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1705.06401
Kostas Alexis PhD
Frank Mascarich, Taylor Wilson, Tung Dang, Shehryar Khattak, Christos Papachristos, Kostas Alexis
Towards Robotically Supported Decommissioning of Nuclear Sites
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper overviews certain radiation detection, perception, and planning challenges for nuclearized robotics that aim to support the waste management and decommissioning mission. To enable the autonomous monitoring, inspection and multi-modal characterization of nuclear sites, we discuss important problems relevant...
[ { "created": "Thu, 18 May 2017 02:58:23 GMT", "version": "v1" } ]
2017-05-19
[ [ "Mascarich", "Frank", "" ], [ "Wilson", "Taylor", "" ], [ "Dang", "Tung", "" ], [ "Khattak", "Shehryar", "" ], [ "Papachristos", "Christos", "" ], [ "Alexis", "Kostas", "" ] ]
This paper overviews certain radiation detection, perception, and planning challenges for nuclearized robotics that aim to support the waste management and decommissioning mission. To enable the autonomous monitoring, inspection and multi-modal characterization of nuclear sites, we discuss important problems relevant t...
1304.2946
Baofeng Wu
Jia Zheng, Baofeng Wu, Yufu Chen, Zhuojun Liu
Constructing $2m$-variable Boolean functions with optimal algebraic immunity based on polar decomposition of $\mathbb{F}_{2^{2m}}^*$
20 pages
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Constructing $2m$-variable Boolean functions with optimal algebraic immunity based on decomposition of additive group of the finite field $\mathbb{F}_{2^{2m}}$ seems to be a promising approach since Tu and Deng's work. In this paper, we consider the same problem in a new way. Based on polar decomposition of the multi...
[ { "created": "Wed, 10 Apr 2013 13:18:05 GMT", "version": "v1" } ]
2013-04-11
[ [ "Zheng", "Jia", "" ], [ "Wu", "Baofeng", "" ], [ "Chen", "Yufu", "" ], [ "Liu", "Zhuojun", "" ] ]
Constructing $2m$-variable Boolean functions with optimal algebraic immunity based on decomposition of additive group of the finite field $\mathbb{F}_{2^{2m}}$ seems to be a promising approach since Tu and Deng's work. In this paper, we consider the same problem in a new way. Based on polar decomposition of the multipl...
2201.09178
Serdar Kadioglu
Xin Wang, Serdar Kadioglu
Dichotomic Pattern Mining with Applications to Intent Prediction from Semi-Structured Clickstream Datasets
The AAAI-22 Workshop on Knowledge Discovery from Unstructured Data in Financial Services (KDF@AAAI'22)
null
null
null
cs.AI cs.IR cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
We introduce a pattern mining framework that operates on semi-structured datasets and exploits the dichotomy between outcomes. Our approach takes advantage of constraint reasoning to find sequential patterns that occur frequently and exhibit desired properties. This allows the creation of novel pattern embeddings tha...
[ { "created": "Sun, 23 Jan 2022 05:00:50 GMT", "version": "v1" } ]
2022-01-25
[ [ "Wang", "Xin", "" ], [ "Kadioglu", "Serdar", "" ] ]
We introduce a pattern mining framework that operates on semi-structured datasets and exploits the dichotomy between outcomes. Our approach takes advantage of constraint reasoning to find sequential patterns that occur frequently and exhibit desired properties. This allows the creation of novel pattern embeddings that ...
2206.01192
Marcus Hutter
Marcus Hutter and Steven Hansen
Uniqueness and Complexity of Inverse MDP Models
34 pages, 4 fgures
null
null
null
cs.LG cs.CC
http://creativecommons.org/licenses/by/4.0/
What is the action sequence aa'a" that was likely responsible for reaching state s"' (from state s) in 3 steps? Addressing such questions is important in causal reasoning and in reinforcement learning. Inverse "MDP" models p(aa'a"|ss"') can be used to answer them. In the traditional "forward" view, transition "matrix...
[ { "created": "Thu, 2 Jun 2022 17:52:10 GMT", "version": "v1" } ]
2022-06-03
[ [ "Hutter", "Marcus", "" ], [ "Hansen", "Steven", "" ] ]
What is the action sequence aa'a" that was likely responsible for reaching state s"' (from state s) in 3 steps? Addressing such questions is important in causal reasoning and in reinforcement learning. Inverse "MDP" models p(aa'a"|ss"') can be used to answer them. In the traditional "forward" view, transition "matrix" ...
1904.05553
Phu Lai
Phu Lai, Qiang He, Mohamed Abdelrazek, Feifei Chen, John Hosking, John Grundy, Yun Yang
Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing
null
null
10.1007/978-3-030-03596-9_15
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
In mobile edge computing, edge servers are geographically distributed around base stations placed near end-users to provide highly accessible and efficient computing capacities and services. In the mobile edge computing environment, a service provider can deploy its service on hired edge servers to reduce end-to-end ...
[ { "created": "Thu, 11 Apr 2019 07:06:04 GMT", "version": "v1" } ]
2019-04-12
[ [ "Lai", "Phu", "" ], [ "He", "Qiang", "" ], [ "Abdelrazek", "Mohamed", "" ], [ "Chen", "Feifei", "" ], [ "Hosking", "John", "" ], [ "Grundy", "John", "" ], [ "Yang", "Yun", "" ] ]
In mobile edge computing, edge servers are geographically distributed around base stations placed near end-users to provide highly accessible and efficient computing capacities and services. In the mobile edge computing environment, a service provider can deploy its service on hired edge servers to reduce end-to-end se...
2304.06049
Kevin Chang
Kevin Chang, Nathan Dahlin, Rahul Jain and Pierluigi Nuzzo
Exact and Cost-Effective Automated Transformation of Neural Network Controllers to Decision Tree Controllers
null
null
null
null
cs.LG cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Over the past decade, neural network (NN)-based controllers have demonstrated remarkable efficacy in a variety of decision-making tasks. However, their black-box nature and the risk of unexpected behaviors and surprising results pose a challenge to their deployment in real-world systems with strong guarantees of corr...
[ { "created": "Tue, 11 Apr 2023 19:52:30 GMT", "version": "v1" }, { "created": "Sat, 16 Sep 2023 00:52:18 GMT", "version": "v2" } ]
2023-09-19
[ [ "Chang", "Kevin", "" ], [ "Dahlin", "Nathan", "" ], [ "Jain", "Rahul", "" ], [ "Nuzzo", "Pierluigi", "" ] ]
Over the past decade, neural network (NN)-based controllers have demonstrated remarkable efficacy in a variety of decision-making tasks. However, their black-box nature and the risk of unexpected behaviors and surprising results pose a challenge to their deployment in real-world systems with strong guarantees of correc...
2004.03868
Dieuwke Hupkes
Diana Rodr\'iguez Luna, Edoardo Maria Ponti, Dieuwke Hupkes, Elia Bruni
Internal and external pressures on language emergence: least effort, object constancy and frequency
Accepted for EMNLP-findings
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In previous work, artificial agents were shown to achieve almost perfect accuracy in referential games where they have to communicate to identify images. Nevertheless, the resulting communication protocols rarely display salient features of natural languages, such as compositionality. In this paper, we propose some r...
[ { "created": "Wed, 8 Apr 2020 08:12:41 GMT", "version": "v1" }, { "created": "Fri, 24 Jul 2020 17:48:06 GMT", "version": "v2" }, { "created": "Tue, 13 Oct 2020 09:29:44 GMT", "version": "v3" } ]
2020-10-14
[ [ "Luna", "Diana Rodríguez", "" ], [ "Ponti", "Edoardo Maria", "" ], [ "Hupkes", "Dieuwke", "" ], [ "Bruni", "Elia", "" ] ]
In previous work, artificial agents were shown to achieve almost perfect accuracy in referential games where they have to communicate to identify images. Nevertheless, the resulting communication protocols rarely display salient features of natural languages, such as compositionality. In this paper, we propose some rea...
1306.2347
Sivan Sabato
Sivan Sabato and Anand D. Sarwate and Nathan Srebro
Auditing: Active Learning with Outcome-Dependent Query Costs
Corrections in section 5
Neural Information Processing Systems 26 (NIPS), 512-520, 2013
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a learning setting in which unlabeled data is free, and the cost of a label depends on its value, which is not known in advance. We study binary classification in an extreme case, where the algorithm only pays for negative labels. Our motivation are applications such as fraud detection, in which investigat...
[ { "created": "Mon, 10 Jun 2013 20:18:48 GMT", "version": "v1" }, { "created": "Fri, 27 Sep 2013 17:57:33 GMT", "version": "v2" }, { "created": "Tue, 15 Oct 2013 18:27:07 GMT", "version": "v3" }, { "created": "Sun, 12 Jul 2015 10:11:57 GMT", "version": "v4" } ]
2015-07-14
[ [ "Sabato", "Sivan", "" ], [ "Sarwate", "Anand D.", "" ], [ "Srebro", "Nathan", "" ] ]
We propose a learning setting in which unlabeled data is free, and the cost of a label depends on its value, which is not known in advance. We study binary classification in an extreme case, where the algorithm only pays for negative labels. Our motivation are applications such as fraud detection, in which investigatin...
1409.7286
Vinay Vaishampayan
Antonio Campello and Vinay A. Vaishampayan
Reliability of Erasure Coded Storage Systems: A Geometric Approach
28 pages. 8 figures. Presented in part at IEEE International Conference on BigData 2013, Santa Clara, CA, Oct. 2013 and to be presented in part at 2014 IEEE Information Theory Workshop, Tasmania, Australia, Nov. 2014. New analysis added May 2015. Further Update Aug. 2015
null
10.1109/TIT.2015.2477401
null
cs.DC cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the probability of data loss, or equivalently, the reliability function for an erasure coded distributed data storage system under worst case conditions. Data loss in an erasure coded system depends on probability distributions for the disk repair duration and the disk failure duration. In previous works,...
[ { "created": "Thu, 25 Sep 2014 15:12:15 GMT", "version": "v1" }, { "created": "Thu, 2 Apr 2015 12:50:56 GMT", "version": "v2" }, { "created": "Thu, 21 May 2015 21:47:39 GMT", "version": "v3" }, { "created": "Thu, 20 Aug 2015 03:37:26 GMT", "version": "v4" } ]
2016-11-18
[ [ "Campello", "Antonio", "" ], [ "Vaishampayan", "Vinay A.", "" ] ]
We consider the probability of data loss, or equivalently, the reliability function for an erasure coded distributed data storage system under worst case conditions. Data loss in an erasure coded system depends on probability distributions for the disk repair duration and the disk failure duration. In previous works, t...
cs/0504004
Henning Bostelmann
Henning Bostelmann
Statistical analysis of quality measures for mobile ad hoc networks
Master's thesis; 78 pages, 10 figures
null
null
null
cs.NI cs.DM
null
How can the quality of a mobile ad hoc network (MANET) be quantified? This work aims at an answer based on the lower network layers, i.e. on connectivity between the wireless nodes, using statistical methods. A number of different quality measures are introduced and classified according to their scaling behaviour. Th...
[ { "created": "Sat, 2 Apr 2005 23:19:43 GMT", "version": "v1" } ]
2007-05-23
[ [ "Bostelmann", "Henning", "" ] ]
How can the quality of a mobile ad hoc network (MANET) be quantified? This work aims at an answer based on the lower network layers, i.e. on connectivity between the wireless nodes, using statistical methods. A number of different quality measures are introduced and classified according to their scaling behaviour. They...
2205.00718
Hermann Kroll
Hermann Kroll and Florian Pl\"otzky and Jan Pirklbauer and Wolf-Tilo Balke
What a Publication Tells You -- Benefits of Narrative Information Access in Digital Libraries
Accepted at JCDL2022, 8 pages, 1 figure
null
10.1145/3529372.3530928
null
cs.DL
http://creativecommons.org/licenses/by/4.0/
Knowledge bases allow effective access paths in digital libraries. Here users can specify their information need as graph patterns for precise searches and structured overviews (by allowing variables in queries). But especially when considering textual sources that contain narrative information, i.e., short stories o...
[ { "created": "Mon, 2 May 2022 08:14:40 GMT", "version": "v1" }, { "created": "Tue, 3 May 2022 05:40:01 GMT", "version": "v2" }, { "created": "Wed, 4 May 2022 05:59:06 GMT", "version": "v3" } ]
2022-05-05
[ [ "Kroll", "Hermann", "" ], [ "Plötzky", "Florian", "" ], [ "Pirklbauer", "Jan", "" ], [ "Balke", "Wolf-Tilo", "" ] ]
Knowledge bases allow effective access paths in digital libraries. Here users can specify their information need as graph patterns for precise searches and structured overviews (by allowing variables in queries). But especially when considering textual sources that contain narrative information, i.e., short stories of ...
2102.07981
Mingbao Lin
Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Chia-Wen Lin, Ling Shao
SiMaN: Sign-to-Magnitude Network Binarization
Accepted by IEEE TPAMI, 2022
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Binary neural networks (BNNs) have attracted broad research interest due to their efficient storage and computational ability. Nevertheless, a significant challenge of BNNs lies in handling discrete constraints while ensuring bit entropy maximization, which typically makes their weight optimization very difficult. Ex...
[ { "created": "Tue, 16 Feb 2021 07:03:51 GMT", "version": "v1" }, { "created": "Wed, 24 Mar 2021 12:51:21 GMT", "version": "v2" }, { "created": "Tue, 4 Oct 2022 17:24:54 GMT", "version": "v3" } ]
2022-10-05
[ [ "Lin", "Mingbao", "" ], [ "Ji", "Rongrong", "" ], [ "Xu", "Zihan", "" ], [ "Zhang", "Baochang", "" ], [ "Chao", "Fei", "" ], [ "Lin", "Chia-Wen", "" ], [ "Shao", "Ling", "" ] ]
Binary neural networks (BNNs) have attracted broad research interest due to their efficient storage and computational ability. Nevertheless, a significant challenge of BNNs lies in handling discrete constraints while ensuring bit entropy maximization, which typically makes their weight optimization very difficult. Exis...
2205.06226
Zixin Wen
Zixin Wen, Yuanzhi Li
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
88 pages, comments welcome
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Recently the surprising discovery of the Bootstrap Your Own Latent (BYOL) method by Grill et al. shows the negative term in contrastive loss can be removed if we add the so-called prediction head to the network. This initiated the research of non-contrastive self-supervised learning. It is mysterious why even when th...
[ { "created": "Thu, 12 May 2022 17:15:53 GMT", "version": "v1" }, { "created": "Sat, 14 May 2022 05:04:42 GMT", "version": "v2" }, { "created": "Sun, 15 Jan 2023 23:51:28 GMT", "version": "v3" } ]
2023-01-18
[ [ "Wen", "Zixin", "" ], [ "Li", "Yuanzhi", "" ] ]
Recently the surprising discovery of the Bootstrap Your Own Latent (BYOL) method by Grill et al. shows the negative term in contrastive loss can be removed if we add the so-called prediction head to the network. This initiated the research of non-contrastive self-supervised learning. It is mysterious why even when ther...
2104.13092
Bin Cao
Mingrui Cao, Long Zhang, Bin Cao
Towards On-Device Federated Learning: A Direct Acyclic Graph-based Blockchain Approach
null
null
null
null
cs.DC cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the distributed characteristics of Federated Learning (FL), the vulnerability of global model and coordination of devices are the main obstacle. As a promising solution of decentralization, scalability and security, leveraging blockchain in FL has attracted much attention in recent years. However, the traditio...
[ { "created": "Tue, 27 Apr 2021 10:29:38 GMT", "version": "v1" } ]
2021-04-28
[ [ "Cao", "Mingrui", "" ], [ "Zhang", "Long", "" ], [ "Cao", "Bin", "" ] ]
Due to the distributed characteristics of Federated Learning (FL), the vulnerability of global model and coordination of devices are the main obstacle. As a promising solution of decentralization, scalability and security, leveraging blockchain in FL has attracted much attention in recent years. However, the traditiona...
2301.04101
Matthew Wallingford
Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi
Neural Radiance Field Codebooks
19 pages, 8 figures, 9 tables
International Conference on Learning Representations 2023
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Compositional representations of the world are a promising step towards enabling high-level scene understanding and efficient transfer to downstream tasks. Learning such representations for complex scenes and tasks remains an open challenge. Towards this goal, we introduce Neural Radiance Field Codebooks (NRC), a sca...
[ { "created": "Tue, 10 Jan 2023 18:03:48 GMT", "version": "v1" }, { "created": "Sun, 30 Apr 2023 09:25:38 GMT", "version": "v2" } ]
2023-05-02
[ [ "Wallingford", "Matthew", "" ], [ "Kusupati", "Aditya", "" ], [ "Fang", "Alex", "" ], [ "Ramanujan", "Vivek", "" ], [ "Kembhavi", "Aniruddha", "" ], [ "Mottaghi", "Roozbeh", "" ], [ "Farhadi", "Ali", "" ]...
Compositional representations of the world are a promising step towards enabling high-level scene understanding and efficient transfer to downstream tasks. Learning such representations for complex scenes and tasks remains an open challenge. Towards this goal, we introduce Neural Radiance Field Codebooks (NRC), a scala...
1008.0823
Adrian Paschke
Adrian Paschke, Alexander Kozlenkov, Harold Boley
A Homogeneous Reaction Rule Language for Complex Event Processing
In Proc. 2nd International Workshop on Event Drive Architecture and Event Processing Systems (EDA-PS 2007) at VLDB 2007
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Event-driven automation of reactive functionalities for complex event processing is an urgent need in today's distributed service-oriented architectures and Web-based event-driven environments. An important problem to be addressed is how to correctly and efficiently capture and process the event-based behavioral, rea...
[ { "created": "Wed, 4 Aug 2010 17:05:33 GMT", "version": "v1" } ]
2010-08-05
[ [ "Paschke", "Adrian", "" ], [ "Kozlenkov", "Alexander", "" ], [ "Boley", "Harold", "" ] ]
Event-driven automation of reactive functionalities for complex event processing is an urgent need in today's distributed service-oriented architectures and Web-based event-driven environments. An important problem to be addressed is how to correctly and efficiently capture and process the event-based behavioral, react...
1607.00964
Koosha Pourtahmasi Roshandeh
Koosha Pourtahmasi Roshandeh, Masoud Ardakani and Chintha Tellambura
A general framework for weighted sum-rate and common-rate optimization
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a framework for solving a class of optimization problems encountered in a range of power allocation problems in wireless relay networks. In particular, power allocation for weighted sum-rate and common-rate optimization problems fall in this framework. Subject to some conditions on the regio...
[ { "created": "Mon, 4 Jul 2016 17:12:35 GMT", "version": "v1" } ]
2016-07-05
[ [ "Roshandeh", "Koosha Pourtahmasi", "" ], [ "Ardakani", "Masoud", "" ], [ "Tellambura", "Chintha", "" ] ]
In this paper, we propose a framework for solving a class of optimization problems encountered in a range of power allocation problems in wireless relay networks. In particular, power allocation for weighted sum-rate and common-rate optimization problems fall in this framework. Subject to some conditions on the region ...
2408.04725
Saleh Darzi
Saleh Darzi, Attila A. Yavuz
Counter Denial of Service for Next-Generation Networks within the Artificial Intelligence and Post-Quantum Era
10 Pages, 1 Figure, 2 Tables
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Given the rise in cyber threats to networked systems, coupled with the proliferation of AI techniques and enhanced processing capabilities, Denial of Service (DoS) attacks are becoming increasingly sophisticated and easily executable. They target system availability, compromising entire systems without breaking under...
[ { "created": "Thu, 8 Aug 2024 18:47:31 GMT", "version": "v1" } ]
2024-08-12
[ [ "Darzi", "Saleh", "" ], [ "Yavuz", "Attila A.", "" ] ]
Given the rise in cyber threats to networked systems, coupled with the proliferation of AI techniques and enhanced processing capabilities, Denial of Service (DoS) attacks are becoming increasingly sophisticated and easily executable. They target system availability, compromising entire systems without breaking underly...
2105.02827
Eklavya Sharma
Arindam Khan, Eklavya Sharma
Tight Approximation Algorithms for Geometric Bin Packing with Skewed Items
null
null
null
null
cs.CG cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the Two-dimensional Bin Packing (2BP) problem, we are given a set of rectangles of height and width at most one and our goal is to find an axis-aligned nonoverlapping packing of these rectangles into the minimum number of unit square bins. The problem admits no APTAS and the current best approximation ratio is $1....
[ { "created": "Thu, 6 May 2021 17:16:11 GMT", "version": "v1" } ]
2021-05-07
[ [ "Khan", "Arindam", "" ], [ "Sharma", "Eklavya", "" ] ]
In the Two-dimensional Bin Packing (2BP) problem, we are given a set of rectangles of height and width at most one and our goal is to find an axis-aligned nonoverlapping packing of these rectangles into the minimum number of unit square bins. The problem admits no APTAS and the current best approximation ratio is $1.40...
2009.07265
Kelvin C.K. Chan
Kelvin C.K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy
Understanding Deformable Alignment in Video Super-Resolution
Tech report, 15 pages, 19 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deformable convolution, originally proposed for the adaptation to geometric variations of objects, has recently shown compelling performance in aligning multiple frames and is increasingly adopted for video super-resolution. Despite its remarkable performance, its underlying mechanism for alignment remains unclear. I...
[ { "created": "Tue, 15 Sep 2020 17:55:06 GMT", "version": "v1" } ]
2020-09-16
[ [ "Chan", "Kelvin C. K.", "" ], [ "Wang", "Xintao", "" ], [ "Yu", "Ke", "" ], [ "Dong", "Chao", "" ], [ "Loy", "Chen Change", "" ] ]
Deformable convolution, originally proposed for the adaptation to geometric variations of objects, has recently shown compelling performance in aligning multiple frames and is increasingly adopted for video super-resolution. Despite its remarkable performance, its underlying mechanism for alignment remains unclear. In ...
1208.4138
Zahoor Khan
Ashraf Mohammed Iqbal, Abidalrahman Moh'd, Zahoor Khan
Semi-supervised Clustering Ensemble by Voting
The International Conference on Information and Communication Systems (ICICS 2009), Amman, Jordan
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Clustering ensemble is one of the most recent advances in unsupervised learning. It aims to combine the clustering results obtained using different algorithms or from different runs of the same clustering algorithm for the same data set, this is accomplished using on a consensus function, the efficiency and accuracy ...
[ { "created": "Mon, 20 Aug 2012 23:21:10 GMT", "version": "v1" } ]
2012-08-22
[ [ "Iqbal", "Ashraf Mohammed", "" ], [ "Moh'd", "Abidalrahman", "" ], [ "Khan", "Zahoor", "" ] ]
Clustering ensemble is one of the most recent advances in unsupervised learning. It aims to combine the clustering results obtained using different algorithms or from different runs of the same clustering algorithm for the same data set, this is accomplished using on a consensus function, the efficiency and accuracy of...
2102.11394
Jan Achterhold
Jan Achterhold and Joerg Stueckler
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models
Accepted for publication at the 24th International Conference on Artificial Intelligence and Statistics (AISTATS) 2021, with supplementary material
null
null
null
cs.LG cs.RO cs.SY eess.SY stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we learn dynamics models for parametrized families of dynamical systems with varying properties. The dynamics models are formulated as stochastic processes conditioned on a latent context variable which is inferred from observed transitions of the respective system. The probabilistic formulation allows...
[ { "created": "Mon, 22 Feb 2021 22:52:39 GMT", "version": "v1" } ]
2021-02-24
[ [ "Achterhold", "Jan", "" ], [ "Stueckler", "Joerg", "" ] ]
In this paper, we learn dynamics models for parametrized families of dynamical systems with varying properties. The dynamics models are formulated as stochastic processes conditioned on a latent context variable which is inferred from observed transitions of the respective system. The probabilistic formulation allows u...
1002.1167
Vishal Goyal
A. K. Ojha, A. K. Das
Geometric Programming Problem with Co-Efficients and Exponents Associated with Binary Numbers
International Journal of Computer Science Issues, IJCSI, Vol. 7, Issue 1, No. 2, January 2010, http://ijcsi.org/articles/Geometric-Programming-Problem-with-Co-Efficients-and-Exponents-Associated-with-Binary-Numbers.php
International Journal of Computer Science Issues, IJCSI, Vol. 7, Issue 1, No. 2, January 2010, http://ijcsi.org/articles/Geometric-Programming-Problem-with-Co-Efficients-and-Exponents-Associated-with-Binary-Numbers.php
null
null
cs.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Geometric programming (GP) provides a power tool for solving a variety of optimization problems. In the real world, many applications of geometric programming (GP) are engineering design problems in which some of the problem parameters are estimating of actual values. This paper develops a solution procedure to solve...
[ { "created": "Fri, 5 Feb 2010 09:29:23 GMT", "version": "v1" } ]
2010-02-08
[ [ "Ojha", "A. K.", "" ], [ "Das", "A. K.", "" ] ]
Geometric programming (GP) provides a power tool for solving a variety of optimization problems. In the real world, many applications of geometric programming (GP) are engineering design problems in which some of the problem parameters are estimating of actual values. This paper develops a solution procedure to solve n...
2011.09318
Jieli Liu
Jiajing Wu, Jieli Liu, Yijing Zhao, Zibin Zheng
Analysis of Cryptocurrency Transactions from a Network Perspective: An Overview
null
null
10.1016/j.jnca.2021.103139
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As one of the most important and famous applications of blockchain technology, cryptocurrency has attracted extensive attention recently. Empowered by blockchain technology, all the transaction records of cryptocurrencies are irreversible and recorded in the blocks. These transaction records containing rich informati...
[ { "created": "Wed, 18 Nov 2020 14:39:02 GMT", "version": "v1" }, { "created": "Sat, 7 Aug 2021 15:44:34 GMT", "version": "v2" } ]
2022-01-20
[ [ "Wu", "Jiajing", "" ], [ "Liu", "Jieli", "" ], [ "Zhao", "Yijing", "" ], [ "Zheng", "Zibin", "" ] ]
As one of the most important and famous applications of blockchain technology, cryptocurrency has attracted extensive attention recently. Empowered by blockchain technology, all the transaction records of cryptocurrencies are irreversible and recorded in the blocks. These transaction records containing rich information...
1909.01910
Valerio Formicola Dr.
Vincenzo Giuliano and Valerio Formicola
ICSrange: A Simulation-based Cyber Range Platform for Industrial Control Systems
Student Forum paper of the 15th European Dependable Computing Conference (EDCC 2019)
null
null
null
cs.CR cs.SY eess.SY
http://creativecommons.org/licenses/by-sa/4.0/
Maintenance staff of Industrial Control Systems (ICS) is generally not aware about information technologies, and even less about cyber security problems. The scary impact of cyber attacks in the industrial world calls for tools to train defensive skills and test effective security measures. Cyber range offers this op...
[ { "created": "Wed, 4 Sep 2019 16:03:08 GMT", "version": "v1" } ]
2019-09-05
[ [ "Giuliano", "Vincenzo", "" ], [ "Formicola", "Valerio", "" ] ]
Maintenance staff of Industrial Control Systems (ICS) is generally not aware about information technologies, and even less about cyber security problems. The scary impact of cyber attacks in the industrial world calls for tools to train defensive skills and test effective security measures. Cyber range offers this oppo...
1803.04798
Banu Kabakulak
Banu Kabakulak, Z. Caner Ta\c{s}k{\i}n, and Ali Emre Pusane
A Branch-Price-and-Cut Algorithm for Optimal Decoding of LDPC Codes
30 pages, 4 figures, 7 tables
null
null
null
cs.IT math.IT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Channel coding aims to minimize errors that occur during the transmission of digital information from one place to another. Low-density parity-check (LDPC) codes can detect and correct transmission errors if one encodes the original information by adding redundant bits. In practice, heuristic iterative decoding algor...
[ { "created": "Tue, 13 Mar 2018 13:41:09 GMT", "version": "v1" } ]
2018-03-14
[ [ "Kabakulak", "Banu", "" ], [ "Taşkın", "Z. Caner", "" ], [ "Pusane", "Ali Emre", "" ] ]
Channel coding aims to minimize errors that occur during the transmission of digital information from one place to another. Low-density parity-check (LDPC) codes can detect and correct transmission errors if one encodes the original information by adding redundant bits. In practice, heuristic iterative decoding algorit...
2310.17325
Xiaoyu Liu
Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
accepted to Neurips 2023
null
null
null
cs.LG cs.AI cs.CV
http://creativecommons.org/licenses/by/4.0/
Representation learning assumes that real-world data is generated by a few semantically meaningful generative factors (i.e., sources of variation) and aims to discover them in the latent space. These factors are expected to be causally disentangled, meaning that distinct factors are encoded into separate latent varia...
[ { "created": "Thu, 26 Oct 2023 11:44:42 GMT", "version": "v1" } ]
2023-10-27
[ [ "Liu", "Xiaoyu", "" ], [ "Yuan", "Jiaxin", "" ], [ "An", "Bang", "" ], [ "Xu", "Yuancheng", "" ], [ "Yang", "Yifan", "" ], [ "Huang", "Furong", "" ] ]
Representation learning assumes that real-world data is generated by a few semantically meaningful generative factors (i.e., sources of variation) and aims to discover them in the latent space. These factors are expected to be causally disentangled, meaning that distinct factors are encoded into separate latent variabl...
1908.03605
Manjunath Narayana
Nandan Banerjee, Ryan C. Connolly, Dimitri Lisin, Jimmy Briggs, Manjunath Narayana, Mario E. Munich
View management for lifelong visual maps
IEEE International Conference on Intelligent Robots and Systems (IROS), 2019
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The time complexity of making observations and loop closures in a graph-based visual SLAM system is a function of the number of views stored. Clever algorithms, such as approximate nearest neighbor search, can make this function sub-linear. Despite this, over time the number of views can still grow to a point at whic...
[ { "created": "Fri, 9 Aug 2019 19:26:56 GMT", "version": "v1" } ]
2019-08-13
[ [ "Banerjee", "Nandan", "" ], [ "Connolly", "Ryan C.", "" ], [ "Lisin", "Dimitri", "" ], [ "Briggs", "Jimmy", "" ], [ "Narayana", "Manjunath", "" ], [ "Munich", "Mario E.", "" ] ]
The time complexity of making observations and loop closures in a graph-based visual SLAM system is a function of the number of views stored. Clever algorithms, such as approximate nearest neighbor search, can make this function sub-linear. Despite this, over time the number of views can still grow to a point at which ...
1501.04979
Thomas Goldstein
Tom Goldstein, Christoph Studer, Richard Baraniuk
FASTA: A Generalized Implementation of Forward-Backward Splitting
null
null
null
null
cs.MS cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This is a user manual for the software package FASTA.
[ { "created": "Fri, 16 Jan 2015 01:22:55 GMT", "version": "v1" }, { "created": "Thu, 6 Aug 2015 16:54:50 GMT", "version": "v2" }, { "created": "Wed, 20 Jan 2016 23:51:33 GMT", "version": "v3" } ]
2016-01-22
[ [ "Goldstein", "Tom", "" ], [ "Studer", "Christoph", "" ], [ "Baraniuk", "Richard", "" ] ]
This is a user manual for the software package FASTA.
2403.18447
Inhwan Bae
Inhwan Bae and Junoh Lee and Hae-Gon Jeon
Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction
Accepted at CVPR 2024
null
null
null
cs.CL cs.CV cs.LG cs.RO
http://creativecommons.org/licenses/by-nc-sa/4.0/
Language models have demonstrated impressive ability in context understanding and generative performance. Inspired by the recent success of language foundation models, in this paper, we propose LMTraj (Language-based Multimodal Trajectory predictor), which recasts the trajectory prediction task into a sort of questio...
[ { "created": "Wed, 27 Mar 2024 11:06:44 GMT", "version": "v1" } ]
2024-03-28
[ [ "Bae", "Inhwan", "" ], [ "Lee", "Junoh", "" ], [ "Jeon", "Hae-Gon", "" ] ]
Language models have demonstrated impressive ability in context understanding and generative performance. Inspired by the recent success of language foundation models, in this paper, we propose LMTraj (Language-based Multimodal Trajectory predictor), which recasts the trajectory prediction task into a sort of question-...
2108.03900
Jiexia Ye
Jiexia Ye, Juanjuan Zhao, Furong Zheng, Chengzhong Xu
Completion and Augmentation based Spatiotemporal Deep Learning Approach for Short-Term Metro Origin-Destination Matrix Prediction under Limited Observable Data
16 pages, 13 figures, 6 tables
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Short-term OD flow (i.e. the number of passenger traveling between stations) prediction is crucial to traffic management in metro systems. Due to the delayed effect in latest complete OD flow collection, complex spatiotemporal correlations of OD flows in high dimension, it is more challengeable than other traffic pre...
[ { "created": "Mon, 9 Aug 2021 09:32:42 GMT", "version": "v1" }, { "created": "Mon, 16 Aug 2021 03:15:34 GMT", "version": "v2" }, { "created": "Tue, 19 Oct 2021 01:51:43 GMT", "version": "v3" }, { "created": "Fri, 12 Nov 2021 08:32:25 GMT", "version": "v4" }, { "cr...
2022-10-19
[ [ "Ye", "Jiexia", "" ], [ "Zhao", "Juanjuan", "" ], [ "Zheng", "Furong", "" ], [ "Xu", "Chengzhong", "" ] ]
Short-term OD flow (i.e. the number of passenger traveling between stations) prediction is crucial to traffic management in metro systems. Due to the delayed effect in latest complete OD flow collection, complex spatiotemporal correlations of OD flows in high dimension, it is more challengeable than other traffic predi...
2406.07302
Julen Etxaniz
Julen Etxaniz and Gorka Azkune and Aitor Soroa and Oier Lopez de Lacalle and Mikel Artetxe
BertaQA: How Much Do Language Models Know About Local Culture?
null
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Large Language Models (LLMs) exhibit extensive knowledge about the world, but most evaluations have been limited to global or anglocentric subjects. This raises the question of how well these models perform on topics relevant to other cultures, whose presence on the web is not that prominent. To address this gap, we ...
[ { "created": "Tue, 11 Jun 2024 14:30:34 GMT", "version": "v1" } ]
2024-06-12
[ [ "Etxaniz", "Julen", "" ], [ "Azkune", "Gorka", "" ], [ "Soroa", "Aitor", "" ], [ "de Lacalle", "Oier Lopez", "" ], [ "Artetxe", "Mikel", "" ] ]
Large Language Models (LLMs) exhibit extensive knowledge about the world, but most evaluations have been limited to global or anglocentric subjects. This raises the question of how well these models perform on topics relevant to other cultures, whose presence on the web is not that prominent. To address this gap, we in...
1508.00691
Che Lin
Po-Chun Fu, Pei-Rong Li, Li-Ming Wei, Chang-Lin Chen, and Che Lin
Deterministic Differential Search Algorithm for Distributed Sensor/Relay Networks
2 pages, 1 figure, conference
null
null
null
cs.IT cs.DC cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For distributed sensor/relay networks, high reliability and power efficiency are often required. However, several implementation issues arise in practice. One such problem is that all the distributed transmitters have limited power supply since the power source of the transmitters cannot be recharged continually. To ...
[ { "created": "Tue, 4 Aug 2015 08:00:25 GMT", "version": "v1" } ]
2015-08-05
[ [ "Fu", "Po-Chun", "" ], [ "Li", "Pei-Rong", "" ], [ "Wei", "Li-Ming", "" ], [ "Chen", "Chang-Lin", "" ], [ "Lin", "Che", "" ] ]
For distributed sensor/relay networks, high reliability and power efficiency are often required. However, several implementation issues arise in practice. One such problem is that all the distributed transmitters have limited power supply since the power source of the transmitters cannot be recharged continually. To re...
1112.3785
Salvador Abreu
Theofrastos Mantadelis and Gerda Janssens
Nesting Probabilistic Inference
Online Proceedings of the 11th International Colloquium on Implementation of Constraint LOgic Programming Systems (CICLOPS 2011), Lexington, KY, U.S.A., July 10, 2011
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
When doing inference in ProbLog, a probabilistic extension of Prolog, we extend SLD resolution with some additional bookkeeping. This additional information is used to compute the probabilistic results for a probabilistic query. In Prolog's SLD, goals are nested very naturally. In ProbLog's SLD, nesting probabilistic...
[ { "created": "Fri, 16 Dec 2011 12:25:28 GMT", "version": "v1" } ]
2011-12-19
[ [ "Mantadelis", "Theofrastos", "" ], [ "Janssens", "Gerda", "" ] ]
When doing inference in ProbLog, a probabilistic extension of Prolog, we extend SLD resolution with some additional bookkeeping. This additional information is used to compute the probabilistic results for a probabilistic query. In Prolog's SLD, goals are nested very naturally. In ProbLog's SLD, nesting probabilistic q...
1108.3426
Bogdan Aman
Livio Bioglio, Cristina Calcagno, Mario Coppo, Ferruccio Damiani, Eva Sciacca, Salvatore Spinella, Angelo Troina
A Spatial Calculus of Wrapped Compartments
Presented at MeCBIC 2011
null
null
MeCBIC/2011/05
cs.LO cs.CE cs.ET q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Calculus of Wrapped Compartments (CWC) is a recently proposed modelling language for the representation and simulation of biological systems behaviour. Although CWC has no explicit structure modelling a spatial geometry, its compartment labelling feature can be exploited to model various examples of spatial inter...
[ { "created": "Wed, 17 Aug 2011 09:00:56 GMT", "version": "v1" } ]
2011-08-18
[ [ "Bioglio", "Livio", "" ], [ "Calcagno", "Cristina", "" ], [ "Coppo", "Mario", "" ], [ "Damiani", "Ferruccio", "" ], [ "Sciacca", "Eva", "" ], [ "Spinella", "Salvatore", "" ], [ "Troina", "Angelo", "" ] ]
The Calculus of Wrapped Compartments (CWC) is a recently proposed modelling language for the representation and simulation of biological systems behaviour. Although CWC has no explicit structure modelling a spatial geometry, its compartment labelling feature can be exploited to model various examples of spatial interac...
2312.15102
Wassim Kabbani
Wassim Kabbani, Christoph Busch, Kiran Raja
Robust Sclera Segmentation for Skin-tone Agnostic Face Image Quality Assessment
null
BIOSIG 2023. Gesellschaft f\"ur Informatik e.V. ISSN: 1617-5468. ISBN: 978-3-88579-733-3
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Face image quality assessment (FIQA) is crucial for obtaining good face recognition performance. FIQA algorithms should be robust and insensitive to demographic factors. The eye sclera has a consistent whitish color in all humans regardless of their age, ethnicity and skin-tone. This work proposes a robust sclera seg...
[ { "created": "Fri, 22 Dec 2023 22:49:11 GMT", "version": "v1" } ]
2023-12-27
[ [ "Kabbani", "Wassim", "" ], [ "Busch", "Christoph", "" ], [ "Raja", "Kiran", "" ] ]
Face image quality assessment (FIQA) is crucial for obtaining good face recognition performance. FIQA algorithms should be robust and insensitive to demographic factors. The eye sclera has a consistent whitish color in all humans regardless of their age, ethnicity and skin-tone. This work proposes a robust sclera segme...
1301.2561
Hiroki Sayama
Hiroki Sayama, Irene Pestov, Jeffrey Schmidt, Benjamin James Bush, Chun Wong, Junichi Yamanoi, and Thilo Gross
Modeling complex systems with adaptive networks
24 pages, 11 figures, 3 tables
Computers and Mathematics with Applications, 65, 1645-1664 (2013)
10.1016/j.camwa.2012.12.005
null
cs.SI nlin.AO physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Adaptive networks are a novel class of dynamical networks whose topologies and states coevolve. Many real-world complex systems can be modeled as adaptive networks, including social networks, transportation networks, neural networks and biological networks. In this paper, we introduce fundamental concepts and unique ...
[ { "created": "Fri, 11 Jan 2013 17:59:20 GMT", "version": "v1" } ]
2017-05-29
[ [ "Sayama", "Hiroki", "" ], [ "Pestov", "Irene", "" ], [ "Schmidt", "Jeffrey", "" ], [ "Bush", "Benjamin James", "" ], [ "Wong", "Chun", "" ], [ "Yamanoi", "Junichi", "" ], [ "Gross", "Thilo", "" ] ]
Adaptive networks are a novel class of dynamical networks whose topologies and states coevolve. Many real-world complex systems can be modeled as adaptive networks, including social networks, transportation networks, neural networks and biological networks. In this paper, we introduce fundamental concepts and unique pr...
2212.13184
Peiyu Chen
Peiyu Chen, Weipeng Guan, Peng Lu
ESVIO: Event-based Stereo Visual Inertial Odometry
null
IEEE Robotics and Automation Letters (Volume: 8, Issue: 6, June 2023)
10.1109/LRA.2023.3269950
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Event cameras that asynchronously output low-latency event streams provide great opportunities for state estimation under challenging situations. Despite event-based visual odometry having been extensively studied in recent years, most of them are based on monocular and few research on stereo event vision. In this pa...
[ { "created": "Mon, 26 Dec 2022 15:11:01 GMT", "version": "v1" }, { "created": "Fri, 14 Apr 2023 16:13:12 GMT", "version": "v2" }, { "created": "Mon, 11 Mar 2024 02:17:03 GMT", "version": "v3" } ]
2024-03-12
[ [ "Chen", "Peiyu", "" ], [ "Guan", "Weipeng", "" ], [ "Lu", "Peng", "" ] ]
Event cameras that asynchronously output low-latency event streams provide great opportunities for state estimation under challenging situations. Despite event-based visual odometry having been extensively studied in recent years, most of them are based on monocular and few research on stereo event vision. In this pape...
1003.0167
Atri Rudra
Nikhil Bansal, Anupam Gupta, Viswanath Nagarajan and Atri Rudra
When LP is the Cure for Your Matching Woes: Approximating Stochastic Matchings
This paper has been withdrawn due to new merged paper arXiv:1008.5356v1
null
null
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This results in this paper have been merged with the result in arXiv:1002.3763v1 The authors would like to withdraw this version. Please see arXiv:1008.5356v1 for the merged version.
[ { "created": "Sun, 28 Feb 2010 06:32:18 GMT", "version": "v1" }, { "created": "Fri, 3 Sep 2010 01:29:37 GMT", "version": "v2" } ]
2010-09-06
[ [ "Bansal", "Nikhil", "" ], [ "Gupta", "Anupam", "" ], [ "Nagarajan", "Viswanath", "" ], [ "Rudra", "Atri", "" ] ]
This results in this paper have been merged with the result in arXiv:1002.3763v1 The authors would like to withdraw this version. Please see arXiv:1008.5356v1 for the merged version.
2402.14152
Jonathan Ku
Jonathan Ku, Junyao Zhang, Haoxuan Shan, Saichand Samudrala, Jiawen Wu, Qilin Zheng, Ziru Li, JV Rajendran, Yiran Chen
ModSRAM: Algorithm-Hardware Co-Design for Large Number Modular Multiplication in SRAM
DAC 2024
null
null
null
cs.AR cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Elliptic curve cryptography (ECC) is widely used in security applications such as public key cryptography (PKC) and zero-knowledge proofs (ZKP). ECC is composed of modular arithmetic, where modular multiplication takes most of the processing time. Computational complexity and memory constraints of ECC limit the perfo...
[ { "created": "Wed, 21 Feb 2024 22:26:44 GMT", "version": "v1" } ]
2024-02-23
[ [ "Ku", "Jonathan", "" ], [ "Zhang", "Junyao", "" ], [ "Shan", "Haoxuan", "" ], [ "Samudrala", "Saichand", "" ], [ "Wu", "Jiawen", "" ], [ "Zheng", "Qilin", "" ], [ "Li", "Ziru", "" ], [ "Rajendran", ...
Elliptic curve cryptography (ECC) is widely used in security applications such as public key cryptography (PKC) and zero-knowledge proofs (ZKP). ECC is composed of modular arithmetic, where modular multiplication takes most of the processing time. Computational complexity and memory constraints of ECC limit the perform...
2305.01876
Siyu Yuan
Siyu Yuan, Deqing Yang, Jinxi Liu, Shuyu Tian, Jiaqing Liang, Yanghua Xiao, Rui Xie
Causality-aware Concept Extraction based on Knowledge-guided Prompting
Accepted to ACL 2023
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Concepts benefit natural language understanding but are far from complete in existing knowledge graphs (KGs). Recently, pre-trained language models (PLMs) have been widely used in text-based concept extraction (CE). However, PLMs tend to mine the co-occurrence associations from massive corpus as pre-trained knowledge...
[ { "created": "Wed, 3 May 2023 03:36:20 GMT", "version": "v1" }, { "created": "Thu, 4 May 2023 02:16:38 GMT", "version": "v2" }, { "created": "Sun, 7 May 2023 03:02:12 GMT", "version": "v3" }, { "created": "Wed, 10 May 2023 01:15:45 GMT", "version": "v4" }, { "crea...
2023-06-13
[ [ "Yuan", "Siyu", "" ], [ "Yang", "Deqing", "" ], [ "Liu", "Jinxi", "" ], [ "Tian", "Shuyu", "" ], [ "Liang", "Jiaqing", "" ], [ "Xiao", "Yanghua", "" ], [ "Xie", "Rui", "" ] ]
Concepts benefit natural language understanding but are far from complete in existing knowledge graphs (KGs). Recently, pre-trained language models (PLMs) have been widely used in text-based concept extraction (CE). However, PLMs tend to mine the co-occurrence associations from massive corpus as pre-trained knowledge r...
1106.0855
Eyal Ackerman
Eyal Ackerman, Tsachik Gelander, and Rom Pinchasi
Ice-Creams and Wedge Graphs
7 pages
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
What is the minimum angle $\alpha >0$ such that given any set of $\alpha$-directional antennas (that is, antennas each of which can communicate along a wedge of angle $\alpha$), one can always assign a direction to each antenna such that the resulting communication graph is connected? Here two antennas are connected ...
[ { "created": "Sat, 4 Jun 2011 20:24:50 GMT", "version": "v1" }, { "created": "Sun, 24 Jul 2011 13:07:44 GMT", "version": "v2" } ]
2011-07-26
[ [ "Ackerman", "Eyal", "" ], [ "Gelander", "Tsachik", "" ], [ "Pinchasi", "Rom", "" ] ]
What is the minimum angle $\alpha >0$ such that given any set of $\alpha$-directional antennas (that is, antennas each of which can communicate along a wedge of angle $\alpha$), one can always assign a direction to each antenna such that the resulting communication graph is connected? Here two antennas are connected by...
1303.5438
Yang Xiang
Yang Xiang, David L. Poole, Michael P. Beddoes
Exploring Localization in Bayesian Networks for Large Expert Systems
Appears in Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (UAI1992)
null
null
UAI-P-1992-PG-344-351
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current Bayesian net representations do not consider structure in the domain and include all variables in a homogeneous network. At any time, a human reasoner in a large domain may direct his attention to only one of a number of natural subdomains, i.e., there is ?localization' of queries and evidence. In such a case...
[ { "created": "Wed, 13 Mar 2013 12:56:04 GMT", "version": "v1" } ]
2013-03-25
[ [ "Xiang", "Yang", "" ], [ "Poole", "David L.", "" ], [ "Beddoes", "Michael P.", "" ] ]
Current Bayesian net representations do not consider structure in the domain and include all variables in a homogeneous network. At any time, a human reasoner in a large domain may direct his attention to only one of a number of natural subdomains, i.e., there is ?localization' of queries and evidence. In such a case, ...
1904.08701
Nils Rexin
Nils Rexin, Marcel Musch and Klaus Dietmayer
Fusion of Object Tracking and Dynamic Occupancy Grid Map
null
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019, pp. 4121-4127
10.1109/ITSC.2019.8917048
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Environment modeling in autonomous driving is realized by two fundamental approaches, grid-based and feature-based approach. Both methods interpret the environment differently and show some situation-dependent beneficial realizations. In order to use the advantages of both methods, a combination makes sense. This wor...
[ { "created": "Thu, 18 Apr 2019 11:32:09 GMT", "version": "v1" }, { "created": "Mon, 22 Jul 2019 09:35:45 GMT", "version": "v2" }, { "created": "Thu, 5 Dec 2019 09:53:08 GMT", "version": "v3" } ]
2019-12-06
[ [ "Rexin", "Nils", "" ], [ "Musch", "Marcel", "" ], [ "Dietmayer", "Klaus", "" ] ]
Environment modeling in autonomous driving is realized by two fundamental approaches, grid-based and feature-based approach. Both methods interpret the environment differently and show some situation-dependent beneficial realizations. In order to use the advantages of both methods, a combination makes sense. This work ...
1102.2506
Behrouz Maham
Behrouz Maham and Are Hj{\o}rungnes
Opportunistic Relaying for Space-Time Coded Cooperation with Multiple Antenna Terminals
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a wireless relay network with multiple antenna terminals over Rayleigh fading channels, and apply distributed space-time coding (DSTC) in amplify-and-forward (A&F) mode. The A&F scheme is used in a way that each relay transmits a scaled version of the linear combination of the received symbols. It turns o...
[ { "created": "Sat, 12 Feb 2011 12:28:41 GMT", "version": "v1" } ]
2011-02-15
[ [ "Maham", "Behrouz", "" ], [ "Hjørungnes", "Are", "" ] ]
We consider a wireless relay network with multiple antenna terminals over Rayleigh fading channels, and apply distributed space-time coding (DSTC) in amplify-and-forward (A&F) mode. The A&F scheme is used in a way that each relay transmits a scaled version of the linear combination of the received symbols. It turns out...
2106.06761
Robert Burduk
Robert Burduk
Relearning ensemble selection based on new generated features
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The ensemble methods are meta-algorithms that combine several base machine learning techniques to increase the effectiveness of the classification. Many existing committees of classifiers use the classifier selection process to determine the optimal set of base classifiers. In this article, we propose the classifiers...
[ { "created": "Sat, 12 Jun 2021 12:45:32 GMT", "version": "v1" } ]
2021-06-15
[ [ "Burduk", "Robert", "" ] ]
The ensemble methods are meta-algorithms that combine several base machine learning techniques to increase the effectiveness of the classification. Many existing committees of classifiers use the classifier selection process to determine the optimal set of base classifiers. In this article, we propose the classifiers s...
1502.04925
Andrei Asinowski
Andrei Asinowski, G\"unter Rote
Point sets with many non-crossing matchings
33 pages, 19 figures, 2 tables
Computational Geometry, Theory and Applications 68 (2018), 7-33
10.1016/j.comgeo.2017.05.006
null
cs.CG cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The maximum number of non-crossing straight-line perfect matchings that a set of $n$ points in the plane can have is known to be $O(10.0438^n)$ and $\Omega^*(3^n)$. The lower bound, due to Garc\'ia, Noy, and Tejel (2000) is attained by the double chain, which has $\Theta(3^n n^{O(1)})$ such matchings. We reprove this...
[ { "created": "Tue, 17 Feb 2015 15:28:52 GMT", "version": "v1" } ]
2017-11-20
[ [ "Asinowski", "Andrei", "" ], [ "Rote", "Günter", "" ] ]
The maximum number of non-crossing straight-line perfect matchings that a set of $n$ points in the plane can have is known to be $O(10.0438^n)$ and $\Omega^*(3^n)$. The lower bound, due to Garc\'ia, Noy, and Tejel (2000) is attained by the double chain, which has $\Theta(3^n n^{O(1)})$ such matchings. We reprove this b...
2202.06027
Wei Jing
Tianying Wang, En Yen Puang, Marcus Lee, Yan Wu, Wei Jing
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation
8 pages
null
null
null
cs.RO cs.CV
http://creativecommons.org/licenses/by/4.0/
We present an end-to-end Reinforcement Learning(RL) framework for robotic manipulation tasks, using a robust and efficient keypoints representation. The proposed method learns keypoints from camera images as the state representation, through a self-supervised autoencoder architecture. The keypoints encode the geometr...
[ { "created": "Sat, 12 Feb 2022 09:58:09 GMT", "version": "v1" } ]
2022-02-15
[ [ "Wang", "Tianying", "" ], [ "Puang", "En Yen", "" ], [ "Lee", "Marcus", "" ], [ "Wu", "Yan", "" ], [ "Jing", "Wei", "" ] ]
We present an end-to-end Reinforcement Learning(RL) framework for robotic manipulation tasks, using a robust and efficient keypoints representation. The proposed method learns keypoints from camera images as the state representation, through a self-supervised autoencoder architecture. The keypoints encode the geometric...
2312.06309
Max Hahn-Klimroth
Max Hahn-Klimroth, Paul W. Dierkes, Matthias W. Kleespies
An unsupervised learning approach to evaluate questionnaire data -- what one can learn from violations of measurement invariance
null
null
10.5334/dsj-2024-013
null
cs.LG stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In several branches of the social sciences and humanities, surveys based on standardized questionnaires are a prominent research tool. While there are a variety of ways to analyze the data, some standard procedures have become established. When those surveys want to analyze differences in the answer patterns of diffe...
[ { "created": "Mon, 11 Dec 2023 11:31:41 GMT", "version": "v1" } ]
2024-03-28
[ [ "Hahn-Klimroth", "Max", "" ], [ "Dierkes", "Paul W.", "" ], [ "Kleespies", "Matthias W.", "" ] ]
In several branches of the social sciences and humanities, surveys based on standardized questionnaires are a prominent research tool. While there are a variety of ways to analyze the data, some standard procedures have become established. When those surveys want to analyze differences in the answer patterns of differe...
2005.08610
Sadaf Salehkalaibar
Sadaf Salehkalaibar and Michele Wigger
Distributed Hypothesis Testing with Variable-Length Coding
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of distributed testing against independence with variable-length coding is considered when the \emph{average} and not the \emph{maximum} communication load is constrained as in previous works. The paper characterizes the optimum type-II error exponent of a single sensor single decision center system given...
[ { "created": "Mon, 18 May 2020 11:47:47 GMT", "version": "v1" } ]
2020-05-19
[ [ "Salehkalaibar", "Sadaf", "" ], [ "Wigger", "Michele", "" ] ]
The problem of distributed testing against independence with variable-length coding is considered when the \emph{average} and not the \emph{maximum} communication load is constrained as in previous works. The paper characterizes the optimum type-II error exponent of a single sensor single decision center system given a...
2006.08900
Ao Zhang
Ao Zhang and Jinwen Ma
DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder
11 pages, 2 figures
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph neural networks (GNNs) achieve remarkable performance for tasks on graph data. However, recent works show they are extremely vulnerable to adversarial structural perturbations, making their outcomes unreliable. In this paper, we propose DefenseVGAE, a novel framework leveraging variational graph autoencoders(VG...
[ { "created": "Tue, 16 Jun 2020 03:30:23 GMT", "version": "v1" } ]
2020-06-17
[ [ "Zhang", "Ao", "" ], [ "Ma", "Jinwen", "" ] ]
Graph neural networks (GNNs) achieve remarkable performance for tasks on graph data. However, recent works show they are extremely vulnerable to adversarial structural perturbations, making their outcomes unreliable. In this paper, we propose DefenseVGAE, a novel framework leveraging variational graph autoencoders(VGAE...
2306.01863
Yixin Xu
Yixin Xu, Yi Xiao, Zijian Zhao, Franz M\"uller, Alptekin Vardar, Xiao Gong, Sumitha George, Thomas K\"ampfe, Vijaykrishnan Narayanan, Kai Ni
Embedding Security into Ferroelectric FET Array via In-Situ Memory Operation
null
null
null
null
cs.ET
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Non-volatile memories (NVMs) have the potential to reshape next-generation memory systems because of their promising properties of near-zero leakage power consumption, high density and non-volatility. However, NVMs also face critical security threats that exploit the non-volatile property. Compared to volatile memory...
[ { "created": "Fri, 2 Jun 2023 18:35:29 GMT", "version": "v1" } ]
2023-06-06
[ [ "Xu", "Yixin", "" ], [ "Xiao", "Yi", "" ], [ "Zhao", "Zijian", "" ], [ "Müller", "Franz", "" ], [ "Vardar", "Alptekin", "" ], [ "Gong", "Xiao", "" ], [ "George", "Sumitha", "" ], [ "Kämpfe", "Th...
Non-volatile memories (NVMs) have the potential to reshape next-generation memory systems because of their promising properties of near-zero leakage power consumption, high density and non-volatility. However, NVMs also face critical security threats that exploit the non-volatile property. Compared to volatile memory, ...
2402.07588
Tinashe Handina
Tinashe Handina and Eric Mazumdar
Understanding Model Selection For Learning In Strategic Environments
Reworded title, fixed typos and changed organization from previous version
null
null
null
cs.GT cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
The deployment of ever-larger machine learning models reflects a growing consensus that the more expressive the model class one optimizes over$\unicode{x2013}$and the more data one has access to$\unicode{x2013}$the more one can improve performance. As models get deployed in a variety of real-world scenarios, they ine...
[ { "created": "Mon, 12 Feb 2024 11:41:42 GMT", "version": "v1" }, { "created": "Wed, 21 Feb 2024 18:49:51 GMT", "version": "v2" }, { "created": "Sat, 1 Jun 2024 23:16:05 GMT", "version": "v3" } ]
2024-06-04
[ [ "Handina", "Tinashe", "" ], [ "Mazumdar", "Eric", "" ] ]
The deployment of ever-larger machine learning models reflects a growing consensus that the more expressive the model class one optimizes over$\unicode{x2013}$and the more data one has access to$\unicode{x2013}$the more one can improve performance. As models get deployed in a variety of real-world scenarios, they inevi...
1908.07380
Omar Rivasplata
Omar Rivasplata, Vikram M Tankasali, Csaba Szepesvari
PAC-Bayes with Backprop
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We explore the family of methods "PAC-Bayes with Backprop" (PBB) to train probabilistic neural networks by minimizing PAC-Bayes bounds. We present two training objectives, one derived from a previously known PAC-Bayes bound, and a second one derived from a novel PAC-Bayes bound. Both training objectives are evaluated...
[ { "created": "Mon, 19 Aug 2019 13:27:08 GMT", "version": "v1" }, { "created": "Wed, 21 Aug 2019 10:18:05 GMT", "version": "v2" }, { "created": "Fri, 23 Aug 2019 08:16:40 GMT", "version": "v3" }, { "created": "Mon, 30 Sep 2019 12:32:30 GMT", "version": "v4" }, { "c...
2019-10-07
[ [ "Rivasplata", "Omar", "" ], [ "Tankasali", "Vikram M", "" ], [ "Szepesvari", "Csaba", "" ] ]
We explore the family of methods "PAC-Bayes with Backprop" (PBB) to train probabilistic neural networks by minimizing PAC-Bayes bounds. We present two training objectives, one derived from a previously known PAC-Bayes bound, and a second one derived from a novel PAC-Bayes bound. Both training objectives are evaluated o...
1807.00687
Tom Kelly
Tom Kelly, Niloy J. Mitra
Simplifying Urban Data Fusion with BigSUR
Architecture_MPS under review
null
null
null
cs.GR
http://creativecommons.org/publicdomain/zero/1.0/
Our ability to understand data has always lagged behind our ability to collect it. This is particularly true in urban environments, where mass data capture is particularly valuable, but the objects captured are more varied, denser, and complex. To understand the structure and content of the environment, we must proce...
[ { "created": "Mon, 2 Jul 2018 14:14:57 GMT", "version": "v1" } ]
2018-07-03
[ [ "Kelly", "Tom", "" ], [ "Mitra", "Niloy J.", "" ] ]
Our ability to understand data has always lagged behind our ability to collect it. This is particularly true in urban environments, where mass data capture is particularly valuable, but the objects captured are more varied, denser, and complex. To understand the structure and content of the environment, we must process...
1405.3393
Gregory Duck
Gregory J. Duck and Remy Haemmerle and Martin Sulzmann
On Termination, Confluence and Consistent CHR-based Type Inference
null
Theory and Practice of Logic Programming 14 (2014) 619-632
10.1017/S1471068414000246
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the application of Constraint Handling Rules (CHR) for the specification of type inference systems, such as that used by Haskell. Confluence of CHR guarantees that the answer provided by type inference is correct and consistent. The standard method for establishing confluence relies on an assumption that ...
[ { "created": "Wed, 14 May 2014 07:51:39 GMT", "version": "v1" } ]
2020-02-19
[ [ "Duck", "Gregory J.", "" ], [ "Haemmerle", "Remy", "" ], [ "Sulzmann", "Martin", "" ] ]
We consider the application of Constraint Handling Rules (CHR) for the specification of type inference systems, such as that used by Haskell. Confluence of CHR guarantees that the answer provided by type inference is correct and consistent. The standard method for establishing confluence relies on an assumption that th...
2404.11052
Mohammad Shiri
Mohammad Shiri, Monalika Padma Reddy, Jiangwen Sun
Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification
8 pages, 7 figures
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Invasive ductal carcinoma (IDC) is the most prevalent form of breast cancer. Breast tissue histopathological examination is critical in diagnosing and classifying breast cancer. Although existing methods have shown promising results, there is still room for improvement in the classification accuracy and generalizatio...
[ { "created": "Wed, 17 Apr 2024 03:51:55 GMT", "version": "v1" }, { "created": "Thu, 18 Apr 2024 01:59:27 GMT", "version": "v2" } ]
2024-04-19
[ [ "Shiri", "Mohammad", "" ], [ "Reddy", "Monalika Padma", "" ], [ "Sun", "Jiangwen", "" ] ]
Invasive ductal carcinoma (IDC) is the most prevalent form of breast cancer. Breast tissue histopathological examination is critical in diagnosing and classifying breast cancer. Although existing methods have shown promising results, there is still room for improvement in the classification accuracy and generalization ...
2303.02618
Yanjie Song
Yanjie Song, P. N. Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Yingwu Chen, Yutong Wu
Ensemble Reinforcement Learning: A Survey
34 pages
null
null
null
cs.LG cs.AI cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reinforcement Learning (RL) has emerged as a highly effective technique for addressing various scientific and applied problems. Despite its success, certain complex tasks remain challenging to be addressed solely with a single model and algorithm. In response, ensemble reinforcement learning (ERL), a promising approa...
[ { "created": "Sun, 5 Mar 2023 09:26:44 GMT", "version": "v1" }, { "created": "Wed, 19 Apr 2023 08:43:54 GMT", "version": "v2" }, { "created": "Wed, 13 Dec 2023 13:27:25 GMT", "version": "v3" } ]
2023-12-14
[ [ "Song", "Yanjie", "" ], [ "Suganthan", "P. N.", "" ], [ "Pedrycz", "Witold", "" ], [ "Ou", "Junwei", "" ], [ "He", "Yongming", "" ], [ "Chen", "Yingwu", "" ], [ "Wu", "Yutong", "" ] ]
Reinforcement Learning (RL) has emerged as a highly effective technique for addressing various scientific and applied problems. Despite its success, certain complex tasks remain challenging to be addressed solely with a single model and algorithm. In response, ensemble reinforcement learning (ERL), a promising approach...
2109.10385
Kishan Chandan
Kishan Chandan, Jack Albertson, Xiaohan Zhang, Xiaoyang Zhang, Yao Liu, Shiqi Zhang
Learning to Guide Human Attention on Mobile Telepresence Robots with 360 Vision
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mobile telepresence robots (MTRs) allow people to navigate and interact with a remote environment that is in a place other than the person's true location. Thanks to the recent advances in 360 degree vision, many MTRs are now equipped with an all-degree visual perception capability. However, people's visual field hor...
[ { "created": "Tue, 21 Sep 2021 18:15:05 GMT", "version": "v1" }, { "created": "Fri, 25 Feb 2022 16:49:26 GMT", "version": "v2" } ]
2022-02-28
[ [ "Chandan", "Kishan", "" ], [ "Albertson", "Jack", "" ], [ "Zhang", "Xiaohan", "" ], [ "Zhang", "Xiaoyang", "" ], [ "Liu", "Yao", "" ], [ "Zhang", "Shiqi", "" ] ]
Mobile telepresence robots (MTRs) allow people to navigate and interact with a remote environment that is in a place other than the person's true location. Thanks to the recent advances in 360 degree vision, many MTRs are now equipped with an all-degree visual perception capability. However, people's visual field horiz...
2311.11753
Sai Amrit Patnaik
Sai Amrit Patnaik, Shivali Chansoriya, Anil K. Jain, Anoop M. Namboodiri
AdvGen: Physical Adversarial Attack on Face Presentation Attack Detection Systems
10 pages, 9 figures, Accepted to the International Joint Conference on Biometrics (IJCB 2023)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Evaluating the risk level of adversarial images is essential for safely deploying face authentication models in the real world. Popular approaches for physical-world attacks, such as print or replay attacks, suffer from some limitations, like including physical and geometrical artifacts. Recently, adversarial attacks...
[ { "created": "Mon, 20 Nov 2023 13:28:42 GMT", "version": "v1" } ]
2023-11-21
[ [ "Patnaik", "Sai Amrit", "" ], [ "Chansoriya", "Shivali", "" ], [ "Jain", "Anil K.", "" ], [ "Namboodiri", "Anoop M.", "" ] ]
Evaluating the risk level of adversarial images is essential for safely deploying face authentication models in the real world. Popular approaches for physical-world attacks, such as print or replay attacks, suffer from some limitations, like including physical and geometrical artifacts. Recently, adversarial attacks h...
1802.10488
Pierre Laroche
Gais Alhadi, Imed Kacem, Pierre Laroche, and Izzeldin M. Osman
An Approximate Pareto Set for Minimizing the Maximum Lateness and Makespan on Parallel Machines
submitted to Sose 2018
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the two-parallel machines scheduling problem, with the aim of minimizing the maximum lateness and the makespan. Formally, the problem is defined as follows. We have to schedule a set J of n jobs on two identical machines. Each job i in J has a processing time p_i and a delivery time q_i. Each machine can ...
[ { "created": "Wed, 28 Feb 2018 15:49:11 GMT", "version": "v1" } ]
2018-03-01
[ [ "Alhadi", "Gais", "" ], [ "Kacem", "Imed", "" ], [ "Laroche", "Pierre", "" ], [ "Osman", "Izzeldin M.", "" ] ]
We consider the two-parallel machines scheduling problem, with the aim of minimizing the maximum lateness and the makespan. Formally, the problem is defined as follows. We have to schedule a set J of n jobs on two identical machines. Each job i in J has a processing time p_i and a delivery time q_i. Each machine can on...
2106.15821
Eduardo G. Altmann
Charles C. Hyland, Yuanming Tao, Lamiae Azizi, Martin Gerlach, Tiago P. Peixoto, and Eduardo G. Altmann
Multilayer Networks for Text Analysis with Multiple Data Types
17 pages, 6 figures
EPJ Data Science volume 10, Article number: 33 (2021)
10.1140/epjds/s13688-021-00288-5
null
cs.SI physics.soc-ph stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We are interested in the widespread problem of clustering documents and finding topics in large collections of written documents in the presence of metadata and hyperlinks. To tackle the challenge of accounting for these different types of datasets, we propose a novel framework based on Multilayer Networks and Stocha...
[ { "created": "Wed, 30 Jun 2021 05:47:39 GMT", "version": "v1" } ]
2021-07-01
[ [ "Hyland", "Charles C.", "" ], [ "Tao", "Yuanming", "" ], [ "Azizi", "Lamiae", "" ], [ "Gerlach", "Martin", "" ], [ "Peixoto", "Tiago P.", "" ], [ "Altmann", "Eduardo G.", "" ] ]
We are interested in the widespread problem of clustering documents and finding topics in large collections of written documents in the presence of metadata and hyperlinks. To tackle the challenge of accounting for these different types of datasets, we propose a novel framework based on Multilayer Networks and Stochast...
1804.09196
Stephen Hagen
Edward D. Ramirez and Stephen J. Hagen
The quantitative measure and statistical distribution of fame
17 pages, 6 figures
null
10.1371/journal.pone.0200196
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fame and celebrity play an ever-increasing role in our culture. However, despite the cultural and economic importance of fame and its gradations, there exists no consensus method for quantifying the fame of an individual, or of comparing that of two individuals. We argue that, even if fame is difficult to measure wit...
[ { "created": "Tue, 24 Apr 2018 18:18:23 GMT", "version": "v1" } ]
2018-09-05
[ [ "Ramirez", "Edward D.", "" ], [ "Hagen", "Stephen J.", "" ] ]
Fame and celebrity play an ever-increasing role in our culture. However, despite the cultural and economic importance of fame and its gradations, there exists no consensus method for quantifying the fame of an individual, or of comparing that of two individuals. We argue that, even if fame is difficult to measure with ...
2103.05062
Fr\'ed\'eric Lemoine PhD
Fr\'ed\'eric Lemoine (1), Tatiana Aubonnet (1 and 2) and No\"emie Simoni (2) ((1) Conservatoire National des Arts et M\'etiers (CNAM), CEDRIC, Paris, France., (2) T\'el\'ecom-Paris, Palaiseau, France.)
Self-Assemble-Featured Internet of Things
21 pages, 16 figures
Future Generation Computer Systems 112 (2020) 41-57
10.1016/j.future.2020.05.012
null
cs.SE
http://creativecommons.org/licenses/by-nc-nd/4.0/
The Internet of Things supports various industrial applications. The cooperation and coordination of smart things are a promising strategy for satisfying requirements that are beyond the capacity of a single smart thing. One of the major challenges for today's software engineering is the management of large and compl...
[ { "created": "Mon, 8 Mar 2021 20:37:45 GMT", "version": "v1" } ]
2021-03-10
[ [ "Lemoine", "Frédéric", "", "1 and 2" ], [ "Aubonnet", "Tatiana", "", "1 and 2" ], [ "Simoni", "Noëmie", "" ] ]
The Internet of Things supports various industrial applications. The cooperation and coordination of smart things are a promising strategy for satisfying requirements that are beyond the capacity of a single smart thing. One of the major challenges for today's software engineering is the management of large and complex...
2007.00266
Ben Bogin
Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering
Accepted for publication in Transactions of the Association for Computational Linguistics (TACL), 2020. Author's final version
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Answering questions that involve multi-step reasoning requires decomposing them and using the answers of intermediate steps to reach the final answer. However, state-of-the-art models in grounded question answering often do not explicitly perform decomposition, leading to difficulties in generalization to out-of-dist...
[ { "created": "Wed, 1 Jul 2020 06:22:51 GMT", "version": "v1" }, { "created": "Mon, 9 Nov 2020 14:35:21 GMT", "version": "v2" }, { "created": "Tue, 10 Nov 2020 06:22:21 GMT", "version": "v3" } ]
2020-11-11
[ [ "Bogin", "Ben", "" ], [ "Subramanian", "Sanjay", "" ], [ "Gardner", "Matt", "" ], [ "Berant", "Jonathan", "" ] ]
Answering questions that involve multi-step reasoning requires decomposing them and using the answers of intermediate steps to reach the final answer. However, state-of-the-art models in grounded question answering often do not explicitly perform decomposition, leading to difficulties in generalization to out-of-distri...
2312.15742
Xiang Li
Li Xiang and Junbo Yin and Wei Li and Cheng-Zhong Xu and Ruigang Yang and Jianbing Shen
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection
aaai2024
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vehicle-to-Everything (V2X) collaborative perception has recently gained significant attention due to its capability to enhance scene understanding by integrating information from various agents, e.g., vehicles, and infrastructure. However, current works often treat the information from each agent equally, ignoring t...
[ { "created": "Mon, 25 Dec 2023 14:40:46 GMT", "version": "v1" } ]
2023-12-27
[ [ "Xiang", "Li", "" ], [ "Yin", "Junbo", "" ], [ "Li", "Wei", "" ], [ "Xu", "Cheng-Zhong", "" ], [ "Yang", "Ruigang", "" ], [ "Shen", "Jianbing", "" ] ]
Vehicle-to-Everything (V2X) collaborative perception has recently gained significant attention due to its capability to enhance scene understanding by integrating information from various agents, e.g., vehicles, and infrastructure. However, current works often treat the information from each agent equally, ignoring the...
2110.15548
Tatpong Katanyukul
Pisit Nakjai and Jiradej Ponsawat and Tatpong Katanyukul
Latent Cognizance: What Machine Really Learns
6 pages
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite overwhelming achievements in recognition accuracy, extending an open-set capability -- ability to identify when the question is out of scope -- remains greatly challenging in a scalable machine learning inference. A recent research has discovered Latent Cognizance (LC) -- an insight on a recognition mechanism...
[ { "created": "Fri, 29 Oct 2021 05:26:38 GMT", "version": "v1" } ]
2021-11-01
[ [ "Nakjai", "Pisit", "" ], [ "Ponsawat", "Jiradej", "" ], [ "Katanyukul", "Tatpong", "" ] ]
Despite overwhelming achievements in recognition accuracy, extending an open-set capability -- ability to identify when the question is out of scope -- remains greatly challenging in a scalable machine learning inference. A recent research has discovered Latent Cognizance (LC) -- an insight on a recognition mechanism b...
2401.00788
Terry Yue Zhuo
Terry Yue Zhuo, Armel Zebaze, Nitchakarn Suppattarachai, Leandro von Werra, Harm de Vries, Qian Liu, Niklas Muennighoff
Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models
25 pages (12 main), 19 figures, 8 tables
null
null
null
cs.CL cs.AI cs.SE
http://creativecommons.org/licenses/by/4.0/
The high cost of full-parameter fine-tuning (FFT) of Large Language Models (LLMs) has led to a series of parameter-efficient fine-tuning (PEFT) methods. However, it remains unclear which methods provide the best cost-performance trade-off at different model scales. We introduce Astraios, a suite of 28 instruction-tun...
[ { "created": "Mon, 1 Jan 2024 15:30:19 GMT", "version": "v1" } ]
2024-01-02
[ [ "Zhuo", "Terry Yue", "" ], [ "Zebaze", "Armel", "" ], [ "Suppattarachai", "Nitchakarn", "" ], [ "von Werra", "Leandro", "" ], [ "de Vries", "Harm", "" ], [ "Liu", "Qian", "" ], [ "Muennighoff", "Niklas", ""...
The high cost of full-parameter fine-tuning (FFT) of Large Language Models (LLMs) has led to a series of parameter-efficient fine-tuning (PEFT) methods. However, it remains unclear which methods provide the best cost-performance trade-off at different model scales. We introduce Astraios, a suite of 28 instruction-tuned...
1609.04051
Nika Haghtalab
Avrim Blum, Ioannis Caragiannis, Nika Haghtalab, Ariel D. Procaccia, Eviatar B. Procaccia, Rohit Vaish
Opting Into Optimal Matchings
null
null
null
null
cs.DS math.PR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We revisit the problem of designing optimal, individually rational matching mechanisms (in a general sense, allowing for cycles in directed graphs), where each player --- who is associated with a subset of vertices --- matches as many of his own vertices when he opts into the matching mechanism as when he opts out. W...
[ { "created": "Tue, 13 Sep 2016 21:04:31 GMT", "version": "v1" } ]
2016-09-15
[ [ "Blum", "Avrim", "" ], [ "Caragiannis", "Ioannis", "" ], [ "Haghtalab", "Nika", "" ], [ "Procaccia", "Ariel D.", "" ], [ "Procaccia", "Eviatar B.", "" ], [ "Vaish", "Rohit", "" ] ]
We revisit the problem of designing optimal, individually rational matching mechanisms (in a general sense, allowing for cycles in directed graphs), where each player --- who is associated with a subset of vertices --- matches as many of his own vertices when he opts into the matching mechanism as when he opts out. We ...
2007.13250
Yichen Zhang
Yichen Zhang and Jianzhe Liu and Feng Qiu and Tianqi Hong and Rui Yao
Deep Active Learning for Solvability Prediction in Power Systems
null
null
null
null
cs.LG cs.SY eess.SY stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional methods for solvability region analysis can only have inner approximations with inconclusive conservatism. Machine learning methods have been proposed to approach the real region. In this letter, we propose a deep active learning framework for power system solvability prediction. Compared with the passive...
[ { "created": "Mon, 27 Jul 2020 00:13:09 GMT", "version": "v1" }, { "created": "Tue, 22 Dec 2020 07:30:08 GMT", "version": "v2" } ]
2020-12-23
[ [ "Zhang", "Yichen", "" ], [ "Liu", "Jianzhe", "" ], [ "Qiu", "Feng", "" ], [ "Hong", "Tianqi", "" ], [ "Yao", "Rui", "" ] ]
Traditional methods for solvability region analysis can only have inner approximations with inconclusive conservatism. Machine learning methods have been proposed to approach the real region. In this letter, we propose a deep active learning framework for power system solvability prediction. Compared with the passive l...
2003.13667
Karim Banawan
Sajani Vithana and Karim Banawan and Sennur Ulukus
Semantic Private Information Retrieval
submitted for publication
null
null
null
cs.IT cs.CR eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the problem of semantic private information retrieval (semantic PIR). In semantic PIR, a user retrieves a message out of $K$ independent messages stored in $N$ replicated and non-colluding databases without revealing the identity of the desired message to any individual database. The messages come with...
[ { "created": "Mon, 30 Mar 2020 17:51:57 GMT", "version": "v1" } ]
2020-03-31
[ [ "Vithana", "Sajani", "" ], [ "Banawan", "Karim", "" ], [ "Ulukus", "Sennur", "" ] ]
We investigate the problem of semantic private information retrieval (semantic PIR). In semantic PIR, a user retrieves a message out of $K$ independent messages stored in $N$ replicated and non-colluding databases without revealing the identity of the desired message to any individual database. The messages come with \...
2403.13841
Zhongqi Yang
Zhongqi Yang, Yuning Wang, Ken S. Yamashita, Maryam Sabah, Elahe Khatibi, Iman Azimi, Nikil Dutt, Jessica L. Borelli, and Amir M. Rahmani
Integrating Wearable Sensor Data and Self-reported Diaries for Personalized Affect Forecasting
Accepted by Connected Health: Applications, Systems and Engineering Technologies (CHASE) 2024
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Emotional states, as indicators of affect, are pivotal to overall health, making their accurate prediction before onset crucial. Current studies are primarily centered on immediate short-term affect detection using data from wearable and mobile devices. These studies typically focus on objective sensory measures, oft...
[ { "created": "Sat, 16 Mar 2024 17:24:38 GMT", "version": "v1" }, { "created": "Sat, 23 Mar 2024 18:27:49 GMT", "version": "v2" } ]
2024-03-26
[ [ "Yang", "Zhongqi", "" ], [ "Wang", "Yuning", "" ], [ "Yamashita", "Ken S.", "" ], [ "Sabah", "Maryam", "" ], [ "Khatibi", "Elahe", "" ], [ "Azimi", "Iman", "" ], [ "Dutt", "Nikil", "" ], [ "Borelli"...
Emotional states, as indicators of affect, are pivotal to overall health, making their accurate prediction before onset crucial. Current studies are primarily centered on immediate short-term affect detection using data from wearable and mobile devices. These studies typically focus on objective sensory measures, often...
2101.08024
Zhonghao Zhang
Zhonghao Zhang and Yipeng Liu and Xingyu Cao and Fei Wen and Ce Zhu
Scalable Deep Compressive Sensing
null
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep learning has been used to image compressive sensing (CS) for enhanced reconstruction performance. However, most existing deep learning methods train different models for different subsampling ratios, which brings additional hardware burden. In this paper, we develop a general framework named scalable deep compre...
[ { "created": "Wed, 20 Jan 2021 08:42:50 GMT", "version": "v1" }, { "created": "Fri, 22 Jan 2021 02:53:03 GMT", "version": "v2" } ]
2021-01-25
[ [ "Zhang", "Zhonghao", "" ], [ "Liu", "Yipeng", "" ], [ "Cao", "Xingyu", "" ], [ "Wen", "Fei", "" ], [ "Zhu", "Ce", "" ] ]
Deep learning has been used to image compressive sensing (CS) for enhanced reconstruction performance. However, most existing deep learning methods train different models for different subsampling ratios, which brings additional hardware burden. In this paper, we develop a general framework named scalable deep compress...
2012.06881
Muhammad Fayaz
Muhammad Fayaz, Wenqiang Yi, Yuanwei Liu, and Arumugam Nallanathan
Transmit Power Pool Design for Grant-Free NOMA-IoT Networks via Deep Reinforcement Learning
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Grant-free non-orthogonal multiple access (GF-NOMA) is a potential multiple access framework for short-packet internet-of-things (IoT) networks to enhance connectivity. However, the resource allocation problem in GF-NOMA is challenging due to the absence of closed-loop power control. We design a prototype of transmit...
[ { "created": "Sat, 12 Dec 2020 18:26:55 GMT", "version": "v1" }, { "created": "Thu, 3 Jun 2021 10:05:13 GMT", "version": "v2" } ]
2021-06-04
[ [ "Fayaz", "Muhammad", "" ], [ "Yi", "Wenqiang", "" ], [ "Liu", "Yuanwei", "" ], [ "Nallanathan", "Arumugam", "" ] ]
Grant-free non-orthogonal multiple access (GF-NOMA) is a potential multiple access framework for short-packet internet-of-things (IoT) networks to enhance connectivity. However, the resource allocation problem in GF-NOMA is challenging due to the absence of closed-loop power control. We design a prototype of transmit p...
1801.07145
Eric Alcaide
Eric Alcaide
E-swish: Adjusting Activations to Different Network Depths
null
null
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Activation functions have a notorious impact on neural networks on both training and testing the models against the desired problem. Currently, the most used activation function is the Rectified Linear Unit (ReLU). This paper introduces a new and novel activation function, closely related with the new activation $Swi...
[ { "created": "Mon, 22 Jan 2018 15:40:29 GMT", "version": "v1" } ]
2018-01-23
[ [ "Alcaide", "Eric", "" ] ]
Activation functions have a notorious impact on neural networks on both training and testing the models against the desired problem. Currently, the most used activation function is the Rectified Linear Unit (ReLU). This paper introduces a new and novel activation function, closely related with the new activation $Swish...
1908.03106
Jesse Hoey
Jesse Hoey and Neil J. MacKinnon
"Conservatives Overfit, Liberals Underfit": The Social-Psychological Control of Affect and Uncertainty
This is an extended version of the paper presented at SE-THEMOS workshop at ACII 2019 in Cambridge England. Version 2 and 3 of this article added sections on reinforcement learning(2.6 and 5.6), and a section on neuroscience and the relation between cognition and affect (2.4)
null
null
null
cs.AI cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The presence of artificial agents in human social networks is growing. From chatbots to robots, human experience in the developed world is moving towards a socio-technical system in which agents can be technological or biological, with increasingly blurred distinctions between. Given that emotion is a key element of ...
[ { "created": "Thu, 8 Aug 2019 15:04:52 GMT", "version": "v1" }, { "created": "Fri, 16 Aug 2019 01:19:23 GMT", "version": "v2" }, { "created": "Sun, 1 Sep 2019 11:21:51 GMT", "version": "v3" } ]
2019-09-04
[ [ "Hoey", "Jesse", "" ], [ "MacKinnon", "Neil J.", "" ] ]
The presence of artificial agents in human social networks is growing. From chatbots to robots, human experience in the developed world is moving towards a socio-technical system in which agents can be technological or biological, with increasingly blurred distinctions between. Given that emotion is a key element of hu...
1211.2065
Lingyang Song
Chen Xu, Lingyang Song, Zhu Han, Qun Zhao, Xiaoli Wang, Xiang Cheng, and Bingli Jiao
Efficiency Resource Allocation for Device-to-Device Underlay Communication Systems: A Reverse Iterative Combinatorial Auction Based Approach
26 pages, 6 fgures; IEEE Journals on Selected Areas in Communications, 2012
null
10.1109/JSAC.2013.SUP.0513031
null
cs.GT cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Peer-to-peer communication has been recently considered as a popular issue for local area services. An innovative resource allocation scheme is proposed to improve the performance of mobile peer-to-peer, i.e., device-to-device (D2D), communications as an underlay in the downlink (DL) cellular networks. To optimize th...
[ { "created": "Fri, 9 Nov 2012 07:59:50 GMT", "version": "v1" } ]
2016-11-17
[ [ "Xu", "Chen", "" ], [ "Song", "Lingyang", "" ], [ "Han", "Zhu", "" ], [ "Zhao", "Qun", "" ], [ "Wang", "Xiaoli", "" ], [ "Cheng", "Xiang", "" ], [ "Jiao", "Bingli", "" ] ]
Peer-to-peer communication has been recently considered as a popular issue for local area services. An innovative resource allocation scheme is proposed to improve the performance of mobile peer-to-peer, i.e., device-to-device (D2D), communications as an underlay in the downlink (DL) cellular networks. To optimize the ...
2201.08354
Wolfgang Fuhl
Wolfgang Fuhl
HPCGen: Hierarchical K-Means Clustering and Level Based Principal Components for Scan Path Genaration
null
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a new approach for decomposing scan paths and its utility for generating new scan paths. For this purpose, we use the K-Means clustering procedure to the raw gaze data and subsequently iteratively to find more clusters in the found clusters. The found clusters are grouped for each level in t...
[ { "created": "Wed, 19 Jan 2022 16:22:57 GMT", "version": "v1" } ]
2022-01-21
[ [ "Fuhl", "Wolfgang", "" ] ]
In this paper, we present a new approach for decomposing scan paths and its utility for generating new scan paths. For this purpose, we use the K-Means clustering procedure to the raw gaze data and subsequently iteratively to find more clusters in the found clusters. The found clusters are grouped for each level in the...
2102.00382
Ruchit Agrawal
Ruchit Agrawal, Daniel Wolff, Simon Dixon
Structure-Aware Audio-to-Score Alignment using Progressively Dilated Convolutional Neural Networks
ICASSP 2021 camera-ready version. Copyrights belong to IEEE
null
null
null
cs.SD cs.LG eess.AS
http://creativecommons.org/licenses/by-nc-nd/4.0/
The identification of structural differences between a music performance and the score is a challenging yet integral step of audio-to-score alignment, an important subtask of music information retrieval. We present a novel method to detect such differences between the score and performance for a given piece of music ...
[ { "created": "Sun, 31 Jan 2021 05:14:58 GMT", "version": "v1" }, { "created": "Sun, 14 Feb 2021 04:52:40 GMT", "version": "v2" } ]
2021-02-16
[ [ "Agrawal", "Ruchit", "" ], [ "Wolff", "Daniel", "" ], [ "Dixon", "Simon", "" ] ]
The identification of structural differences between a music performance and the score is a challenging yet integral step of audio-to-score alignment, an important subtask of music information retrieval. We present a novel method to detect such differences between the score and performance for a given piece of music us...
1310.2748
Ramin Khalili
Juhoon Kim, Ramin Khalili, Anja Feldmann, Yung-Chih Chen, Don Towsley
Multi-Source Multi-Path HTTP (mHTTP): A Proposal
12 pages
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Today, most devices have multiple network interfaces. Coupled with wide-spread replication of popular content at multiple locations, this provides substantial path diversity in the Internet. We propose Multi-source Multipath HTTP, mHTTP, which takes advantage of all existing types of path diversity in the Internet. m...
[ { "created": "Thu, 10 Oct 2013 09:57:34 GMT", "version": "v1" }, { "created": "Mon, 9 Dec 2013 18:48:51 GMT", "version": "v2" }, { "created": "Tue, 10 Dec 2013 09:52:27 GMT", "version": "v3" } ]
2013-12-11
[ [ "Kim", "Juhoon", "" ], [ "Khalili", "Ramin", "" ], [ "Feldmann", "Anja", "" ], [ "Chen", "Yung-Chih", "" ], [ "Towsley", "Don", "" ] ]
Today, most devices have multiple network interfaces. Coupled with wide-spread replication of popular content at multiple locations, this provides substantial path diversity in the Internet. We propose Multi-source Multipath HTTP, mHTTP, which takes advantage of all existing types of path diversity in the Internet. mHT...
1606.08948
Vishal Sharma
Vishal Chandra Sharma, Ganesh Gopalakrishnan, Sriram Krishnamoorthy
PRESAGE: Protecting Structured Address Generation against Soft Errors
null
null
null
null
cs.SE cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern computer scaling trends in pursuit of larger component counts and power efficiency have, unfortunately, lead to less reliable hardware and consequently soft errors escaping into application data ("silent data corruptions"). Techniques to enhance system resilience hinge on the availability of efficient error de...
[ { "created": "Wed, 29 Jun 2016 04:06:41 GMT", "version": "v1" } ]
2016-07-05
[ [ "Sharma", "Vishal Chandra", "" ], [ "Gopalakrishnan", "Ganesh", "" ], [ "Krishnamoorthy", "Sriram", "" ] ]
Modern computer scaling trends in pursuit of larger component counts and power efficiency have, unfortunately, lead to less reliable hardware and consequently soft errors escaping into application data ("silent data corruptions"). Techniques to enhance system resilience hinge on the availability of efficient error dete...
2105.07741
Michael Murray
Michael Murray, Vinayak Abrol, Jared Tanner
Activation function design for deep networks: linearity and effective initialisation
33 pages, 10 figures, paper code and scripts are hosted at https://github.com/Cross-Caps/AFLI
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
The activation function deployed in a deep neural network has great influence on the performance of the network at initialisation, which in turn has implications for training. In this paper we study how to avoid two problems at initialisation identified in prior works: rapid convergence of pairwise input correlations...
[ { "created": "Mon, 17 May 2021 11:30:46 GMT", "version": "v1" } ]
2021-05-18
[ [ "Murray", "Michael", "" ], [ "Abrol", "Vinayak", "" ], [ "Tanner", "Jared", "" ] ]
The activation function deployed in a deep neural network has great influence on the performance of the network at initialisation, which in turn has implications for training. In this paper we study how to avoid two problems at initialisation identified in prior works: rapid convergence of pairwise input correlations, ...
1908.02571
Afshin Sadeghi
Afshin Sadeghi and Jens Lehmann
Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter
AI for Good, Data Science for Social Good, Machine learning for Social Good, Twitter Data, Knowledge Graph Embeddings, Medical Research
ECML SOGOOD 2019
null
null
cs.SI cs.AI cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Informing professionals about the latest research results in their field is a particularly important task in the field of health care, since any development in this field directly improves the health status of the patients. Meanwhile, social media is an infrastructure that allows public instant sharing of information...
[ { "created": "Wed, 24 Jul 2019 10:15:40 GMT", "version": "v1" }, { "created": "Fri, 6 Dec 2019 14:37:36 GMT", "version": "v2" }, { "created": "Fri, 21 Feb 2020 14:25:56 GMT", "version": "v3" } ]
2020-02-24
[ [ "Sadeghi", "Afshin", "" ], [ "Lehmann", "Jens", "" ] ]
Informing professionals about the latest research results in their field is a particularly important task in the field of health care, since any development in this field directly improves the health status of the patients. Meanwhile, social media is an infrastructure that allows public instant sharing of information, ...
2008.12647
Yiren Lu
Yiren Lu, Jonathan Tompson
ADAIL: Adaptive Adversarial Imitation Learning
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the ADaptive Adversarial Imitation Learning (ADAIL) algorithm for learning adaptive policies that can be transferred between environments of varying dynamics, by imitating a small number of demonstrations collected from a single source domain. This is an important problem in robotic learning because in rea...
[ { "created": "Sun, 23 Aug 2020 06:11:00 GMT", "version": "v1" } ]
2020-08-31
[ [ "Lu", "Yiren", "" ], [ "Tompson", "Jonathan", "" ] ]
We present the ADaptive Adversarial Imitation Learning (ADAIL) algorithm for learning adaptive policies that can be transferred between environments of varying dynamics, by imitating a small number of demonstrations collected from a single source domain. This is an important problem in robotic learning because in real ...
2204.00488
Bruno Jos\'e Olivieri de Souza
Breno Perricone, Thiago Lamenza, Marcelo Paulon, Bruno Jose Olivieri de Souza, Markus Endler
GrADyS-GS -- A ground station for managing field experiments with Autonomous Vehicles and Wireless Sensor Networks
null
null
null
null
cs.RO cs.DC
http://creativecommons.org/licenses/by/4.0/
In many kinds of research, collecting data is tailored to individual research. It is usual to use dedicated and not reusable software to collect data. GrADyS Ground Station framework (GrADyS-GS) aims to collect data in a reusable manner with dynamic background tools. This technical report describes GrADyS-GS, a groun...
[ { "created": "Fri, 1 Apr 2022 14:48:02 GMT", "version": "v1" } ]
2022-04-04
[ [ "Perricone", "Breno", "" ], [ "Lamenza", "Thiago", "" ], [ "Paulon", "Marcelo", "" ], [ "de Souza", "Bruno Jose Olivieri", "" ], [ "Endler", "Markus", "" ] ]
In many kinds of research, collecting data is tailored to individual research. It is usual to use dedicated and not reusable software to collect data. GrADyS Ground Station framework (GrADyS-GS) aims to collect data in a reusable manner with dynamic background tools. This technical report describes GrADyS-GS, a ground ...
2005.12840
Michelangelo Misuraca
Michelangelo Misuraca, Alessia Forciniti, Germana Scepi, Maria Spano
Sentiment Analysis for Education with R: packages, methods and practical applications
null
null
null
null
cs.IR stat.AP stat.CO
http://creativecommons.org/licenses/by-nc-sa/4.0/
Sentiment Analysis (SA) refers to a family of techniques at the crossroads of statistics, natural language processing, and computational linguistics. The primary goal is to detect the semantic orientation of individual opinions and comments expressed in written texts. There are several practical applications of SA in...
[ { "created": "Fri, 8 May 2020 14:10:43 GMT", "version": "v1" } ]
2020-05-27
[ [ "Misuraca", "Michelangelo", "" ], [ "Forciniti", "Alessia", "" ], [ "Scepi", "Germana", "" ], [ "Spano", "Maria", "" ] ]
Sentiment Analysis (SA) refers to a family of techniques at the crossroads of statistics, natural language processing, and computational linguistics. The primary goal is to detect the semantic orientation of individual opinions and comments expressed in written texts. There are several practical applications of SA in s...
2305.16635
Jaehun Jung
Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing
NAACL 2024
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
We present Impossible Distillation, a novel framework for paraphrasing and sentence summarization, that distills a high-quality dataset and model from a low-quality teacher that itself cannot perform these tasks. Unlike prior works that rely on an extreme-scale teacher model (e.g., GPT3) or task-specific architecture...
[ { "created": "Fri, 26 May 2023 05:19:24 GMT", "version": "v1" }, { "created": "Tue, 19 Mar 2024 16:14:04 GMT", "version": "v2" }, { "created": "Fri, 5 Apr 2024 20:10:51 GMT", "version": "v3" } ]
2024-04-09
[ [ "Jung", "Jaehun", "" ], [ "West", "Peter", "" ], [ "Jiang", "Liwei", "" ], [ "Brahman", "Faeze", "" ], [ "Lu", "Ximing", "" ], [ "Fisher", "Jillian", "" ], [ "Sorensen", "Taylor", "" ], [ "Choi", ...
We present Impossible Distillation, a novel framework for paraphrasing and sentence summarization, that distills a high-quality dataset and model from a low-quality teacher that itself cannot perform these tasks. Unlike prior works that rely on an extreme-scale teacher model (e.g., GPT3) or task-specific architecture, ...
2310.03225
Akifumi Wachi
Akifumi Wachi, Wataru Hashimoto, Xun Shen, Kazumune Hashimoto
Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms
Accepted to NeurIPS 2023
null
null
null
cs.LG cs.AI cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Safe exploration is essential for the practical use of reinforcement learning (RL) in many real-world scenarios. In this paper, we present a generalized safe exploration (GSE) problem as a unified formulation of common safe exploration problems. We then propose a solution of the GSE problem in the form of a meta-algo...
[ { "created": "Thu, 5 Oct 2023 00:47:09 GMT", "version": "v1" } ]
2023-10-06
[ [ "Wachi", "Akifumi", "" ], [ "Hashimoto", "Wataru", "" ], [ "Shen", "Xun", "" ], [ "Hashimoto", "Kazumune", "" ] ]
Safe exploration is essential for the practical use of reinforcement learning (RL) in many real-world scenarios. In this paper, we present a generalized safe exploration (GSE) problem as a unified formulation of common safe exploration problems. We then propose a solution of the GSE problem in the form of a meta-algori...
1510.02574
Jun Lin
Jun Lin, Chenrong Xiong and Zhiyuan Yan
A High Throughput List Decoder Architecture for Polar Codes
submitted to IEEE TVLSI
null
10.1109/TVLSI.2015.2499777
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While long polar codes can achieve the capacity of arbitrary binary-input discrete memoryless channels when decoded by a low complexity successive cancelation (SC) algorithm, the error performance of the SC algorithm is inferior for polar codes with finite block lengths. The cyclic redundancy check (CRC) aided succes...
[ { "created": "Fri, 9 Oct 2015 06:11:34 GMT", "version": "v1" } ]
2016-11-17
[ [ "Lin", "Jun", "" ], [ "Xiong", "Chenrong", "" ], [ "Yan", "Zhiyuan", "" ] ]
While long polar codes can achieve the capacity of arbitrary binary-input discrete memoryless channels when decoded by a low complexity successive cancelation (SC) algorithm, the error performance of the SC algorithm is inferior for polar codes with finite block lengths. The cyclic redundancy check (CRC) aided successi...
2403.02437
Hyejun Jeong
Hyejun Jeong, Shiqing Ma, Amir Houmansadr
SoK: Challenges and Opportunities in Federated Unlearning
null
null
null
null
cs.LG cs.AI cs.DC
http://creativecommons.org/licenses/by/4.0/
Federated learning (FL), introduced in 2017, facilitates collaborative learning between non-trusting parties with no need for the parties to explicitly share their data among themselves. This allows training models on user data while respecting privacy regulations such as GDPR and CPRA. However, emerging privacy requ...
[ { "created": "Mon, 4 Mar 2024 19:35:08 GMT", "version": "v1" }, { "created": "Wed, 5 Jun 2024 19:00:03 GMT", "version": "v2" } ]
2024-06-07
[ [ "Jeong", "Hyejun", "" ], [ "Ma", "Shiqing", "" ], [ "Houmansadr", "Amir", "" ] ]
Federated learning (FL), introduced in 2017, facilitates collaborative learning between non-trusting parties with no need for the parties to explicitly share their data among themselves. This allows training models on user data while respecting privacy regulations such as GDPR and CPRA. However, emerging privacy requir...
2206.09391
Jiaming Zhang
Jiaming Zhang, Qi Yi, Jitao Sang
Towards Adversarial Attack on Vision-Language Pre-training Models
Accepted by ACM MM2022. Code is available in GitHub
null
null
null
cs.LG cs.CL cs.CV cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While vision-language pre-training model (VLP) has shown revolutionary improvements on various vision-language (V+L) tasks, the studies regarding its adversarial robustness remain largely unexplored. This paper studied the adversarial attack on popular VLP models and V+L tasks. First, we analyzed the performance of a...
[ { "created": "Sun, 19 Jun 2022 12:55:45 GMT", "version": "v1" }, { "created": "Thu, 20 Oct 2022 02:32:02 GMT", "version": "v2" } ]
2022-10-21
[ [ "Zhang", "Jiaming", "" ], [ "Yi", "Qi", "" ], [ "Sang", "Jitao", "" ] ]
While vision-language pre-training model (VLP) has shown revolutionary improvements on various vision-language (V+L) tasks, the studies regarding its adversarial robustness remain largely unexplored. This paper studied the adversarial attack on popular VLP models and V+L tasks. First, we analyzed the performance of adv...
2107.00842
Yingying Zhu
Hongji Yang, Xiufan Lu and Yingying Zhu
Cross-view Geo-localization with Evolving Transformer
Under Review
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
In this work, we address the problem of cross-view geo-localization, which estimates the geospatial location of a street view image by matching it with a database of geo-tagged aerial images. The cross-view matching task is extremely challenging due to drastic appearance and geometry differences across views. Unlike ...
[ { "created": "Fri, 2 Jul 2021 05:33:14 GMT", "version": "v1" }, { "created": "Mon, 5 Jul 2021 02:23:48 GMT", "version": "v2" } ]
2021-07-06
[ [ "Yang", "Hongji", "" ], [ "Lu", "Xiufan", "" ], [ "Zhu", "Yingying", "" ] ]
In this work, we address the problem of cross-view geo-localization, which estimates the geospatial location of a street view image by matching it with a database of geo-tagged aerial images. The cross-view matching task is extremely challenging due to drastic appearance and geometry differences across views. Unlike ex...
1801.00280
Ganhua Wu
Ganhua Wu
Efficient priority queueing routing strategy on mobile networks
null
null
10.1142/S0217984918501373
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mobile networks are intriguing in recent years due to their practical implications. Previous routing strategies for improving transport efficiency have little attention what order should the packets be forwarded, just simply used first-in-first-out queue discipline. Here we apply priority queueing discipline to short...
[ { "created": "Sun, 31 Dec 2017 13:15:35 GMT", "version": "v1" } ]
2018-04-18
[ [ "Wu", "Ganhua", "" ] ]
Mobile networks are intriguing in recent years due to their practical implications. Previous routing strategies for improving transport efficiency have little attention what order should the packets be forwarded, just simply used first-in-first-out queue discipline. Here we apply priority queueing discipline to shortes...
1502.00695
Rudra Kumar madapuri
Rudra Kumar M and A Ananda Rao
Assessing the Fault Proneness Degree (DFP) by Estimating the Impact of Change Request Artifacts Correlation
Originally published in Eighth International Conference on Data Mining and Warehousing (ICDMW-2014), Further the extended version is selected to publish in International Journal of Information Processing, volume 8 and issue 4, 2014
International Journal of Information Processing, 8(4), 35-44, 2014
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Exploring the impact of change requests applied to a software maintenance project helps to assess the fault-proneness of the change request to be handled further, which is perhaps a bug fix or even a new feature demand. In practice, the major development community stores change requests and related data using bug tra...
[ { "created": "Tue, 3 Feb 2015 00:48:44 GMT", "version": "v1" } ]
2015-02-04
[ [ "M", "Rudra Kumar", "" ], [ "Rao", "A Ananda", "" ] ]
Exploring the impact of change requests applied to a software maintenance project helps to assess the fault-proneness of the change request to be handled further, which is perhaps a bug fix or even a new feature demand. In practice, the major development community stores change requests and related data using bug track...
1609.05702
Pavlos Sermpezis
Pavlos Sermpezis, Gavriil Chaviaras, Petros Gigis, and Xenofontas Dimitropoulos
Monitor, Detect, Mitigate: Combating BGP Prefix Hijacking in Real-Time with ARTEMIS
null
In Proceedings of the ACM SIGCOMM 2016 Conference (SIGCOMM '16), 625-626
10.1145/2934872.2959078
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Border Gateway Protocol (BGP) is globally used by Autonomous Systems (ASes) to establish route paths for IP prefixes in the Internet. Due to the lack of authentication in BGP, an AS can hijack IP prefixes owned by other ASes (i.e., announce illegitimate route paths), impacting thus the Internet routing system and...
[ { "created": "Mon, 19 Sep 2016 13:04:18 GMT", "version": "v1" } ]
2016-11-09
[ [ "Sermpezis", "Pavlos", "" ], [ "Chaviaras", "Gavriil", "" ], [ "Gigis", "Petros", "" ], [ "Dimitropoulos", "Xenofontas", "" ] ]
The Border Gateway Protocol (BGP) is globally used by Autonomous Systems (ASes) to establish route paths for IP prefixes in the Internet. Due to the lack of authentication in BGP, an AS can hijack IP prefixes owned by other ASes (i.e., announce illegitimate route paths), impacting thus the Internet routing system and e...
2210.00440
Bumjun Jung
Bumjun Jung, Yusuke Mukuta, Tatsuya Harada
Grouped self-attention mechanism for a memory-efficient Transformer
10 pages, 3 figures, under review as a conference paper at ICLR 2023
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Time-series data analysis is important because numerous real-world tasks such as forecasting weather, electricity consumption, and stock market involve predicting data that vary over time. Time-series data are generally recorded over a long period of observation with long sequences owing to their periodic characteris...
[ { "created": "Sun, 2 Oct 2022 06:58:49 GMT", "version": "v1" }, { "created": "Thu, 6 Oct 2022 09:11:14 GMT", "version": "v2" } ]
2022-10-07
[ [ "Jung", "Bumjun", "" ], [ "Mukuta", "Yusuke", "" ], [ "Harada", "Tatsuya", "" ] ]
Time-series data analysis is important because numerous real-world tasks such as forecasting weather, electricity consumption, and stock market involve predicting data that vary over time. Time-series data are generally recorded over a long period of observation with long sequences owing to their periodic characteristi...
1402.3757
Weina Wang
Weina Wang, Lei Ying and Junshan Zhang
On the Relation Between Identifiability, Differential Privacy and Mutual-Information Privacy
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates the relation between three different notions of privacy: identifiability, differential privacy and mutual-information privacy. Under a unified privacy-distortion framework, where the distortion is defined to be the Hamming distance of the input and output databases, we establish some fundament...
[ { "created": "Sun, 16 Feb 2014 05:43:33 GMT", "version": "v1" }, { "created": "Wed, 25 Jun 2014 21:07:24 GMT", "version": "v2" }, { "created": "Sat, 22 Aug 2015 07:25:47 GMT", "version": "v3" } ]
2015-08-25
[ [ "Wang", "Weina", "" ], [ "Ying", "Lei", "" ], [ "Zhang", "Junshan", "" ] ]
This paper investigates the relation between three different notions of privacy: identifiability, differential privacy and mutual-information privacy. Under a unified privacy-distortion framework, where the distortion is defined to be the Hamming distance of the input and output databases, we establish some fundamental...
2310.16406
Ahmed Mohamed Hussain
Saeif Al-Hazbi, Ahmed Hussain, Savio Sciancalepore, Gabriele Oligeri, Panos Papadimitratos
Radio Frequency Fingerprinting via Deep Learning: Challenges and Opportunities
Authors version; Accepted for the 20th International Wireless Communications and Mobile Computing (IWCMC) Security Symposium, 2024
null
null
null
cs.CR cs.AI eess.SP
http://creativecommons.org/licenses/by-nc-nd/4.0/
Radio Frequency Fingerprinting (RFF) techniques promise to authenticate wireless devices at the physical layer based on inherent hardware imperfections introduced during manufacturing. Such RF transmitter imperfections are reflected into over-the-air signals, allowing receivers to accurately identify the RF transmitt...
[ { "created": "Wed, 25 Oct 2023 06:45:49 GMT", "version": "v1" }, { "created": "Mon, 15 Apr 2024 16:47:50 GMT", "version": "v2" } ]
2024-04-16
[ [ "Al-Hazbi", "Saeif", "" ], [ "Hussain", "Ahmed", "" ], [ "Sciancalepore", "Savio", "" ], [ "Oligeri", "Gabriele", "" ], [ "Papadimitratos", "Panos", "" ] ]
Radio Frequency Fingerprinting (RFF) techniques promise to authenticate wireless devices at the physical layer based on inherent hardware imperfections introduced during manufacturing. Such RF transmitter imperfections are reflected into over-the-air signals, allowing receivers to accurately identify the RF transmittin...
1403.4445
Artur Je\.z
Artur Je\.z
A really simple approximation of smallest grammar
Accepted for CPM 2014
null
null
null
cs.DS cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present a really simple linear-time algorithm constructing a context-free grammar of size O(g log (N/g)) for the input string, where N is the size of the input string and g the size of the optimal grammar generating this string. The algorithm works for arbitrary size alphabets, but the running time i...
[ { "created": "Tue, 18 Mar 2014 13:27:46 GMT", "version": "v1" } ]
2014-03-19
[ [ "Jeż", "Artur", "" ] ]
In this paper we present a really simple linear-time algorithm constructing a context-free grammar of size O(g log (N/g)) for the input string, where N is the size of the input string and g the size of the optimal grammar generating this string. The algorithm works for arbitrary size alphabets, but the running time is ...
2303.01669
Yangyang Shu
Yangyang Shu, Anton van den Hengel, Lingqiao Liu
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
CVPR 2023
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Self-supervised learning (SSL) strategies have demonstrated remarkable performance in various recognition tasks. However, both our preliminary investigation and recent studies suggest that they may be less effective in learning representations for fine-grained visual recognition (FGVR) since many features helpful for...
[ { "created": "Fri, 3 Mar 2023 02:07:40 GMT", "version": "v1" }, { "created": "Thu, 27 Jul 2023 06:40:49 GMT", "version": "v2" } ]
2023-07-28
[ [ "Shu", "Yangyang", "" ], [ "Hengel", "Anton van den", "" ], [ "Liu", "Lingqiao", "" ] ]
Self-supervised learning (SSL) strategies have demonstrated remarkable performance in various recognition tasks. However, both our preliminary investigation and recent studies suggest that they may be less effective in learning representations for fine-grained visual recognition (FGVR) since many features helpful for o...