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
1910.04277
Daniel Campos
Daniel Campos, Zoe Konrad
Experiments in Inferring Social Networks of Diffusion
null
null
null
null
cs.SI cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Information diffusion is a fundamental process that takes place over networks. While it is rarely realistic to observe the individual transmissions of the information diffusion process, it is typically possible to observe when individuals first publish the information. We look specifically at previously published alg...
[ { "created": "Wed, 9 Oct 2019 22:13:25 GMT", "version": "v1" } ]
2019-10-11
[ [ "Campos", "Daniel", "" ], [ "Konrad", "Zoe", "" ] ]
Information diffusion is a fundamental process that takes place over networks. While it is rarely realistic to observe the individual transmissions of the information diffusion process, it is typically possible to observe when individuals first publish the information. We look specifically at previously published algor...
1602.02174
Haris Aziz
Haris Aziz
Participation Incentives in Randomized Social Choice
corrected one proposition from previous version
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
When aggregating preferences of agents via voting, two desirable goals are to identify outcomes that are Pareto optimal and to incentivize agents to participate in the voting process. We consider participation notions as formalized by Brandl, Brandt, and Hofbauer (2015) and study how far efficiency and participation ...
[ { "created": "Fri, 5 Feb 2016 22:00:07 GMT", "version": "v1" }, { "created": "Tue, 8 Nov 2016 22:39:39 GMT", "version": "v2" } ]
2016-11-10
[ [ "Aziz", "Haris", "" ] ]
When aggregating preferences of agents via voting, two desirable goals are to identify outcomes that are Pareto optimal and to incentivize agents to participate in the voting process. We consider participation notions as formalized by Brandl, Brandt, and Hofbauer (2015) and study how far efficiency and participation ar...
2002.03491
Xiaoming Chen
Xiaoming Chen, Derrick Wing Kwan Ng, Wei Yu, Erik G. Larsson, Naofal Al-Dhahir, Robert Schober
Massive Access for 5G and Beyond
22 pages, 8 fugures, 6 tables
IEEE Journal on Selected Areas in Communications, 2020
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Massive access, also known as massive connectivity or massive machine-type communication (mMTC), is one of the main use cases of the fifth-generation (5G) and beyond 5G (B5G) wireless networks. A typical application of massive access is the cellular Internet of Things (IoT). Different from conventional human-type com...
[ { "created": "Mon, 10 Feb 2020 01:31:22 GMT", "version": "v1" }, { "created": "Mon, 3 Aug 2020 03:21:26 GMT", "version": "v2" } ]
2020-08-04
[ [ "Chen", "Xiaoming", "" ], [ "Ng", "Derrick Wing Kwan", "" ], [ "Yu", "Wei", "" ], [ "Larsson", "Erik G.", "" ], [ "Al-Dhahir", "Naofal", "" ], [ "Schober", "Robert", "" ] ]
Massive access, also known as massive connectivity or massive machine-type communication (mMTC), is one of the main use cases of the fifth-generation (5G) and beyond 5G (B5G) wireless networks. A typical application of massive access is the cellular Internet of Things (IoT). Different from conventional human-type commu...
2312.04193
Adri\'an Bazaga
Adri\'an Bazaga, Pietro Li\`o, Gos Micklem
Language Model Knowledge Distillation for Efficient Question Answering in Spanish
ICLR 2024 Tiny Paper (6 pages, 2 tables)
null
null
null
cs.CL cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Recent advances in the development of pre-trained Spanish language models has led to significant progress in many Natural Language Processing (NLP) tasks, such as question answering. However, the lack of efficient models imposes a barrier for the adoption of such models in resource-constrained environments. Therefore...
[ { "created": "Thu, 7 Dec 2023 10:21:22 GMT", "version": "v1" }, { "created": "Sat, 16 Mar 2024 17:44:27 GMT", "version": "v2" } ]
2024-03-19
[ [ "Bazaga", "Adrián", "" ], [ "Liò", "Pietro", "" ], [ "Micklem", "Gos", "" ] ]
Recent advances in the development of pre-trained Spanish language models has led to significant progress in many Natural Language Processing (NLP) tasks, such as question answering. However, the lack of efficient models imposes a barrier for the adoption of such models in resource-constrained environments. Therefore, ...
1610.05725
Anatoly Plotnikov
Anatoly D. Plotnikov
Polynomial-time algorithm for determining the graph isomorphism (v.2)
13 pages, 11 figures
American Journal of Information Science and Computer Engineering, Vol. 3, No. 6, 2017, pp. 71-76
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We develop the methodology of positioning graph vertices relative to each other to solve the problem of determining isomorphism of two undirected graphs. Based on the position of the vertex in one of the graphs, it is determined the corresponding vertex in the other graph. For the selected vertex of the undirected ...
[ { "created": "Wed, 27 Apr 2016 20:06:12 GMT", "version": "v1" }, { "created": "Thu, 27 Oct 2016 21:03:20 GMT", "version": "v2" } ]
2018-02-13
[ [ "Plotnikov", "Anatoly D.", "" ] ]
We develop the methodology of positioning graph vertices relative to each other to solve the problem of determining isomorphism of two undirected graphs. Based on the position of the vertex in one of the graphs, it is determined the corresponding vertex in the other graph. For the selected vertex of the undirected grap...
2304.07261
Qingyue Yang
Qingyue Yang, Hongjing Niu, Pengfei Xia, Wei Zhang, Bin Li
Frequency Decomposition to Tap the Potential of Single Domain for Generalization
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Domain generalization (DG), aiming at models able to work on multiple unseen domains, is a must-have characteristic of general artificial intelligence. DG based on single source domain training data is more challenging due to the lack of comparable information to help identify domain invariant features. In this paper...
[ { "created": "Fri, 14 Apr 2023 17:15:47 GMT", "version": "v1" } ]
2023-04-17
[ [ "Yang", "Qingyue", "" ], [ "Niu", "Hongjing", "" ], [ "Xia", "Pengfei", "" ], [ "Zhang", "Wei", "" ], [ "Li", "Bin", "" ] ]
Domain generalization (DG), aiming at models able to work on multiple unseen domains, is a must-have characteristic of general artificial intelligence. DG based on single source domain training data is more challenging due to the lack of comparable information to help identify domain invariant features. In this paper, ...
1510.01098
Boshra Rajaei
Boshra Rajaei, Eric W. Tramel, Sylvain Gigan, Florent Krzakala, Laurent Daudet
Intensity-only optical compressive imaging using a multiply scattering material and a double phase retrieval approach
null
Proceedings of the 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pages: 4054 - 4058
10.1109/ICASSP.2016.7472439
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, the problem of compressive imaging is addressed using natural randomization by means of a multiply scattering medium. To utilize the medium in this way, its corresponding transmission matrix must be estimated. To calibrate the imager, we use a digital micromirror device (DMD) as a simple, cheap, and hi...
[ { "created": "Mon, 5 Oct 2015 11:07:30 GMT", "version": "v1" }, { "created": "Mon, 25 Jan 2016 14:35:44 GMT", "version": "v2" } ]
2016-08-26
[ [ "Rajaei", "Boshra", "" ], [ "Tramel", "Eric W.", "" ], [ "Gigan", "Sylvain", "" ], [ "Krzakala", "Florent", "" ], [ "Daudet", "Laurent", "" ] ]
In this paper, the problem of compressive imaging is addressed using natural randomization by means of a multiply scattering medium. To utilize the medium in this way, its corresponding transmission matrix must be estimated. To calibrate the imager, we use a digital micromirror device (DMD) as a simple, cheap, and high...
2407.05419
Nafisa Hussain
Nafisa Hussain
Multimodal Language Models for Domain-Specific Procedural Video Summarization
6 pages, 3 figures
null
null
null
cs.CV cs.IR
http://creativecommons.org/publicdomain/zero/1.0/
Videos serve as a powerful medium to convey ideas, tell stories, and provide detailed instructions, especially through long-format tutorials. Such tutorials are valuable for learning new skills at one's own pace, yet they can be overwhelming due to their length and dense content. Viewers often seek specific informati...
[ { "created": "Sun, 7 Jul 2024 15:50:46 GMT", "version": "v1" } ]
2024-07-09
[ [ "Hussain", "Nafisa", "" ] ]
Videos serve as a powerful medium to convey ideas, tell stories, and provide detailed instructions, especially through long-format tutorials. Such tutorials are valuable for learning new skills at one's own pace, yet they can be overwhelming due to their length and dense content. Viewers often seek specific information...
2310.16866
Benjamin Chung
Benjamin Chung
A Type System for Julia
PhD thesis
null
null
null
cs.PL
http://creativecommons.org/licenses/by-sa/4.0/
The Julia programming language was designed to fill the needs of scientific computing by combining the benefits of productivity and performance languages. Julia allows users to write untyped scripts easily without needing to worry about many implementation details, as do other productivity languages. If one just want...
[ { "created": "Wed, 25 Oct 2023 10:55:21 GMT", "version": "v1" } ]
2023-10-27
[ [ "Chung", "Benjamin", "" ] ]
The Julia programming language was designed to fill the needs of scientific computing by combining the benefits of productivity and performance languages. Julia allows users to write untyped scripts easily without needing to worry about many implementation details, as do other productivity languages. If one just wants ...
2307.00936
Xiaoshuang Liang
Yunyou Huang, Xianglong Guan, Xiangjiang Lu, Xiaoshuang Liang, Xiuxia Miao, Jiyue Xie, Wenjing Liu, Li Ma, Suqin Tang, Zhifei Zhang, and Jianfeng Zhan
OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosis
Alzheimer's Disease, Abnormal Patterns, Open-set Recognition, OpenAPMax
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Alzheimer's disease (AD) cannot be reversed, but early diagnosis will significantly benefit patients' medical treatment and care. In recent works, AD diagnosis has the primary assumption that all categories are known a prior -- a closed-set classification problem, which contrasts with the open-set recognition problem...
[ { "created": "Mon, 3 Jul 2023 11:21:09 GMT", "version": "v1" } ]
2023-07-04
[ [ "Huang", "Yunyou", "" ], [ "Guan", "Xianglong", "" ], [ "Lu", "Xiangjiang", "" ], [ "Liang", "Xiaoshuang", "" ], [ "Miao", "Xiuxia", "" ], [ "Xie", "Jiyue", "" ], [ "Liu", "Wenjing", "" ], [ "Ma", ...
Alzheimer's disease (AD) cannot be reversed, but early diagnosis will significantly benefit patients' medical treatment and care. In recent works, AD diagnosis has the primary assumption that all categories are known a prior -- a closed-set classification problem, which contrasts with the open-set recognition problem. ...
2012.14642
Le Qi
Le Qi, Yu Zhang, Qingyu Yin, Ting Liu
Multiple Structural Priors Guided Self Attention Network for Language Understanding
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Self attention networks (SANs) have been widely utilized in recent NLP studies. Unlike CNNs or RNNs, standard SANs are usually position-independent, and thus are incapable of capturing the structural priors between sequences of words. Existing studies commonly apply one single mask strategy on SANs for incorporating ...
[ { "created": "Tue, 29 Dec 2020 07:30:03 GMT", "version": "v1" } ]
2021-01-01
[ [ "Qi", "Le", "" ], [ "Zhang", "Yu", "" ], [ "Yin", "Qingyu", "" ], [ "Liu", "Ting", "" ] ]
Self attention networks (SANs) have been widely utilized in recent NLP studies. Unlike CNNs or RNNs, standard SANs are usually position-independent, and thus are incapable of capturing the structural priors between sequences of words. Existing studies commonly apply one single mask strategy on SANs for incorporating st...
2202.09221
Stefan Scherzinger
Stefan Scherzinger, Pascal Becker, Arne Roennau and R\"udiger Dillmann
Motion Macro Programming on Assistive Robotic Manipulators: Three Skill Types for Everyday Tasks
8 pages, 10 figures, accepted to the IEEE 20th International Conference on Ubiquitous Robots (UR 2023), Honolulu, USA
null
null
null
cs.RO
http://creativecommons.org/licenses/by-sa/4.0/
Assistive robotic manipulators are becoming increasingly important for people with disabilities. Teleoperating the manipulator in mundane tasks is part of their daily lives. Instead of steering the robot through all actions, applying self-recorded motion macros could greatly facilitate repetitive tasks. Dynamic Movem...
[ { "created": "Fri, 18 Feb 2022 14:41:20 GMT", "version": "v1" }, { "created": "Sun, 16 Apr 2023 11:47:28 GMT", "version": "v2" }, { "created": "Fri, 12 May 2023 14:14:09 GMT", "version": "v3" } ]
2023-05-15
[ [ "Scherzinger", "Stefan", "" ], [ "Becker", "Pascal", "" ], [ "Roennau", "Arne", "" ], [ "Dillmann", "Rüdiger", "" ] ]
Assistive robotic manipulators are becoming increasingly important for people with disabilities. Teleoperating the manipulator in mundane tasks is part of their daily lives. Instead of steering the robot through all actions, applying self-recorded motion macros could greatly facilitate repetitive tasks. Dynamic Movemen...
1809.00832
Eunji Jeong
Eunji Jeong, Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Byung-Gon Chun
Improving the Expressiveness of Deep Learning Frameworks with Recursion
Appeared in EuroSys 2018. 13 pages, 11 figures
EuroSys 2018: Thirteenth EuroSys Conference, April 23-26, 2018, Porto, Portugal
10.1145/3190508.3190530
null
cs.LG cs.AI cs.CL stat.ML
http://creativecommons.org/licenses/by/4.0/
Recursive neural networks have widely been used by researchers to handle applications with recursively or hierarchically structured data. However, embedded control flow deep learning frameworks such as TensorFlow, Theano, Caffe2, and MXNet fail to efficiently represent and execute such neural networks, due to lack of...
[ { "created": "Tue, 4 Sep 2018 08:31:21 GMT", "version": "v1" } ]
2018-09-05
[ [ "Jeong", "Eunji", "" ], [ "Jeong", "Joo Seong", "" ], [ "Kim", "Soojeong", "" ], [ "Yu", "Gyeong-In", "" ], [ "Chun", "Byung-Gon", "" ] ]
Recursive neural networks have widely been used by researchers to handle applications with recursively or hierarchically structured data. However, embedded control flow deep learning frameworks such as TensorFlow, Theano, Caffe2, and MXNet fail to efficiently represent and execute such neural networks, due to lack of s...
2102.08818
Priyanshu Kumar
Aadarsh Singh and Priyanshu Kumar
SciDr at SDU-2020: IDEAS -- Identifying and Disambiguating Everyday Acronyms for Scientific Domain
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We present our systems submitted for the shared tasks of Acronym Identification (AI) and Acronym Disambiguation (AD) held under Workshop on SDU. We mainly experiment with BERT and SciBERT. In addition, we assess the effectiveness of "BIOless" tagging and blending along with the prowess of ensembling in AI. For AD, we...
[ { "created": "Wed, 17 Feb 2021 15:24:50 GMT", "version": "v1" }, { "created": "Mon, 8 Mar 2021 13:34:34 GMT", "version": "v2" } ]
2021-03-09
[ [ "Singh", "Aadarsh", "" ], [ "Kumar", "Priyanshu", "" ] ]
We present our systems submitted for the shared tasks of Acronym Identification (AI) and Acronym Disambiguation (AD) held under Workshop on SDU. We mainly experiment with BERT and SciBERT. In addition, we assess the effectiveness of "BIOless" tagging and blending along with the prowess of ensembling in AI. For AD, we f...
2405.15570
Jakob Struye
Jakob Struye, Filip Lemic, Jeroen Famaey
Multi-Gigabit Interactive Extended Reality over Millimeter-Wave: An End-to-End System Approach
Accepted at IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2024
null
null
null
cs.NI eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Achieving high-quality wireless interactive Extended Reality (XR) will require multi-gigabit throughput at extremely low latency. The Millimeter-Wave (mmWave) frequency bands, between 24 and 300GHz, can achieve such extreme performance. However, maintaining a consistently high Quality of Experience with highly mobile...
[ { "created": "Fri, 24 May 2024 14:03:16 GMT", "version": "v1" } ]
2024-05-27
[ [ "Struye", "Jakob", "" ], [ "Lemic", "Filip", "" ], [ "Famaey", "Jeroen", "" ] ]
Achieving high-quality wireless interactive Extended Reality (XR) will require multi-gigabit throughput at extremely low latency. The Millimeter-Wave (mmWave) frequency bands, between 24 and 300GHz, can achieve such extreme performance. However, maintaining a consistently high Quality of Experience with highly mobile u...
2210.16352
Thomas Plagemann
Thomas Plagemann (1), Vera Goebel (1), Matthias Hollick (2), Boris Koldehofe (3) ((1) University of Oslo, (2) Technical University of Darmstadt, (3) University of Groningen)
Towards Privacy Engineering for Real-Time Analytics in the Human-Centered Internet of Things
null
null
null
null
cs.DC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Big data applications offer smart solutions to many urgent societal challenges, such as health care, traffic coordination, energy management, etc. The basic premise for these applications is "the more data the better". The focus often lies on sensing infrastructures in the public realm that produce an ever-increasing...
[ { "created": "Fri, 28 Oct 2022 18:39:51 GMT", "version": "v1" } ]
2022-11-01
[ [ "Plagemann", "Thomas", "" ], [ "Goebel", "Vera", "" ], [ "Hollick", "Matthias", "" ], [ "Koldehofe", "Boris", "" ] ]
Big data applications offer smart solutions to many urgent societal challenges, such as health care, traffic coordination, energy management, etc. The basic premise for these applications is "the more data the better". The focus often lies on sensing infrastructures in the public realm that produce an ever-increasing a...
2002.07287
Andrej Sajenko
Frank Kammer, Johannes Meintrup, and Andrej Sajenko
Sorting and Ranking of Self-Delimiting Numbers with Applications to Outerplanar Graph Isomorphism
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Assume that an $N$-bit sequence $S$ of $k$ numbers encoded as Elias gamma codes is given as input. We present space-efficient algorithms for sorting, dense ranking and competitive ranking on $S$ in the word RAM model with word size $\Omega(\log N)$ bits. Our algorithms run in $O(k + \frac{N}{\log N})$ time and use $O...
[ { "created": "Mon, 17 Feb 2020 22:39:00 GMT", "version": "v1" }, { "created": "Mon, 15 Jun 2020 10:17:08 GMT", "version": "v2" }, { "created": "Thu, 2 May 2024 15:22:21 GMT", "version": "v3" } ]
2024-05-03
[ [ "Kammer", "Frank", "" ], [ "Meintrup", "Johannes", "" ], [ "Sajenko", "Andrej", "" ] ]
Assume that an $N$-bit sequence $S$ of $k$ numbers encoded as Elias gamma codes is given as input. We present space-efficient algorithms for sorting, dense ranking and competitive ranking on $S$ in the word RAM model with word size $\Omega(\log N)$ bits. Our algorithms run in $O(k + \frac{N}{\log N})$ time and use $O(N...
2308.13785
Minheng Ni
Minheng Ni, Chenfei Wu, Xiaodong Wang, Shengming Yin, Lijuan Wang, Zicheng Liu, Nan Duan
ORES: Open-vocabulary Responsible Visual Synthesis
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Avoiding synthesizing specific visual concepts is an essential challenge in responsible visual synthesis. However, the visual concept that needs to be avoided for responsible visual synthesis tends to be diverse, depending on the region, context, and usage scenarios. In this work, we formalize a new task, Open-vocabu...
[ { "created": "Sat, 26 Aug 2023 06:47:34 GMT", "version": "v1" } ]
2023-08-29
[ [ "Ni", "Minheng", "" ], [ "Wu", "Chenfei", "" ], [ "Wang", "Xiaodong", "" ], [ "Yin", "Shengming", "" ], [ "Wang", "Lijuan", "" ], [ "Liu", "Zicheng", "" ], [ "Duan", "Nan", "" ] ]
Avoiding synthesizing specific visual concepts is an essential challenge in responsible visual synthesis. However, the visual concept that needs to be avoided for responsible visual synthesis tends to be diverse, depending on the region, context, and usage scenarios. In this work, we formalize a new task, Open-vocabula...
2001.05288
Joseph Tassone
Joseph Tassone, Salimur Choudhury
A Comprehensive Survey on the Ambulance Routing and Location Problems
30 pages,7 figures,16 tables
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this research, an extensive literature review was performed on the recent developments of the ambulance routing problem (ARP) and ambulance location problem (ALP). Both are respective modifications of the vehicle routing problem (VRP) and maximum covering problem (MCP), with modifications to objective functions an...
[ { "created": "Fri, 10 Jan 2020 05:33:11 GMT", "version": "v1" } ]
2020-01-16
[ [ "Tassone", "Joseph", "" ], [ "Choudhury", "Salimur", "" ] ]
In this research, an extensive literature review was performed on the recent developments of the ambulance routing problem (ARP) and ambulance location problem (ALP). Both are respective modifications of the vehicle routing problem (VRP) and maximum covering problem (MCP), with modifications to objective functions and ...
2312.16552
Jakub Mosinski
Jakub Mosi\'nski, Piotr Bili\'nski, Thomas Merritt, Abdelhamid Ezzerg, Daniel Korzekwa
AE-Flow: AutoEncoder Normalizing Flow
ICASSP 2023
null
null
null
cs.SD cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently normalizing flows have been gaining traction in text-to-speech (TTS) and voice conversion (VC) due to their state-of-the-art (SOTA) performance. Normalizing flows are unsupervised generative models. In this paper, we introduce supervision to the training process of normalizing flows, without the need for par...
[ { "created": "Wed, 27 Dec 2023 12:29:21 GMT", "version": "v1" } ]
2023-12-29
[ [ "Mosiński", "Jakub", "" ], [ "Biliński", "Piotr", "" ], [ "Merritt", "Thomas", "" ], [ "Ezzerg", "Abdelhamid", "" ], [ "Korzekwa", "Daniel", "" ] ]
Recently normalizing flows have been gaining traction in text-to-speech (TTS) and voice conversion (VC) due to their state-of-the-art (SOTA) performance. Normalizing flows are unsupervised generative models. In this paper, we introduce supervision to the training process of normalizing flows, without the need for paral...
1211.2361
Hossein Jahandideh
Hossein Jahandideh, Ardavan Asef-Vaziri, Mohammad Modarres
Genetic Algorithm for Designing a Convenient Facility Layout for a Circular Flow Path
Accepted to the 2013 IEEE Symposium Series on Computational Intelligence: Swarm Intelligence Symposium. This paper has been withdrawn by the author, by the request of the supervisor, to be updated, fixed, and combined with other papers
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a heuristic for designing facility layouts that are convenient for designing a unidirectional loop for material handling. We use genetic algorithm where the objective function and crossover and mutation operators have all been designed specifically for this purpose. Our design is made under ...
[ { "created": "Sun, 11 Nov 2012 00:26:22 GMT", "version": "v1" }, { "created": "Fri, 22 Mar 2013 06:09:29 GMT", "version": "v2" } ]
2013-03-25
[ [ "Jahandideh", "Hossein", "" ], [ "Asef-Vaziri", "Ardavan", "" ], [ "Modarres", "Mohammad", "" ] ]
In this paper, we present a heuristic for designing facility layouts that are convenient for designing a unidirectional loop for material handling. We use genetic algorithm where the objective function and crossover and mutation operators have all been designed specifically for this purpose. Our design is made under fl...
2304.10611
Minghui Zhang
Minghui Zhang, Alex Sokolov, Weixin Cai, Si-Qing Chen
Joint Repetition Suppression and Content Moderation of Large Language Models
null
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Natural language generation (NLG) is one of the most impactful fields in NLP, and recent years have witnessed its evolution brought about by large language models (LLMs). As the key instrument for writing assistance applications, they are generally prone to replicating or extending offensive content provided in the i...
[ { "created": "Thu, 20 Apr 2023 19:17:49 GMT", "version": "v1" }, { "created": "Mon, 5 Jun 2023 18:16:29 GMT", "version": "v2" } ]
2023-06-07
[ [ "Zhang", "Minghui", "" ], [ "Sokolov", "Alex", "" ], [ "Cai", "Weixin", "" ], [ "Chen", "Si-Qing", "" ] ]
Natural language generation (NLG) is one of the most impactful fields in NLP, and recent years have witnessed its evolution brought about by large language models (LLMs). As the key instrument for writing assistance applications, they are generally prone to replicating or extending offensive content provided in the inp...
1111.7051
Arup Pal
Arup Kumar Pal, G.P. Biswas and S. Mukhopadhyay
Design of Image Cryptosystem by Simultaneous VQ-Compression and Shuffling of Codebook and Index Matrix
null
The International journal of Multimedia & Its Applications (IJMA), Vol.1, No.1, November 2009
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The popularity of Internet usage although increases exponentially, it is incapable of providing the security for exchange of confidential data between the users. As a result, several cryptosystems for encryption of data and images have been developed for secured transmission over Internet. In this work, a scheme for ...
[ { "created": "Wed, 30 Nov 2011 05:36:51 GMT", "version": "v1" } ]
2011-12-01
[ [ "Pal", "Arup Kumar", "" ], [ "Biswas", "G. P.", "" ], [ "Mukhopadhyay", "S.", "" ] ]
The popularity of Internet usage although increases exponentially, it is incapable of providing the security for exchange of confidential data between the users. As a result, several cryptosystems for encryption of data and images have been developed for secured transmission over Internet. In this work, a scheme for Im...
2103.12198
Jacob Nogas
Joseph Jay Williams, Jacob Nogas, Nina Deliu, Hammad Shaikh, Sofia S. Villar, Audrey Durand, Anna Rafferty
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments
null
null
null
null
cs.LG stat.AP
http://creativecommons.org/licenses/by/4.0/
Multi-armed bandit algorithms have been argued for decades as useful for adaptively randomized experiments. In such experiments, an algorithm varies which arms (e.g. alternative interventions to help students learn) are assigned to participants, with the goal of assigning higher-reward arms to as many participants as...
[ { "created": "Mon, 22 Mar 2021 22:05:18 GMT", "version": "v1" }, { "created": "Fri, 26 Mar 2021 14:44:02 GMT", "version": "v2" } ]
2021-03-29
[ [ "Williams", "Joseph Jay", "" ], [ "Nogas", "Jacob", "" ], [ "Deliu", "Nina", "" ], [ "Shaikh", "Hammad", "" ], [ "Villar", "Sofia S.", "" ], [ "Durand", "Audrey", "" ], [ "Rafferty", "Anna", "" ] ]
Multi-armed bandit algorithms have been argued for decades as useful for adaptively randomized experiments. In such experiments, an algorithm varies which arms (e.g. alternative interventions to help students learn) are assigned to participants, with the goal of assigning higher-reward arms to as many participants as p...
1911.04020
Ya Xiao
Ya Xiao, Qingying Hao, Danfeng (Daphne) Yao
Neural Cryptanalysis: Metrics, Methodology, and Applications in CPS Ciphers
8 pages, 8 figures, The 2019 IEEE Conference on Dependable and Secure Computing
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many real-world cyber-physical systems (CPS) use proprietary cipher algorithms. In this work, we describe an easy-to-use black-box security evaluation approach to measure the strength of proprietary ciphers without having to know the algorithms. We quantify the strength of a cipher by measuring how difficult it is fo...
[ { "created": "Mon, 11 Nov 2019 00:36:38 GMT", "version": "v1" }, { "created": "Fri, 22 Nov 2019 19:45:11 GMT", "version": "v2" }, { "created": "Tue, 26 Nov 2019 02:05:35 GMT", "version": "v3" } ]
2019-11-27
[ [ "Xiao", "Ya", "", "Daphne" ], [ "Hao", "Qingying", "", "Daphne" ], [ "Danfeng", "", "", "Daphne" ], [ "Yao", "", "" ] ]
Many real-world cyber-physical systems (CPS) use proprietary cipher algorithms. In this work, we describe an easy-to-use black-box security evaluation approach to measure the strength of proprietary ciphers without having to know the algorithms. We quantify the strength of a cipher by measuring how difficult it is for ...
2312.01432
Andrzej Ruszczy\'nski
Zhengqi Lin and Andrzej Ruszczynski
Fast Dual Subgradient Optimization of the Integrated Transportation Distance Between Stochastic Kernels
arXiv admin note: text overlap with arXiv:2311.06645
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A generalization of the Wasserstein metric, the integrated transportation distance, establishes a novel distance between probability kernels of Markov systems. This metric serves as the foundation for an efficient approximation technique, enabling the replacement of the original system's kernel with a kernel with a d...
[ { "created": "Sun, 3 Dec 2023 15:44:17 GMT", "version": "v1" } ]
2023-12-07
[ [ "Lin", "Zhengqi", "" ], [ "Ruszczynski", "Andrzej", "" ] ]
A generalization of the Wasserstein metric, the integrated transportation distance, establishes a novel distance between probability kernels of Markov systems. This metric serves as the foundation for an efficient approximation technique, enabling the replacement of the original system's kernel with a kernel with a dis...
1810.02452
Elham Havvaei
David Eppstein and Elham Havvaei
Parameterized Leaf Power Recognition via Embedding into Graph Products
null
Algorithmica 82 (8): 2337-2359, 2020
10.1007/s00453-020-00720-8
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The $k$-leaf power graph $G$ of a tree $T$ is a graph whose vertices are the leaves of $T$ and whose edges connect pairs of leaves at unweighted distance at most~$k$ in $T$. Recognition of the $k$-leaf power graphs for $k \geq 7$ is still an open problem. In this paper, we provide two algorithms for this problem for ...
[ { "created": "Thu, 4 Oct 2018 23:08:03 GMT", "version": "v1" }, { "created": "Thu, 10 Oct 2019 22:49:21 GMT", "version": "v2" }, { "created": "Sun, 31 May 2020 22:43:32 GMT", "version": "v3" } ]
2020-08-11
[ [ "Eppstein", "David", "" ], [ "Havvaei", "Elham", "" ] ]
The $k$-leaf power graph $G$ of a tree $T$ is a graph whose vertices are the leaves of $T$ and whose edges connect pairs of leaves at unweighted distance at most~$k$ in $T$. Recognition of the $k$-leaf power graphs for $k \geq 7$ is still an open problem. In this paper, we provide two algorithms for this problem for sp...
2106.12978
Georgios Damaskinos
Alessandro Solbiati, Kevin Heffernan, Georgios Damaskinos, Shivani Poddar, Shubham Modi, Jacques Cali
Unsupervised Topic Segmentation of Meetings with BERT Embeddings
null
null
null
null
cs.LG cs.CL
http://creativecommons.org/licenses/by/4.0/
Topic segmentation of meetings is the task of dividing multi-person meeting transcripts into topic blocks. Supervised approaches to the problem have proven intractable due to the difficulties in collecting and accurately annotating large datasets. In this paper we show how previous unsupervised topic segmentation met...
[ { "created": "Thu, 24 Jun 2021 12:54:43 GMT", "version": "v1" } ]
2021-06-25
[ [ "Solbiati", "Alessandro", "" ], [ "Heffernan", "Kevin", "" ], [ "Damaskinos", "Georgios", "" ], [ "Poddar", "Shivani", "" ], [ "Modi", "Shubham", "" ], [ "Cali", "Jacques", "" ] ]
Topic segmentation of meetings is the task of dividing multi-person meeting transcripts into topic blocks. Supervised approaches to the problem have proven intractable due to the difficulties in collecting and accurately annotating large datasets. In this paper we show how previous unsupervised topic segmentation metho...
2002.05245
Shengxin Liu
Xiaohui Bei, Shengxin Liu, Xinhang Lu, Hongao Wang
Maximin Fairness with Mixed Divisible and Indivisible Goods
Appears in the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021
Autonomous Agents and Multi-Agent Systems, 35(2):34 (2021)
10.1007/s10458-021-09517-7
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study fair resource allocation when the resources contain a mixture of divisible and indivisible goods, focusing on the well-studied fairness notion of maximin share fairness (MMS). With only indivisible goods, a full MMS allocation may not exist, but a constant multiplicative approximate allocation always does. W...
[ { "created": "Wed, 12 Feb 2020 21:37:38 GMT", "version": "v1" }, { "created": "Fri, 11 Dec 2020 15:32:36 GMT", "version": "v2" }, { "created": "Thu, 1 Jul 2021 13:05:31 GMT", "version": "v3" } ]
2021-07-02
[ [ "Bei", "Xiaohui", "" ], [ "Liu", "Shengxin", "" ], [ "Lu", "Xinhang", "" ], [ "Wang", "Hongao", "" ] ]
We study fair resource allocation when the resources contain a mixture of divisible and indivisible goods, focusing on the well-studied fairness notion of maximin share fairness (MMS). With only indivisible goods, a full MMS allocation may not exist, but a constant multiplicative approximate allocation always does. We ...
1301.3641
Ryan Kiros
Ryan Kiros
Training Neural Networks with Stochastic Hessian-Free Optimization
11 pages, ICLR 2013
null
null
null
cs.LG cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Hessian-free (HF) optimization has been successfully used for training deep autoencoders and recurrent networks. HF uses the conjugate gradient algorithm to construct update directions through curvature-vector products that can be computed on the same order of time as gradients. In this paper we exploit this property...
[ { "created": "Wed, 16 Jan 2013 10:10:23 GMT", "version": "v1" }, { "created": "Mon, 18 Mar 2013 05:51:37 GMT", "version": "v2" }, { "created": "Wed, 1 May 2013 06:57:50 GMT", "version": "v3" } ]
2013-05-02
[ [ "Kiros", "Ryan", "" ] ]
Hessian-free (HF) optimization has been successfully used for training deep autoencoders and recurrent networks. HF uses the conjugate gradient algorithm to construct update directions through curvature-vector products that can be computed on the same order of time as gradients. In this paper we exploit this property a...
2403.17064
Stefan Andreas Baumann
Stefan Andreas Baumann and Felix Krause and Michael Neumayr and Nick Stracke and Vincent Tao Hu and Bj\"orn Ommer
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions
Project page: https://compvis.github.io/attribute-control
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, advances in text-to-image (T2I) diffusion models have substantially elevated the quality of their generated images. However, achieving fine-grained control over attributes remains a challenge due to the limitations of natural language prompts (such as no continuous set of intermediate descriptions ex...
[ { "created": "Mon, 25 Mar 2024 18:00:42 GMT", "version": "v1" } ]
2024-03-27
[ [ "Baumann", "Stefan Andreas", "" ], [ "Krause", "Felix", "" ], [ "Neumayr", "Michael", "" ], [ "Stracke", "Nick", "" ], [ "Hu", "Vincent Tao", "" ], [ "Ommer", "Björn", "" ] ]
In recent years, advances in text-to-image (T2I) diffusion models have substantially elevated the quality of their generated images. However, achieving fine-grained control over attributes remains a challenge due to the limitations of natural language prompts (such as no continuous set of intermediate descriptions exis...
2007.11246
Mehdi Teimouri
Mehdi Teimouri, Zahra Seyedghorban, Fatemeh Amirjani
Fragments-Expert: A Graphical User Interface MATLAB Toolbox for Classification of File Fragments
47 Pages, 34 Figures, and 3 Tables
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The classification of file fragments of various file formats is an essential task in various applications such as firewalls, intrusion detection systems, anti-viruses, web content filtering, and digital forensics. However, the community lacks a suitable software tool that can integrate major methods for feature extra...
[ { "created": "Wed, 22 Jul 2020 08:03:02 GMT", "version": "v1" } ]
2020-07-23
[ [ "Teimouri", "Mehdi", "" ], [ "Seyedghorban", "Zahra", "" ], [ "Amirjani", "Fatemeh", "" ] ]
The classification of file fragments of various file formats is an essential task in various applications such as firewalls, intrusion detection systems, anti-viruses, web content filtering, and digital forensics. However, the community lacks a suitable software tool that can integrate major methods for feature extract...
2305.04429
Yang Wu
Yang Wu, Yanyan Zhao, Zhongyang Li, Bing Qin, Kai Xiong
Improving Cross-Task Generalization with Step-by-Step Instructions
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Instruction tuning has been shown to be able to improve cross-task generalization of language models. However, it is still challenging for language models to complete the target tasks following the instructions, as the instructions are general and lack intermediate steps. To address this problem, we propose to incorp...
[ { "created": "Mon, 8 May 2023 02:50:41 GMT", "version": "v1" } ]
2023-05-09
[ [ "Wu", "Yang", "" ], [ "Zhao", "Yanyan", "" ], [ "Li", "Zhongyang", "" ], [ "Qin", "Bing", "" ], [ "Xiong", "Kai", "" ] ]
Instruction tuning has been shown to be able to improve cross-task generalization of language models. However, it is still challenging for language models to complete the target tasks following the instructions, as the instructions are general and lack intermediate steps. To address this problem, we propose to incorpor...
2310.04020
Anand Kulkarni Dr
Anand J Kulkarni, Ishaan R Kale, Apoorva Shastri, Aayush Khandekar
Snail Homing and Mating Search Algorithm: A Novel Bio-Inspired Metaheuristic Algorithm
46 Pages, 11 Figures, 24 Tables
null
null
null
cs.NE
http://creativecommons.org/licenses/by/4.0/
In this paper, a novel Snail Homing and Mating Search (SHMS) algorithm is proposed. It is inspired from the biological behaviour of the snails. Snails continuously travels to find food and a mate, leaving behind a trail of mucus that serves as a guide for their return. Snails tend to navigate by following the availab...
[ { "created": "Fri, 6 Oct 2023 05:18:48 GMT", "version": "v1" } ]
2023-10-09
[ [ "Kulkarni", "Anand J", "" ], [ "Kale", "Ishaan R", "" ], [ "Shastri", "Apoorva", "" ], [ "Khandekar", "Aayush", "" ] ]
In this paper, a novel Snail Homing and Mating Search (SHMS) algorithm is proposed. It is inspired from the biological behaviour of the snails. Snails continuously travels to find food and a mate, leaving behind a trail of mucus that serves as a guide for their return. Snails tend to navigate by following the available...
1705.07460
Min Xu
Min Xu
Experience enrichment based task independent reward model
4 pages, 1 figure
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For most reinforcement learning approaches, the learning is performed by maximizing an accumulative reward that is expectedly and manually defined for specific tasks. However, in real world, rewards are emergent phenomena from the complex interactions between agents and environments. In this paper, we propose an impl...
[ { "created": "Sun, 21 May 2017 15:19:20 GMT", "version": "v1" } ]
2017-05-23
[ [ "Xu", "Min", "" ] ]
For most reinforcement learning approaches, the learning is performed by maximizing an accumulative reward that is expectedly and manually defined for specific tasks. However, in real world, rewards are emergent phenomena from the complex interactions between agents and environments. In this paper, we propose an implic...
2303.14321
Daniel Lemire
Daniel Lemire
Exact Short Products From Truncated Multipliers
Software at https://github.com/lemire/exactshortlib
Computer Journal 67 (4), 2024
10.1093/comjnl/bxad077
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
We sometimes need to compute the most significant digits of the product of small integers with a multiplier requiring much storage: e.g., a large integer (e.g., $5^{100}$) or an irrational number ($\pi$). We only need to access the most significant digits of the multiplier-as long as the integers are sufficiently sma...
[ { "created": "Sat, 25 Mar 2023 01:26:00 GMT", "version": "v1" } ]
2024-05-07
[ [ "Lemire", "Daniel", "" ] ]
We sometimes need to compute the most significant digits of the product of small integers with a multiplier requiring much storage: e.g., a large integer (e.g., $5^{100}$) or an irrational number ($\pi$). We only need to access the most significant digits of the multiplier-as long as the integers are sufficiently small...
2206.06836
ali hassan
Amine Mrabet, Ali Hassan, Patrice Darmon (Umanis)
"hasSignification()": une nouvelle fonction de distance pour soutenir la d\'etection de donn\'ees personnelles
in French language
null
null
null
cs.CL cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Today with Big Data and data lakes, we are faced of a mass of data that is very difficult to manage it manually. The protection of personal data in this context requires an automatic analysis for data discovery. Storing the names of attributes already analyzed in a knowledge base could optimize this automatic discove...
[ { "created": "Tue, 14 Jun 2022 13:31:26 GMT", "version": "v1" } ]
2022-06-15
[ [ "Mrabet", "Amine", "", "Umanis" ], [ "Hassan", "Ali", "", "Umanis" ], [ "Darmon", "Patrice", "", "Umanis" ] ]
Today with Big Data and data lakes, we are faced of a mass of data that is very difficult to manage it manually. The protection of personal data in this context requires an automatic analysis for data discovery. Storing the names of attributes already analyzed in a knowledge base could optimize this automatic discovery...
1403.5618
P\"ar-Ola Zander
Shahadat Hossein, Par-Ola Zander, Md. Kamal, Linkon Chowdhury
Belief-Rule-Based Expert Systems for Evaluation of E- Government: A Case Study
Accepted with no Changes for Wiley Expert Systems
null
null
null
cs.AI cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Little knowledge exists on the impact and results associated with e-government projects in many specific use domains. Therefore it is necessary to evaluate the efficiency and effectiveness of e-government systems. Since the development of e-government is a continuous process of improvement, it requires continuous eva...
[ { "created": "Sat, 22 Mar 2014 05:56:26 GMT", "version": "v1" }, { "created": "Mon, 9 Mar 2015 09:35:48 GMT", "version": "v2" } ]
2015-03-10
[ [ "Hossein", "Shahadat", "" ], [ "Zander", "Par-Ola", "" ], [ "Kamal", "Md.", "" ], [ "Chowdhury", "Linkon", "" ] ]
Little knowledge exists on the impact and results associated with e-government projects in many specific use domains. Therefore it is necessary to evaluate the efficiency and effectiveness of e-government systems. Since the development of e-government is a continuous process of improvement, it requires continuous evalu...
2307.01689
Yuval Dagan
Angelos Assos, Idan Attias, Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson
Online Learning and Solving Infinite Games with an ERM Oracle
In COLT2023
null
null
null
cs.LG cs.AI cs.GT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While ERM suffices to attain near-optimal generalization error in the stochastic learning setting, this is not known to be the case in the online learning setting, where algorithms for general concept classes rely on computationally inefficient oracles such as the Standard Optimal Algorithm (SOA). In this work, we pr...
[ { "created": "Tue, 4 Jul 2023 12:51:21 GMT", "version": "v1" }, { "created": "Mon, 10 Jul 2023 11:16:54 GMT", "version": "v2" } ]
2023-07-11
[ [ "Assos", "Angelos", "" ], [ "Attias", "Idan", "" ], [ "Dagan", "Yuval", "" ], [ "Daskalakis", "Constantinos", "" ], [ "Fishelson", "Maxwell", "" ] ]
While ERM suffices to attain near-optimal generalization error in the stochastic learning setting, this is not known to be the case in the online learning setting, where algorithms for general concept classes rely on computationally inefficient oracles such as the Standard Optimal Algorithm (SOA). In this work, we prop...
1508.03725
Mirco Musolesi
Veljko Pejovic, Neal Lathia, Cecilia Mascolo, Mirco Musolesi
Mobile-Based Experience Sampling for Behaviour Research
20 pages, 2 figures
null
null
null
cs.HC cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Experience Sampling Method (ESM) introduces in-situ sampling of human behaviour, and provides researchers and behavioural therapists with ecologically valid and timely assessments of a person's psychological state. This, in turn, opens up new opportunities for understanding behaviour at a scale and granularity th...
[ { "created": "Sat, 15 Aug 2015 12:15:38 GMT", "version": "v1" } ]
2015-08-18
[ [ "Pejovic", "Veljko", "" ], [ "Lathia", "Neal", "" ], [ "Mascolo", "Cecilia", "" ], [ "Musolesi", "Mirco", "" ] ]
The Experience Sampling Method (ESM) introduces in-situ sampling of human behaviour, and provides researchers and behavioural therapists with ecologically valid and timely assessments of a person's psychological state. This, in turn, opens up new opportunities for understanding behaviour at a scale and granularity that...
1601.03278
Longqi Yang
Longqi Yang, Diana Freed, Alex Wu, Judy Wu, JP Pollak, Deborah Estrin
Your Activities of Daily Living (YADL): An Image-based Survey Technique for Patients with Arthritis
null
null
null
null
cs.CY cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Healthcare professionals use Activities of Daily Living (ADL) to characterize a patient's functional status and to evaluate the effectiveness of treatment plans. ADLs are traditionally measured using standardized text-based questionnaires and the only form of personalization is in the form of question branching logic...
[ { "created": "Wed, 13 Jan 2016 15:27:58 GMT", "version": "v1" } ]
2016-01-14
[ [ "Yang", "Longqi", "" ], [ "Freed", "Diana", "" ], [ "Wu", "Alex", "" ], [ "Wu", "Judy", "" ], [ "Pollak", "JP", "" ], [ "Estrin", "Deborah", "" ] ]
Healthcare professionals use Activities of Daily Living (ADL) to characterize a patient's functional status and to evaluate the effectiveness of treatment plans. ADLs are traditionally measured using standardized text-based questionnaires and the only form of personalization is in the form of question branching logic. ...
2210.10207
Denizalp Goktas
Denizalp Goktas and Amy Greenwald
Exploitability Minimization in Games and Beyond
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pseudo-games are a natural and well-known generalization of normal-form games, in which the actions taken by each player affect not only the other players' payoffs, as in games, but also the other players' strategy sets. The solution concept par excellence for pseudo-games is the generalized Nash equilibrium (GNE), i...
[ { "created": "Tue, 18 Oct 2022 23:21:57 GMT", "version": "v1" } ]
2022-10-20
[ [ "Goktas", "Denizalp", "" ], [ "Greenwald", "Amy", "" ] ]
Pseudo-games are a natural and well-known generalization of normal-form games, in which the actions taken by each player affect not only the other players' payoffs, as in games, but also the other players' strategy sets. The solution concept par excellence for pseudo-games is the generalized Nash equilibrium (GNE), i.e...
2309.16789
Jayati Deshmukh
Balambiga Ayappane, Rohith Vaidyanathan, Srinath Srinivasa, Jayati Deshmukh
Extensible Consent Management Architectures for Data Trusts
An earlier version of this paper was published in ISIC 2021
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Sensitive personal information of individuals and non-personal information of organizations or communities often needs to be legitimately exchanged among different stakeholders, to provide services, maintain public health, law and order, and so on. While such exchanges are necessary, they also impose enormous privacy...
[ { "created": "Thu, 28 Sep 2023 18:28:50 GMT", "version": "v1" } ]
2023-10-02
[ [ "Ayappane", "Balambiga", "" ], [ "Vaidyanathan", "Rohith", "" ], [ "Srinivasa", "Srinath", "" ], [ "Deshmukh", "Jayati", "" ] ]
Sensitive personal information of individuals and non-personal information of organizations or communities often needs to be legitimately exchanged among different stakeholders, to provide services, maintain public health, law and order, and so on. While such exchanges are necessary, they also impose enormous privacy a...
1908.11431
Yuxing Ma
Yuxing Ma, Audris Mockus, Beth Milhollin, Russel Zaretzki, Randy Bradley, Bogdan Bichescu
A Methodology for Analyzing Uptake of Software Technologies Among Developers
5 figures, 15 pages
null
null
null
cs.SE
http://creativecommons.org/publicdomain/zero/1.0/
Motivation: The question of what combination of attributes drives the adoption of a particular software technology is critical to developers. It determines both those technologies that receive wide support from the community and those which may be abandoned, thus rendering developers' investments worthless. Aim and C...
[ { "created": "Thu, 29 Aug 2019 19:36:28 GMT", "version": "v1" }, { "created": "Wed, 4 Sep 2019 15:06:13 GMT", "version": "v2" } ]
2019-09-05
[ [ "Ma", "Yuxing", "" ], [ "Mockus", "Audris", "" ], [ "Milhollin", "Beth", "" ], [ "Zaretzki", "Russel", "" ], [ "Bradley", "Randy", "" ], [ "Bichescu", "Bogdan", "" ] ]
Motivation: The question of what combination of attributes drives the adoption of a particular software technology is critical to developers. It determines both those technologies that receive wide support from the community and those which may be abandoned, thus rendering developers' investments worthless. Aim and Con...
2408.06814
Vaghawan Prasad Ojha
Bishwash Khanal, Sanjay Rijal, Manish Awale and Vaghawan Ojha
Structure-preserving Planar Simplification for Indoor Environments
null
null
null
null
cs.CV cs.CG
http://creativecommons.org/licenses/by/4.0/
This paper presents a novel approach for structure-preserving planar simplification of indoor scene point clouds for both simulated and real-world environments. Initially, the scene point cloud undergoes preprocessing steps, including noise reduction and Manhattan world alignment, to ensure robustness and coherence i...
[ { "created": "Tue, 13 Aug 2024 11:10:26 GMT", "version": "v1" } ]
2024-08-14
[ [ "Khanal", "Bishwash", "" ], [ "Rijal", "Sanjay", "" ], [ "Awale", "Manish", "" ], [ "Ojha", "Vaghawan", "" ] ]
This paper presents a novel approach for structure-preserving planar simplification of indoor scene point clouds for both simulated and real-world environments. Initially, the scene point cloud undergoes preprocessing steps, including noise reduction and Manhattan world alignment, to ensure robustness and coherence in ...
2310.02227
Parshin Shojaee
Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
ICLR 2024 Spotlight Paper
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
In an era where symbolic mathematical equations are indispensable for modeling complex natural phenomena, scientific inquiry often involves collecting observations and translating them into mathematical expressions. Recently, deep learning has emerged as a powerful tool for extracting insights from data. However, exi...
[ { "created": "Tue, 3 Oct 2023 17:32:44 GMT", "version": "v1" }, { "created": "Thu, 19 Oct 2023 13:53:04 GMT", "version": "v2" }, { "created": "Fri, 15 Mar 2024 06:00:29 GMT", "version": "v3" } ]
2024-03-18
[ [ "Meidani", "Kazem", "" ], [ "Shojaee", "Parshin", "" ], [ "Reddy", "Chandan K.", "" ], [ "Farimani", "Amir Barati", "" ] ]
In an era where symbolic mathematical equations are indispensable for modeling complex natural phenomena, scientific inquiry often involves collecting observations and translating them into mathematical expressions. Recently, deep learning has emerged as a powerful tool for extracting insights from data. However, exist...
1908.06148
Govind Mittal
Govind Mittal, Pawel Korus, Nasir Memon
FiFTy: Large-scale File Fragment Type Identification using Neural Networks
Paper accepted for publication in the IEEE Transactions on Information Forensics and Security
null
null
null
cs.CR cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present FiFTy, a modern file type identification tool for memory forensics and data carving. In contrast to previous approaches based on hand-crafted features, we design a compact neural network architecture, which uses a trainable embedding space, akin to successful natural language processing models. Our approac...
[ { "created": "Fri, 16 Aug 2019 19:53:46 GMT", "version": "v1" }, { "created": "Sun, 7 Jun 2020 05:13:26 GMT", "version": "v2" } ]
2020-06-09
[ [ "Mittal", "Govind", "" ], [ "Korus", "Pawel", "" ], [ "Memon", "Nasir", "" ] ]
We present FiFTy, a modern file type identification tool for memory forensics and data carving. In contrast to previous approaches based on hand-crafted features, we design a compact neural network architecture, which uses a trainable embedding space, akin to successful natural language processing models. Our approach ...
1910.09495
Saeed Reza Kheradpisheh
Saeed Reza Kheradpisheh and Timoth\'ee Masquelier
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron
null
International Journal of Neural Systems 2020
10.1142/S0129065720500276
null
cs.NE cs.CV cs.LG q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a new supervised learning rule for multilayer spiking neural networks (SNNs) that use a form of temporal coding known as rank-order-coding. With this coding scheme, all neurons fire exactly one spike per stimulus, but the firing order carries information. In particular, in the readout layer, the first neur...
[ { "created": "Mon, 21 Oct 2019 16:39:42 GMT", "version": "v1" }, { "created": "Thu, 5 Mar 2020 15:43:30 GMT", "version": "v2" }, { "created": "Mon, 13 Apr 2020 09:23:11 GMT", "version": "v3" }, { "created": "Sat, 13 Jun 2020 10:33:19 GMT", "version": "v4" } ]
2020-06-16
[ [ "Kheradpisheh", "Saeed Reza", "" ], [ "Masquelier", "Timothée", "" ] ]
We propose a new supervised learning rule for multilayer spiking neural networks (SNNs) that use a form of temporal coding known as rank-order-coding. With this coding scheme, all neurons fire exactly one spike per stimulus, but the firing order carries information. In particular, in the readout layer, the first neuron...
2207.11365
Tushar Nagarajan
Tushar Nagarajan, Santhosh Kumar Ramakrishnan, Ruta Desai, James Hillis, Kristen Grauman
EgoEnv: Human-centric environment representations from egocentric video
Published in NeurIPS 2023 (Oral)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
First-person video highlights a camera-wearer's activities in the context of their persistent environment. However, current video understanding approaches reason over visual features from short video clips that are detached from the underlying physical space and capture only what is immediately visible. To facilitate...
[ { "created": "Fri, 22 Jul 2022 22:39:57 GMT", "version": "v1" }, { "created": "Thu, 22 Dec 2022 16:39:40 GMT", "version": "v2" }, { "created": "Thu, 9 Nov 2023 19:13:18 GMT", "version": "v3" } ]
2023-11-13
[ [ "Nagarajan", "Tushar", "" ], [ "Ramakrishnan", "Santhosh Kumar", "" ], [ "Desai", "Ruta", "" ], [ "Hillis", "James", "" ], [ "Grauman", "Kristen", "" ] ]
First-person video highlights a camera-wearer's activities in the context of their persistent environment. However, current video understanding approaches reason over visual features from short video clips that are detached from the underlying physical space and capture only what is immediately visible. To facilitate h...
2306.07650
Yuchen Han
Yuchen Han, Chen Xu, Tong Xiao and Jingbo Zhu
Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation
ACL 2023 Main Conference
null
null
null
cs.CL cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pre-training and fine-tuning is a paradigm for alleviating the data scarcity problem in end-to-end speech translation (E2E ST). The commonplace "modality gap" between speech and text data often leads to inconsistent inputs between pre-training and fine-tuning. However, we observe that this gap occurs in the early sta...
[ { "created": "Tue, 13 Jun 2023 09:42:48 GMT", "version": "v1" } ]
2023-06-14
[ [ "Han", "Yuchen", "" ], [ "Xu", "Chen", "" ], [ "Xiao", "Tong", "" ], [ "Zhu", "Jingbo", "" ] ]
Pre-training and fine-tuning is a paradigm for alleviating the data scarcity problem in end-to-end speech translation (E2E ST). The commonplace "modality gap" between speech and text data often leads to inconsistent inputs between pre-training and fine-tuning. However, we observe that this gap occurs in the early stage...
2211.16104
Gianluca Curzi
Gianluca Curzi and Anupam Das
Non-uniform complexity via non-wellfounded proofs
null
null
null
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
Cyclic and non-wellfounded proofs are now increasingly employed to establish metalogical results in a variety of settings, in particular for type systems with forms of (co)induction. Under the Curry-Howard correspondence, a cyclic proof can be seen as a typing derivation 'with loops', closer to low-level machine mode...
[ { "created": "Tue, 29 Nov 2022 11:26:50 GMT", "version": "v1" } ]
2022-11-30
[ [ "Curzi", "Gianluca", "" ], [ "Das", "Anupam", "" ] ]
Cyclic and non-wellfounded proofs are now increasingly employed to establish metalogical results in a variety of settings, in particular for type systems with forms of (co)induction. Under the Curry-Howard correspondence, a cyclic proof can be seen as a typing derivation 'with loops', closer to low-level machine models...
2310.14782
Alexandra Volokhova
Alexandra Volokhova, Micha{\l} Koziarski, Alex Hern\'andez-Garc\'ia, Cheng-Hao Liu, Santiago Miret, Pablo Lemos, Luca Thiede, Zichao Yan, Al\'an Aspuru-Guzik, Yoshua Bengio
Towards equilibrium molecular conformation generation with GFlowNets
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Sampling diverse, thermodynamically feasible molecular conformations plays a crucial role in predicting properties of a molecule. In this paper we propose to use GFlowNet for sampling conformations of small molecules from the Boltzmann distribution, as determined by the molecule's energy. The proposed approach can be...
[ { "created": "Fri, 20 Oct 2023 15:41:50 GMT", "version": "v1" } ]
2023-10-24
[ [ "Volokhova", "Alexandra", "" ], [ "Koziarski", "Michał", "" ], [ "Hernández-García", "Alex", "" ], [ "Liu", "Cheng-Hao", "" ], [ "Miret", "Santiago", "" ], [ "Lemos", "Pablo", "" ], [ "Thiede", "Luca", "" ...
Sampling diverse, thermodynamically feasible molecular conformations plays a crucial role in predicting properties of a molecule. In this paper we propose to use GFlowNet for sampling conformations of small molecules from the Boltzmann distribution, as determined by the molecule's energy. The proposed approach can be u...
1811.08772
Sean MacAvaney
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
Overcoming low-utility facets for complex answer retrieval
This is a pre-print of an article published in Information Retrieval Journal. The final authenticated version (including additional experimental results, analysis, etc.) is available online at: https://doi.org/10.1007/s10791-018-9343-0
Information Retrieval Journal 2018
10.1007/s10791-018-9343-0
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many questions cannot be answered simply; their answers must include numerous nuanced details and additional context. Complex Answer Retrieval (CAR) is the retrieval of answers to such questions. In their simplest form, these questions are constructed from a topic entity (e.g., `cheese') and a facet (e.g., `health ef...
[ { "created": "Wed, 21 Nov 2018 15:09:00 GMT", "version": "v1" } ]
2018-11-22
[ [ "MacAvaney", "Sean", "" ], [ "Yates", "Andrew", "" ], [ "Cohan", "Arman", "" ], [ "Soldaini", "Luca", "" ], [ "Hui", "Kai", "" ], [ "Goharian", "Nazli", "" ], [ "Frieder", "Ophir", "" ] ]
Many questions cannot be answered simply; their answers must include numerous nuanced details and additional context. Complex Answer Retrieval (CAR) is the retrieval of answers to such questions. In their simplest form, these questions are constructed from a topic entity (e.g., `cheese') and a facet (e.g., `health effe...
2012.03682
Elnaz Soleimani
Elnaz Soleimani, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition
null
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The performance of Human Activity Recognition (HAR) models, particularly deep neural networks, is highly contingent upon the availability of the massive amount of annotated training data which should be sufficiently labeled. Though, data acquisition and manual annotation in the HAR domain are prohibitively expensive ...
[ { "created": "Wed, 11 Nov 2020 12:16:23 GMT", "version": "v1" } ]
2020-12-08
[ [ "Soleimani", "Elnaz", "" ], [ "Khodabandelou", "Ghazaleh", "" ], [ "Chibani", "Abdelghani", "" ], [ "Amirat", "Yacine", "" ] ]
The performance of Human Activity Recognition (HAR) models, particularly deep neural networks, is highly contingent upon the availability of the massive amount of annotated training data which should be sufficiently labeled. Though, data acquisition and manual annotation in the HAR domain are prohibitively expensive du...
2211.06153
Sareena Karapoola
Sareena Karapoola, Nikhilesh Singh, Chester Rebeiro, Kamakoti V
SUNDEW: An Ensemble of Predictors for Case-Sensitive Detection of Malware
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-nd/4.0/
Malware programs are diverse, with varying objectives, functionalities, and threat levels ranging from mere pop-ups to financial losses. Consequently, their run-time footprints across the system differ, impacting the optimal data source (Network, Operating system (OS), Hardware) and features that are instrumental to ...
[ { "created": "Fri, 11 Nov 2022 12:13:41 GMT", "version": "v1" }, { "created": "Mon, 14 Nov 2022 08:49:24 GMT", "version": "v2" } ]
2022-11-15
[ [ "Karapoola", "Sareena", "" ], [ "Singh", "Nikhilesh", "" ], [ "Rebeiro", "Chester", "" ], [ "V", "Kamakoti", "" ] ]
Malware programs are diverse, with varying objectives, functionalities, and threat levels ranging from mere pop-ups to financial losses. Consequently, their run-time footprints across the system differ, impacting the optimal data source (Network, Operating system (OS), Hardware) and features that are instrumental to ma...
1507.02563
Wen Shen
Wen Shen and Cristina Lopes
Managing Autonomous Mobility on Demand Systems for Better Passenger Experience
null
Proceedings of the 18th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2015). pp 20-35. Lecture Notes in Computer Science, vol 9387. Springer
10.1007/978-3-319-25524-8_2
null
cs.AI cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomous mobility on demand systems, though still in their infancy, have very promising prospects in providing urban population with sustainable and safe personal mobility in the near future. While much research has been conducted on both autonomous vehicles and mobility on demand systems, to the best of our knowle...
[ { "created": "Thu, 9 Jul 2015 15:43:17 GMT", "version": "v1" } ]
2017-11-23
[ [ "Shen", "Wen", "" ], [ "Lopes", "Cristina", "" ] ]
Autonomous mobility on demand systems, though still in their infancy, have very promising prospects in providing urban population with sustainable and safe personal mobility in the near future. While much research has been conducted on both autonomous vehicles and mobility on demand systems, to the best of our knowledg...
2011.12713
Nima Safari
N. Safari, S.M. Mazhari, C.Y. Chung, S.B. Ko
A Secure Deep Probabilistic Dynamic Thermal Line Rating Prediction
The work is accepted for publication in Journal of Modern Power Systems and Clean Energy
null
null
null
cs.CR cs.LG eess.SP
http://creativecommons.org/licenses/by-nc-sa/4.0/
Accurate short-term prediction of overhead line (OHL) transmission ampacity can directly affect the efficiency of power system operation and planning. Any overestimation of the dynamic thermal line rating (DTLR) can lead to lifetime degradation and failure of OHLs, safety hazards, etc. This paper presents a secure ye...
[ { "created": "Sat, 21 Nov 2020 23:20:58 GMT", "version": "v1" } ]
2020-11-26
[ [ "Safari", "N.", "" ], [ "Mazhari", "S. M.", "" ], [ "Chung", "C. Y.", "" ], [ "Ko", "S. B.", "" ] ]
Accurate short-term prediction of overhead line (OHL) transmission ampacity can directly affect the efficiency of power system operation and planning. Any overestimation of the dynamic thermal line rating (DTLR) can lead to lifetime degradation and failure of OHLs, safety hazards, etc. This paper presents a secure yet ...
2002.10732
Aamir Mahmood
Luca Beltramelli, Aamir Mahmood, Patrik \"Osterberg, and Mikael Gidlund
LoRa beyond ALOHA: An Investigation of Alternative Random Access Protocols
10 pages, 9 figures, final version to appear in IEEE Transactions on Industrial Informatics
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a stochastic geometry-based model to investigate alternative medium access choices for LoRaWAN---a widely adopted low-power wide-area networking (LPWAN) technology for the Internet-of-things (IoT). LoRaWAN adoption is driven by its simplified network architecture, air interface, and medium access. The phys...
[ { "created": "Tue, 25 Feb 2020 08:36:05 GMT", "version": "v1" } ]
2020-02-26
[ [ "Beltramelli", "Luca", "" ], [ "Mahmood", "Aamir", "" ], [ "Österberg", "Patrik", "" ], [ "Gidlund", "Mikael", "" ] ]
We present a stochastic geometry-based model to investigate alternative medium access choices for LoRaWAN---a widely adopted low-power wide-area networking (LPWAN) technology for the Internet-of-things (IoT). LoRaWAN adoption is driven by its simplified network architecture, air interface, and medium access. The physic...
2106.04835
Zichuan Lin
Zichuan Lin, Jing Huang, Bowen Zhou, Xiaodong He, Tengyu Ma
Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System
13 pages
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent work (Takanobu et al., 2020) proposed the system-wise evaluation on dialog systems and found that improvement on individual components (e.g., NLU, policy) in prior work may not necessarily bring benefit to pipeline systems in system-wise evaluation. To improve the system-wise performance, in this paper, we pro...
[ { "created": "Wed, 9 Jun 2021 06:44:57 GMT", "version": "v1" } ]
2021-06-10
[ [ "Lin", "Zichuan", "" ], [ "Huang", "Jing", "" ], [ "Zhou", "Bowen", "" ], [ "He", "Xiaodong", "" ], [ "Ma", "Tengyu", "" ] ]
Recent work (Takanobu et al., 2020) proposed the system-wise evaluation on dialog systems and found that improvement on individual components (e.g., NLU, policy) in prior work may not necessarily bring benefit to pipeline systems in system-wise evaluation. To improve the system-wise performance, in this paper, we propo...
2310.16135
Chenghao Yang
Chenghao Yang, Allyson Ettinger
Can You Follow Me? Testing Situational Understanding in ChatGPT
EMNLP 2023 Main Paper (Camera Ready)
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Understanding sentence meanings and updating information states appropriately across time -- what we call "situational understanding" (SU) -- is a critical ability for human-like AI agents. SU is essential in particular for chat models, such as ChatGPT, to enable consistent, coherent, and effective dialogue between h...
[ { "created": "Tue, 24 Oct 2023 19:22:01 GMT", "version": "v1" } ]
2023-10-26
[ [ "Yang", "Chenghao", "" ], [ "Ettinger", "Allyson", "" ] ]
Understanding sentence meanings and updating information states appropriately across time -- what we call "situational understanding" (SU) -- is a critical ability for human-like AI agents. SU is essential in particular for chat models, such as ChatGPT, to enable consistent, coherent, and effective dialogue between hum...
2209.08189
Andreas Mang
Naveen Himthani and Malte Brunn and Jae-Youn Kim and Miriam Schulte and Andreas Mang and George Biros
CLAIRE -- Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications
32 pages, 9 tables, 8 figures
null
null
null
cs.CV cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the performance of CLAIRE -- a diffeomorphic multi-node, multi-GPU image-registration algorithm, and software -- in large-scale biomedical imaging applications with billions of voxels. At such resolutions, most existing software packages for diffeomorphic image registration are prohibitively expensive. As a ...
[ { "created": "Fri, 16 Sep 2022 22:42:24 GMT", "version": "v1" } ]
2022-09-20
[ [ "Himthani", "Naveen", "" ], [ "Brunn", "Malte", "" ], [ "Kim", "Jae-Youn", "" ], [ "Schulte", "Miriam", "" ], [ "Mang", "Andreas", "" ], [ "Biros", "George", "" ] ]
We study the performance of CLAIRE -- a diffeomorphic multi-node, multi-GPU image-registration algorithm, and software -- in large-scale biomedical imaging applications with billions of voxels. At such resolutions, most existing software packages for diffeomorphic image registration are prohibitively expensive. As a re...
2208.08820
Jiawei Li
Jiawei Li, Ru Zhang, Jianyi Liu, Gongshen Liu
LogKernel A Threat Hunting Approach Based on Behaviour Provenance Graph and Graph Kernel Clustering
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Cyber threat hunting is a proactive search process for hidden threats in the organization's information system. It is a crucial component of active defense against advanced persistent threats (APTs). However, most of the current threat hunting methods rely on Cyber Threat Intelligence(CTI), which can find known attac...
[ { "created": "Thu, 18 Aug 2022 13:28:19 GMT", "version": "v1" } ]
2022-08-19
[ [ "Li", "Jiawei", "" ], [ "Zhang", "Ru", "" ], [ "Liu", "Jianyi", "" ], [ "Liu", "Gongshen", "" ] ]
Cyber threat hunting is a proactive search process for hidden threats in the organization's information system. It is a crucial component of active defense against advanced persistent threats (APTs). However, most of the current threat hunting methods rely on Cyber Threat Intelligence(CTI), which can find known attacks...
0705.1364
Mustaq Ahmed
Mustaq Ahmed and Anna Lubiw
An Approximation Algorithm for Shortest Descending Paths
14 pages, 3 figures
null
null
CS-2007-14
cs.CG cs.DS
null
A path from s to t on a polyhedral terrain is descending if the height of a point p never increases while we move p along the path from s to t. No efficient algorithm is known to find a shortest descending path (SDP) from s to t in a polyhedral terrain. We give a simple approximation algorithm that solves the SDP pro...
[ { "created": "Wed, 9 May 2007 22:02:28 GMT", "version": "v1" } ]
2007-05-23
[ [ "Ahmed", "Mustaq", "" ], [ "Lubiw", "Anna", "" ] ]
A path from s to t on a polyhedral terrain is descending if the height of a point p never increases while we move p along the path from s to t. No efficient algorithm is known to find a shortest descending path (SDP) from s to t in a polyhedral terrain. We give a simple approximation algorithm that solves the SDP probl...
1906.07630
Ankur Kulkarni
Karan N. Chadha and Ankur A. Kulkarni
Aggregate Play and Welfare in Strategic Interactions on Networks
null
null
null
null
cs.GT math.CO math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent work by Bramoull\'{e} and Kranton, a model for the provision of public goods on a network was presented and relations between equilibria of such a game and properties of the network were established. This model was further extended to include games with imperfect substitutability in Bramoull\'{e} et al. The...
[ { "created": "Tue, 18 Jun 2019 15:06:07 GMT", "version": "v1" } ]
2019-06-19
[ [ "Chadha", "Karan N.", "" ], [ "Kulkarni", "Ankur A.", "" ] ]
In recent work by Bramoull\'{e} and Kranton, a model for the provision of public goods on a network was presented and relations between equilibria of such a game and properties of the network were established. This model was further extended to include games with imperfect substitutability in Bramoull\'{e} et al. The v...
2206.07538
Javier Laplaza
Javier Laplaza, Joan Jaume Oliver, Ram\'on Romero, Alberto Sanfeliu and Ana\'is Garrell
Body Gesture Recognition to Control a Social Robot
null
null
null
null
cs.RO cs.CV cs.HC cs.LG
http://creativecommons.org/licenses/by/4.0/
In this work, we propose a gesture based language to allow humans to interact with robots using their body in a natural way. We have created a new gesture detection model using neural networks and a custom dataset of humans performing a set of body gestures to train our network. Furthermore, we compare body gesture c...
[ { "created": "Wed, 15 Jun 2022 13:49:22 GMT", "version": "v1" } ]
2022-06-16
[ [ "Laplaza", "Javier", "" ], [ "Oliver", "Joan Jaume", "" ], [ "Romero", "Ramón", "" ], [ "Sanfeliu", "Alberto", "" ], [ "Garrell", "Anaís", "" ] ]
In this work, we propose a gesture based language to allow humans to interact with robots using their body in a natural way. We have created a new gesture detection model using neural networks and a custom dataset of humans performing a set of body gestures to train our network. Furthermore, we compare body gesture com...
2004.11055
Alma Rahat PhD
Alma Rahat and Michael Wood
On Bayesian Search for the Feasible Space Under Computationally Expensive Constraints
Accepted at The Sixth International Conference on Machine Learning, Optimization, and Data Science. Main content 12 pages, a total of 19 pages with supplementary. 3 Figures and 2 tables. Python code for Bayesian search is available at: http://bitbucket.org/arahat/lod-2020
null
null
null
cs.LG cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We are often interested in identifying the feasible subset of a decision space under multiple constraints to permit effective design exploration. If determining feasibility required computationally expensive simulations, the cost of exploration would be prohibitive. Bayesian search is data-efficient for such problems...
[ { "created": "Thu, 23 Apr 2020 10:22:32 GMT", "version": "v1" }, { "created": "Wed, 24 Jun 2020 12:00:05 GMT", "version": "v2" } ]
2020-06-25
[ [ "Rahat", "Alma", "" ], [ "Wood", "Michael", "" ] ]
We are often interested in identifying the feasible subset of a decision space under multiple constraints to permit effective design exploration. If determining feasibility required computationally expensive simulations, the cost of exploration would be prohibitive. Bayesian search is data-efficient for such problems: ...
2208.02235
Roman Orus
Raj Patel, Chia-Wei Hsing, Serkan Sahin, Saeed S. Jahromi, Samuel Palmer, Shivam Sharma, Christophe Michel, Vincent Porte, Mustafa Abid, Stephane Aubert, Pierre Castellani, Chi-Guhn Lee, Samuel Mugel, Roman Orus
Quantum-Inspired Tensor Neural Networks for Partial Differential Equations
14 pages, 11 figures, minimal changes
null
null
null
cs.LG cond-mat.str-el cs.AI physics.comp-ph quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Partial Differential Equations (PDEs) are used to model a variety of dynamical systems in science and engineering. Recent advances in deep learning have enabled us to solve them in a higher dimension by addressing the curse of dimensionality in new ways. However, deep learning methods are constrained by training time...
[ { "created": "Wed, 3 Aug 2022 17:41:11 GMT", "version": "v1" }, { "created": "Wed, 10 Aug 2022 08:07:10 GMT", "version": "v2" } ]
2022-08-11
[ [ "Patel", "Raj", "" ], [ "Hsing", "Chia-Wei", "" ], [ "Sahin", "Serkan", "" ], [ "Jahromi", "Saeed S.", "" ], [ "Palmer", "Samuel", "" ], [ "Sharma", "Shivam", "" ], [ "Michel", "Christophe", "" ], [ ...
Partial Differential Equations (PDEs) are used to model a variety of dynamical systems in science and engineering. Recent advances in deep learning have enabled us to solve them in a higher dimension by addressing the curse of dimensionality in new ways. However, deep learning methods are constrained by training time a...
1905.05253
Alexander Kott
Michael J. De Lucia, Allison Newcomb, Alexander Kott
Features and Operation of an Autonomous Agent for Cyber Defense
null
CSIAC Journal, v.7, n.1, April 2019, pp.6-13
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An ever increasing number of battlefield devices that are capable of collecting, processing, storing, and communicating information are rapidly becoming interconnected. The staggering number of connected devices on the battlefield greatly increases the possibility that an adversary could find ways to exploit hardware...
[ { "created": "Mon, 13 May 2019 19:18:25 GMT", "version": "v1" } ]
2019-05-15
[ [ "De Lucia", "Michael J.", "" ], [ "Newcomb", "Allison", "" ], [ "Kott", "Alexander", "" ] ]
An ever increasing number of battlefield devices that are capable of collecting, processing, storing, and communicating information are rapidly becoming interconnected. The staggering number of connected devices on the battlefield greatly increases the possibility that an adversary could find ways to exploit hardware o...
2306.01072
Niloy Saha
Niloy Saha, Nashid Shahriar, Raouf Boutaba and Aladdin Saleh
MonArch: Network Slice Monitoring Architecture for Cloud Native 5G Deployments
Accepted at IEEE/IFIP NOMS 2023
null
null
null
cs.NI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Automated decision making algorithms are expected to play a key role in management and orchestration of network slices in 5G and beyond networks. State-of-the-art algorithms for automated orchestration and management tend to rely on data-driven methods which require a timely and accurate view of the network. Accurate...
[ { "created": "Thu, 1 Jun 2023 18:19:12 GMT", "version": "v1" } ]
2023-06-05
[ [ "Saha", "Niloy", "" ], [ "Shahriar", "Nashid", "" ], [ "Boutaba", "Raouf", "" ], [ "Saleh", "Aladdin", "" ] ]
Automated decision making algorithms are expected to play a key role in management and orchestration of network slices in 5G and beyond networks. State-of-the-art algorithms for automated orchestration and management tend to rely on data-driven methods which require a timely and accurate view of the network. Accurately...
2201.01688
Daniel Diethei
Daniel Diethei, Ashley Colley, Julian Wienert, Johannes Sch\"oning
Different Length, Different Needs: Qualitative Analysis of Threads in Online Health Communities
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Online health communities provide a knowledge exchange platform for a wide range of diseases and health conditions. Informational and emotional support helps forum participants orient around health issues beyond in-person doctor visits. So far, little is known about the relation between the level of participation and...
[ { "created": "Wed, 5 Jan 2022 16:32:28 GMT", "version": "v1" }, { "created": "Thu, 20 Jan 2022 13:28:25 GMT", "version": "v2" } ]
2022-01-21
[ [ "Diethei", "Daniel", "" ], [ "Colley", "Ashley", "" ], [ "Wienert", "Julian", "" ], [ "Schöning", "Johannes", "" ] ]
Online health communities provide a knowledge exchange platform for a wide range of diseases and health conditions. Informational and emotional support helps forum participants orient around health issues beyond in-person doctor visits. So far, little is known about the relation between the level of participation and p...
2407.14695
Alejandro Leonardo Garc\'ia Navarro
Alejandro L. Garc\'ia Navarro, Nataliia Koneva, Alfonso S\'anchez-Maci\'an, Jos\'e Alberto Hern\'andez
A Comprehensive Guide to Combining R and Python code for Data Science, Machine Learning and Reinforcement Learning
null
null
null
null
cs.LG cs.PL
http://creativecommons.org/licenses/by/4.0/
Python has gained widespread popularity in the fields of machine learning, artificial intelligence, and data engineering due to its effectiveness and extensive libraries. R, on its side, remains a dominant language for statistical analysis and visualization. However, certain libraries have become outdated, limiting t...
[ { "created": "Fri, 19 Jul 2024 23:01:48 GMT", "version": "v1" } ]
2024-07-23
[ [ "Navarro", "Alejandro L. García", "" ], [ "Koneva", "Nataliia", "" ], [ "Sánchez-Macián", "Alfonso", "" ], [ "Hernández", "José Alberto", "" ] ]
Python has gained widespread popularity in the fields of machine learning, artificial intelligence, and data engineering due to its effectiveness and extensive libraries. R, on its side, remains a dominant language for statistical analysis and visualization. However, certain libraries have become outdated, limiting the...
2007.03988
Quanming Yao
Yu Liu and Quanming Yao and Yong Li
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases
WWW 2020
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the rapid development of knowledge bases (KBs), link prediction task, which completes KBs with missing facts, has been broadly studied in especially binary relational KBs (a.k.a knowledge graph) with powerful tensor decomposition related methods. However, the ubiquitous n-ary relational KBs with higher-arity rel...
[ { "created": "Wed, 8 Jul 2020 09:49:38 GMT", "version": "v1" } ]
2020-07-09
[ [ "Liu", "Yu", "" ], [ "Yao", "Quanming", "" ], [ "Li", "Yong", "" ] ]
With the rapid development of knowledge bases (KBs), link prediction task, which completes KBs with missing facts, has been broadly studied in especially binary relational KBs (a.k.a knowledge graph) with powerful tensor decomposition related methods. However, the ubiquitous n-ary relational KBs with higher-arity relat...
cs/0403041
Mingsheng Ying
Mingsheng Ying
A Theory of Computation Based on Quantum Logic (I)
null
Theoretical Computer Science 344(2-3): 134-207 (2005)
null
null
cs.LO
null
The (meta)logic underlying classical theory of computation is Boolean (two-valued) logic. Quantum logic was proposed by Birkhoff and von Neumann as a logic of quantum mechanics more than sixty years ago. The major difference between Boolean logic and quantum logic is that the latter does not enjoy distributivity in g...
[ { "created": "Mon, 29 Mar 2004 15:20:32 GMT", "version": "v1" } ]
2013-04-02
[ [ "Ying", "Mingsheng", "" ] ]
The (meta)logic underlying classical theory of computation is Boolean (two-valued) logic. Quantum logic was proposed by Birkhoff and von Neumann as a logic of quantum mechanics more than sixty years ago. The major difference between Boolean logic and quantum logic is that the latter does not enjoy distributivity in gen...
2010.05514
Luca Bedogni
Luca Bedogni, Shakila Khan Rumi, Flora Salim
Modelling Memory for Individual Re-identification in Decentralised Mobile Contact Tracing Applications
null
null
null
null
cs.CY cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In 2020 the coronavirus outbreak changed the lives of people worldwide. After an initial time period in which it was unclear how to battle the virus, social distancing has been recognised globally as an effective method to mitigate the disease spread. This called for technological tools such as Mobile Contact Tracing...
[ { "created": "Mon, 12 Oct 2020 08:10:54 GMT", "version": "v1" }, { "created": "Fri, 13 Nov 2020 08:59:54 GMT", "version": "v2" } ]
2020-11-16
[ [ "Bedogni", "Luca", "" ], [ "Rumi", "Shakila Khan", "" ], [ "Salim", "Flora", "" ] ]
In 2020 the coronavirus outbreak changed the lives of people worldwide. After an initial time period in which it was unclear how to battle the virus, social distancing has been recognised globally as an effective method to mitigate the disease spread. This called for technological tools such as Mobile Contact Tracing A...
0909.1870
David Eppstein
David Eppstein
Paired approximation problems and incompatible inapproximabilities
13 pages, 3 figures. To appear at 21st ACM-SIAM Symp. Discrete Algorithms (SODA 2010)
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers pairs of optimization problems that are defined from a single input and for which it is desired to find a good approximation to either one of the problems. In many instances, it is possible to efficiently find an approximation of this type that is better than known inapproximability lower bounds ...
[ { "created": "Thu, 10 Sep 2009 05:23:43 GMT", "version": "v1" } ]
2009-09-11
[ [ "Eppstein", "David", "" ] ]
This paper considers pairs of optimization problems that are defined from a single input and for which it is desired to find a good approximation to either one of the problems. In many instances, it is possible to efficiently find an approximation of this type that is better than known inapproximability lower bounds fo...
2112.01917
Guillermo Ortiz-Jimenez
Gizem Y\"uce, Guillermo Ortiz-Jim\'enez, Beril Besbinar, Pascal Frossard
A Structured Dictionary Perspective on Implicit Neural Representations
Accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 (26 pages, 16 figures)
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
Implicit neural representations (INRs) have recently emerged as a promising alternative to classical discretized representations of signals. Nevertheless, despite their practical success, we still do not understand how INRs represent signals. We propose a novel unified perspective to theoretically analyse INRs. Lever...
[ { "created": "Fri, 3 Dec 2021 14:00:52 GMT", "version": "v1" }, { "created": "Fri, 25 Mar 2022 16:03:32 GMT", "version": "v2" } ]
2022-03-28
[ [ "Yüce", "Gizem", "" ], [ "Ortiz-Jiménez", "Guillermo", "" ], [ "Besbinar", "Beril", "" ], [ "Frossard", "Pascal", "" ] ]
Implicit neural representations (INRs) have recently emerged as a promising alternative to classical discretized representations of signals. Nevertheless, despite their practical success, we still do not understand how INRs represent signals. We propose a novel unified perspective to theoretically analyse INRs. Leverag...
2401.02081
Tianchen Liu
Tianchen Liu, Liang Wu, Bo An, Zaichen Zhang, Jian Dang and Jiangzhou Wang
Performance Trade-off and Joint Waveform Design for MIMO-OFDM DFRC Systems
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dual-functional radar-communication (DFRC) has attracted considerable attention. This paper considers the frequency-selective multipath fading environment and proposes DFRC waveform design strategies based on multiple-input and multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) techniques. I...
[ { "created": "Thu, 4 Jan 2024 06:05:29 GMT", "version": "v1" } ]
2024-01-05
[ [ "Liu", "Tianchen", "" ], [ "Wu", "Liang", "" ], [ "An", "Bo", "" ], [ "Zhang", "Zaichen", "" ], [ "Dang", "Jian", "" ], [ "Wang", "Jiangzhou", "" ] ]
Dual-functional radar-communication (DFRC) has attracted considerable attention. This paper considers the frequency-selective multipath fading environment and proposes DFRC waveform design strategies based on multiple-input and multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) techniques. In ...
1304.2683
Nan Yao
Yao Nan, Qian Feng and Sun Zuolei
Image Classification by Feature Dimension Reduction and Graph based Ranking
4 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dimensionality reduction (DR) of image features plays an important role in image retrieval and classification tasks. Recently, two types of methods have been proposed to improve the both the accuracy and efficiency for the dimensionality reduction problem. One uses Non-negative matrix factorization (NMF) to describe ...
[ { "created": "Tue, 9 Apr 2013 18:11:08 GMT", "version": "v1" } ]
2013-04-10
[ [ "Nan", "Yao", "" ], [ "Feng", "Qian", "" ], [ "Zuolei", "Sun", "" ] ]
Dimensionality reduction (DR) of image features plays an important role in image retrieval and classification tasks. Recently, two types of methods have been proposed to improve the both the accuracy and efficiency for the dimensionality reduction problem. One uses Non-negative matrix factorization (NMF) to describe th...
2002.06714
Qiang Wang
Qiang Wang, Fuxue Li, Tong Xiao, Yanyang Li, Yinqiao Li, Jingbo Zhu
Multi-layer Representation Fusion for Neural Machine Translation
COLING 2018
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural machine translation systems require a number of stacked layers for deep models. But the prediction depends on the sentence representation of the top-most layer with no access to low-level representations. This makes it more difficult to train the model and poses a risk of information loss to prediction. In thi...
[ { "created": "Sun, 16 Feb 2020 23:53:07 GMT", "version": "v1" } ]
2020-02-18
[ [ "Wang", "Qiang", "" ], [ "Li", "Fuxue", "" ], [ "Xiao", "Tong", "" ], [ "Li", "Yanyang", "" ], [ "Li", "Yinqiao", "" ], [ "Zhu", "Jingbo", "" ] ]
Neural machine translation systems require a number of stacked layers for deep models. But the prediction depends on the sentence representation of the top-most layer with no access to low-level representations. This makes it more difficult to train the model and poses a risk of information loss to prediction. In this ...
2206.00253
Ning Luo
Ning Luo and Linlin Zhang
Intelligent UNIT LEVEL TEST Generator for Enhanced Software Quality
10 pages, 6 figures
8th International Conference on Software Engineering (SEC 2022)
null
null
cs.SE
http://creativecommons.org/licenses/by-nc-sa/4.0/
Unit level test has been widely recognized as an important approach to improve the software quality, as it can expose bugs earlier during the development phase. However, manual unit level test development is often tedious and insufficient. Also, it is hard for developers to precisely identify the most error prone cod...
[ { "created": "Wed, 1 Jun 2022 06:33:48 GMT", "version": "v1" } ]
2022-06-02
[ [ "Luo", "Ning", "" ], [ "Zhang", "Linlin", "" ] ]
Unit level test has been widely recognized as an important approach to improve the software quality, as it can expose bugs earlier during the development phase. However, manual unit level test development is often tedious and insufficient. Also, it is hard for developers to precisely identify the most error prone code ...
1907.09695
Shivangi Srivastava
Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko, Devis Tuia
Adaptive Compression-based Lifelong Learning
Accepted at BMVC 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of a deep learning model losing performance on a previously learned task when fine-tuned to a new one is a phenomenon known as Catastrophic forgetting. There are two major ways to mitigate this problem: either preserving activations of the initial network during training with a new task; or restricting th...
[ { "created": "Tue, 23 Jul 2019 04:58:52 GMT", "version": "v1" } ]
2019-07-24
[ [ "Srivastava", "Shivangi", "" ], [ "Berman", "Maxim", "" ], [ "Blaschko", "Matthew B.", "" ], [ "Tuia", "Devis", "" ] ]
The problem of a deep learning model losing performance on a previously learned task when fine-tuned to a new one is a phenomenon known as Catastrophic forgetting. There are two major ways to mitigate this problem: either preserving activations of the initial network during training with a new task; or restricting the ...
2103.03011
Chen-Huan Pi
Chen-Huan Pi, Kai-Chun Hu, Yu-Ting Huang, Stone Cheng
Reinforcement Learning Trajectory Generation and Control for Aggressive Perching on Vertical Walls with Quadrotors
null
null
null
null
cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
Micro aerial vehicles are widely being researched and employed due to their relative low operation costs and high flexibility in various applications. We study the under-actuated quadrotor perching problem, designing a trajectory planner and controller which generates feasible trajectories and drives quadrotors to de...
[ { "created": "Thu, 4 Mar 2021 13:20:05 GMT", "version": "v1" } ]
2021-03-05
[ [ "Pi", "Chen-Huan", "" ], [ "Hu", "Kai-Chun", "" ], [ "Huang", "Yu-Ting", "" ], [ "Cheng", "Stone", "" ] ]
Micro aerial vehicles are widely being researched and employed due to their relative low operation costs and high flexibility in various applications. We study the under-actuated quadrotor perching problem, designing a trajectory planner and controller which generates feasible trajectories and drives quadrotors to desi...
2401.16937
Magnus Andersson
Saqib Qamar, Abu Imran Baba, St\'ephane Verger, Magnus Andersson
Segmentation and Characterization of Macerated Fibers and Vessels Using Deep Learning
7 figures
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Wood comprises different cell types, such as fibers, tracheids and vessels, defining its properties. Studying cells' shape, size, and arrangement in microscopy images is crucial for understanding wood characteristics. Typically, this involves macerating (soaking) samples in a solution to separate cells, then spreadin...
[ { "created": "Tue, 30 Jan 2024 12:04:56 GMT", "version": "v1" }, { "created": "Tue, 18 Jun 2024 11:02:49 GMT", "version": "v2" } ]
2024-06-19
[ [ "Qamar", "Saqib", "" ], [ "Baba", "Abu Imran", "" ], [ "Verger", "Stéphane", "" ], [ "Andersson", "Magnus", "" ] ]
Wood comprises different cell types, such as fibers, tracheids and vessels, defining its properties. Studying cells' shape, size, and arrangement in microscopy images is crucial for understanding wood characteristics. Typically, this involves macerating (soaking) samples in a solution to separate cells, then spreading ...
2212.02941
Shamil Mamedov
Shamil Mamedov, Rudolf Reiter, Seyed Mahdi Basiri Azad, Ruan Viljoen, Joschka Boedecker, Moritz Diehl, Jan Swevers
Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots
Accepted to IROS 2024
null
null
null
cs.RO cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Flexible robots may overcome some of the industry's major challenges, such as enabling intrinsically safe human-robot collaboration and achieving a higher payload-to-mass ratio. However, controlling flexible robots is complicated due to their complex dynamics, which include oscillatory behavior and a high-dimensional...
[ { "created": "Tue, 6 Dec 2022 12:54:08 GMT", "version": "v1" }, { "created": "Thu, 28 Sep 2023 07:34:32 GMT", "version": "v2" }, { "created": "Wed, 14 Aug 2024 20:40:17 GMT", "version": "v3" } ]
2024-08-16
[ [ "Mamedov", "Shamil", "" ], [ "Reiter", "Rudolf", "" ], [ "Azad", "Seyed Mahdi Basiri", "" ], [ "Viljoen", "Ruan", "" ], [ "Boedecker", "Joschka", "" ], [ "Diehl", "Moritz", "" ], [ "Swevers", "Jan", "" ] ...
Flexible robots may overcome some of the industry's major challenges, such as enabling intrinsically safe human-robot collaboration and achieving a higher payload-to-mass ratio. However, controlling flexible robots is complicated due to their complex dynamics, which include oscillatory behavior and a high-dimensional s...
2404.08008
Kehua Feng
Kehua Feng, Keyan Ding, Kede Ma, Zhihua Wang, Qiang Zhang, Huajun Chen
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
32 pages, 6 figures
null
null
null
cs.LG cs.CL cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The past years have witnessed a proliferation of large language models (LLMs). Yet, automated and unbiased evaluation of LLMs is challenging due to the inaccuracy of standard metrics in reflecting human preferences and the inefficiency in sampling informative and diverse test examples. While human evaluation remains ...
[ { "created": "Wed, 10 Apr 2024 01:26:24 GMT", "version": "v1" } ]
2024-04-15
[ [ "Feng", "Kehua", "" ], [ "Ding", "Keyan", "" ], [ "Ma", "Kede", "" ], [ "Wang", "Zhihua", "" ], [ "Zhang", "Qiang", "" ], [ "Chen", "Huajun", "" ] ]
The past years have witnessed a proliferation of large language models (LLMs). Yet, automated and unbiased evaluation of LLMs is challenging due to the inaccuracy of standard metrics in reflecting human preferences and the inefficiency in sampling informative and diverse test examples. While human evaluation remains th...
2109.10047
Guosheng Feng
Guosheng Feng, Chunnan Wang, Hongzhi Wang
Search For Deep Graph Neural Networks
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current GNN-oriented NAS methods focus on the search for different layer aggregate components with shallow and simple architectures, which are limited by the 'over-smooth' problem. To further explore the benefits from structural diversity and depth of GNN architectures, we propose a GNN generation pipeline with a nov...
[ { "created": "Tue, 21 Sep 2021 09:24:59 GMT", "version": "v1" } ]
2021-09-22
[ [ "Feng", "Guosheng", "" ], [ "Wang", "Chunnan", "" ], [ "Wang", "Hongzhi", "" ] ]
Current GNN-oriented NAS methods focus on the search for different layer aggregate components with shallow and simple architectures, which are limited by the 'over-smooth' problem. To further explore the benefits from structural diversity and depth of GNN architectures, we propose a GNN generation pipeline with a novel...
1508.02479
Heejin Choi
Heejin Choi, Yutaka Sasaki, Nathan Srebro
Normalized Hierarchical SVM
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present improved methods of using structured SVMs in a large-scale hierarchical classification problem, that is when labels are leaves, or sets of leaves, in a tree or a DAG. We examine the need to normalize both the regularization and the margin and show how doing so significantly improves performance, including ...
[ { "created": "Tue, 11 Aug 2015 03:34:33 GMT", "version": "v1" }, { "created": "Fri, 4 Mar 2016 18:53:19 GMT", "version": "v2" } ]
2016-03-07
[ [ "Choi", "Heejin", "" ], [ "Sasaki", "Yutaka", "" ], [ "Srebro", "Nathan", "" ] ]
We present improved methods of using structured SVMs in a large-scale hierarchical classification problem, that is when labels are leaves, or sets of leaves, in a tree or a DAG. We examine the need to normalize both the regularization and the margin and show how doing so significantly improves performance, including al...
1408.1482
Joseph Y. Halpern
Joseph Y. Halpern
Axiomatizing Causal Reasoning
Appears in Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI1998)
null
null
UAI-P-1998-PG-202-210
cs.AI cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Causal models defined in terms of a collection of equations, as defined by Pearl, are axiomatized here. Axiomatizations are provided for three successively more general classes of causal models: (1) the class of recursive theories (those without feedback), (2) the class of theories where the solutions to the equation...
[ { "created": "Thu, 7 Aug 2014 06:24:41 GMT", "version": "v1" } ]
2014-08-08
[ [ "Halpern", "Joseph Y.", "" ] ]
Causal models defined in terms of a collection of equations, as defined by Pearl, are axiomatized here. Axiomatizations are provided for three successively more general classes of causal models: (1) the class of recursive theories (those without feedback), (2) the class of theories where the solutions to the equations ...
2104.12868
Ali Akbar Sadat Asl
Ali Akbar Sadat Asl, Mohammad Mahdi Ershadi, Shahabeddin Sotudian, Xingyu Li, Scott Dick
Fuzzy Expert Systems for Prediction of ICU Admission in Patients with COVID-19
null
null
10.3233/IDT-200220
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
The pandemic COVID-19 disease has had a dramatic impact on almost all countries around the world so that many hospitals have been overwhelmed with Covid-19 cases. As medical resources are limited, deciding on the proper allocation of these resources is a very crucial issue. Besides, uncertainty is a major factor that...
[ { "created": "Thu, 22 Apr 2021 05:12:49 GMT", "version": "v1" }, { "created": "Tue, 7 Feb 2023 03:24:44 GMT", "version": "v2" }, { "created": "Wed, 8 Feb 2023 11:25:27 GMT", "version": "v3" } ]
2023-02-09
[ [ "Asl", "Ali Akbar Sadat", "" ], [ "Ershadi", "Mohammad Mahdi", "" ], [ "Sotudian", "Shahabeddin", "" ], [ "Li", "Xingyu", "" ], [ "Dick", "Scott", "" ] ]
The pandemic COVID-19 disease has had a dramatic impact on almost all countries around the world so that many hospitals have been overwhelmed with Covid-19 cases. As medical resources are limited, deciding on the proper allocation of these resources is a very crucial issue. Besides, uncertainty is a major factor that c...
2111.06750
Guannan Lou
Guannan Lou, Yuze Liu, Tiehua Zhang, Xi Zheng
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a spatial-temporal federated learning framework for graph neural networks, namely STFL. The framework explores the underlying correlation of the input spatial-temporal data and transform it to both node features and adjacency matrix. The federated learning setting in the framework ensures data privacy whil...
[ { "created": "Fri, 12 Nov 2021 14:55:57 GMT", "version": "v1" }, { "created": "Tue, 11 Jan 2022 08:38:21 GMT", "version": "v2" } ]
2022-01-12
[ [ "Lou", "Guannan", "" ], [ "Liu", "Yuze", "" ], [ "Zhang", "Tiehua", "" ], [ "Zheng", "Xi", "" ] ]
We present a spatial-temporal federated learning framework for graph neural networks, namely STFL. The framework explores the underlying correlation of the input spatial-temporal data and transform it to both node features and adjacency matrix. The federated learning setting in the framework ensures data privacy while ...
1002.2294
Jean-Marc Seigneur
Jean-Marc Seigneur, Xavier Titi
Reputation-based Telecommunication Network Selection
Published in the Proceedings of the 2009 IADIS e-Society International Conference
null
null
null
cs.NI cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nowadays, mobile users can switch between different available networks, for example, nearby WiFi networks or their standard mobile operator network. Soon it will be extended to other operators. However, unless telecommunication operators can directly benefit from allowing a user to switch to another operator, operato...
[ { "created": "Thu, 11 Feb 2010 08:26:47 GMT", "version": "v1" } ]
2010-02-12
[ [ "Seigneur", "Jean-Marc", "" ], [ "Titi", "Xavier", "" ] ]
Nowadays, mobile users can switch between different available networks, for example, nearby WiFi networks or their standard mobile operator network. Soon it will be extended to other operators. However, unless telecommunication operators can directly benefit from allowing a user to switch to another operator, operators...
2104.14098
S. Akshay
Preey Shah, Aman Bansal, S. Akshay and Supratik Chakraborty
A Normal Form Characterization for Efficient Boolean Skolem Function Synthesis
Full version of conference paper accepted at LICS'2021
null
null
null
cs.LO cs.AI
http://creativecommons.org/licenses/by-sa/4.0/
Boolean Skolem function synthesis concerns synthesizing outputs as Boolean functions of inputs such that a relational specification between inputs and outputs is satisfied. This problem, also known as Boolean functional synthesis, has several applications, including design of safe controllers for autonomous systems, ...
[ { "created": "Thu, 29 Apr 2021 04:16:41 GMT", "version": "v1" }, { "created": "Mon, 28 Jun 2021 12:52:38 GMT", "version": "v2" } ]
2021-06-29
[ [ "Shah", "Preey", "" ], [ "Bansal", "Aman", "" ], [ "Akshay", "S.", "" ], [ "Chakraborty", "Supratik", "" ] ]
Boolean Skolem function synthesis concerns synthesizing outputs as Boolean functions of inputs such that a relational specification between inputs and outputs is satisfied. This problem, also known as Boolean functional synthesis, has several applications, including design of safe controllers for autonomous systems, ce...
2309.13908
Jie Luo
Jie Luo, Jakub Tomczak, Karine Miras, Agoston E. Eiben
A comparison of controller architectures and learning mechanisms for arbitrary robot morphologies
null
null
null
null
cs.RO cs.AI cs.LG cs.NE
http://creativecommons.org/licenses/by/4.0/
The main question this paper addresses is: What combination of a robot controller and a learning method should be used, if the morphology of the learning robot is not known in advance? Our interest is rooted in the context of morphologically evolving modular robots, but the question is also relevant in general, for s...
[ { "created": "Mon, 25 Sep 2023 07:11:43 GMT", "version": "v1" } ]
2023-09-26
[ [ "Luo", "Jie", "" ], [ "Tomczak", "Jakub", "" ], [ "Miras", "Karine", "" ], [ "Eiben", "Agoston E.", "" ] ]
The main question this paper addresses is: What combination of a robot controller and a learning method should be used, if the morphology of the learning robot is not known in advance? Our interest is rooted in the context of morphologically evolving modular robots, but the question is also relevant in general, for sys...
2101.07725
Muhammad AL-Qurishi Dr
Majed Alrubaian, Muhammad Al-Qurishi, Sherif Omar and Mohamed A. Mostafa
DeepTrust: A Deep Learning Approach for Measuring Social Media Users Trustworthiness
18 pages,6 figures
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Veracity of data posted on the microblog platforms has in recent years been a subject of intensive study by professionals specializing in various fields of informatics as well as sociology, particularly in the light of increasing importance of online tools for news spreading. On Twitter and similar sites, it is possi...
[ { "created": "Tue, 19 Jan 2021 16:55:32 GMT", "version": "v1" } ]
2021-01-20
[ [ "Alrubaian", "Majed", "" ], [ "Al-Qurishi", "Muhammad", "" ], [ "Omar", "Sherif", "" ], [ "Mostafa", "Mohamed A.", "" ] ]
Veracity of data posted on the microblog platforms has in recent years been a subject of intensive study by professionals specializing in various fields of informatics as well as sociology, particularly in the light of increasing importance of online tools for news spreading. On Twitter and similar sites, it is possibl...
1607.05812
Esmitt Ram\'irez
Juan Perozo, Mimia Lo Leung, Esmitt Ram\'irez
HoloMed: A Low-Cost Gesture-Based Holographic
English version of an accepted paper in the Proceedings of the 4th Simposio Cient\'ifico y Tecnol\'ogico en Computaci\'on, 160-168. May 2016. Original version in spanish http://ccg.ciens.ucv.ve/~esmitt/publications/2016/SCTC2016.pdf
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
During medicine studies, visualization of certain elements is common and indispensable in order to get more information about the way they work. Currently, we resort to the use of photographs -which are insufficient due to being static- or tests in patients, which can be invasive or even risky. Therefore, a low-cost ...
[ { "created": "Wed, 20 Jul 2016 04:00:44 GMT", "version": "v1" } ]
2016-07-21
[ [ "Perozo", "Juan", "" ], [ "Leung", "Mimia Lo", "" ], [ "Ramírez", "Esmitt", "" ] ]
During medicine studies, visualization of certain elements is common and indispensable in order to get more information about the way they work. Currently, we resort to the use of photographs -which are insufficient due to being static- or tests in patients, which can be invasive or even risky. Therefore, a low-cost ap...
1704.01175
Jens Braband
Jens Braband
Towards an IT Security Risk Assessment Framework for Railway Automation
14 pages, 3 figures
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Some recent incidents have shown that possibly the vulnerability of IT systems in railway automation has been underestimated. Fortunately, so far, almost only denial-of-service attacks were successful, but due to several trends, such as the use of commercial IT and communication systems or privatization, the threat p...
[ { "created": "Tue, 4 Apr 2017 20:33:04 GMT", "version": "v1" } ]
2017-04-06
[ [ "Braband", "Jens", "" ] ]
Some recent incidents have shown that possibly the vulnerability of IT systems in railway automation has been underestimated. Fortunately, so far, almost only denial-of-service attacks were successful, but due to several trends, such as the use of commercial IT and communication systems or privatization, the threat pot...
2401.16832
Kai Hartung
Panagiotis Pagonis and Kai Hartung and Di Wu and Munir Georges and S\"oren Gr\"ottrup
Analysis of Knowledge Tracing performance on synthesised student data
Accepted at AI4AI Education workshop 2023 ( https://sme.uni-bamberg.de/ai4ai/ )
null
null
null
cs.CY cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Knowledge Tracing (KT) aims to predict the future performance of students by tracking the development of their knowledge states. Despite all the recent progress made in this field, the application of KT models in education systems is still restricted from the data perspectives: 1) limited access to real life data due...
[ { "created": "Tue, 30 Jan 2024 09:19:50 GMT", "version": "v1" } ]
2024-01-31
[ [ "Pagonis", "Panagiotis", "" ], [ "Hartung", "Kai", "" ], [ "Wu", "Di", "" ], [ "Georges", "Munir", "" ], [ "Gröttrup", "Sören", "" ] ]
Knowledge Tracing (KT) aims to predict the future performance of students by tracking the development of their knowledge states. Despite all the recent progress made in this field, the application of KT models in education systems is still restricted from the data perspectives: 1) limited access to real life data due t...
2110.04126
Hannes St\"ark
Hannes St\"ark, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan G\"unnemann, Pietro Li\`o
3D Infomax improves GNNs for Molecular Property Prediction
39th International Conference on Machine Learning (ICML 2022). Also accepted at NeurIPS 2021 ML4PH, AI4S, and SSL workshops and as oral at ELLIS ML4Molecules. 24 pages, 7 figures, 18 tables
39th International Conference on Machine Learning (ICML 2022)
null
null
cs.LG cs.AI q-bio.BM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Molecular property prediction is one of the fastest-growing applications of deep learning with critical real-world impacts. Including 3D molecular structure as input to learned models improves their performance for many molecular tasks. However, this information is infeasible to compute at the scale required by sever...
[ { "created": "Fri, 8 Oct 2021 13:30:49 GMT", "version": "v1" }, { "created": "Sat, 27 Nov 2021 06:54:40 GMT", "version": "v2" }, { "created": "Mon, 23 May 2022 21:48:48 GMT", "version": "v3" }, { "created": "Sat, 4 Jun 2022 22:57:54 GMT", "version": "v4" } ]
2022-06-07
[ [ "Stärk", "Hannes", "" ], [ "Beaini", "Dominique", "" ], [ "Corso", "Gabriele", "" ], [ "Tossou", "Prudencio", "" ], [ "Dallago", "Christian", "" ], [ "Günnemann", "Stephan", "" ], [ "Liò", "Pietro", "" ] ...
Molecular property prediction is one of the fastest-growing applications of deep learning with critical real-world impacts. Including 3D molecular structure as input to learned models improves their performance for many molecular tasks. However, this information is infeasible to compute at the scale required by several...
1811.00692
Yuanpeng Li
Yuanpeng Li, Yi Yang, Jianyu Wang, Wei Xu
Zero-Shot Transfer VQA Dataset
null
null
null
null
cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Acquiring a large vocabulary is an important aspect of human intelligence. Onecommon approach for human to populating vocabulary is to learn words duringreading or listening, and then use them in writing or speaking. This ability totransfer from input to output is natural for human, but it is difficult for machines.H...
[ { "created": "Fri, 2 Nov 2018 01:02:49 GMT", "version": "v1" } ]
2018-11-05
[ [ "Li", "Yuanpeng", "" ], [ "Yang", "Yi", "" ], [ "Wang", "Jianyu", "" ], [ "Xu", "Wei", "" ] ]
Acquiring a large vocabulary is an important aspect of human intelligence. Onecommon approach for human to populating vocabulary is to learn words duringreading or listening, and then use them in writing or speaking. This ability totransfer from input to output is natural for human, but it is difficult for machines.Hum...
2109.06810
Akash Patel
Akash Patel, Avijit Banerjee, Bjorn Lindqvist, Christoforos Kanellakis, George Nikolakopoulos
Design and Model Predictive Control of Mars Coaxial Quadrotor
null
null
10.1109/AERO53065.2022.9843799
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mars has been a prime candidate for planetary exploration of the solar system because of the science discoveries that support chances of future habitation on this planet. Martian caves and lava tubes like terrains, which consists of uneven ground, poor visibility and confined space, makes it impossible for wheel base...
[ { "created": "Tue, 14 Sep 2021 16:45:10 GMT", "version": "v1" }, { "created": "Fri, 1 Oct 2021 11:01:58 GMT", "version": "v2" } ]
2022-08-16
[ [ "Patel", "Akash", "" ], [ "Banerjee", "Avijit", "" ], [ "Lindqvist", "Bjorn", "" ], [ "Kanellakis", "Christoforos", "" ], [ "Nikolakopoulos", "George", "" ] ]
Mars has been a prime candidate for planetary exploration of the solar system because of the science discoveries that support chances of future habitation on this planet. Martian caves and lava tubes like terrains, which consists of uneven ground, poor visibility and confined space, makes it impossible for wheel based ...