because of the exponential ...
[ { "created": "Fri, 10 Nov 2023 05:57:57 GMT", "version": "v1" } ]
2023-11-13
[ [ "Gui", "Huan", "" ], [ "Wang", "Ruoxi", "" ], [ "Yin", "Ke", "" ], [ "Jin", "Long", "" ], [ "Kula", "Maciej", "" ], [ "Xu", "Taibai", "" ], [ "Hong", "Lichan", "" ], [ "Chi", "Ed H.", "" ]...
Learning feature interaction is the critical backbone to building recommender systems. In web-scale applications, learning feature interaction is extremely challenging due to the sparse and large input feature space; meanwhile, manually crafting effective feature interactions is infeasible because of the exponential so...
2308.06644
Junwei Huang
Junwei Huang, Zhiqing Sun, Yiming Yang
Accelerating Diffusion-based Combinatorial Optimization Solvers by Progressive Distillation
Published at ICML 2023, Sampling and Optimization in Discrete Space Workshop. The implementation is at https://github.com/jwrh/Accelerating-Diffusion-based-Combinatorial-Optimization-Solvers-by-Progressive-Distillation
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Graph-based diffusion models have shown promising results in terms of generating high-quality solutions to NP-complete (NPC) combinatorial optimization (CO) problems. However, those models are often inefficient in inference, due to the iterative evaluation nature of the denoising diffusion process. This paper propose...
[ { "created": "Sat, 12 Aug 2023 21:25:24 GMT", "version": "v1" }, { "created": "Tue, 22 Aug 2023 22:25:54 GMT", "version": "v2" } ]
2023-08-24
[ [ "Huang", "Junwei", "" ], [ "Sun", "Zhiqing", "" ], [ "Yang", "Yiming", "" ] ]
Graph-based diffusion models have shown promising results in terms of generating high-quality solutions to NP-complete (NPC) combinatorial optimization (CO) problems. However, those models are often inefficient in inference, due to the iterative evaluation nature of the denoising diffusion process. This paper proposes ...
2011.01793
Yijie Zhou
Yijie Zhou, Yan Zhang, Xusheng Luo, Michael M. Zavlanos
Human-in-the-Loop Robot Planning with Non-Contextual Bandit Feedback
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider a robot navigation problem in environments populated by humans. The goal is to determine collision-free and dynamically feasible trajectories that also maximize human satisfaction. This is because they may drive the robot close to humans that need help with their work or because they may ke...
[ { "created": "Tue, 3 Nov 2020 15:38:41 GMT", "version": "v1" } ]
2020-11-04
[ [ "Zhou", "Yijie", "" ], [ "Zhang", "Yan", "" ], [ "Luo", "Xusheng", "" ], [ "Zavlanos", "Michael M.", "" ] ]
In this paper, we consider a robot navigation problem in environments populated by humans. The goal is to determine collision-free and dynamically feasible trajectories that also maximize human satisfaction. This is because they may drive the robot close to humans that need help with their work or because they may keep...
2407.05605
Zhenchun Lei
Zhenchun Lei, Hui Yan, Changhong Liu, Minglei Ma, Yingen Yang
Two-Path GMM-ResNet and GMM-SENet for ASV Spoofing Detection
null
null
10.1109/ICASSP43922.2022.9746163
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The automatic speaker verification system is sometimes vulnerable to various spoofing attacks. The 2-class Gaussian Mixture Model classifier for genuine and spoofed speech is usually used as the baseline for spoofing detection. However, the GMM classifier does not separately consider the scores of feature frames on e...
[ { "created": "Mon, 8 Jul 2024 04:42:36 GMT", "version": "v1" } ]
2024-07-09
[ [ "Lei", "Zhenchun", "" ], [ "Yan", "Hui", "" ], [ "Liu", "Changhong", "" ], [ "Ma", "Minglei", "" ], [ "Yang", "Yingen", "" ] ]
The automatic speaker verification system is sometimes vulnerable to various spoofing attacks. The 2-class Gaussian Mixture Model classifier for genuine and spoofed speech is usually used as the baseline for spoofing detection. However, the GMM classifier does not separately consider the scores of feature frames on eac...
2305.08293
Weizhi Zhong
Weizhi Zhong, Chaowei Fang, Yinqi Cai, Pengxu Wei, Gangming Zhao, Liang Lin, Guanbin Li
Identity-Preserving Talking Face Generation with Landmark and Appearance Priors
CVPR2023, Code: https://github.com/Weizhi-Zhong/IP_LAP
null
null
null
cs.CV cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generating talking face videos from audio attracts lots of research interest. A few person-specific methods can generate vivid videos but require the target speaker's videos for training or fine-tuning. Existing person-generic methods have difficulty in generating realistic and lip-synced videos while preserving iden...
[ { "created": "Mon, 15 May 2023 01:31:32 GMT", "version": "v1" } ]
2023-05-16
[ [ "Zhong", "Weizhi", "" ], [ "Fang", "Chaowei", "" ], [ "Cai", "Yinqi", "" ], [ "Wei", "Pengxu", "" ], [ "Zhao", "Gangming", "" ], [ "Lin", "Liang", "" ], [ "Li", "Guanbin", "" ] ]
Generating talking face videos from audio attracts lots of research interest. A few person-specific methods can generate vivid videos but require the target speaker's videos for training or fine-tuning. Existing person-generic methods have difficulty in generating realistic and lip-synced videos while preserving identi...
2311.04108
Nils Japke
Nils Japke, Christoph Witzko, Martin Grambow, David Bermbach
The Early Microbenchmark Catches the Bug -- Studying Performance Issues Using Micro- and Application Benchmarks
Accepted for publication in 2023 IEEE/ACM 16th International Conference on Utility and Cloud Computing
null
10.1145/3603166.3632128
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An application's performance regressions can be detected by both application or microbenchmarks. While application benchmarks stress the system under test by sending synthetic but realistic requests which, e.g., simulate real user traffic, microbenchmarks evaluate the performance on a subroutine level by calling the ...
[ { "created": "Tue, 7 Nov 2023 16:30:38 GMT", "version": "v1" } ]
2023-11-08
[ [ "Japke", "Nils", "" ], [ "Witzko", "Christoph", "" ], [ "Grambow", "Martin", "" ], [ "Bermbach", "David", "" ] ]
An application's performance regressions can be detected by both application or microbenchmarks. While application benchmarks stress the system under test by sending synthetic but realistic requests which, e.g., simulate real user traffic, microbenchmarks evaluate the performance on a subroutine level by calling the fu...
2103.06371
Himanshu Sahni
Himanshu Sahni and Charles Isbell
Hard Attention Control By Mutual Information Maximization
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Biological agents have adopted the principle of attention to limit the rate of incoming information from the environment. One question that arises is if an artificial agent has access to only a limited view of its surroundings, how can it control its attention to effectively solve tasks? We propose an approach for le...
[ { "created": "Wed, 10 Mar 2021 22:38:28 GMT", "version": "v1" } ]
2021-03-12
[ [ "Sahni", "Himanshu", "" ], [ "Isbell", "Charles", "" ] ]
Biological agents have adopted the principle of attention to limit the rate of incoming information from the environment. One question that arises is if an artificial agent has access to only a limited view of its surroundings, how can it control its attention to effectively solve tasks? We propose an approach for lear...
0910.0819
Rdv Ijcsis
Md. Ashraful Islam, Riaz Uddin Mondal, Md. Zahid Hasan
Performance Evaluation of Wimax Physical Layer under Adaptive Modulation Techniques and Communication Channels
4 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS 2009, ISSN 1947 5500, Impact Factor 0.423, http://sites.google.com/site/ijcsis/
International Journal of Computer Science and Information Security, IJCSIS, Vol. 5, No. 1, pp. 111-114, September 2009, USA
null
ISSn 1947 5500
cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Wimax (Worldwide Interoperability for Microwave Access) is a promising technology which can offer high speed voice, video and data service up to the customer end. The aim of this paper is the performance evaluation of an Wimax system under different combinations of digital modulation (BPSK, QPSK, 4 QAM and 16 QAM) an...
[ { "created": "Mon, 5 Oct 2009 18:30:05 GMT", "version": "v1" } ]
2009-10-06
[ [ "Islam", "Md. Ashraful", "" ], [ "Mondal", "Riaz Uddin", "" ], [ "Hasan", "Md. Zahid", "" ] ]
Wimax (Worldwide Interoperability for Microwave Access) is a promising technology which can offer high speed voice, video and data service up to the customer end. The aim of this paper is the performance evaluation of an Wimax system under different combinations of digital modulation (BPSK, QPSK, 4 QAM and 16 QAM) and ...
1710.05298
Hyemin Ahn
Hyemin Ahn, Timothy Ha, Yunho Choi, Hwiyeon Yoo, and Songhwai Oh
Text2Action: Generative Adversarial Synthesis from Language to Action
8 pages, 10 figures
null
null
null
cs.LG cs.CL cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a generative model which learns the relationship between language and human action in order to generate a human action sequence given a sentence describing human behavior. The proposed generative model is a generative adversarial network (GAN), which is based on the sequence to sequence (SEQ...
[ { "created": "Sun, 15 Oct 2017 07:51:01 GMT", "version": "v1" }, { "created": "Tue, 24 Oct 2017 06:32:52 GMT", "version": "v2" } ]
2017-10-25
[ [ "Ahn", "Hyemin", "" ], [ "Ha", "Timothy", "" ], [ "Choi", "Yunho", "" ], [ "Yoo", "Hwiyeon", "" ], [ "Oh", "Songhwai", "" ] ]
In this paper, we propose a generative model which learns the relationship between language and human action in order to generate a human action sequence given a sentence describing human behavior. The proposed generative model is a generative adversarial network (GAN), which is based on the sequence to sequence (SEQ2S...
1209.0127
Alexandra Faynburd Mrs
Ran El-Yaniv, Alexandra Faynburd
Autoregressive short-term prediction of turning points using support vector regression
null
null
null
null
cs.LG cs.CE cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work is concerned with autoregressive prediction of turning points in financial price sequences. Such turning points are critical local extrema points along a series, which mark the start of new swings. Predicting the future time of such turning points or even their early or late identification slightly before o...
[ { "created": "Sat, 1 Sep 2012 19:53:23 GMT", "version": "v1" }, { "created": "Mon, 24 Sep 2012 19:28:24 GMT", "version": "v2" } ]
2012-09-25
[ [ "El-Yaniv", "Ran", "" ], [ "Faynburd", "Alexandra", "" ] ]
This work is concerned with autoregressive prediction of turning points in financial price sequences. Such turning points are critical local extrema points along a series, which mark the start of new swings. Predicting the future time of such turning points or even their early or late identification slightly before or ...
2308.06271
Owen Melia
Owen Melia, Eric Jonas, and Rebecca Willett
Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds
null
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rotational invariance is a popular inductive bias used by many fields in machine learning, such as computer vision and machine learning for quantum chemistry. Rotation-invariant machine learning methods set the state of the art for many tasks, including molecular property prediction and 3D shape classification. These...
[ { "created": "Thu, 27 Jul 2023 20:18:11 GMT", "version": "v1" } ]
2023-08-15
[ [ "Melia", "Owen", "" ], [ "Jonas", "Eric", "" ], [ "Willett", "Rebecca", "" ] ]
Rotational invariance is a popular inductive bias used by many fields in machine learning, such as computer vision and machine learning for quantum chemistry. Rotation-invariant machine learning methods set the state of the art for many tasks, including molecular property prediction and 3D shape classification. These m...
2012.12733
Cunhua Pan
Gui Zhou, Cunhua Pan, Hong Ren, Kezhi Wang, Zhangjie Peng
Secure Wireless Communication in RIS-Aided MISO Systems with Hardware Impairments
Accepted by IEEE Wireless Communications Letters. Keywords: reconfigurable intelligent surface (RIS), intelligent reflecting surface, hardware impairments, physical layer security
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by/4.0/
In practice, residual transceiver hardware impairments inevitably lead to distortion noise which causes the performance loss. In this paper, we study the robust transmission design for a reconfigurable intelligent surface (RIS)-aided secure communication system in the presence of transceiver hardware impairments. We ...
[ { "created": "Wed, 23 Dec 2020 15:13:44 GMT", "version": "v1" }, { "created": "Thu, 24 Dec 2020 02:12:25 GMT", "version": "v2" }, { "created": "Mon, 8 Mar 2021 02:43:31 GMT", "version": "v3" } ]
2021-03-09
[ [ "Zhou", "Gui", "" ], [ "Pan", "Cunhua", "" ], [ "Ren", "Hong", "" ], [ "Wang", "Kezhi", "" ], [ "Peng", "Zhangjie", "" ] ]
In practice, residual transceiver hardware impairments inevitably lead to distortion noise which causes the performance loss. In this paper, we study the robust transmission design for a reconfigurable intelligent surface (RIS)-aided secure communication system in the presence of transceiver hardware impairments. We ai...
1807.03750
Yehia Elkhatib PhD
Yehia Elkhatib
Navigating Diverse Data Science Learning: Critical Reflections Towards Future Practice
null
4th Workshop on Curricula and Teaching Methods in Cloud Computing, Big Data, and Data Science, 2017
10.1109/CloudCom.2017.58
null
cs.GL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data Science is currently a popular field of science attracting expertise from very diverse backgrounds. Current learning practices need to acknowledge this and adapt to it. This paper summarises some experiences relating to such learning approaches from teaching a postgraduate Data Science module, and draws some lea...
[ { "created": "Thu, 5 Jul 2018 21:32:18 GMT", "version": "v1" } ]
2018-07-11
[ [ "Elkhatib", "Yehia", "" ] ]
Data Science is currently a popular field of science attracting expertise from very diverse backgrounds. Current learning practices need to acknowledge this and adapt to it. This paper summarises some experiences relating to such learning approaches from teaching a postgraduate Data Science module, and draws some learn...
2310.16956
Ayah Ahmad
Ayah Ahmad (1), Christopher Graziul (2), Margaret Beale Spencer (2) ((1) University of California, Berkeley, (2) University of Chicago)
Datastore Design for Analysis of Police Broadcast Audio at Scale
null
null
null
null
cs.CY cs.DB
http://creativecommons.org/licenses/by/4.0/
With policing coming under greater scrutiny in recent years, researchers have begun to more thoroughly study the effects of contact between police and minority communities. Despite data archives of hundreds of thousands of recorded Broadcast Police Communications (BPC) being openly available to the public, a closer l...
[ { "created": "Wed, 25 Oct 2023 19:52:19 GMT", "version": "v1" } ]
2023-10-27
[ [ "Ahmad", "Ayah", "", "University of California, Berkeley" ], [ "Graziul", "Christopher", "", "University of Chicago" ], [ "Spencer", "Margaret Beale", "", "University of Chicago" ] ]
With policing coming under greater scrutiny in recent years, researchers have begun to more thoroughly study the effects of contact between police and minority communities. Despite data archives of hundreds of thousands of recorded Broadcast Police Communications (BPC) being openly available to the public, a closer loo...
2304.08809
Yi Li
Yi Li, Kyle Min, Subarna Tripathi, Nuno Vasconcelos
SViTT: Temporal Learning of Sparse Video-Text Transformers
CVPR 2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Do video-text transformers learn to model temporal relationships across frames? Despite their immense capacity and the abundance of multimodal training data, recent work has revealed the strong tendency of video-text models towards frame-based spatial representations, while temporal reasoning remains largely unsolved...
[ { "created": "Tue, 18 Apr 2023 08:17:58 GMT", "version": "v1" } ]
2023-04-19
[ [ "Li", "Yi", "" ], [ "Min", "Kyle", "" ], [ "Tripathi", "Subarna", "" ], [ "Vasconcelos", "Nuno", "" ] ]
Do video-text transformers learn to model temporal relationships across frames? Despite their immense capacity and the abundance of multimodal training data, recent work has revealed the strong tendency of video-text models towards frame-based spatial representations, while temporal reasoning remains largely unsolved. ...
1909.03691
Jan Krajicek
Jan Krajicek
The Cook-Reckhow definition
null
in: "Logic, Automata, and Computational Complexity: The Works of Stephen A. Cook", ed.Bruce M.Kapron, Association for Computing Machinery Books, New York, NY, USA, 43, pp.83-94, May 2023
10.1145/3588287.3588
null
cs.CC math.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Cook-Reckhow 1979 paper defined the area of research we now call Proof Complexity. There were earlier papers which contributed to the subject as we understand it today, the most significant being Tseitin's 1968 paper, but none of them introduced general notions that would allow to make an explicit and universal l...
[ { "created": "Mon, 9 Sep 2019 08:01:27 GMT", "version": "v1" } ]
2023-05-31
[ [ "Krajicek", "Jan", "" ] ]
The Cook-Reckhow 1979 paper defined the area of research we now call Proof Complexity. There were earlier papers which contributed to the subject as we understand it today, the most significant being Tseitin's 1968 paper, but none of them introduced general notions that would allow to make an explicit and universal lin...
cs/0207068
Konstantin Korovin
Konstantin Korovin and Andrei Voronkov
Knuth-Bendix constraint solving is NP-complete
27 pages
null
null
null
cs.LO
null
We show the NP-completeness of the existential theory of term algebras with the Knuth-Bendix order by giving a nondeterministic polynomial-time algorithm for solving Knuth-Bendix ordering constraints.
[ { "created": "Wed, 17 Jul 2002 18:34:45 GMT", "version": "v1" } ]
2007-05-23
[ [ "Korovin", "Konstantin", "" ], [ "Voronkov", "Andrei", "" ] ]
We show the NP-completeness of the existential theory of term algebras with the Knuth-Bendix order by giving a nondeterministic polynomial-time algorithm for solving Knuth-Bendix ordering constraints.
2010.12577
Hansjoerg Albrecher
Hansjoerg Albrecher and Pierre-Olivier Goffard
On the profitability of selfish blockchain mining under consideration of ruin
null
null
null
null
cs.CR math.OC math.PR q-fin.RM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mining blocks on a blockchain equipped with a proof of work consensus protocol is well-known to be resource-consuming. A miner bears the operational cost, mainly electricity consumption and IT gear, of mining, and is compensated by a capital gain when a block is discovered. This paper aims at quantifying the profitab...
[ { "created": "Sat, 24 Oct 2020 15:21:45 GMT", "version": "v1" } ]
2020-10-27
[ [ "Albrecher", "Hansjoerg", "" ], [ "Goffard", "Pierre-Olivier", "" ] ]
Mining blocks on a blockchain equipped with a proof of work consensus protocol is well-known to be resource-consuming. A miner bears the operational cost, mainly electricity consumption and IT gear, of mining, and is compensated by a capital gain when a block is discovered. This paper aims at quantifying the profitabil...
2004.14004
Chenglei Si
Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang
Benchmarking Robustness of Machine Reading Comprehension Models
ACL 2021 (Findings)
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Machine Reading Comprehension (MRC) is an important testbed for evaluating models' natural language understanding (NLU) ability. There has been rapid progress in this area, with new models achieving impressive performance on various benchmarks. However, existing benchmarks only evaluate models on in-domain test sets ...
[ { "created": "Wed, 29 Apr 2020 08:05:32 GMT", "version": "v1" }, { "created": "Wed, 26 May 2021 06:16:19 GMT", "version": "v2" } ]
2021-05-27
[ [ "Si", "Chenglei", "" ], [ "Yang", "Ziqing", "" ], [ "Cui", "Yiming", "" ], [ "Ma", "Wentao", "" ], [ "Liu", "Ting", "" ], [ "Wang", "Shijin", "" ] ]
Machine Reading Comprehension (MRC) is an important testbed for evaluating models' natural language understanding (NLU) ability. There has been rapid progress in this area, with new models achieving impressive performance on various benchmarks. However, existing benchmarks only evaluate models on in-domain test sets wi...
1811.10146
Zhiqin Xu
Zhi-Qin John Xu
Frequency Principle in Deep Learning with General Loss Functions and Its Potential Application
8 pages, 4 figures
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Previous studies have shown that deep neural networks (DNNs) with common settings often capture target functions from low to high frequency, which is called Frequency Principle (F-Principle). It has also been shown that F-Principle can provide an understanding to the often observed good generalization ability of DNNs...
[ { "created": "Mon, 26 Nov 2018 02:27:44 GMT", "version": "v1" } ]
2018-11-27
[ [ "Xu", "Zhi-Qin John", "" ] ]
Previous studies have shown that deep neural networks (DNNs) with common settings often capture target functions from low to high frequency, which is called Frequency Principle (F-Principle). It has also been shown that F-Principle can provide an understanding to the often observed good generalization ability of DNNs. ...
1401.7444
Yossi Gilad
Yossi Gilad, Amir Herzberg, Ari Trachtenberg
Securing Smartphones: A Micro-TCB Approach
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As mobile phones have evolved into `smartphones', with complex operating systems running third- party software, they have become increasingly vulnerable to malicious applications (malware). We introduce a new design for mitigating malware attacks against smartphone users, based on a small trusted computing base modul...
[ { "created": "Wed, 29 Jan 2014 09:20:53 GMT", "version": "v1" } ]
2014-01-30
[ [ "Gilad", "Yossi", "" ], [ "Herzberg", "Amir", "" ], [ "Trachtenberg", "Ari", "" ] ]
As mobile phones have evolved into `smartphones', with complex operating systems running third- party software, they have become increasingly vulnerable to malicious applications (malware). We introduce a new design for mitigating malware attacks against smartphone users, based on a small trusted computing base module,...
cs/0611158
Francoise Detienne
Michael Baker, Fran\c{c}oise D\'etienne (INRIA), Kristine Lundt, Arnauld S\'ejourn\'e
Articulation entre \'{e}laboration de solutions et argumentation polyphonique
null
Dans EPIQUE'2003 (2003)
null
null
cs.HC
null
In this paper, we propose an analytical framework that aims to bring out the nature of participants' contributions to co-design meetings, in a way that synthesises content and function dimensions, together with the dimension of dialogicality. We term the resulting global vision of contribution, the "interactive profi...
[ { "created": "Thu, 30 Nov 2006 13:28:29 GMT", "version": "v1" }, { "created": "Fri, 2 Feb 2007 08:10:20 GMT", "version": "v2" } ]
2016-08-16
[ [ "Baker", "Michael", "", "INRIA" ], [ "Détienne", "Françoise", "", "INRIA" ], [ "Lundt", "Kristine", "" ], [ "Séjourné", "Arnauld", "" ] ]
In this paper, we propose an analytical framework that aims to bring out the nature of participants' contributions to co-design meetings, in a way that synthesises content and function dimensions, together with the dimension of dialogicality. We term the resulting global vision of contribution, the "interactive profile...
2404.01110
Tong Hui
Tong Hui, Stefan Rucareanu, Esteban Zamora, Simone D'Angelo, Haotian Liu, Matteo Fumagalli
A Novel Center-of-Mass Displacing Aerial Manipulation Platform: Design, Modeling, and Control
This paper is under submission to IEEE Robotics and Auotmation Letter
null
null
null
cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by-nc-nd/4.0/
Aerial manipulators can serve contact-based industrial applications, where fundamental tasks like drilling and grinding often necessitate aerial platforms to handle heavy tools and high loads (i.e., forces and torques). These tasks are frequently performed on non-horizontal surfaces. Current multirotor platforms, whi...
[ { "created": "Mon, 1 Apr 2024 13:33:53 GMT", "version": "v1" }, { "created": "Wed, 17 Jul 2024 11:20:06 GMT", "version": "v2" } ]
2024-07-18
[ [ "Hui", "Tong", "" ], [ "Rucareanu", "Stefan", "" ], [ "Zamora", "Esteban", "" ], [ "D'Angelo", "Simone", "" ], [ "Liu", "Haotian", "" ], [ "Fumagalli", "Matteo", "" ] ]
Aerial manipulators can serve contact-based industrial applications, where fundamental tasks like drilling and grinding often necessitate aerial platforms to handle heavy tools and high loads (i.e., forces and torques). These tasks are frequently performed on non-horizontal surfaces. Current multirotor platforms, which...
1807.02257
Edgar Margffoy-Tuay
Edgar Margffoy-Tuay, Juan C. P\'erez, Emilio Botero, Pablo Arbel\'aez
Dynamic Multimodal Instance Segmentation guided by natural language queries
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
We address the problem of segmenting an object given a natural language expression that describes it. Current techniques tackle this task by either (\textit{i}) directly or recursively merging linguistic and visual information in the channel dimension and then performing convolutions; or by (\textit{ii}) mapping the ...
[ { "created": "Fri, 6 Jul 2018 05:21:06 GMT", "version": "v1" }, { "created": "Sun, 22 Jul 2018 22:31:18 GMT", "version": "v2" } ]
2018-07-24
[ [ "Margffoy-Tuay", "Edgar", "" ], [ "Pérez", "Juan C.", "" ], [ "Botero", "Emilio", "" ], [ "Arbeláez", "Pablo", "" ] ]
We address the problem of segmenting an object given a natural language expression that describes it. Current techniques tackle this task by either (\textit{i}) directly or recursively merging linguistic and visual information in the channel dimension and then performing convolutions; or by (\textit{ii}) mapping the ex...
1611.02174
Yiyi Liao
Yiyi Liao, Lichao Huang, Yue Wang, Sarath Kodagoda, Yinan Yu, Yong Liu
Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation
null
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many standard robotic platforms are equipped with at least a fixed 2D laser range finder and a monocular camera. Although those platforms do not have sensors for 3D depth sensing capability, knowledge of depth is an essential part in many robotics activities. Therefore, recently, there is an increasing interest in de...
[ { "created": "Mon, 17 Oct 2016 21:12:07 GMT", "version": "v1" } ]
2016-11-08
[ [ "Liao", "Yiyi", "" ], [ "Huang", "Lichao", "" ], [ "Wang", "Yue", "" ], [ "Kodagoda", "Sarath", "" ], [ "Yu", "Yinan", "" ], [ "Liu", "Yong", "" ] ]
Many standard robotic platforms are equipped with at least a fixed 2D laser range finder and a monocular camera. Although those platforms do not have sensors for 3D depth sensing capability, knowledge of depth is an essential part in many robotics activities. Therefore, recently, there is an increasing interest in dept...
2006.02585
Victor Sanches Portella
Huang Fang, Nicholas J. A. Harvey, Victor S. Portella, Michael P. Friedlander
Online mirror descent and dual averaging: keeping pace in the dynamic case
27 pages main text, 37 pages in total, 1 figure. Version 2: Revision for camera-ready version of ICML 2020, with a new abstract, new discussion and acknowledgements sections, and some other minor modifications. Version 3: Technical report version of JMLR submission, with minor revisions, full proofs, and more d...
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Online mirror descent (OMD) and dual averaging (DA) -- two fundamental algorithms for online convex optimization -- are known to have very similar (and sometimes identical) performance guarantees when used with a fixed learning rate. Under dynamic learning rates, however, OMD is provably inferior to DA and suffers a ...
[ { "created": "Wed, 3 Jun 2020 23:41:40 GMT", "version": "v1" }, { "created": "Sat, 4 Jul 2020 03:49:36 GMT", "version": "v2" }, { "created": "Fri, 3 Sep 2021 23:23:53 GMT", "version": "v3" } ]
2021-09-07
[ [ "Fang", "Huang", "" ], [ "Harvey", "Nicholas J. A.", "" ], [ "Portella", "Victor S.", "" ], [ "Friedlander", "Michael P.", "" ] ]
Online mirror descent (OMD) and dual averaging (DA) -- two fundamental algorithms for online convex optimization -- are known to have very similar (and sometimes identical) performance guarantees when used with a fixed learning rate. Under dynamic learning rates, however, OMD is provably inferior to DA and suffers a li...
1905.06650
Rui-Xiao Zhang
Rui-Xiao Zhang, Tianchi Huang, Chenglei Wu, Lifeng Sun
Reactive Video Caching via long-short-term fusion approach
6 pages, 5 figures
null
null
null
cs.MM cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Video caching has been a basic network functionality in today's network architectures. Although the abundance of caching replacement algorithms has been proposed recently, these methods all suffer from a key limitation: due to their immature rules, inaccurate feature engineering or unresponsive model update, they can...
[ { "created": "Thu, 16 May 2019 10:45:06 GMT", "version": "v1" } ]
2019-05-17
[ [ "Zhang", "Rui-Xiao", "" ], [ "Huang", "Tianchi", "" ], [ "Wu", "Chenglei", "" ], [ "Sun", "Lifeng", "" ] ]
Video caching has been a basic network functionality in today's network architectures. Although the abundance of caching replacement algorithms has been proposed recently, these methods all suffer from a key limitation: due to their immature rules, inaccurate feature engineering or unresponsive model update, they canno...
1808.08376
Antoine Genitrini
Olivier Bodini and Antoine Genitrini and Mehdi Naima
Ranked Schr\"oder Trees
null
null
null
null
cs.DS math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In biology, a phylogenetic tree is a tool to represent the evolutionary relationship between species. Unfortunately, the classical Schr\"oder tree model is not adapted to take into account the chronology between the branching nodes. In particular, it does not answer the question: how many different phylogenetic stori...
[ { "created": "Sat, 25 Aug 2018 08:31:51 GMT", "version": "v1" }, { "created": "Sun, 23 Dec 2018 12:07:22 GMT", "version": "v2" }, { "created": "Mon, 31 Dec 2018 20:58:16 GMT", "version": "v3" }, { "created": "Sat, 5 Jan 2019 22:02:11 GMT", "version": "v4" }, { "cr...
2019-01-15
[ [ "Bodini", "Olivier", "" ], [ "Genitrini", "Antoine", "" ], [ "Naima", "Mehdi", "" ] ]
In biology, a phylogenetic tree is a tool to represent the evolutionary relationship between species. Unfortunately, the classical Schr\"oder tree model is not adapted to take into account the chronology between the branching nodes. In particular, it does not answer the question: how many different phylogenetic stories...
2306.15562
Josep Lluis Berral
Gonzalo Gomez-Sanchez, Aaron Call, Xavier Teruel, Lorena Alonso, Ignasi Moran, Miguel Angel Perez, David Torrents, Josep Ll. Berral
Challenges and Opportunities for RISC-V Architectures towards Genomics-based Workloads
null
Presented at the ISC High-Performance Computing 2023
null
null
cs.DC
http://creativecommons.org/licenses/by-nc-nd/4.0/
The use of large-scale supercomputing architectures is a hard requirement for scientific computing Big-Data applications. An example is genomics analytics, where millions of data transformations and tests per patient need to be done to find relevant clinical indicators. Therefore, to ensure open and broad access to h...
[ { "created": "Tue, 27 Jun 2023 15:37:36 GMT", "version": "v1" } ]
2023-06-28
[ [ "Gomez-Sanchez", "Gonzalo", "" ], [ "Call", "Aaron", "" ], [ "Teruel", "Xavier", "" ], [ "Alonso", "Lorena", "" ], [ "Moran", "Ignasi", "" ], [ "Perez", "Miguel Angel", "" ], [ "Torrents", "David", "" ], ...
The use of large-scale supercomputing architectures is a hard requirement for scientific computing Big-Data applications. An example is genomics analytics, where millions of data transformations and tests per patient need to be done to find relevant clinical indicators. Therefore, to ensure open and broad access to hig...
2311.00706
Jian Chen
Ross Geuy and Nate Rising and Tiancheng Shi, Meng Ling, Jian Chen
Can AI Mitigate Human Perceptual Biases? A Pilot Study
This paper was accepted IEEE VIS 2023 VISxVISION Workshop
null
null
null
cs.HC cs.AI
http://creativecommons.org/licenses/by/4.0/
We present results from a pilot experiment to measure if machine recommendations can debias human perceptual biases in visualization tasks. We specifically studied the ``pull-down'' effect, i.e., people underestimate the average position of lines, for the task of estimating the ensemble average of data points in line...
[ { "created": "Tue, 10 Oct 2023 21:35:15 GMT", "version": "v1" } ]
2023-11-03
[ [ "Geuy", "Ross", "" ], [ "Rising", "Nate", "" ], [ "Shi", "Tiancheng", "" ], [ "Ling", "Meng", "" ], [ "Chen", "Jian", "" ] ]
We present results from a pilot experiment to measure if machine recommendations can debias human perceptual biases in visualization tasks. We specifically studied the ``pull-down'' effect, i.e., people underestimate the average position of lines, for the task of estimating the ensemble average of data points in line c...
0809.4821
Jean-Marie Vanherpe
Jean-Luc Fouquet (LIFO), Jean-Marie Vanherpe (LIFO)
On Fan Raspaud Conjecture
null
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A conjecture of Fan and Raspaud [3] asserts that every bridgeless cubic graph con-tains three perfect matchings with empty intersection. Kaiser and Raspaud [6] sug-gested a possible approach to this problem based on the concept of a balanced join in an embedded graph. We give here some new results concerning this con...
[ { "created": "Sun, 28 Sep 2008 05:56:06 GMT", "version": "v1" } ]
2008-09-30
[ [ "Fouquet", "Jean-Luc", "", "LIFO" ], [ "Vanherpe", "Jean-Marie", "", "LIFO" ] ]
A conjecture of Fan and Raspaud [3] asserts that every bridgeless cubic graph con-tains three perfect matchings with empty intersection. Kaiser and Raspaud [6] sug-gested a possible approach to this problem based on the concept of a balanced join in an embedded graph. We give here some new results concerning this conje...
2007.09222
Haoran Wang
Haoran Wang, Tong Shen, Wei Zhang, Lingyu Duan, Tao Mei
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation
Accepted to ECCV 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite great progress in supervised semantic segmentation,a large performance drop is usually observed when deploying the model in the wild. Domain adaptation methods tackle the issue by aligning the source domain and the target domain. However, most existing methods attempt to perform the alignment from a holistic ...
[ { "created": "Fri, 17 Jul 2020 20:50:59 GMT", "version": "v1" } ]
2020-07-21
[ [ "Wang", "Haoran", "" ], [ "Shen", "Tong", "" ], [ "Zhang", "Wei", "" ], [ "Duan", "Lingyu", "" ], [ "Mei", "Tao", "" ] ]
Despite great progress in supervised semantic segmentation,a large performance drop is usually observed when deploying the model in the wild. Domain adaptation methods tackle the issue by aligning the source domain and the target domain. However, most existing methods attempt to perform the alignment from a holistic vi...
2011.12827
Rafal Kucharski
Rafa{\l} Kucharski, Oded Cats
MaaSSim -- agent-based two-sided mobility platform simulator
null
null
null
null
cs.MA physics.soc-ph
http://creativecommons.org/licenses/by-nc-nd/4.0/
Two-sided mobility platforms, such as Uber and Lyft, widely emerged in the urban mobility landscape, bringing disruptive changes to transportation systems worldwide. This calls for a simulation framework where researchers from various and across disciplines may introduce models aimed at representing the dynamics of p...
[ { "created": "Wed, 25 Nov 2020 15:32:13 GMT", "version": "v1" } ]
2020-11-26
[ [ "Kucharski", "Rafał", "" ], [ "Cats", "Oded", "" ] ]
Two-sided mobility platforms, such as Uber and Lyft, widely emerged in the urban mobility landscape, bringing disruptive changes to transportation systems worldwide. This calls for a simulation framework where researchers from various and across disciplines may introduce models aimed at representing the dynamics of pla...
1711.10125
Yen-Chang Hsu
Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira
Learning to cluster in order to transfer across domains and tasks
ICLR 2018
null
null
null
cs.LG cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a novel method to perform transfer learning across domains and tasks, formulating it as a problem of learning to cluster. The key insight is that, in addition to features, we can transfer similarity information and this is sufficient to learn a similarity function and clustering network to perfo...
[ { "created": "Tue, 28 Nov 2017 04:59:58 GMT", "version": "v1" }, { "created": "Tue, 2 Jan 2018 15:54:59 GMT", "version": "v2" }, { "created": "Sat, 17 Mar 2018 04:42:49 GMT", "version": "v3" } ]
2018-03-20
[ [ "Hsu", "Yen-Chang", "" ], [ "Lv", "Zhaoyang", "" ], [ "Kira", "Zsolt", "" ] ]
This paper introduces a novel method to perform transfer learning across domains and tasks, formulating it as a problem of learning to cluster. The key insight is that, in addition to features, we can transfer similarity information and this is sufficient to learn a similarity function and clustering network to perform...
2402.13547
Zhipeng Xu
Zhipeng Xu, Zhenghao Liu, Yibin Liu, Chenyan Xiong, Yukun Yan, Shuo Wang, Shi Yu, Zhiyuan Liu, Ge Yu
ActiveRAG: Revealing the Treasures of Knowledge via Active Learning
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Retrieval Augmented Generation (RAG) has introduced a new paradigm for Large Language Models (LLMs), aiding in the resolution of knowledge-intensive tasks. However, current RAG models position LLMs as passive knowledge receptors, thereby restricting their capacity for learning and comprehending external knowledge. In...
[ { "created": "Wed, 21 Feb 2024 06:04:53 GMT", "version": "v1" } ]
2024-02-22
[ [ "Xu", "Zhipeng", "" ], [ "Liu", "Zhenghao", "" ], [ "Liu", "Yibin", "" ], [ "Xiong", "Chenyan", "" ], [ "Yan", "Yukun", "" ], [ "Wang", "Shuo", "" ], [ "Yu", "Shi", "" ], [ "Liu", "Zhiyuan", ...
Retrieval Augmented Generation (RAG) has introduced a new paradigm for Large Language Models (LLMs), aiding in the resolution of knowledge-intensive tasks. However, current RAG models position LLMs as passive knowledge receptors, thereby restricting their capacity for learning and comprehending external knowledge. In t...
2009.09447
Lu Yang
Lu Yang, Qing Song, Zhihui Wang, Mengjie Hu, Chun Liu, Xueshi Xin, Wenhe Jia, Songcen Xu
Renovating Parsing R-CNN for Accurate Multiple Human Parsing
Accepted by ECCV 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multiple human parsing aims to segment various human parts and associate each part with the corresponding instance simultaneously. This is a very challenging task due to the diverse human appearance, semantic ambiguity of different body parts, and complex background. Through analysis of multiple human parsing task, w...
[ { "created": "Sun, 20 Sep 2020 14:55:35 GMT", "version": "v1" } ]
2020-09-22
[ [ "Yang", "Lu", "" ], [ "Song", "Qing", "" ], [ "Wang", "Zhihui", "" ], [ "Hu", "Mengjie", "" ], [ "Liu", "Chun", "" ], [ "Xin", "Xueshi", "" ], [ "Jia", "Wenhe", "" ], [ "Xu", "Songcen", "" ...
Multiple human parsing aims to segment various human parts and associate each part with the corresponding instance simultaneously. This is a very challenging task due to the diverse human appearance, semantic ambiguity of different body parts, and complex background. Through analysis of multiple human parsing task, we ...
2111.12685
Tao Hu
Tao Hu, Kripasindhu Sarkar, Lingjie Liu, Matthias Zwicker, Christian Theobalt
EgoRenderer: Rendering Human Avatars from Egocentric Camera Images
ICCV 2021. https://vcai.mpi-inf.mpg.de/projects/EgoRenderer/
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
We present EgoRenderer, a system for rendering full-body neural avatars of a person captured by a wearable, egocentric fisheye camera that is mounted on a cap or a VR headset. Our system renders photorealistic novel views of the actor and her motion from arbitrary virtual camera locations. Rendering full-body avatars...
[ { "created": "Wed, 24 Nov 2021 18:33:02 GMT", "version": "v1" } ]
2021-11-25
[ [ "Hu", "Tao", "" ], [ "Sarkar", "Kripasindhu", "" ], [ "Liu", "Lingjie", "" ], [ "Zwicker", "Matthias", "" ], [ "Theobalt", "Christian", "" ] ]
We present EgoRenderer, a system for rendering full-body neural avatars of a person captured by a wearable, egocentric fisheye camera that is mounted on a cap or a VR headset. Our system renders photorealistic novel views of the actor and her motion from arbitrary virtual camera locations. Rendering full-body avatars f...
2106.15083
Peter Kulits
Peter Kulits and Jake Wall and Anka Bedetti and Michelle Henley and Sara Beery
ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification
null
null
10.1145/3460112.3471947
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
African elephants are vital to their ecosystems, but their populations are threatened by a rise in human-elephant conflict and poaching. Monitoring population dynamics is essential in conservation efforts; however, tracking elephants is a difficult task, usually relying on the invasive and sometimes dangerous placeme...
[ { "created": "Tue, 29 Jun 2021 04:18:22 GMT", "version": "v1" }, { "created": "Wed, 30 Jun 2021 01:46:20 GMT", "version": "v2" } ]
2021-07-01
[ [ "Kulits", "Peter", "" ], [ "Wall", "Jake", "" ], [ "Bedetti", "Anka", "" ], [ "Henley", "Michelle", "" ], [ "Beery", "Sara", "" ] ]
African elephants are vital to their ecosystems, but their populations are threatened by a rise in human-elephant conflict and poaching. Monitoring population dynamics is essential in conservation efforts; however, tracking elephants is a difficult task, usually relying on the invasive and sometimes dangerous placement...
1901.00172
Shaobo Han
Shaobo Han and David B. Dunson
Supervised Multiscale Dimension Reduction for Spatial Interaction Networks
30 pages, 12 figures, revised for clarity and conciseness
null
null
null
cs.LG cs.SI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a multiscale supervised dimension reduction method for SPatial Interaction Network (SPIN) data, which consist of a collection of spatially coordinated interactions. This type of predictor arises when the sampling unit of data is composed of a collection of primitive variables, each of them being essentia...
[ { "created": "Tue, 1 Jan 2019 16:01:36 GMT", "version": "v1" }, { "created": "Mon, 28 Jan 2019 14:46:17 GMT", "version": "v2" }, { "created": "Sat, 8 Jun 2019 20:28:55 GMT", "version": "v3" } ]
2019-06-11
[ [ "Han", "Shaobo", "" ], [ "Dunson", "David B.", "" ] ]
We introduce a multiscale supervised dimension reduction method for SPatial Interaction Network (SPIN) data, which consist of a collection of spatially coordinated interactions. This type of predictor arises when the sampling unit of data is composed of a collection of primitive variables, each of them being essentiall...
2308.04404
Sajjad Emdadi Mahdimahalleh
Sajjad Emdadi Mahdimahalleh
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review
null
null
null
null
cs.LG cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
These days with the rising computational capabilities of wireless user equipment such as smart phones, tablets, and vehicles, along with growing concerns about sharing private data, a novel machine learning model called federated learning (FL) has emerged. FL enables the separation of data acquisition and computation...
[ { "created": "Tue, 1 Aug 2023 22:32:10 GMT", "version": "v1" } ]
2023-08-09
[ [ "Mahdimahalleh", "Sajjad Emdadi", "" ] ]
These days with the rising computational capabilities of wireless user equipment such as smart phones, tablets, and vehicles, along with growing concerns about sharing private data, a novel machine learning model called federated learning (FL) has emerged. FL enables the separation of data acquisition and computation a...
2211.13449
Hongkai Zheng
Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar
Fast Sampling of Diffusion Models via Operator Learning
null
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diffusion models have found widespread adoption in various areas. However, their sampling process is slow because it requires hundreds to thousands of network evaluations to emulate a continuous process defined by differential equations. In this work, we use neural operators, an efficient method to solve the probabil...
[ { "created": "Thu, 24 Nov 2022 07:30:27 GMT", "version": "v1" }, { "created": "Tue, 31 Jan 2023 22:45:41 GMT", "version": "v2" }, { "created": "Sat, 22 Jul 2023 08:47:10 GMT", "version": "v3" } ]
2023-07-25
[ [ "Zheng", "Hongkai", "" ], [ "Nie", "Weili", "" ], [ "Vahdat", "Arash", "" ], [ "Azizzadenesheli", "Kamyar", "" ], [ "Anandkumar", "Anima", "" ] ]
Diffusion models have found widespread adoption in various areas. However, their sampling process is slow because it requires hundreds to thousands of network evaluations to emulate a continuous process defined by differential equations. In this work, we use neural operators, an efficient method to solve the probabilit...
2109.13910
Shiyang Lu
Shiyang Lu, Rui Wang, Yinglong Miao, Chaitanya Mitash, Kostas Bekris
Online Object Model Reconstruction and Reuse for Lifelong Improvement of Robot Manipulation
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
This work proposes a robotic pipeline for picking and constrained placement of objects without geometric shape priors. Compared to recent efforts developed for similar tasks, where every object was assumed to be novel, the proposed system recognizes previously manipulated objects and performs online model reconstruct...
[ { "created": "Tue, 28 Sep 2021 17:56:01 GMT", "version": "v1" }, { "created": "Mon, 23 May 2022 02:53:18 GMT", "version": "v2" } ]
2022-05-24
[ [ "Lu", "Shiyang", "" ], [ "Wang", "Rui", "" ], [ "Miao", "Yinglong", "" ], [ "Mitash", "Chaitanya", "" ], [ "Bekris", "Kostas", "" ] ]
This work proposes a robotic pipeline for picking and constrained placement of objects without geometric shape priors. Compared to recent efforts developed for similar tasks, where every object was assumed to be novel, the proposed system recognizes previously manipulated objects and performs online model reconstructio...
1611.07420
Hongyang Qu
Hongyang Qu, Michalis Smyrnakis and Sandor M. Veres
SMCL - Stochastic Model Checker for Learning in Games
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A stochastic model checker is presented for analysing the performance of game-theoretic learning algorithms. The method enables the comparison of short-term behaviour of learning algorithms intended for practical use. The procedure of comparison is automated and it can be tuned for accuracy and speed. Users can choos...
[ { "created": "Thu, 10 Nov 2016 15:48:08 GMT", "version": "v1" } ]
2016-11-23
[ [ "Qu", "Hongyang", "" ], [ "Smyrnakis", "Michalis", "" ], [ "Veres", "Sandor M.", "" ] ]
A stochastic model checker is presented for analysing the performance of game-theoretic learning algorithms. The method enables the comparison of short-term behaviour of learning algorithms intended for practical use. The procedure of comparison is automated and it can be tuned for accuracy and speed. Users can choose ...
2108.06165
Berkan Demirel
Berkan Demirel and Ramazan Gokberk Cinbis
Caption Generation on Scenes with Seen and Unseen Object Categories
Accepted for Publication at Image and Vision Computing (IMAVIS)
null
10.1016/j.imavis.2022.104515
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Image caption generation is one of the most challenging problems at the intersection of vision and language domains. In this work, we propose a realistic captioning task where the input scenes may incorporate visual objects with no corresponding visual or textual training examples. For this problem, we propose a dete...
[ { "created": "Fri, 13 Aug 2021 10:43:20 GMT", "version": "v1" }, { "created": "Fri, 1 Jul 2022 11:47:46 GMT", "version": "v2" } ]
2022-07-04
[ [ "Demirel", "Berkan", "" ], [ "Cinbis", "Ramazan Gokberk", "" ] ]
Image caption generation is one of the most challenging problems at the intersection of vision and language domains. In this work, we propose a realistic captioning task where the input scenes may incorporate visual objects with no corresponding visual or textual training examples. For this problem, we propose a detect...
2107.04000
Siddharth Ancha
Siddharth Ancha, Gaurav Pathak, Srinivasa G. Narasimhan, David Held
Active Safety Envelopes using Light Curtains with Probabilistic Guarantees
18 pages, Published at Robotics: Science and Systems (RSS) 2021
null
10.15607/rss.2021.xvii.045
null
cs.LG cs.AI cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To safely navigate unknown environments, robots must accurately perceive dynamic obstacles. Instead of directly measuring the scene depth with a LiDAR sensor, we explore the use of a much cheaper and higher resolution sensor: programmable light curtains. Light curtains are controllable depth sensors that sense only a...
[ { "created": "Thu, 8 Jul 2021 17:46:05 GMT", "version": "v1" } ]
2021-07-09
[ [ "Ancha", "Siddharth", "" ], [ "Pathak", "Gaurav", "" ], [ "Narasimhan", "Srinivasa G.", "" ], [ "Held", "David", "" ] ]
To safely navigate unknown environments, robots must accurately perceive dynamic obstacles. Instead of directly measuring the scene depth with a LiDAR sensor, we explore the use of a much cheaper and higher resolution sensor: programmable light curtains. Light curtains are controllable depth sensors that sense only alo...
2310.06599
Daniel Russo
Christiaan Verwijs, Daniel Russo
Do Agile Scaling Approaches Make A Difference? An Empirical Comparison of Team Effectiveness Across Popular Scaling Approaches
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the era of Agile methodologies, organizations are exploring strategies to scale development across teams. Various scaling strategies have emerged, from "SAFe" to "LeSS", with some organizations creating their own methods. Despite numerous studies on organizational challenges with these approaches, none have empiri...
[ { "created": "Tue, 10 Oct 2023 13:06:38 GMT", "version": "v1" } ]
2023-10-11
[ [ "Verwijs", "Christiaan", "" ], [ "Russo", "Daniel", "" ] ]
In the era of Agile methodologies, organizations are exploring strategies to scale development across teams. Various scaling strategies have emerged, from "SAFe" to "LeSS", with some organizations creating their own methods. Despite numerous studies on organizational challenges with these approaches, none have empirica...