id
stringlengths
9
10
submitter
stringlengths
1
64
authors
stringlengths
4
20.7k
title
stringlengths
4
246
comments
stringlengths
1
523
journal-ref
stringlengths
4
404
doi
stringlengths
11
153
report-no
stringlengths
2
254
categories
stringlengths
5
98
license
stringclasses
9 values
orig_abstract
stringlengths
14
3.35k
versions
listlengths
1
60
update_date
stringlengths
10
10
authors_parsed
listlengths
1
1.35k
abstract
stringlengths
11
3.34k
1906.04680
Stanislav Fedorov
Antonio Candelieri, Stanislav Fedorov, Enza Messina
Efficient Kernel-based Subsequence Search for User Identification from Walking Activity
Keywords: Subsequence Search on Streaming Data, Dynamic Time Warping, Kernel
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an efficient approach for subsequence search in data streams. The problem consists in identifying coherent repetitions of a given reference time-series, eventually multi-variate, within a longer data stream. Dynamic Time Warping (DTW) is the metric most widely used to implement pattern query, but ...
[ { "created": "Tue, 11 Jun 2019 16:24:45 GMT", "version": "v1" }, { "created": "Tue, 16 Jul 2019 14:29:34 GMT", "version": "v2" } ]
2019-07-17
[ [ "Candelieri", "Antonio", "" ], [ "Fedorov", "Stanislav", "" ], [ "Messina", "Enza", "" ] ]
This paper presents an efficient approach for subsequence search in data streams. The problem consists in identifying coherent repetitions of a given reference time-series, eventually multi-variate, within a longer data stream. Dynamic Time Warping (DTW) is the metric most widely used to implement pattern query, but it...
2010.16267
Wentong Liao
Hao Cheng, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn
Exploring Dynamic Context for Multi-path Trajectory Prediction
accpeted by ICRA 2021, code available
null
null
null
cs.CV cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To accurately predict future positions of different agents in traffic scenarios is crucial for safely deploying intelligent autonomous systems in the real-world environment. However, it remains a challenge due to the behavior of a target agent being affected by other agents dynamically and there being more than one s...
[ { "created": "Fri, 30 Oct 2020 13:39:20 GMT", "version": "v1" }, { "created": "Mon, 2 Nov 2020 11:41:38 GMT", "version": "v2" }, { "created": "Wed, 24 Mar 2021 10:28:47 GMT", "version": "v3" } ]
2021-03-25
[ [ "Cheng", "Hao", "" ], [ "Liao", "Wentong", "" ], [ "Tang", "Xuejiao", "" ], [ "Yang", "Michael Ying", "" ], [ "Sester", "Monika", "" ], [ "Rosenhahn", "Bodo", "" ] ]
To accurately predict future positions of different agents in traffic scenarios is crucial for safely deploying intelligent autonomous systems in the real-world environment. However, it remains a challenge due to the behavior of a target agent being affected by other agents dynamically and there being more than one soc...
1507.07716
Mingbo Dai
Mingbo Dai, Bruno Clerckx, David Gesbert, Giuseppe Caire
A Hierarchical Rate Splitting Strategy for FDD Massive MIMO under Imperfect CSIT
Accepted paper at IEEE CAMAD 2015
null
10.1109/CAMAD.2015.7390485
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a multiuser MIMO broadcast channel, the rate performance is affected by the multiuser interference when the Channel State Information at the Transmitter (CSIT) is imperfect. To tackle the interference problem, a Rate-Splitting (RS) approach has been proposed recently, which splits one user's message into a common ...
[ { "created": "Tue, 28 Jul 2015 10:37:07 GMT", "version": "v1" } ]
2016-11-15
[ [ "Dai", "Mingbo", "" ], [ "Clerckx", "Bruno", "" ], [ "Gesbert", "David", "" ], [ "Caire", "Giuseppe", "" ] ]
In a multiuser MIMO broadcast channel, the rate performance is affected by the multiuser interference when the Channel State Information at the Transmitter (CSIT) is imperfect. To tackle the interference problem, a Rate-Splitting (RS) approach has been proposed recently, which splits one user's message into a common an...
2407.09503
Steven Abreu
Steven Abreu, Tiffany D. Do, Karan Ahuja, Eric J. Gonzalez, Lee Payne, Daniel McDuff, Mar Gonzalez-Franco
PARSE-Ego4D: Personal Action Recommendation Suggestions for Egocentric Videos
null
null
null
null
cs.CV cs.HC cs.NE
http://creativecommons.org/licenses/by/4.0/
Intelligent assistance involves not only understanding but also action. Existing ego-centric video datasets contain rich annotations of the videos, but not of actions that an intelligent assistant could perform in the moment. To address this gap, we release PARSE-Ego4D, a new set of personal action recommendation ann...
[ { "created": "Fri, 14 Jun 2024 09:39:53 GMT", "version": "v1" }, { "created": "Thu, 25 Jul 2024 13:29:27 GMT", "version": "v2" } ]
2024-07-26
[ [ "Abreu", "Steven", "" ], [ "Do", "Tiffany D.", "" ], [ "Ahuja", "Karan", "" ], [ "Gonzalez", "Eric J.", "" ], [ "Payne", "Lee", "" ], [ "McDuff", "Daniel", "" ], [ "Gonzalez-Franco", "Mar", "" ] ]
Intelligent assistance involves not only understanding but also action. Existing ego-centric video datasets contain rich annotations of the videos, but not of actions that an intelligent assistant could perform in the moment. To address this gap, we release PARSE-Ego4D, a new set of personal action recommendation annot...
2301.06145
Narad Rampersad
Lucas Mol, Narad Rampersad, Jeffrey Shallit
Dyck Words, Pattern Avoidance, and Automatic Sequences
Full version of a paper appearing in the conference proceedings of WORDS 2023
Communications in Mathematics, Volume 33 (2025), Issue 2 (Special issue: Numeration, Liège 2023, dedicated to the 75th birthday of professor Christiane Frougny) (August 2, 2024) cm:12695
10.46298/cm.12695
null
cs.DM cs.FL math.CO
http://creativecommons.org/licenses/by-sa/4.0/
We study various aspects of Dyck words appearing in binary sequences, where $0$ is treated as a left parenthesis and $1$ as a right parenthesis. We show that binary words that are $7/3$-power-free have bounded nesting level, but this no longer holds for larger repetition exponents. We give an explicit characterizatio...
[ { "created": "Sun, 15 Jan 2023 17:20:56 GMT", "version": "v1" }, { "created": "Thu, 14 Dec 2023 17:52:58 GMT", "version": "v2" }, { "created": "Wed, 31 Jul 2024 14:22:23 GMT", "version": "v3" } ]
2024-08-14
[ [ "Mol", "Lucas", "" ], [ "Rampersad", "Narad", "" ], [ "Shallit", "Jeffrey", "" ] ]
We study various aspects of Dyck words appearing in binary sequences, where $0$ is treated as a left parenthesis and $1$ as a right parenthesis. We show that binary words that are $7/3$-power-free have bounded nesting level, but this no longer holds for larger repetition exponents. We give an explicit characterization ...
2406.01055
Julian Frattini
Julian Frattini, Lloyd Montgomery, Davide Fucci, Michael Unterkalmsteiner, Daniel Mendez, Jannik Fischbach
Requirements Quality Research Artifacts: Recovery, Analysis, and Management Guideline
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Requirements quality research, which is dedicated to assessing and improving the quality of requirements specifications, is dependent on research artifacts like data sets (containing information about quality defects) and implementations (automatically detecting and removing these defects). However, recent research e...
[ { "created": "Mon, 3 Jun 2024 07:09:15 GMT", "version": "v1" } ]
2024-06-04
[ [ "Frattini", "Julian", "" ], [ "Montgomery", "Lloyd", "" ], [ "Fucci", "Davide", "" ], [ "Unterkalmsteiner", "Michael", "" ], [ "Mendez", "Daniel", "" ], [ "Fischbach", "Jannik", "" ] ]
Requirements quality research, which is dedicated to assessing and improving the quality of requirements specifications, is dependent on research artifacts like data sets (containing information about quality defects) and implementations (automatically detecting and removing these defects). However, recent research exp...
2406.10166
Sanjali Yadav
Sanjali Yadav, Bahar Asgari
Misam: Using ML in Dataflow Selection of Sparse-Sparse Matrix Multiplication
Accepted to ISCA 2024 MLArchSys workshop https://openreview.net/forum?id=A1V9FaZRbV
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Sparse matrix-matrix multiplication (SpGEMM) is a critical operation in numerous fields, including scientific computing, graph analytics, and deep learning. These applications exploit the sparsity of matrices to reduce storage and computational demands. However, the irregular structure of sparse matrices poses signif...
[ { "created": "Fri, 14 Jun 2024 16:36:35 GMT", "version": "v1" } ]
2024-06-17
[ [ "Yadav", "Sanjali", "" ], [ "Asgari", "Bahar", "" ] ]
Sparse matrix-matrix multiplication (SpGEMM) is a critical operation in numerous fields, including scientific computing, graph analytics, and deep learning. These applications exploit the sparsity of matrices to reduce storage and computational demands. However, the irregular structure of sparse matrices poses signific...
2207.00759
Jiaxiang Liu
Jiaxiang Liu, Yunhan Xing, Xiaomu Shi, Fu Song, Zhiwu Xu, Zhong Ming
Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks
null
null
null
null
cs.SE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As a new programming paradigm, deep neural networks (DNNs) have been increasingly deployed in practice, but the lack of robustness hinders their applications in safety-critical domains. While there are techniques for verifying DNNs with formal guarantees, they are limited in scalability and accuracy. In this paper, w...
[ { "created": "Sat, 2 Jul 2022 07:04:20 GMT", "version": "v1" } ]
2022-07-05
[ [ "Liu", "Jiaxiang", "" ], [ "Xing", "Yunhan", "" ], [ "Shi", "Xiaomu", "" ], [ "Song", "Fu", "" ], [ "Xu", "Zhiwu", "" ], [ "Ming", "Zhong", "" ] ]
As a new programming paradigm, deep neural networks (DNNs) have been increasingly deployed in practice, but the lack of robustness hinders their applications in safety-critical domains. While there are techniques for verifying DNNs with formal guarantees, they are limited in scalability and accuracy. In this paper, we ...
1912.05729
Toru Tamaki
Daisuke Ogawa, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Ken Yoda
Improved Activity Forecasting for Generating Trajectories
The 2019 International Workshop on Frontiers of Computer Vision (IW-FCV2019)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An efficient inverse reinforcement learning for generating trajectories is proposed based of 2D and 3D activity forecasting. We modify reward function with $L_p$ norm and propose convolution into value iteration steps, which is called convolutional value iteration. Experimental results with seabird trajectories (43 f...
[ { "created": "Thu, 12 Dec 2019 02:05:24 GMT", "version": "v1" } ]
2019-12-13
[ [ "Ogawa", "Daisuke", "" ], [ "Tamaki", "Toru", "" ], [ "Hirakawa", "Tsubasa", "" ], [ "Raytchev", "Bisser", "" ], [ "Kaneda", "Kazufumi", "" ], [ "Yoda", "Ken", "" ] ]
An efficient inverse reinforcement learning for generating trajectories is proposed based of 2D and 3D activity forecasting. We modify reward function with $L_p$ norm and propose convolution into value iteration steps, which is called convolutional value iteration. Experimental results with seabird trajectories (43 for...
2104.04085
Jaya Kartheek Devineni
J. Kartheek Devineni and Harpreet S. Dhillon
Manchester Encoding for Non-coherent Detection of Ambient Backscatter in Time-Selective Fading
null
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Simplifying the detection procedure and improving the bit error rate (BER) performance of a non-coherent receiver in ambient backscatter is vital for enhancing its ability to function without the channel state information (CSI). In this work, we analyze the BER performance of Manchester encoding which is implemented ...
[ { "created": "Thu, 8 Apr 2021 21:19:50 GMT", "version": "v1" }, { "created": "Mon, 26 Apr 2021 17:15:26 GMT", "version": "v2" } ]
2021-04-27
[ [ "Devineni", "J. Kartheek", "" ], [ "Dhillon", "Harpreet S.", "" ] ]
Simplifying the detection procedure and improving the bit error rate (BER) performance of a non-coherent receiver in ambient backscatter is vital for enhancing its ability to function without the channel state information (CSI). In this work, we analyze the BER performance of Manchester encoding which is implemented at...
1009.4870
Sandor P. Fekete
Tobias Baumgartner and Sandor P. Fekete and Tom Kamphans and Alexander Kroeller and Max Pagel
Hallway Monitoring: Distributed Data Processing with Wireless Sensor Networks
12 pages, 5 figures, to appear in REALWSN'10
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a sensor network testbed that monitors a hallway. It consists of 120 load sensors and 29 passive infrared sensors (PIRs), connected to 30 wireless sensor nodes. There are also 29 LEDs and speakers installed, operating as actuators, and enabling a direct interaction between the testbed and passers-by. Beyon...
[ { "created": "Fri, 24 Sep 2010 15:42:30 GMT", "version": "v1" } ]
2010-09-27
[ [ "Baumgartner", "Tobias", "" ], [ "Fekete", "Sandor P.", "" ], [ "Kamphans", "Tom", "" ], [ "Kroeller", "Alexander", "" ], [ "Pagel", "Max", "" ] ]
We present a sensor network testbed that monitors a hallway. It consists of 120 load sensors and 29 passive infrared sensors (PIRs), connected to 30 wireless sensor nodes. There are also 29 LEDs and speakers installed, operating as actuators, and enabling a direct interaction between the testbed and passers-by. Beyond ...
2309.11625
Victor Morel
Victor Morel, Cristiana Santos, Viktor Fredholm, Adam Thunberg
Legitimate Interest is the New Consent -- Large-Scale Measurement and Legal Compliance of IAB Europe TCF Paywalls
Accepted for publication at WPES2023, minor modifications following feedback from the community
null
10.1145/3603216.3624966
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Cookie paywalls allow visitors of a website to access its content only after they make a choice between paying a fee or accept tracking. European Data Protection Authorities (DPAs) recently issued guidelines and decisions on paywalls lawfulness, but it is yet unknown whether websites comply with them. We study in thi...
[ { "created": "Wed, 20 Sep 2023 20:24:52 GMT", "version": "v1" }, { "created": "Mon, 25 Sep 2023 11:12:28 GMT", "version": "v2" }, { "created": "Fri, 13 Oct 2023 14:22:17 GMT", "version": "v3" } ]
2023-10-16
[ [ "Morel", "Victor", "" ], [ "Santos", "Cristiana", "" ], [ "Fredholm", "Viktor", "" ], [ "Thunberg", "Adam", "" ] ]
Cookie paywalls allow visitors of a website to access its content only after they make a choice between paying a fee or accept tracking. European Data Protection Authorities (DPAs) recently issued guidelines and decisions on paywalls lawfulness, but it is yet unknown whether websites comply with them. We study in this ...
2303.17558
Chiara Gallese
Chiara Gallese
The AI Act proposal: a new right to technical interpretability?
10 pages, Information Society Law Center online event, 20-22 February 2023
null
null
null
cs.CY cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
The debate about the concept of the so called right to explanation in AI is the subject of a wealth of literature. It has focused, in the legal scholarship, on art. 22 GDPR and, in the technical scholarship, on techniques that help explain the output of a certain model (XAI). The purpose of this work is to investigat...
[ { "created": "Tue, 14 Mar 2023 16:37:48 GMT", "version": "v1" } ]
2023-03-31
[ [ "Gallese", "Chiara", "" ] ]
The debate about the concept of the so called right to explanation in AI is the subject of a wealth of literature. It has focused, in the legal scholarship, on art. 22 GDPR and, in the technical scholarship, on techniques that help explain the output of a certain model (XAI). The purpose of this work is to investigate ...
1509.02135
Gary Lawson Jr
Gary Lawson, Vaibhav Sundriyal, Masha Sosonkina, Yuzhong Shen
Experimentation Procedure for Offloaded Mini-Apps Executed on Cluster Architectures with Xeon Phi Accelerators
Complete, but references are a mess
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A heterogeneous cluster architecture is complex. It contains hundreds, or thousands of devices connected by a tiered communication system in order to solve a problem. As a heterogeneous system, these devices will have varying performance capabilities. To better understand the interactions which occur between the vari...
[ { "created": "Mon, 7 Sep 2015 17:44:02 GMT", "version": "v1" }, { "created": "Mon, 14 Sep 2015 21:44:29 GMT", "version": "v2" } ]
2015-09-16
[ [ "Lawson", "Gary", "" ], [ "Sundriyal", "Vaibhav", "" ], [ "Sosonkina", "Masha", "" ], [ "Shen", "Yuzhong", "" ] ]
A heterogeneous cluster architecture is complex. It contains hundreds, or thousands of devices connected by a tiered communication system in order to solve a problem. As a heterogeneous system, these devices will have varying performance capabilities. To better understand the interactions which occur between the variou...
2004.12527
Jerry Zikun Chen
Jerrod Parker and Jerry Zikun Chen
Neural Machine Translation with Monte-Carlo Tree Search
null
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent algorithms in machine translation have included a value network to assist the policy network when deciding which word to output at each step of the translation. The addition of a value network helps the algorithm perform better on evaluation metrics like the BLEU score. After training the policy and value netw...
[ { "created": "Mon, 27 Apr 2020 01:03:26 GMT", "version": "v1" } ]
2020-04-28
[ [ "Parker", "Jerrod", "" ], [ "Chen", "Jerry Zikun", "" ] ]
Recent algorithms in machine translation have included a value network to assist the policy network when deciding which word to output at each step of the translation. The addition of a value network helps the algorithm perform better on evaluation metrics like the BLEU score. After training the policy and value networ...
1310.4574
EPTCS
Kyriakos Poyias (University of Leicester, UK), Emilio Tuosto (University of Leicester, UK)
On Recovering from Run-time Misbehaviour in ADR
In Proceedings ICE 2013, arXiv:1310.4019
EPTCS 131, 2013, pp. 68-84
10.4204/EPTCS.131.7
null
cs.SE cs.DC cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a monitoring mechanism for recording the evolution of systems after certain computations, maintaining the history in a tree-like structure. Technically, we develop the monitoring mechanism in a variant of ADR (after Architectural Design Rewriting), a rule-based formal framework for modelling the evolution ...
[ { "created": "Thu, 17 Oct 2013 03:48:22 GMT", "version": "v1" } ]
2013-10-18
[ [ "Poyias", "Kyriakos", "", "University of Leicester, UK" ], [ "Tuosto", "Emilio", "", "University of Leicester, UK" ] ]
We propose a monitoring mechanism for recording the evolution of systems after certain computations, maintaining the history in a tree-like structure. Technically, we develop the monitoring mechanism in a variant of ADR (after Architectural Design Rewriting), a rule-based formal framework for modelling the evolution of...
2103.04026
Chentian Li
Chentian Li, Chi Ma, William W. Lu
Morphological Operation Residual Blocks: Enhancing 3D Morphological Feature Representation in Convolutional Neural Networks for Semantic Segmentation of Medical Images
null
null
null
null
cs.CV cs.LG eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The shapes and morphology of the organs and tissues are important prior knowledge in medical imaging recognition and segmentation. The morphological operation is a well-known method for morphological feature extraction. As the morphological operation is performed well in hand-crafted image segmentation techniques, it...
[ { "created": "Sat, 6 Mar 2021 04:41:37 GMT", "version": "v1" } ]
2021-03-09
[ [ "Li", "Chentian", "" ], [ "Ma", "Chi", "" ], [ "Lu", "William W.", "" ] ]
The shapes and morphology of the organs and tissues are important prior knowledge in medical imaging recognition and segmentation. The morphological operation is a well-known method for morphological feature extraction. As the morphological operation is performed well in hand-crafted image segmentation techniques, it i...
2005.02329
Wojciech Nadara
{\L}ukasz Kowalik, Shaohua Li, Wojciech Nadara, Marcin Smulewicz, Magnus Wahlstr\"om
Many visits TSP revisited
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the Many Visits TSP problem, where given a number $k(v)$ for each of $n$ cities and pairwise (possibly asymmetric) integer distances, one has to find an optimal tour that visits each city $v$ exactly $k(v)$ times. The currently fastest algorithm is due to Berger, Kozma, Mnich and Vincze [SODA 2019, TALG 2020...
[ { "created": "Tue, 5 May 2020 16:54:58 GMT", "version": "v1" } ]
2020-05-06
[ [ "Kowalik", "Łukasz", "" ], [ "Li", "Shaohua", "" ], [ "Nadara", "Wojciech", "" ], [ "Smulewicz", "Marcin", "" ], [ "Wahlström", "Magnus", "" ] ]
We study the Many Visits TSP problem, where given a number $k(v)$ for each of $n$ cities and pairwise (possibly asymmetric) integer distances, one has to find an optimal tour that visits each city $v$ exactly $k(v)$ times. The currently fastest algorithm is due to Berger, Kozma, Mnich and Vincze [SODA 2019, TALG 2020] ...
2308.02136
Yusuke Kato
Yusuke Kato, Ryo Okumura, Tadahiro Taniguchi
World-Model-Based Control for Industrial box-packing of Multiple Objects using NewtonianVAE
7 pages, 8 figures
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The process of industrial box-packing, which involves the accurate placement of multiple objects, requires high-accuracy positioning and sequential actions. When a robot is tasked with placing an object at a specific location with high accuracy, it is important not only to have information about the location of the o...
[ { "created": "Fri, 4 Aug 2023 04:58:06 GMT", "version": "v1" }, { "created": "Thu, 4 Apr 2024 00:47:48 GMT", "version": "v2" } ]
2024-04-05
[ [ "Kato", "Yusuke", "" ], [ "Okumura", "Ryo", "" ], [ "Taniguchi", "Tadahiro", "" ] ]
The process of industrial box-packing, which involves the accurate placement of multiple objects, requires high-accuracy positioning and sequential actions. When a robot is tasked with placing an object at a specific location with high accuracy, it is important not only to have information about the location of the obj...
1403.7760
Ernst-Erich Doberkat
Ernst-Erich Doberkat
Categories and all that -- A Tutorial
null
null
null
SWT-Memo-198
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This is a short introduction to categories with some emphasis on coalgebras. We start from introducing basic notions (categories, functors, natural transformations), move to Kleisli tripels and monads, with a short discussion of monads in Haskell, and continue with displaying the interplay between algebras, adjunctio...
[ { "created": "Sun, 30 Mar 2014 13:51:33 GMT", "version": "v1" }, { "created": "Wed, 8 Oct 2014 11:50:15 GMT", "version": "v2" } ]
2014-10-09
[ [ "Doberkat", "Ernst-Erich", "" ] ]
This is a short introduction to categories with some emphasis on coalgebras. We start from introducing basic notions (categories, functors, natural transformations), move to Kleisli tripels and monads, with a short discussion of monads in Haskell, and continue with displaying the interplay between algebras, adjunctions...
2202.08469
Silvio Peroni
Erika Alves dos Santos, Silvio Peroni, Marcos Luiz Mucheroni
An analysis of citing and referencing habits across all scholarly disciplines: approaches and trends in bibliographic referencing and citing practices
null
null
10.1108/JD-10-2022-0234
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Purpose. In this study, we want to identify current possible causes for citing and referencing errors in scholarly literature to compare if something changed from the snapshot provided Sweetland in his 1989 paper. Design/methodology/approach. We analysed reference elements, i.e. bibliographic references, mentions, qu...
[ { "created": "Thu, 17 Feb 2022 06:43:06 GMT", "version": "v1" }, { "created": "Mon, 31 Oct 2022 17:46:52 GMT", "version": "v2" }, { "created": "Sat, 10 Jun 2023 15:00:08 GMT", "version": "v3" } ]
2023-06-13
[ [ "Santos", "Erika Alves dos", "" ], [ "Peroni", "Silvio", "" ], [ "Mucheroni", "Marcos Luiz", "" ] ]
Purpose. In this study, we want to identify current possible causes for citing and referencing errors in scholarly literature to compare if something changed from the snapshot provided Sweetland in his 1989 paper. Design/methodology/approach. We analysed reference elements, i.e. bibliographic references, mentions, quot...
1903.09305
Supreeth Shastri
Supreeth Shastri, Melissa Wasserman, Vijay Chidambaram
The Seven Sins of Personal-Data Processing Systems under GDPR
Accepted for publication at USENIX HotCloud 2019
null
null
null
cs.CY cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, our society is being plagued by unprecedented levels of privacy and security breaches. To rein in this trend, the European Union, in 2018, introduced a comprehensive legislation called the General Data Protection Regulation (GDPR). In this paper, we review GDPR from a system design perspective, and i...
[ { "created": "Fri, 8 Mar 2019 03:46:28 GMT", "version": "v1" }, { "created": "Wed, 15 May 2019 15:25:53 GMT", "version": "v2" } ]
2019-05-16
[ [ "Shastri", "Supreeth", "" ], [ "Wasserman", "Melissa", "" ], [ "Chidambaram", "Vijay", "" ] ]
In recent years, our society is being plagued by unprecedented levels of privacy and security breaches. To rein in this trend, the European Union, in 2018, introduced a comprehensive legislation called the General Data Protection Regulation (GDPR). In this paper, we review GDPR from a system design perspective, and ide...
0711.4634
Grenville Croll
Brandon Weber
Strategies for Addressing Spreadsheet Compliance Challenges
16 pages including web links and references
Proc. European Spreadsheet Risks Int. Grp. 2006 17-32 ISBN:1-905617-08-09
null
null
cs.CY
null
Most organizations today use spreadsheets in some form or another to support critical business processes. However the financial resources, and developmental rigor dedicated to them are often minor in comparison to other enterprise technology. The increasing focus on achieving regulatory and other forms of compliance ...
[ { "created": "Thu, 29 Nov 2007 00:51:28 GMT", "version": "v1" } ]
2008-03-13
[ [ "Weber", "Brandon", "" ] ]
Most organizations today use spreadsheets in some form or another to support critical business processes. However the financial resources, and developmental rigor dedicated to them are often minor in comparison to other enterprise technology. The increasing focus on achieving regulatory and other forms of compliance ov...
1206.5273
Lukas Kroc
Lukas Kroc, Ashish Sabharwal, Bart Selman
Survey Propagation Revisited
Appears in Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI2007)
null
null
UAI-P-2007-PG-217-226
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Survey propagation (SP) is an exciting new technique that has been remarkably successful at solving very large hard combinatorial problems, such as determining the satisfiability of Boolean formulas. In a promising attempt at understanding the success of SP, it was recently shown that SP can be viewed as a form of be...
[ { "created": "Wed, 20 Jun 2012 15:05:48 GMT", "version": "v1" } ]
2012-06-26
[ [ "Kroc", "Lukas", "" ], [ "Sabharwal", "Ashish", "" ], [ "Selman", "Bart", "" ] ]
Survey propagation (SP) is an exciting new technique that has been remarkably successful at solving very large hard combinatorial problems, such as determining the satisfiability of Boolean formulas. In a promising attempt at understanding the success of SP, it was recently shown that SP can be viewed as a form of beli...
2207.12761
Changkun Ou
Changkun Ou, Daniel Buschek, Sven Mayer, Andreas Butz
The Human in the Infinite Loop: A Case Study on Revealing and Explaining Human-AI Interaction Loop Failures
To appear in Mensch und Computer 2022, September 2022, Darmstadt, Germany. ACM, New York, NY, USA, 16 pages
null
10.1145/3543758.3543761
null
cs.HC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Interactive AI systems increasingly employ a human-in-the-loop strategy. This creates new challenges for the HCI community when designing such systems. We reveal and investigate some of these challenges in a case study with an industry partner, and developed a prototype human-in-the-loop system for preference-guided ...
[ { "created": "Tue, 26 Jul 2022 09:11:14 GMT", "version": "v1" } ]
2022-07-27
[ [ "Ou", "Changkun", "" ], [ "Buschek", "Daniel", "" ], [ "Mayer", "Sven", "" ], [ "Butz", "Andreas", "" ] ]
Interactive AI systems increasingly employ a human-in-the-loop strategy. This creates new challenges for the HCI community when designing such systems. We reveal and investigate some of these challenges in a case study with an industry partner, and developed a prototype human-in-the-loop system for preference-guided 3D...
2108.12831
Deepika Saxena
Deepika Saxena, Rishabh Gupta, Ashutosh Kumar Singh
A Survey and Comparative Study on Multi-Cloud Architectures: Emerging Issues And Challenges For Cloud Federation
14 pages, 11 figures
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
Multi-cloud concept has broaden the world of cloud computing and has become a buzzword today. The word Multi-cloud envisions utilization of services from multiple heterogeneous cloud providers via a single architecture at customer premises. Though cloud computing has many issues and offers open research challenges, s...
[ { "created": "Sun, 29 Aug 2021 12:03:41 GMT", "version": "v1" } ]
2021-08-31
[ [ "Saxena", "Deepika", "" ], [ "Gupta", "Rishabh", "" ], [ "Singh", "Ashutosh Kumar", "" ] ]
Multi-cloud concept has broaden the world of cloud computing and has become a buzzword today. The word Multi-cloud envisions utilization of services from multiple heterogeneous cloud providers via a single architecture at customer premises. Though cloud computing has many issues and offers open research challenges, sti...
1912.00680
Casper Boone
Casper Boone, Niels de Bruin, Arjan Langerak and Fabian Stelmach
DLTPy: Deep Learning Type Inference of Python Function Signatures using Natural Language Context
10 pages, 8 figures The source code of DLTPy is publicly available at https://github.com/casperboone/dltpy/
null
null
null
cs.SE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the rise of machine learning, Python is an increasingly popular programming language. Python, however, is dynamically typed. Dynamic typing has shown to have drawbacks when a project grows, while at the same time it improves developer productivity. To have the benefits of static typing, combined with high deve...
[ { "created": "Mon, 2 Dec 2019 10:55:40 GMT", "version": "v1" } ]
2019-12-03
[ [ "Boone", "Casper", "" ], [ "de Bruin", "Niels", "" ], [ "Langerak", "Arjan", "" ], [ "Stelmach", "Fabian", "" ] ]
Due to the rise of machine learning, Python is an increasingly popular programming language. Python, however, is dynamically typed. Dynamic typing has shown to have drawbacks when a project grows, while at the same time it improves developer productivity. To have the benefits of static typing, combined with high develo...
1503.08294
Giacomo Parigi
Giacomo Parigi, Angelo Stramieri, Danilo Pau, Marco Piastra
A Multi-signal Variant for the GPU-based Parallelization of Growing Self-Organizing Networks
17 pages
Informatics in Control, Automation and Robotics - 9th International Conference, ICINCO 2012 Rome, Italy, July 28-31, 2012 Revised Selected Papers. Part I, pp. 83-100
10.1007/978-3-319-03500-0_6
null
cs.DC cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Among the many possible approaches for the parallelization of self-organizing networks, and in particular of growing self-organizing networks, perhaps the most common one is producing an optimized, parallel implementation of the standard sequential algorithms reported in the literature. In this paper we explore an al...
[ { "created": "Sat, 28 Mar 2015 10:51:55 GMT", "version": "v1" } ]
2015-03-31
[ [ "Parigi", "Giacomo", "" ], [ "Stramieri", "Angelo", "" ], [ "Pau", "Danilo", "" ], [ "Piastra", "Marco", "" ] ]
Among the many possible approaches for the parallelization of self-organizing networks, and in particular of growing self-organizing networks, perhaps the most common one is producing an optimized, parallel implementation of the standard sequential algorithms reported in the literature. In this paper we explore an alte...
2302.05640
Zhongwu Chen
Zhongwu Chen and Chengjin Xu and Fenglong Su and Zhen Huang and You Dou
Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph
null
null
null
null
cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the last few years, the solution to Knowledge Graph (KG) completion via learning embeddings of entities and relations has attracted a surge of interest. Temporal KGs(TKGs) extend traditional Knowledge Graphs (KGs) by associating static triples with timestamps forming quadruples. Different from KGs and TKGs in the ...
[ { "created": "Sat, 11 Feb 2023 09:52:26 GMT", "version": "v1" } ]
2023-02-14
[ [ "Chen", "Zhongwu", "" ], [ "Xu", "Chengjin", "" ], [ "Su", "Fenglong", "" ], [ "Huang", "Zhen", "" ], [ "Dou", "You", "" ] ]
In the last few years, the solution to Knowledge Graph (KG) completion via learning embeddings of entities and relations has attracted a surge of interest. Temporal KGs(TKGs) extend traditional Knowledge Graphs (KGs) by associating static triples with timestamps forming quadruples. Different from KGs and TKGs in the tr...
2108.07842
Yaroslav Golubev
Vladislav Tankov, Dmitriy Valchuk, Yaroslav Golubev, Timofey Bryksin
Infrastructure in Code: Towards Developer-Friendly Cloud Applications
5 pages, 1 figure
null
null
null
cs.SE cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The popularity of cloud technologies has led to the development of a new type of applications that specifically target cloud environments. Such applications require a lot of cloud infrastructure to run, which brought about the Infrastructure as Code approach, where the infrastructure is also coded using a separate la...
[ { "created": "Tue, 17 Aug 2021 19:12:10 GMT", "version": "v1" } ]
2021-08-19
[ [ "Tankov", "Vladislav", "" ], [ "Valchuk", "Dmitriy", "" ], [ "Golubev", "Yaroslav", "" ], [ "Bryksin", "Timofey", "" ] ]
The popularity of cloud technologies has led to the development of a new type of applications that specifically target cloud environments. Such applications require a lot of cloud infrastructure to run, which brought about the Infrastructure as Code approach, where the infrastructure is also coded using a separate lang...
2406.10719
Orson Mengara
Orson Mengara
Trading Devil: Robust backdoor attack via Stochastic investment models and Bayesian approach
(Last update!, a constructive comment from arxiv led to this latest update ) Stochastic investment models and a Bayesian approach to better modeling of uncertainty : adversarial machine learning or Stochastic market. arXiv admin note: substantial text overlap with arXiv:2402.05967 (see this link to the paper by...
null
null
null
cs.CR cs.LG q-fin.CP q-fin.ST stat.ML
http://creativecommons.org/licenses/by-nc-nd/4.0/
With the growing use of voice-activated systems and speech recognition technologies, the danger of backdoor attacks on audio data has grown significantly. This research looks at a specific type of attack, known as a Stochastic investment-based backdoor attack (MarketBack), in which adversaries strategically manipulat...
[ { "created": "Sat, 15 Jun 2024 19:12:00 GMT", "version": "v1" }, { "created": "Thu, 20 Jun 2024 09:32:49 GMT", "version": "v2" }, { "created": "Fri, 21 Jun 2024 17:42:32 GMT", "version": "v3" } ]
2024-06-25
[ [ "Mengara", "Orson", "" ] ]
With the growing use of voice-activated systems and speech recognition technologies, the danger of backdoor attacks on audio data has grown significantly. This research looks at a specific type of attack, known as a Stochastic investment-based backdoor attack (MarketBack), in which adversaries strategically manipulate ...
2204.00820
Spyros Zoupanos
Spyros Zoupanos, Stratis Kolovos, Athanasios Kanavos, Orestis Papadimitriou, Manolis Maragoudakis
Efficient comparison of sentence embeddings
8 pages, 2 figures
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
The domain of natural language processing (NLP), which has greatly evolved over the last years, has highly benefited from the recent developments in word and sentence embeddings. Such embeddings enable the transformation of complex NLP tasks, like semantic similarity or Question and Answering (Q&A), into much simpler...
[ { "created": "Sat, 2 Apr 2022 09:08:34 GMT", "version": "v1" }, { "created": "Mon, 18 Apr 2022 18:23:58 GMT", "version": "v2" } ]
2022-04-20
[ [ "Zoupanos", "Spyros", "" ], [ "Kolovos", "Stratis", "" ], [ "Kanavos", "Athanasios", "" ], [ "Papadimitriou", "Orestis", "" ], [ "Maragoudakis", "Manolis", "" ] ]
The domain of natural language processing (NLP), which has greatly evolved over the last years, has highly benefited from the recent developments in word and sentence embeddings. Such embeddings enable the transformation of complex NLP tasks, like semantic similarity or Question and Answering (Q&A), into much simpler t...
2103.03583
Wei Zhang
Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang
Graph-Based Tri-Attention Network for Answer Ranking in CQA
9 pages (published in AAAI 2021)
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
In community-based question answering (CQA) platforms, automatic answer ranking for a given question is critical for finding potentially popular answers in early times. The mainstream approaches learn to generate answer ranking scores based on the matching degree between question and answer representations as well as...
[ { "created": "Fri, 5 Mar 2021 10:40:38 GMT", "version": "v1" }, { "created": "Sat, 20 Mar 2021 02:19:55 GMT", "version": "v2" } ]
2021-03-23
[ [ "Zhang", "Wei", "" ], [ "Chen", "Zeyuan", "" ], [ "Dong", "Chao", "" ], [ "Wang", "Wen", "" ], [ "Zha", "Hongyuan", "" ], [ "Wang", "Jianyong", "" ] ]
In community-based question answering (CQA) platforms, automatic answer ranking for a given question is critical for finding potentially popular answers in early times. The mainstream approaches learn to generate answer ranking scores based on the matching degree between question and answer representations as well as t...
1911.05494
Abhijit Suprem
Abhijit Suprem, Aibek Musaev, Calton Pu
Concept Drift Adaptive Physical Event Detection for Social Media Streams
null
Services Congress 2019
null
null
cs.SI cs.CY cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Event detection has long been the domain of physical sensors operating in a static dataset assumption. The prevalence of social media and web access has led to the emergence of social, or human sensors who report on events globally. This warrants development of event detectors that can take advantage of the truly den...
[ { "created": "Tue, 17 Sep 2019 05:15:23 GMT", "version": "v1" } ]
2019-11-14
[ [ "Suprem", "Abhijit", "" ], [ "Musaev", "Aibek", "" ], [ "Pu", "Calton", "" ] ]
Event detection has long been the domain of physical sensors operating in a static dataset assumption. The prevalence of social media and web access has led to the emergence of social, or human sensors who report on events globally. This warrants development of event detectors that can take advantage of the truly dense...
1701.07398
Alon Hazan
Alon Hazan, Yuval Harel and Ron Meir
Learning an attention model in an artificial visual system
null
IEEE International Conference on the Science of Electrical Engineering (ICSEE) (2016)
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Human visual perception of the world is of a large fixed image that is highly detailed and sharp. However, receptor density in the retina is not uniform: a small central region called the fovea is very dense and exhibits high resolution, whereas a peripheral region around it has much lower spatial resolution. Thu...
[ { "created": "Tue, 24 Jan 2017 09:07:59 GMT", "version": "v1" } ]
2017-01-26
[ [ "Hazan", "Alon", "" ], [ "Harel", "Yuval", "" ], [ "Meir", "Ron", "" ] ]
The Human visual perception of the world is of a large fixed image that is highly detailed and sharp. However, receptor density in the retina is not uniform: a small central region called the fovea is very dense and exhibits high resolution, whereas a peripheral region around it has much lower spatial resolution. Thus,...
2308.10696
Mohammed Gharib Dr.
Mohammed Gharib, Fatemeh Afghah
SCC5G: A PQC-based Architecture for Highly Secure Critical Communication over Cellular Network in Zero-Trust Environment
null
null
null
null
cs.NI
http://creativecommons.org/publicdomain/zero/1.0/
5G made a significant jump in cellular network security by offering enhanced subscriber identity protection and a user-network mutual authentication implementation. However, it still does not fully follow the zero-trust (ZT) requirements, as users need to trust the network, 5G network is not necessarily authenticated...
[ { "created": "Mon, 21 Aug 2023 13:04:45 GMT", "version": "v1" } ]
2023-08-22
[ [ "Gharib", "Mohammed", "" ], [ "Afghah", "Fatemeh", "" ] ]
5G made a significant jump in cellular network security by offering enhanced subscriber identity protection and a user-network mutual authentication implementation. However, it still does not fully follow the zero-trust (ZT) requirements, as users need to trust the network, 5G network is not necessarily authenticated i...
2303.00605
Guillaume Sartoretti
Yutong Wang, Bairan Xiang, Shinan Huang, Guillaume Sartoretti
SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding
\c{opyright} 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to se...
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Trading off performance guarantees in favor of scalability, the Multi-Agent Path Finding (MAPF) community has recently started to embrace Multi-Agent Reinforcement Learning (MARL), where agents learn to collaboratively generate individual, collision-free (but often suboptimal) paths. Scalability is usually achieved b...
[ { "created": "Wed, 1 Mar 2023 15:53:59 GMT", "version": "v1" }, { "created": "Thu, 2 Mar 2023 15:08:57 GMT", "version": "v2" }, { "created": "Thu, 31 Aug 2023 09:43:21 GMT", "version": "v3" } ]
2023-09-01
[ [ "Wang", "Yutong", "" ], [ "Xiang", "Bairan", "" ], [ "Huang", "Shinan", "" ], [ "Sartoretti", "Guillaume", "" ] ]
Trading off performance guarantees in favor of scalability, the Multi-Agent Path Finding (MAPF) community has recently started to embrace Multi-Agent Reinforcement Learning (MARL), where agents learn to collaboratively generate individual, collision-free (but often suboptimal) paths. Scalability is usually achieved by ...
2308.15232
Xingyi Song
Tianyu Liang, Yida Mu, Soonho Kim, Darline Larissa Kengne Kuate, Julie Lang, Rob Vos, Xingyi Song
Classification-Aware Neural Topic Model Combined With Interpretable Analysis -- For Conflict Classification
Accepted by RANLP 2023
null
null
null
cs.LG cs.CL cs.IR
http://creativecommons.org/licenses/by/4.0/
A large number of conflict events are affecting the world all the time. In order to analyse such conflict events effectively, this paper presents a Classification-Aware Neural Topic Model (CANTM-IA) for Conflict Information Classification and Topic Discovery. The model provides a reliable interpretation of classifica...
[ { "created": "Tue, 29 Aug 2023 11:40:24 GMT", "version": "v1" } ]
2023-08-30
[ [ "Liang", "Tianyu", "" ], [ "Mu", "Yida", "" ], [ "Kim", "Soonho", "" ], [ "Kuate", "Darline Larissa Kengne", "" ], [ "Lang", "Julie", "" ], [ "Vos", "Rob", "" ], [ "Song", "Xingyi", "" ] ]
A large number of conflict events are affecting the world all the time. In order to analyse such conflict events effectively, this paper presents a Classification-Aware Neural Topic Model (CANTM-IA) for Conflict Information Classification and Topic Discovery. The model provides a reliable interpretation of classificati...
2201.11764
Stefan Hristozov
Stefan Hristozov, Moritz Wettermann, Manuel Huber
A TOCTOU Attack on DICE Attestation
10 pages, 3 figures, to appear at CODASPY'22
null
10.1145/3508398.3511507
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A major security challenge for modern Internet of Things (IoT) deployments is to ensure that the devices run legitimate firmware free from malware. This challenge can be addressed through a security primitive called attestation which allows a remote backend to verify the firmware integrity of the devices it manages. ...
[ { "created": "Thu, 27 Jan 2022 19:05:53 GMT", "version": "v1" } ]
2022-01-31
[ [ "Hristozov", "Stefan", "" ], [ "Wettermann", "Moritz", "" ], [ "Huber", "Manuel", "" ] ]
A major security challenge for modern Internet of Things (IoT) deployments is to ensure that the devices run legitimate firmware free from malware. This challenge can be addressed through a security primitive called attestation which allows a remote backend to verify the firmware integrity of the devices it manages. In...
2212.08983
Alzayat Saleh
Alzayat Saleh, Marcus Sheaves, Dean Jerry, and Mostafa Rahimi Azghadi
Adaptive Uncertainty Distribution in Deep Learning for Unsupervised Underwater Image Enhancement
18 pages, 8 figures, 4 tables
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
One of the main challenges in deep learning-based underwater image enhancement is the limited availability of high-quality training data. Underwater images are difficult to capture and are often of poor quality due to the distortion and loss of colour and contrast in water. This makes it difficult to train supervised...
[ { "created": "Sun, 18 Dec 2022 01:07:20 GMT", "version": "v1" } ]
2022-12-20
[ [ "Saleh", "Alzayat", "" ], [ "Sheaves", "Marcus", "" ], [ "Jerry", "Dean", "" ], [ "Azghadi", "Mostafa Rahimi", "" ] ]
One of the main challenges in deep learning-based underwater image enhancement is the limited availability of high-quality training data. Underwater images are difficult to capture and are often of poor quality due to the distortion and loss of colour and contrast in water. This makes it difficult to train supervised d...
2202.01046
Kevin Haninger
Kevin Haninger, Marcel Radke, Axel Vick, J\"org Kr\"uger
Towards High-Payload Admittance Control for Manual Guidance with Environmental Contact
Accepted at IEEE RA-L
null
10.1109/LRA.2022.3150051
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Force control enables hands-on teaching and physical collaboration, with the potential to improve ergonomics and flexibility of automation. Established methods for the design of compliance, impedance control, and \rev{collision response} can achieve free-space stability and acceptable peak contact force on lightweigh...
[ { "created": "Wed, 2 Feb 2022 14:21:57 GMT", "version": "v1" } ]
2022-02-15
[ [ "Haninger", "Kevin", "" ], [ "Radke", "Marcel", "" ], [ "Vick", "Axel", "" ], [ "Krüger", "Jörg", "" ] ]
Force control enables hands-on teaching and physical collaboration, with the potential to improve ergonomics and flexibility of automation. Established methods for the design of compliance, impedance control, and \rev{collision response} can achieve free-space stability and acceptable peak contact force on lightweight,...
2311.09308
Yuchen Zhou
Yuchen Zhou, Emmy Liu, Graham Neubig, Michael J. Tarr, Leila Wehbe
Divergences between Language Models and Human Brains
null
null
null
null
cs.CL cs.AI cs.LG q-bio.NC
http://creativecommons.org/licenses/by/4.0/
Do machines and humans process language in similar ways? Recent research has hinted in the affirmative, finding that brain signals can be effectively predicted using the internal representations of language models (LMs). Although such results are thought to reflect shared computational principles between LMs and huma...
[ { "created": "Wed, 15 Nov 2023 19:02:40 GMT", "version": "v1" }, { "created": "Mon, 5 Feb 2024 02:21:59 GMT", "version": "v2" } ]
2024-02-06
[ [ "Zhou", "Yuchen", "" ], [ "Liu", "Emmy", "" ], [ "Neubig", "Graham", "" ], [ "Tarr", "Michael J.", "" ], [ "Wehbe", "Leila", "" ] ]
Do machines and humans process language in similar ways? Recent research has hinted in the affirmative, finding that brain signals can be effectively predicted using the internal representations of language models (LMs). Although such results are thought to reflect shared computational principles between LMs and human ...
2405.17838
Keith Burghardt
Keith Burghardt, Daniel M.T. Fessler, Chyna Tang, Anne Pisor, Kristina Lerman
Trust and Terror: Hazards in Text Reveal Negatively Biased Credulity and Partisan Negativity Bias
14 pages, 16 figures
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Socio-linguistic indicators of text, such as emotion or sentiment, are often extracted using neural networks in order to better understand features of social media. One indicator that is often overlooked, however, is the presence of hazards within text. Recent psychological research suggests that statements about haz...
[ { "created": "Tue, 28 May 2024 05:28:49 GMT", "version": "v1" } ]
2024-05-29
[ [ "Burghardt", "Keith", "" ], [ "Fessler", "Daniel M. T.", "" ], [ "Tang", "Chyna", "" ], [ "Pisor", "Anne", "" ], [ "Lerman", "Kristina", "" ] ]
Socio-linguistic indicators of text, such as emotion or sentiment, are often extracted using neural networks in order to better understand features of social media. One indicator that is often overlooked, however, is the presence of hazards within text. Recent psychological research suggests that statements about hazar...
2205.02976
Wei Xie
Hua Zheng, Wei Xie
Variance Reduction based Partial Trajectory Reuse to Accelerate Policy Gradient Optimization
12 pages, 5 figures
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Built on our previous study on green simulation assisted policy gradient (GS-PG) focusing on trajectory-based reuse, in this paper, we consider infinite-horizon Markov Decision Processes and create a new importance sampling based policy gradient optimization approach to support dynamic decision making. The existing G...
[ { "created": "Fri, 6 May 2022 01:42:28 GMT", "version": "v1" }, { "created": "Mon, 20 Jun 2022 19:46:44 GMT", "version": "v2" } ]
2022-06-22
[ [ "Zheng", "Hua", "" ], [ "Xie", "Wei", "" ] ]
Built on our previous study on green simulation assisted policy gradient (GS-PG) focusing on trajectory-based reuse, in this paper, we consider infinite-horizon Markov Decision Processes and create a new importance sampling based policy gradient optimization approach to support dynamic decision making. The existing GS-...
2405.12607
Hao Zhang
Hao Zhang, Fang Li, Samyak Rawlekar, Narendra Ahuja
S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
Accepted by ICML 2024
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reconstructing dynamic articulated objects from a singular monocular video is challenging, requiring joint estimation of shape, motion, and camera parameters from limited views. Current methods typically demand extensive computational resources and training time, and require additional human annotations such as prede...
[ { "created": "Tue, 21 May 2024 09:01:00 GMT", "version": "v1" } ]
2024-05-22
[ [ "Zhang", "Hao", "" ], [ "Li", "Fang", "" ], [ "Rawlekar", "Samyak", "" ], [ "Ahuja", "Narendra", "" ] ]
Reconstructing dynamic articulated objects from a singular monocular video is challenging, requiring joint estimation of shape, motion, and camera parameters from limited views. Current methods typically demand extensive computational resources and training time, and require additional human annotations such as predefi...
2306.14593
Christoph Haase
Andrei Draghici, Christoph Haase, Florin Manea
Sem\"enov Arithmetic, Affine VASS, and String Constraints
19 pages, one figure
null
null
null
cs.LO cs.FL
http://creativecommons.org/licenses/by/4.0/
We study extensions of Sem\"enov arithmetic, the first-order theory of the structure $(\mathbb{N}, +, 2^x)$. It is well-knonw that this theory becomes undecidable when extended with regular predicates over tuples of number strings, such as the B\"uchi $V_2$-predicate. We therefore restrict ourselves to the existentia...
[ { "created": "Mon, 26 Jun 2023 11:05:37 GMT", "version": "v1" } ]
2023-06-27
[ [ "Draghici", "Andrei", "" ], [ "Haase", "Christoph", "" ], [ "Manea", "Florin", "" ] ]
We study extensions of Sem\"enov arithmetic, the first-order theory of the structure $(\mathbb{N}, +, 2^x)$. It is well-knonw that this theory becomes undecidable when extended with regular predicates over tuples of number strings, such as the B\"uchi $V_2$-predicate. We therefore restrict ourselves to the existential ...
2003.06186
Daniel Buschek
Sarah Theres V\"olkel, Ramona Sch\"odel, Daniel Buschek, Clemens Stachl, Verena Winterhalter, Markus B\"uhner, Heinrich Hussmann
Developing a Personality Model for Speech-based Conversational Agents Using the Psycholexical Approach
14 pages, 2 figures, 3 tables, CHI'20
null
10.1145/3313831.3376210
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the first systematic analysis of personality dimensions developed specifically to describe the personality of speech-based conversational agents. Following the psycholexical approach from psychology, we first report on a new multi-method approach to collect potentially descriptive adjectives from 1) a free...
[ { "created": "Fri, 13 Mar 2020 10:19:14 GMT", "version": "v1" } ]
2020-03-16
[ [ "Völkel", "Sarah Theres", "" ], [ "Schödel", "Ramona", "" ], [ "Buschek", "Daniel", "" ], [ "Stachl", "Clemens", "" ], [ "Winterhalter", "Verena", "" ], [ "Bühner", "Markus", "" ], [ "Hussmann", "Heinrich", ...
We present the first systematic analysis of personality dimensions developed specifically to describe the personality of speech-based conversational agents. Following the psycholexical approach from psychology, we first report on a new multi-method approach to collect potentially descriptive adjectives from 1) a free d...
1706.03538
S.M. Zafaruddin
S.M.Zafaruddin, Itsik Bergel and Amir Leshem
Signal Processing for Gigabit-Rate Wireline Communications
20 pages, Accepted for publication in the IEEE Signal Processing Magazine, May 2017
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Signal processing played an important role in improving the quality of communications over copper cables in earlier DSL technologies. Even more powerful signal processing techniques are required to enable a gigabit per second data rate in the upcoming G.fast standard. This new standard is different from its predecess...
[ { "created": "Mon, 12 Jun 2017 09:50:57 GMT", "version": "v1" } ]
2017-06-13
[ [ "Zafaruddin", "S. M.", "" ], [ "Bergel", "Itsik", "" ], [ "Leshem", "Amir", "" ] ]
Signal processing played an important role in improving the quality of communications over copper cables in earlier DSL technologies. Even more powerful signal processing techniques are required to enable a gigabit per second data rate in the upcoming G.fast standard. This new standard is different from its predecessor...
2312.08963
Yuhang Yang
Yuhang Yang, Wei Zhai, Hongchen Luo, Yang Cao, Zheng-Jun Zha
LEMON: Learning 3D Human-Object Interaction Relation from 2D Images
accept by CVPR2024
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning 3D human-object interaction relation is pivotal to embodied AI and interaction modeling. Most existing methods approach the goal by learning to predict isolated interaction elements, e.g., human contact, object affordance, and human-object spatial relation, primarily from the perspective of either the human ...
[ { "created": "Thu, 14 Dec 2023 14:10:57 GMT", "version": "v1" }, { "created": "Sun, 31 Mar 2024 02:18:23 GMT", "version": "v2" } ]
2024-04-02
[ [ "Yang", "Yuhang", "" ], [ "Zhai", "Wei", "" ], [ "Luo", "Hongchen", "" ], [ "Cao", "Yang", "" ], [ "Zha", "Zheng-Jun", "" ] ]
Learning 3D human-object interaction relation is pivotal to embodied AI and interaction modeling. Most existing methods approach the goal by learning to predict isolated interaction elements, e.g., human contact, object affordance, and human-object spatial relation, primarily from the perspective of either the human or...
2204.04584
Minjia Shi
Shitao Li
An improved method for constructing linear codes with small hulls
null
null
null
null
cs.IT cs.CR math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we give a method for constructing linear codes with small hulls by generalizing the method in \cite{LCD-T-matric}. As a result, we obtain many optimal Euclidean LCD codes and Hermitian LCD codes, which improve the previously known lower bound on the largest minimum distance. We also obtain many optimal...
[ { "created": "Sun, 10 Apr 2022 02:51:27 GMT", "version": "v1" } ]
2022-04-12
[ [ "Li", "Shitao", "" ] ]
In this paper, we give a method for constructing linear codes with small hulls by generalizing the method in \cite{LCD-T-matric}. As a result, we obtain many optimal Euclidean LCD codes and Hermitian LCD codes, which improve the previously known lower bound on the largest minimum distance. We also obtain many optimal c...
1811.00804
Sebastian Baltes
Sebastian Baltes, Lorik Dumani, Christoph Treude, and Stephan Diehl
The Evolution of Stack Overflow Posts: Reconstruction and Analysis
43 pages, 17 figures (currently under review)
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Stack Overflow (SO) is the most popular question-and-answer website for software developers, providing a large amount of code snippets and free-form text on a wide variety of topics. Like other software artifacts, questions and answers on SO evolve over time, for example when bugs in code snippets are fixed, code is ...
[ { "created": "Fri, 2 Nov 2018 10:16:58 GMT", "version": "v1" } ]
2018-11-05
[ [ "Baltes", "Sebastian", "" ], [ "Dumani", "Lorik", "" ], [ "Treude", "Christoph", "" ], [ "Diehl", "Stephan", "" ] ]
Stack Overflow (SO) is the most popular question-and-answer website for software developers, providing a large amount of code snippets and free-form text on a wide variety of topics. Like other software artifacts, questions and answers on SO evolve over time, for example when bugs in code snippets are fixed, code is up...
2010.07079
Emily Dinan
Jing Xu, Da Ju, Margaret Li, Y-Lan Boureau, Jason Weston, Emily Dinan
Recipes for Safety in Open-domain Chatbots
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Models trained on large unlabeled corpora of human interactions will learn patterns and mimic behaviors therein, which include offensive or otherwise toxic behavior and unwanted biases. We investigate a variety of methods to mitigate these issues in the context of open-domain generative dialogue models. We introduce ...
[ { "created": "Wed, 14 Oct 2020 13:26:39 GMT", "version": "v1" }, { "created": "Thu, 22 Oct 2020 16:56:50 GMT", "version": "v2" }, { "created": "Wed, 4 Aug 2021 21:33:39 GMT", "version": "v3" } ]
2021-08-06
[ [ "Xu", "Jing", "" ], [ "Ju", "Da", "" ], [ "Li", "Margaret", "" ], [ "Boureau", "Y-Lan", "" ], [ "Weston", "Jason", "" ], [ "Dinan", "Emily", "" ] ]
Models trained on large unlabeled corpora of human interactions will learn patterns and mimic behaviors therein, which include offensive or otherwise toxic behavior and unwanted biases. We investigate a variety of methods to mitigate these issues in the context of open-domain generative dialogue models. We introduce a ...
cs/0007014
Michael J. O'Donnell
Michael J. O'Donnell and Ilia Bisnovatyi
The Sound Manifesto
To appear in the conference on Critical Technologies for the Future of Computing, part of SPIE's International Symposium on Optical Science and Technology, 30 July to 4 August 2000, San Diego, CA
null
10.1117/12.409214
null
cs.SD
null
Computing practice today depends on visual output to drive almost all user interaction. Other senses, such as audition, may be totally neglected, or used tangentially, or used in highly restricted specialized ways. We have excellent audio rendering through D-A conversion, but we lack rich general facilities for model...
[ { "created": "Sun, 9 Jul 2000 00:34:07 GMT", "version": "v1" } ]
2015-06-25
[ [ "O'Donnell", "Michael J.", "" ], [ "Bisnovatyi", "Ilia", "" ] ]
Computing practice today depends on visual output to drive almost all user interaction. Other senses, such as audition, may be totally neglected, or used tangentially, or used in highly restricted specialized ways. We have excellent audio rendering through D-A conversion, but we lack rich general facilities for modelin...
1103.2886
Pavel Sirotkin
Pavel Sirotkin
Predicting User Preferences
null
Information und Wissen: global, sozial und frei? Proceedings des 12. Internationalen Symposiums f\"ur Informationswissenschaft. Joachim Griesbaum, Thomas Mandl, Christa Womser-Hacker (Editors). VWH, Boizenburg, 2011. Pages 24-35
null
null
cs.IR
http://creativecommons.org/licenses/by-nc-sa/3.0/
The many metrics employed for the evaluation of search engine results have not themselves been conclusively evaluated. We propose a new measure for a metric's ability to identify user preference of result lists. Using this measure, we evaluate the metrics Discounted Cumulated Gain, Mean Average Precision and classica...
[ { "created": "Tue, 15 Mar 2011 11:48:30 GMT", "version": "v1" } ]
2011-03-16
[ [ "Sirotkin", "Pavel", "" ] ]
The many metrics employed for the evaluation of search engine results have not themselves been conclusively evaluated. We propose a new measure for a metric's ability to identify user preference of result lists. Using this measure, we evaluate the metrics Discounted Cumulated Gain, Mean Average Precision and classical ...
1904.09471
Haoran Wang
Zhong Ji, Haoran Wang, Jungong Han, Yanwei Pang
Saliency-Guided Attention Network for Image-Sentence Matching
10 pages, 5 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies the task of matching image and sentence, where learning appropriate representations across the multi-modal data appears to be the main challenge. Unlike previous approaches that predominantly deploy symmetrical architecture to represent both modalities, we propose Saliency-guided Attention Network ...
[ { "created": "Sat, 20 Apr 2019 17:27:55 GMT", "version": "v1" }, { "created": "Fri, 18 Oct 2019 04:54:27 GMT", "version": "v2" }, { "created": "Tue, 5 Nov 2019 06:09:34 GMT", "version": "v3" }, { "created": "Fri, 30 Apr 2021 10:19:50 GMT", "version": "v4" } ]
2021-05-03
[ [ "Ji", "Zhong", "" ], [ "Wang", "Haoran", "" ], [ "Han", "Jungong", "" ], [ "Pang", "Yanwei", "" ] ]
This paper studies the task of matching image and sentence, where learning appropriate representations across the multi-modal data appears to be the main challenge. Unlike previous approaches that predominantly deploy symmetrical architecture to represent both modalities, we propose Saliency-guided Attention Network (S...
2210.12920
Lin Zhou
Lina Zhu, Lin Bai, Lin Zhou and Jinho Choi
Efficient User Scheduling for Uplink Hybrid Satellite-Terrestrial Communication
To appear in IEEE Transactions on Wireless Communications
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to increasing demands of seamless connection and massive information exchange across the world, the integrated satellite-terrestrial communication systems develop rapidly. To shed lights on the design of this system, we consider an uplink communication model consisting of a single satellite, a single terrestrial ...
[ { "created": "Mon, 24 Oct 2022 02:15:41 GMT", "version": "v1" } ]
2022-10-25
[ [ "Zhu", "Lina", "" ], [ "Bai", "Lin", "" ], [ "Zhou", "Lin", "" ], [ "Choi", "Jinho", "" ] ]
Due to increasing demands of seamless connection and massive information exchange across the world, the integrated satellite-terrestrial communication systems develop rapidly. To shed lights on the design of this system, we consider an uplink communication model consisting of a single satellite, a single terrestrial st...
2401.12739
Chaolin Tian
Chaolin Tian, Xunyi Jiang, Yurui Huang, Langtian Ma, Yifang Ma
Decoding University Hierarchy and Prestige in China through Domestic Ph.D. Hiring Network
null
null
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The academic job market for fresh Ph.D. students to pursue postdoctoral and junior faculty positions plays a crucial role in shaping the future orientations, developments, and status of the global academic system. In this work, we focus on the domestic Ph.D. hiring network among universities in China by exploring the...
[ { "created": "Tue, 23 Jan 2024 13:15:43 GMT", "version": "v1" } ]
2024-01-24
[ [ "Tian", "Chaolin", "" ], [ "Jiang", "Xunyi", "" ], [ "Huang", "Yurui", "" ], [ "Ma", "Langtian", "" ], [ "Ma", "Yifang", "" ] ]
The academic job market for fresh Ph.D. students to pursue postdoctoral and junior faculty positions plays a crucial role in shaping the future orientations, developments, and status of the global academic system. In this work, we focus on the domestic Ph.D. hiring network among universities in China by exploring the d...
2306.02697
Viktoriia Chekalina
Viktoriia Chekalina, Georgii Novikov, Julia Gusak, Ivan Oseledets, Alexander Panchenko
Efficient GPT Model Pre-training using Tensor Train Matrix Representation
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Large-scale transformer models have shown remarkable performance in language modelling tasks. However, such models feature billions of parameters, leading to difficulties in their deployment and prohibitive training costs from scratch. To reduce the number of the parameters in the GPT-2 architecture, we replace the m...
[ { "created": "Mon, 5 Jun 2023 08:38:25 GMT", "version": "v1" } ]
2023-06-06
[ [ "Chekalina", "Viktoriia", "" ], [ "Novikov", "Georgii", "" ], [ "Gusak", "Julia", "" ], [ "Oseledets", "Ivan", "" ], [ "Panchenko", "Alexander", "" ] ]
Large-scale transformer models have shown remarkable performance in language modelling tasks. However, such models feature billions of parameters, leading to difficulties in their deployment and prohibitive training costs from scratch. To reduce the number of the parameters in the GPT-2 architecture, we replace the mat...
1301.6705
Thomas Hofmann
Thomas Hofmann
Probabilistic Latent Semantic Analysis
Appears in Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI1999)
null
null
UAI-P-1999-PG-289-296
cs.LG cs.IR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Probabilistic Latent Semantic Analysis is a novel statistical technique for the analysis of two-mode and co-occurrence data, which has applications in information retrieval and filtering, natural language processing, machine learning from text, and in related areas. Compared to standard Latent Semantic Analysis which...
[ { "created": "Wed, 23 Jan 2013 15:58:43 GMT", "version": "v1" } ]
2013-01-30
[ [ "Hofmann", "Thomas", "" ] ]
Probabilistic Latent Semantic Analysis is a novel statistical technique for the analysis of two-mode and co-occurrence data, which has applications in information retrieval and filtering, natural language processing, machine learning from text, and in related areas. Compared to standard Latent Semantic Analysis which s...
2110.06530
Jungbeom Lee
Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
NeurIPS 2021
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Weakly supervised semantic segmentation produces pixel-level localization from class labels; however, a classifier trained on such labels is likely to focus on a small discriminative region of the target object. We interpret this phenomenon using the information bottleneck principle: the final layer of a deep neural ...
[ { "created": "Wed, 13 Oct 2021 06:49:45 GMT", "version": "v1" } ]
2021-10-14
[ [ "Lee", "Jungbeom", "" ], [ "Choi", "Jooyoung", "" ], [ "Mok", "Jisoo", "" ], [ "Yoon", "Sungroh", "" ] ]
Weakly supervised semantic segmentation produces pixel-level localization from class labels; however, a classifier trained on such labels is likely to focus on a small discriminative region of the target object. We interpret this phenomenon using the information bottleneck principle: the final layer of a deep neural ne...
1609.02227
Shaoshi Yang Dr.
Linlin Zhao, Xuefen Chi, Shaoshi Yang
Optimal ALOHA-like Random Access with Heterogeneous QoS Guarantees for Multi-Packet Reception Aided Visible Light Communications
13 pages, 9 figures, 3 tables, accepted to appear on IEEE Transactions on Wireless Communications, Sept. 2016
IEEE Transactions on Wireless Communications, vol. 15, no. 11, pp. 7872 - 7884, Nov. 2016
10.1109/TWC.2016.2608956
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There is a paucity of random access protocols designed for alleviating collisions in visible light communication (VLC) systems, where carrier sensing is hard to be achieved due to the directionality of light. To resolve the problem of collisions, we adopt the successive interference cancellation (SIC) algorithm to en...
[ { "created": "Thu, 8 Sep 2016 00:01:15 GMT", "version": "v1" } ]
2017-08-15
[ [ "Zhao", "Linlin", "" ], [ "Chi", "Xuefen", "" ], [ "Yang", "Shaoshi", "" ] ]
There is a paucity of random access protocols designed for alleviating collisions in visible light communication (VLC) systems, where carrier sensing is hard to be achieved due to the directionality of light. To resolve the problem of collisions, we adopt the successive interference cancellation (SIC) algorithm to enab...
2401.13581
Haixin Zhang
Haixin Zhang and Dong Huang
Towards Efficient and Effective Deep Clustering with Dynamic Grouping and Prototype Aggregation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Previous contrastive deep clustering methods mostly focus on instance-level information while overlooking the member relationship within groups/clusters, which may significantly undermine their representation learning and clustering capability. Recently, some group-contrastive methods have been developed, which, howe...
[ { "created": "Wed, 24 Jan 2024 16:45:42 GMT", "version": "v1" } ]
2024-01-25
[ [ "Zhang", "Haixin", "" ], [ "Huang", "Dong", "" ] ]
Previous contrastive deep clustering methods mostly focus on instance-level information while overlooking the member relationship within groups/clusters, which may significantly undermine their representation learning and clustering capability. Recently, some group-contrastive methods have been developed, which, howeve...
2402.08244
Barathi Subramanian
Barathi Subramanian, Rathinaraja Jeyaraj, Rakhmonov Akhrorjon Akhmadjon Ugli, and Jeonghong Kim
APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks
9 pages, 4 figures, Submitted at IJCAI 2024 conference
null
null
null
cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Activation function is a pivotal component of deep learning, facilitating the extraction of intricate data patterns. While classical activation functions like ReLU and its variants are extensively utilized, their static nature and simplicity, despite being advantageous, often limit their effectiveness in specialized ...
[ { "created": "Tue, 13 Feb 2024 06:18:42 GMT", "version": "v1" } ]
2024-02-14
[ [ "Subramanian", "Barathi", "" ], [ "Jeyaraj", "Rathinaraja", "" ], [ "Ugli", "Rakhmonov Akhrorjon Akhmadjon", "" ], [ "Kim", "Jeonghong", "" ] ]
Activation function is a pivotal component of deep learning, facilitating the extraction of intricate data patterns. While classical activation functions like ReLU and its variants are extensively utilized, their static nature and simplicity, despite being advantageous, often limit their effectiveness in specialized ta...
2305.02242
Vasilis Naserentin
Sanjay Somanath, Vasilis Naserentin, Orfeas Eleftheriou, Daniel Sj\"olie, Beata Stahre W\"astberg and Anders Logg
On procedural urban digital twin generation and visualization of large scale data
null
null
null
null
cs.GR
http://creativecommons.org/licenses/by-nc-nd/4.0/
The desired outcome for urban digital twins is an automatically generated detailed 3D model of a building from aerial imagery, footprints, LiDAR, or a fusion of these. Such 3D models have applications in architecture, civil engineering, urban planning, construction, real estate, GIS, and many others. Further, the vis...
[ { "created": "Wed, 3 May 2023 16:20:47 GMT", "version": "v1" } ]
2023-05-04
[ [ "Somanath", "Sanjay", "" ], [ "Naserentin", "Vasilis", "" ], [ "Eleftheriou", "Orfeas", "" ], [ "Sjölie", "Daniel", "" ], [ "Wästberg", "Beata Stahre", "" ], [ "Logg", "Anders", "" ] ]
The desired outcome for urban digital twins is an automatically generated detailed 3D model of a building from aerial imagery, footprints, LiDAR, or a fusion of these. Such 3D models have applications in architecture, civil engineering, urban planning, construction, real estate, GIS, and many others. Further, the visua...
2207.07949
Jakub Tetek
Christoph Grunau, Ahmet Alper \"Oz\"udo\u{g}ru, V\'aclav Rozho\v{n}, Jakub T\v{e}tek
A Nearly Tight Analysis of Greedy k-means++
null
null
null
null
cs.DS cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The famous $k$-means++ algorithm of Arthur and Vassilvitskii [SODA 2007] is the most popular way of solving the $k$-means problem in practice. The algorithm is very simple: it samples the first center uniformly at random and each of the following $k-1$ centers is then always sampled proportional to its squared distan...
[ { "created": "Sat, 16 Jul 2022 13:49:07 GMT", "version": "v1" } ]
2022-07-19
[ [ "Grunau", "Christoph", "" ], [ "Özüdoğru", "Ahmet Alper", "" ], [ "Rozhoň", "Václav", "" ], [ "Tětek", "Jakub", "" ] ]
The famous $k$-means++ algorithm of Arthur and Vassilvitskii [SODA 2007] is the most popular way of solving the $k$-means problem in practice. The algorithm is very simple: it samples the first center uniformly at random and each of the following $k-1$ centers is then always sampled proportional to its squared distance...
2002.07153
Yulin Zhang
Yulin Zhang and Dylan A. Shell
Cover Combinatorial Filters and their Minimization Problem (Extended Version)
20 pages, 9 figures, WAFR 2020
null
null
null
cs.DM cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent research has examined algorithms to minimize robots' resource footprints. The class of combinatorial filters (discrete variants of widely-used probabilistic estimators) has been studied and methods for reducing their space requirements introduced. This paper extends existing combinatorial filters by introducin...
[ { "created": "Sat, 15 Feb 2020 23:10:03 GMT", "version": "v1" }, { "created": "Fri, 15 May 2020 03:12:42 GMT", "version": "v2" }, { "created": "Sun, 12 Jul 2020 22:05:34 GMT", "version": "v3" }, { "created": "Fri, 28 Jan 2022 20:29:26 GMT", "version": "v4" } ]
2022-02-01
[ [ "Zhang", "Yulin", "" ], [ "Shell", "Dylan A.", "" ] ]
Recent research has examined algorithms to minimize robots' resource footprints. The class of combinatorial filters (discrete variants of widely-used probabilistic estimators) has been studied and methods for reducing their space requirements introduced. This paper extends existing combinatorial filters by introducing ...
1711.10688
Yong Man Ro
Seong Tae Kim and Yong Man Ro
Facial Dynamics Interpreter Network: What are the Important Relations between Local Dynamics for Facial Trait Estimation?
Accepted by ECCV2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human face analysis is an important task in computer vision. According to cognitive-psychological studies, facial dynamics could provide crucial cues for face analysis. The motion of a facial local region in facial expression is related to the motion of other facial local regions. In this paper, a novel deep learning...
[ { "created": "Wed, 29 Nov 2017 05:44:18 GMT", "version": "v1" }, { "created": "Tue, 24 Jul 2018 05:25:40 GMT", "version": "v2" } ]
2018-07-25
[ [ "Kim", "Seong Tae", "" ], [ "Ro", "Yong Man", "" ] ]
Human face analysis is an important task in computer vision. According to cognitive-psychological studies, facial dynamics could provide crucial cues for face analysis. The motion of a facial local region in facial expression is related to the motion of other facial local regions. In this paper, a novel deep learning a...
2212.06891
Yigit Efe Erginbas
Yigit Efe Erginbas, Soham Phade, Kannan Ramchandran
Interactive Learning with Pricing for Optimal and Stable Allocations in Markets
arXiv admin note: substantial text overlap with arXiv:2207.04143
null
null
null
cs.LG cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large-scale online recommendation systems must facilitate the allocation of a limited number of items among competing users while learning their preferences from user feedback. As a principled way of incorporating market constraints and user incentives in the design, we consider our objectives to be two-fold: maximal...
[ { "created": "Tue, 13 Dec 2022 20:33:54 GMT", "version": "v1" } ]
2022-12-15
[ [ "Erginbas", "Yigit Efe", "" ], [ "Phade", "Soham", "" ], [ "Ramchandran", "Kannan", "" ] ]
Large-scale online recommendation systems must facilitate the allocation of a limited number of items among competing users while learning their preferences from user feedback. As a principled way of incorporating market constraints and user incentives in the design, we consider our objectives to be two-fold: maximal s...
2401.04051
Cyril Gorlla
Nigel Doering, Cyril Gorlla, Trevor Tuttle, Adhvaith Vijay
Empirical Analysis of Efficient Fine-Tuning Methods for Large Pre-Trained Language Models
null
null
null
null
cs.LG cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fine-tuning large pre-trained language models for downstream tasks remains a critical challenge in natural language processing. This paper presents an empirical analysis comparing two efficient fine-tuning methods - BitFit and adapter modules - to standard full model fine-tuning. Experiments conducted on GLUE benchma...
[ { "created": "Mon, 8 Jan 2024 17:44:43 GMT", "version": "v1" } ]
2024-01-09
[ [ "Doering", "Nigel", "" ], [ "Gorlla", "Cyril", "" ], [ "Tuttle", "Trevor", "" ], [ "Vijay", "Adhvaith", "" ] ]
Fine-tuning large pre-trained language models for downstream tasks remains a critical challenge in natural language processing. This paper presents an empirical analysis comparing two efficient fine-tuning methods - BitFit and adapter modules - to standard full model fine-tuning. Experiments conducted on GLUE benchmark...
2407.20571
Junran Yang
Junran Yang, Andrew McNutt, Leilani Battle
Considering Visualization Example Galleries
null
null
null
null
cs.HC cs.SE
http://creativecommons.org/licenses/by/4.0/
Example galleries are often used to teach, document, and advertise visually-focused domain-specific languages and libraries, such as those producing visualizations, diagrams, or webpages. Despite their ubiquity, there is no consensus on the role of "example galleries", let alone what the best practices might be for t...
[ { "created": "Tue, 30 Jul 2024 05:59:45 GMT", "version": "v1" } ]
2024-07-31
[ [ "Yang", "Junran", "" ], [ "McNutt", "Andrew", "" ], [ "Battle", "Leilani", "" ] ]
Example galleries are often used to teach, document, and advertise visually-focused domain-specific languages and libraries, such as those producing visualizations, diagrams, or webpages. Despite their ubiquity, there is no consensus on the role of "example galleries", let alone what the best practices might be for the...
2201.06499
Vladimir Kokh
Pavel Blinov, Arina Reshetnikova, Aleksandr Nesterov, Galina Zubkova, Vladimir Kokh
RuMedBench: A Russian Medical Language Understanding Benchmark
11 pages, code available at this https URL; Published in the proceedings of 20th International Conference on Artificial Intelligence in Medicine, Halifax, Canada; code available at https://github.com/pavel-blinov/RuMedBench
null
10.1007/978-3-031-09342-5_38
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The paper describes the open Russian medical language understanding benchmark covering several task types (classification, question answering, natural language inference, named entity recognition) on a number of novel text sets. Given the sensitive nature of the data in healthcare, such a benchmark partially closes t...
[ { "created": "Mon, 17 Jan 2022 16:23:33 GMT", "version": "v1" }, { "created": "Tue, 24 May 2022 12:39:23 GMT", "version": "v2" } ]
2022-07-14
[ [ "Blinov", "Pavel", "" ], [ "Reshetnikova", "Arina", "" ], [ "Nesterov", "Aleksandr", "" ], [ "Zubkova", "Galina", "" ], [ "Kokh", "Vladimir", "" ] ]
The paper describes the open Russian medical language understanding benchmark covering several task types (classification, question answering, natural language inference, named entity recognition) on a number of novel text sets. Given the sensitive nature of the data in healthcare, such a benchmark partially closes the...
1503.07989
Naveed Akhtar Mr.
Naveed Akhtar, Faisal Shafait, Ajmal Mian
Discriminative Bayesian Dictionary Learning for Classification
15 pages
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a Bayesian approach to learn discriminative dictionaries for sparse representation of data. The proposed approach infers probability distributions over the atoms of a discriminative dictionary using a Beta Process. It also computes sets of Bernoulli distributions that associate class labels to the learned ...
[ { "created": "Fri, 27 Mar 2015 08:36:15 GMT", "version": "v1" } ]
2015-03-30
[ [ "Akhtar", "Naveed", "" ], [ "Shafait", "Faisal", "" ], [ "Mian", "Ajmal", "" ] ]
We propose a Bayesian approach to learn discriminative dictionaries for sparse representation of data. The proposed approach infers probability distributions over the atoms of a discriminative dictionary using a Beta Process. It also computes sets of Bernoulli distributions that associate class labels to the learned di...
2108.11199
Yaroslav Golubev
Oleg Smirnov, Artyom Lobanov, Yaroslav Golubev, Elena Tikhomirova, Timofey Bryksin
Revizor: A Data-Driven Approach to Automate Frequent Code Changes Based on Graph Matching
5 pages, 3 figures
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many code changes that developers make in their projects are repeated and constitute recurrent change patterns. It is of interest to collect such patterns from the version history of open-source repositories and suggest the most useful of them as quick fixes. In this paper, we present Revizor - a tool aimed to build ...
[ { "created": "Wed, 25 Aug 2021 12:29:59 GMT", "version": "v1" } ]
2021-08-26
[ [ "Smirnov", "Oleg", "" ], [ "Lobanov", "Artyom", "" ], [ "Golubev", "Yaroslav", "" ], [ "Tikhomirova", "Elena", "" ], [ "Bryksin", "Timofey", "" ] ]
Many code changes that developers make in their projects are repeated and constitute recurrent change patterns. It is of interest to collect such patterns from the version history of open-source repositories and suggest the most useful of them as quick fixes. In this paper, we present Revizor - a tool aimed to build cu...
2310.14092
Yiqing Xu
Yuwei Zeng, Yiqing Xu
Learning Reward for Physical Skills using Large Language Model
CoRL 2023, LangRob workshop
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning reward functions for physical skills are challenging due to the vast spectrum of skills, the high-dimensionality of state and action space, and nuanced sensory feedback. The complexity of these tasks makes acquiring expert demonstration data both costly and time-consuming. Large Language Models (LLMs) contai...
[ { "created": "Sat, 21 Oct 2023 19:10:06 GMT", "version": "v1" } ]
2023-10-24
[ [ "Zeng", "Yuwei", "" ], [ "Xu", "Yiqing", "" ] ]
Learning reward functions for physical skills are challenging due to the vast spectrum of skills, the high-dimensionality of state and action space, and nuanced sensory feedback. The complexity of these tasks makes acquiring expert demonstration data both costly and time-consuming. Large Language Models (LLMs) contain ...
1306.4672
Tirtharaj Dash
Tirtharaj Dash, Goutam Mishra, Tanistha Nayak
A Novel Approach for Intelligent Robot Path Planning
appeared in: Proceedings of National Conference on Artificial Intelligence, Robotics and Embedded Systems (AIRES) - 2012, Andhra University, Visakhapatnam (29-30 June, 2012), pp. 388-391
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Path planning of Robot is one of the challenging fields in the area of Robotics research. In this paper, we proposed a novel algorithm to find path between starting and ending position for an intelligent system. An intelligent system is considered to be a device/robot having an antenna connected with sensor-detector ...
[ { "created": "Wed, 19 Jun 2013 17:37:08 GMT", "version": "v1" } ]
2013-06-21
[ [ "Dash", "Tirtharaj", "" ], [ "Mishra", "Goutam", "" ], [ "Nayak", "Tanistha", "" ] ]
Path planning of Robot is one of the challenging fields in the area of Robotics research. In this paper, we proposed a novel algorithm to find path between starting and ending position for an intelligent system. An intelligent system is considered to be a device/robot having an antenna connected with sensor-detector sy...
1601.00524
Vadim Tropashko
Vadim Tropashko
Ideal Databases
Amended the introduction; added CoCoA section
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
From algebraic geometry perspective database relations are succinctly defined as Finite Varieties. After establishing basic framework, we give analytic proof of Heath theorem from Database Dependency theory. Next, we leverage Algebra/Geometry dictionary and focus on algebraic counterparts of finite varieties, polynom...
[ { "created": "Wed, 30 Dec 2015 22:45:56 GMT", "version": "v1" }, { "created": "Tue, 12 Dec 2017 18:24:33 GMT", "version": "v2" } ]
2017-12-13
[ [ "Tropashko", "Vadim", "" ] ]
From algebraic geometry perspective database relations are succinctly defined as Finite Varieties. After establishing basic framework, we give analytic proof of Heath theorem from Database Dependency theory. Next, we leverage Algebra/Geometry dictionary and focus on algebraic counterparts of finite varieties, polynomia...
2202.12186
Gabriel Borrageiro Mr
Gabriel Borrageiro
Sequential asset ranking in nonstationary time series
null
null
10.1145/3533271.3561666
null
cs.CE cs.LG q-fin.TR
http://creativecommons.org/licenses/by/4.0/
We create a ranking algorithm, the naive Bayes asset ranker. Our algorithm computes the posterior probability that individual assets will be ranked higher than other portfolio constituents. Unlike earlier algorithms, such as the weighted majority, our algorithm allows poor-performing experts to have increased weight ...
[ { "created": "Thu, 24 Feb 2022 16:39:30 GMT", "version": "v1" }, { "created": "Sat, 11 Jun 2022 11:23:02 GMT", "version": "v2" }, { "created": "Fri, 28 Oct 2022 07:24:39 GMT", "version": "v3" } ]
2022-10-31
[ [ "Borrageiro", "Gabriel", "" ] ]
We create a ranking algorithm, the naive Bayes asset ranker. Our algorithm computes the posterior probability that individual assets will be ranked higher than other portfolio constituents. Unlike earlier algorithms, such as the weighted majority, our algorithm allows poor-performing experts to have increased weight wh...
1006.4568
William Jackson
Hui Hui Wang, Dzulkifli Mohamad and N. A. Ismail
Approaches, Challenges and Future Direction of Image Retrieval
IEEE Publication Format, https://sites.google.com/site/journalofcomputing/
Journal of Computing, Vol. 2, No. 6, June 2010, NY, USA, ISSN 2151-9617
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper attempts to discuss the evolution of the retrieval approaches focusing on development, challenges and future direction of the image retrieval. It highlights both the already addressed and outstanding issues. The explosive growth of image data leads to the need of research and development of Image Retrieval...
[ { "created": "Wed, 23 Jun 2010 15:21:11 GMT", "version": "v1" } ]
2010-06-24
[ [ "Wang", "Hui Hui", "" ], [ "Mohamad", "Dzulkifli", "" ], [ "Ismail", "N. A.", "" ] ]
This paper attempts to discuss the evolution of the retrieval approaches focusing on development, challenges and future direction of the image retrieval. It highlights both the already addressed and outstanding issues. The explosive growth of image data leads to the need of research and development of Image Retrieval. ...
2406.03836
Chen Chen
Bing Huang, Chen Chen, Kwok-Yan Lam, Fuqun Huang
Proactive Detection of Physical Inter-rule Vulnerabilities in IoT Services Using a Deep Learning Approach
Accepted by IEEE ICWS 2024 Workshop
null
null
null
cs.CR cs.AI
http://creativecommons.org/licenses/by/4.0/
Emerging Internet of Things (IoT) platforms provide sophisticated capabilities to automate IoT services by enabling occupants to create trigger-action rules. Multiple trigger-action rules can physically interact with each other via shared environment channels, such as temperature, humidity, and illumination. We refer...
[ { "created": "Thu, 6 Jun 2024 08:13:02 GMT", "version": "v1" } ]
2024-06-07
[ [ "Huang", "Bing", "" ], [ "Chen", "Chen", "" ], [ "Lam", "Kwok-Yan", "" ], [ "Huang", "Fuqun", "" ] ]
Emerging Internet of Things (IoT) platforms provide sophisticated capabilities to automate IoT services by enabling occupants to create trigger-action rules. Multiple trigger-action rules can physically interact with each other via shared environment channels, such as temperature, humidity, and illumination. We refer t...
2104.01929
Nik Sultana
Andr\'e DeHon, Hans Giesen, Nik Sultana, Yuanlong Xiao
Meta-level issues in Offloading: Scoping, Composition, Development, and their Automation
null
null
null
null
cs.DC cs.AR cs.NI cs.SE
http://creativecommons.org/licenses/by-nc-nd/4.0/
This paper argues for an accelerator development toolchain that takes into account the whole system containing the accelerator. With whole-system visibility, the toolchain can better assist accelerator scoping and composition in the context of the expected workloads and intended performance objectives. Despite being ...
[ { "created": "Mon, 5 Apr 2021 14:16:54 GMT", "version": "v1" } ]
2021-04-06
[ [ "DeHon", "André", "" ], [ "Giesen", "Hans", "" ], [ "Sultana", "Nik", "" ], [ "Xiao", "Yuanlong", "" ] ]
This paper argues for an accelerator development toolchain that takes into account the whole system containing the accelerator. With whole-system visibility, the toolchain can better assist accelerator scoping and composition in the context of the expected workloads and intended performance objectives. Despite being fo...
2202.02817
Debayan Gupta
Arup Mondal, Harpreet Virk, Debayan Gupta
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning
The Third AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22) at the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22)
null
null
null
cs.CR cs.LG
http://creativecommons.org/licenses/by/4.0/
Federated Learning (FL) enables multiple parties to distributively train a ML model without revealing their private datasets. However, it assumes trust in the centralized aggregator which stores and aggregates model updates. This makes it prone to gradient tampering and privacy leakage by a malicious aggregator. Mali...
[ { "created": "Sun, 6 Feb 2022 17:11:14 GMT", "version": "v1" } ]
2022-02-08
[ [ "Mondal", "Arup", "" ], [ "Virk", "Harpreet", "" ], [ "Gupta", "Debayan", "" ] ]
Federated Learning (FL) enables multiple parties to distributively train a ML model without revealing their private datasets. However, it assumes trust in the centralized aggregator which stores and aggregates model updates. This makes it prone to gradient tampering and privacy leakage by a malicious aggregator. Malici...
1802.05190
Yuxin Chen
Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners
NeurIPS 2018 (extended version)
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In real-world applications of education, an effective teacher adaptively chooses the next example to teach based on the learner's current state. However, most existing work in algorithmic machine teaching focuses on the batch setting, where adaptivity plays no role. In this paper, we study the case of teaching consis...
[ { "created": "Wed, 14 Feb 2018 16:27:30 GMT", "version": "v1" }, { "created": "Mon, 21 May 2018 16:56:45 GMT", "version": "v2" }, { "created": "Sun, 9 Dec 2018 02:11:03 GMT", "version": "v3" } ]
2018-12-11
[ [ "Chen", "Yuxin", "" ], [ "Singla", "Adish", "" ], [ "Mac Aodha", "Oisin", "" ], [ "Perona", "Pietro", "" ], [ "Yue", "Yisong", "" ] ]
In real-world applications of education, an effective teacher adaptively chooses the next example to teach based on the learner's current state. However, most existing work in algorithmic machine teaching focuses on the batch setting, where adaptivity plays no role. In this paper, we study the case of teaching consiste...
2204.10176
Zijian Jin
Zijian Jin, Xingyu Zhang, Mo Yu, Lifu Huang
Probing Script Knowledge from Pre-Trained Models
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Script knowledge is critical for humans to understand the broad daily tasks and routine activities in the world. Recently researchers have explored the large-scale pre-trained language models (PLMs) to perform various script related tasks, such as story generation, temporal ordering of event, future event prediction ...
[ { "created": "Sat, 16 Apr 2022 05:13:39 GMT", "version": "v1" } ]
2022-04-22
[ [ "Jin", "Zijian", "" ], [ "Zhang", "Xingyu", "" ], [ "Yu", "Mo", "" ], [ "Huang", "Lifu", "" ] ]
Script knowledge is critical for humans to understand the broad daily tasks and routine activities in the world. Recently researchers have explored the large-scale pre-trained language models (PLMs) to perform various script related tasks, such as story generation, temporal ordering of event, future event prediction an...
2209.12038
Alessandro Fornasier
Alessandro Fornasier, Yonhon Ng, Christian Brommer, Christoph B\"ohm, Robert Mahony and Stephan Weiss
Overcoming Bias: Equivariant Filter Design for Biased Attitude Estimation with Online Calibration
to be published in Robotics and Automation Letters
null
10.1109/LRA.2022.3210867
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Stochastic filters for on-line state estimation are a core technology for autonomous systems. The performance of such filters is one of the key limiting factors to a system's capability. Both asymptotic behavior (e.g.,~for regular operation) and transient response (e.g.,~for fast initialization and reset) of such fil...
[ { "created": "Sat, 24 Sep 2022 15:47:38 GMT", "version": "v1" } ]
2023-04-03
[ [ "Fornasier", "Alessandro", "" ], [ "Ng", "Yonhon", "" ], [ "Brommer", "Christian", "" ], [ "Böhm", "Christoph", "" ], [ "Mahony", "Robert", "" ], [ "Weiss", "Stephan", "" ] ]
Stochastic filters for on-line state estimation are a core technology for autonomous systems. The performance of such filters is one of the key limiting factors to a system's capability. Both asymptotic behavior (e.g.,~for regular operation) and transient response (e.g.,~for fast initialization and reset) of such filte...
1110.5246
Igor V. Lerner
A. S. Stepanenko, I. V. Yurkevich, C. C. Constantinou and I. V. Lerner
Fluctuation-induced traffic congestion in heterogeneous networks
4 pages, 3 figures
null
10.1209/0295-5075/100/36002
null
cs.NI cond-mat.stat-mech physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In studies of complex heterogeneous networks, particularly of the Internet, significant attention was paid to analyzing network failures caused by hardware faults or overload, where the network reaction was modeled as rerouting of traffic away from failed or congested elements. Here we model another type of the netwo...
[ { "created": "Fri, 21 Oct 2011 18:17:19 GMT", "version": "v1" } ]
2015-05-30
[ [ "Stepanenko", "A. S.", "" ], [ "Yurkevich", "I. V.", "" ], [ "Constantinou", "C. C.", "" ], [ "Lerner", "I. V.", "" ] ]
In studies of complex heterogeneous networks, particularly of the Internet, significant attention was paid to analyzing network failures caused by hardware faults or overload, where the network reaction was modeled as rerouting of traffic away from failed or congested elements. Here we model another type of the network...
2111.10268
Duy Nhat Phan
Thuy Ngoc Nguyen and Duy Nhat Phan and Cleotilde Gonzalez
SpeedyIBL: A Comprehensive, Precise, and Fast Implementation of Instance-Based Learning Theory
null
null
null
null
cs.IR cs.MA
http://creativecommons.org/licenses/by/4.0/
Instance-Based Learning Theory (IBLT) is a comprehensive account of how humans make decisions from experience during dynamic tasks. Since it was first proposed almost two decades ago, multiple computational models have been constructed based on IBLT (i.e., IBL models). These models have been demonstrated to be very s...
[ { "created": "Fri, 19 Nov 2021 15:18:00 GMT", "version": "v1" }, { "created": "Tue, 5 Apr 2022 13:53:15 GMT", "version": "v2" } ]
2022-04-06
[ [ "Nguyen", "Thuy Ngoc", "" ], [ "Phan", "Duy Nhat", "" ], [ "Gonzalez", "Cleotilde", "" ] ]
Instance-Based Learning Theory (IBLT) is a comprehensive account of how humans make decisions from experience during dynamic tasks. Since it was first proposed almost two decades ago, multiple computational models have been constructed based on IBLT (i.e., IBL models). These models have been demonstrated to be very suc...
2407.15820
Randy Lefebvre
Randy Lefebvre, Audrey Durand
On shallow planning under partial observability
Presented at deployable RL (RLC conference 2024)
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Formulating a real-world problem under the Reinforcement Learning framework involves non-trivial design choices, such as selecting a discount factor for the learning objective (discounted cumulative rewards), which articulates the planning horizon of the agent. This work investigates the impact of the discount factor...
[ { "created": "Mon, 22 Jul 2024 17:34:07 GMT", "version": "v1" } ]
2024-07-23
[ [ "Lefebvre", "Randy", "" ], [ "Durand", "Audrey", "" ] ]
Formulating a real-world problem under the Reinforcement Learning framework involves non-trivial design choices, such as selecting a discount factor for the learning objective (discounted cumulative rewards), which articulates the planning horizon of the agent. This work investigates the impact of the discount factor o...
1904.05202
Tamara Radivilova A
Yousef Daradkeh Eid Mubarak, Lyudmyla Kirichenko and Tamara Radivilova
Development of QoS methods in the information networks with fractal traffic
6
Intl. Journal of Electronics and Telecommunications, 2018, Vol. 64, No. 1, pp. 27-32
10.24425/118142
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The paper discusses actual task of ensuring the quality of services in information networks with fractal traffic. The generalized approach to traffic management and quality of service based on the account of multifractal properties of the network traffic is proposed. To describe the multifractal traffic properties, i...
[ { "created": "Wed, 10 Apr 2019 14:13:02 GMT", "version": "v1" } ]
2019-04-11
[ [ "Mubarak", "Yousef Daradkeh Eid", "" ], [ "Kirichenko", "Lyudmyla", "" ], [ "Radivilova", "Tamara", "" ] ]
The paper discusses actual task of ensuring the quality of services in information networks with fractal traffic. The generalized approach to traffic management and quality of service based on the account of multifractal properties of the network traffic is proposed. To describe the multifractal traffic properties, it ...
2407.03790
Agnia Sergeyuk
Agnia Sergeyuk, Olga Lvova, Sergey Titov, Anastasiia Serova, Farid Bagirov, Timofey Bryksin
Assessing Consensus of Developers' Views on Code Readability
8 pages, 1 figure, accepted to be presented at the PPIG'24 workshop
null
null
null
cs.SE cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rapid rise of Large Language Models (LLMs) has changed software development, with tools like Copilot, JetBrains AI Assistant, and others boosting developers' productivity. However, developers now spend more time reviewing code than writing it, highlighting the importance of Code Readability for code comprehension...
[ { "created": "Thu, 4 Jul 2024 09:54:42 GMT", "version": "v1" } ]
2024-07-08
[ [ "Sergeyuk", "Agnia", "" ], [ "Lvova", "Olga", "" ], [ "Titov", "Sergey", "" ], [ "Serova", "Anastasiia", "" ], [ "Bagirov", "Farid", "" ], [ "Bryksin", "Timofey", "" ] ]
The rapid rise of Large Language Models (LLMs) has changed software development, with tools like Copilot, JetBrains AI Assistant, and others boosting developers' productivity. However, developers now spend more time reviewing code than writing it, highlighting the importance of Code Readability for code comprehension. ...
2107.01733
Anish Bhattacharya
Anish Bhattacharya
Toward Increased Airspace Safety: Quadrotor Guidance for Targeting Aerial Objects
58 pages, 33 figures, 2 tables. Thesis towards a Master of Science in Robotics, CMU
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As the market for commercially available unmanned aerial vehicles (UAVs) booms, there is an increasing number of small, teleoperated or autonomous aircraft found in protected or sensitive airspace. Existing solutions for removal of these aircraft are either military-grade and too disruptive for domestic use, or compo...
[ { "created": "Sun, 4 Jul 2021 21:08:32 GMT", "version": "v1" } ]
2021-07-06
[ [ "Bhattacharya", "Anish", "" ] ]
As the market for commercially available unmanned aerial vehicles (UAVs) booms, there is an increasing number of small, teleoperated or autonomous aircraft found in protected or sensitive airspace. Existing solutions for removal of these aircraft are either military-grade and too disruptive for domestic use, or compose...
1812.01360
Mathieu Carri\`ere
Mathieu Carriere and Raul Rabadan
Topological Data Analysis of Single-cell Hi-C Contact Maps
null
null
null
null
cs.CG math.AT q-bio.GN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this article, we show how the recent statistical techniques developed in Topological Data Analysis for the Mapper algorithm can be extended and leveraged to formally define and statistically quantify the presence of topological structures coming from biological phenomena in datasets of CCC contact maps.
[ { "created": "Tue, 4 Dec 2018 12:13:05 GMT", "version": "v1" } ]
2018-12-05
[ [ "Carriere", "Mathieu", "" ], [ "Rabadan", "Raul", "" ] ]
In this article, we show how the recent statistical techniques developed in Topological Data Analysis for the Mapper algorithm can be extended and leveraged to formally define and statistically quantify the presence of topological structures coming from biological phenomena in datasets of CCC contact maps.
2206.01543
Arthur Bra\v{z}inskas
Reinald Kim Amplayo, Arthur Bra\v{z}inskas, Yoshi Suhara, Xiaolan Wang, Bing Liu
Beyond Opinion Mining: Summarizing Opinions of Customer Reviews
SIGIR Tutorial 2022
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Customer reviews are vital for making purchasing decisions in the Information Age. Such reviews can be automatically summarized to provide the user with an overview of opinions. In this tutorial, we present various aspects of opinion summarization that are useful for researchers and practitioners. First, we will intr...
[ { "created": "Fri, 3 Jun 2022 12:43:40 GMT", "version": "v1" } ]
2022-06-06
[ [ "Amplayo", "Reinald Kim", "" ], [ "Bražinskas", "Arthur", "" ], [ "Suhara", "Yoshi", "" ], [ "Wang", "Xiaolan", "" ], [ "Liu", "Bing", "" ] ]
Customer reviews are vital for making purchasing decisions in the Information Age. Such reviews can be automatically summarized to provide the user with an overview of opinions. In this tutorial, we present various aspects of opinion summarization that are useful for researchers and practitioners. First, we will introd...
1601.04251
Giulia Prando
Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
On-line Bayesian System Identification
null
null
null
null
cs.SY cs.LG stat.AP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider an on-line system identification setting, in which new data become available at given time steps. In order to meet real-time estimation requirements, we propose a tailored Bayesian system identification procedure, in which the hyper-parameters are still updated through Marginal Likelihood maximization, bu...
[ { "created": "Sun, 17 Jan 2016 05:20:19 GMT", "version": "v1" } ]
2016-01-19
[ [ "Romeres", "Diego", "" ], [ "Prando", "Giulia", "" ], [ "Pillonetto", "Gianluigi", "" ], [ "Chiuso", "Alessandro", "" ] ]
We consider an on-line system identification setting, in which new data become available at given time steps. In order to meet real-time estimation requirements, we propose a tailored Bayesian system identification procedure, in which the hyper-parameters are still updated through Marginal Likelihood maximization, but ...
1908.02408
Sumit Mandal
Sumit K. Mandal, Raid Ayoub, Michael Kishinevsky, Umit Y. Ogras
Analytical Performance Models for NoCs with Multiple Priority Traffic Classes
This article will appear as part of the ESWEEK-TECS special issue and will be presented in the International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES) 2019
null
null
null
cs.PF cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Networks-on-chip (NoCs) have become the standard for interconnect solutions in industrial designs ranging from client CPUs to many-core chip-multiprocessors. Since NoCs play a vital role in system performance and power consumption, pre-silicon evaluation environments include cycle-accurate NoC simulators. Long simula...
[ { "created": "Wed, 7 Aug 2019 00:26:49 GMT", "version": "v1" }, { "created": "Sat, 4 Jan 2020 04:38:53 GMT", "version": "v2" } ]
2020-01-07
[ [ "Mandal", "Sumit K.", "" ], [ "Ayoub", "Raid", "" ], [ "Kishinevsky", "Michael", "" ], [ "Ogras", "Umit Y.", "" ] ]
Networks-on-chip (NoCs) have become the standard for interconnect solutions in industrial designs ranging from client CPUs to many-core chip-multiprocessors. Since NoCs play a vital role in system performance and power consumption, pre-silicon evaluation environments include cycle-accurate NoC simulators. Long simulati...
2306.00416
Yi Shi
Yi Shi and Jingbo Wang and Xuekun Jiang and Bingkun Lin and Bo Dai and Xue Bin Peng
Interactive Character Control with Auto-Regressive Motion Diffusion Models
null
null
null
null
cs.CV cs.AI cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Real-time character control is an essential component for interactive experiences, with a broad range of applications, including physics simulations, video games, and virtual reality. The success of diffusion models for image synthesis has led to the use of these models for motion synthesis. However, the majority of ...
[ { "created": "Thu, 1 Jun 2023 07:48:34 GMT", "version": "v1" }, { "created": "Sat, 13 Jul 2024 09:52:34 GMT", "version": "v2" }, { "created": "Thu, 15 Aug 2024 05:56:32 GMT", "version": "v3" } ]
2024-08-16
[ [ "Shi", "Yi", "" ], [ "Wang", "Jingbo", "" ], [ "Jiang", "Xuekun", "" ], [ "Lin", "Bingkun", "" ], [ "Dai", "Bo", "" ], [ "Peng", "Xue Bin", "" ] ]
Real-time character control is an essential component for interactive experiences, with a broad range of applications, including physics simulations, video games, and virtual reality. The success of diffusion models for image synthesis has led to the use of these models for motion synthesis. However, the majority of th...
1911.12604
Patrick Peltzer
Patrick Peltzer, Johannes Lotz, Uwe Naumann
Eigen-AD: Algorithmic Differentiation of the Eigen Library
Updated with accepted version for ICCS 2020 conference proceedings. The final authenticated publication is available online at https://doi.org/10.1007/978-3-030-50371-0_51. See v1 for the original, extended preprint. 14 pages, 7 figures
Computational Science - ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part I, 12137, 690-704
10.1007/978-3-030-50371-0_51
null
cs.MS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work we present useful techniques and possible enhancements when applying an Algorithmic Differentiation (AD) tool to the linear algebra library Eigen using our in-house AD by overloading (AD-O) tool dco/c++ as a case study. After outlining performance and feasibility issues when calculating derivatives for t...
[ { "created": "Thu, 28 Nov 2019 09:07:08 GMT", "version": "v1" }, { "created": "Mon, 22 Jun 2020 12:42:13 GMT", "version": "v2" } ]
2020-06-23
[ [ "Peltzer", "Patrick", "" ], [ "Lotz", "Johannes", "" ], [ "Naumann", "Uwe", "" ] ]
In this work we present useful techniques and possible enhancements when applying an Algorithmic Differentiation (AD) tool to the linear algebra library Eigen using our in-house AD by overloading (AD-O) tool dco/c++ as a case study. After outlining performance and feasibility issues when calculating derivatives for the...
2110.05966
Changsheng Quan
Changsheng Quan, Xiaofei Li
Multi-channel Narrow-band Deep Speech Separation with Full-band Permutation Invariant Training
accepted by ICASSP 2022
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper addresses the problem of multi-channel multi-speech separation based on deep learning techniques. In the short time Fourier transform domain, we propose an end-to-end narrow-band network that directly takes as input the multi-channel mixture signals of one frequency, and outputs the separated signals of th...
[ { "created": "Tue, 12 Oct 2021 12:45:14 GMT", "version": "v1" }, { "created": "Tue, 12 Apr 2022 09:56:22 GMT", "version": "v2" } ]
2022-04-13
[ [ "Quan", "Changsheng", "" ], [ "Li", "Xiaofei", "" ] ]
This paper addresses the problem of multi-channel multi-speech separation based on deep learning techniques. In the short time Fourier transform domain, we propose an end-to-end narrow-band network that directly takes as input the multi-channel mixture signals of one frequency, and outputs the separated signals of this...
2202.07612
Hongwei Li
Maosheng Zhong, Gen Liu, Hongwei Li, Jiangling Kuang, Jinshan Zeng, Mingwen Wang
CodeGen-Test: An Automatic Code Generation Model Integrating Program Test Information
10 paper pages, 7 figures; 2 appendix pages, 5 appendix figures
null
null
null
cs.SE
http://creativecommons.org/licenses/by-nc-nd/4.0/
Automatic code generation is to generate the program code according to the given natural language description. The current mainstream approach uses neural networks to encode natural language descriptions, and output abstract syntax trees (AST) at the decoder, then convert the AST into program code. While the generate...
[ { "created": "Mon, 14 Feb 2022 10:04:22 GMT", "version": "v1" } ]
2022-02-16
[ [ "Zhong", "Maosheng", "" ], [ "Liu", "Gen", "" ], [ "Li", "Hongwei", "" ], [ "Kuang", "Jiangling", "" ], [ "Zeng", "Jinshan", "" ], [ "Wang", "Mingwen", "" ] ]
Automatic code generation is to generate the program code according to the given natural language description. The current mainstream approach uses neural networks to encode natural language descriptions, and output abstract syntax trees (AST) at the decoder, then convert the AST into program code. While the generated ...
2304.02916
Thodoris Kouzelis
Thodoris Kouzelis, Grigoris Bastas, Athanasios Katsamanis and Alexandros Potamianos
Efficient Audio Captioning Transformer with Patchout and Text Guidance
5 pages, 1 figure
null
null
null
cs.SD cs.LG eess.AS
http://creativecommons.org/licenses/by/4.0/
Automated audio captioning is multi-modal translation task that aim to generate textual descriptions for a given audio clip. In this paper we propose a full Transformer architecture that utilizes Patchout as proposed in [1], significantly reducing the computational complexity and avoiding overfitting. The caption gen...
[ { "created": "Thu, 6 Apr 2023 07:58:27 GMT", "version": "v1" } ]
2023-04-07
[ [ "Kouzelis", "Thodoris", "" ], [ "Bastas", "Grigoris", "" ], [ "Katsamanis", "Athanasios", "" ], [ "Potamianos", "Alexandros", "" ] ]
Automated audio captioning is multi-modal translation task that aim to generate textual descriptions for a given audio clip. In this paper we propose a full Transformer architecture that utilizes Patchout as proposed in [1], significantly reducing the computational complexity and avoiding overfitting. The caption gener...
2205.09927
Haitham Khedr
Haitham Khedr and Yasser Shoukry
CertiFair: A Framework for Certified Global Fairness of Neural Networks
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
We consider the problem of whether a Neural Network (NN) model satisfies global individual fairness. Individual Fairness suggests that similar individuals with respect to a certain task are to be treated similarly by the decision model. In this work, we have two main objectives. The first is to construct a verifier w...
[ { "created": "Fri, 20 May 2022 02:08:47 GMT", "version": "v1" } ]
2022-05-23
[ [ "Khedr", "Haitham", "" ], [ "Shoukry", "Yasser", "" ] ]
We consider the problem of whether a Neural Network (NN) model satisfies global individual fairness. Individual Fairness suggests that similar individuals with respect to a certain task are to be treated similarly by the decision model. In this work, we have two main objectives. The first is to construct a verifier whi...