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1802.05844
Kui Yu
Kui Yu, Lin Liu, and Jiuyong Li
A Unified View of Causal and Non-causal Feature Selection
null
null
null
null
cs.AI cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we aim to develop a unified view of causal and non-causal feature selection methods. The unified view will fill in the gap in the research of the relation between the two types of methods. Based on the Bayesian network framework and information theory, we first show that causal and non-causal feature s...
[ { "created": "Fri, 16 Feb 2018 06:18:06 GMT", "version": "v1" }, { "created": "Mon, 26 Feb 2018 23:49:40 GMT", "version": "v2" }, { "created": "Wed, 23 May 2018 06:38:53 GMT", "version": "v3" }, { "created": "Sun, 16 Dec 2018 03:45:56 GMT", "version": "v4" } ]
2018-12-18
[ [ "Yu", "Kui", "" ], [ "Liu", "Lin", "" ], [ "Li", "Jiuyong", "" ] ]
In this paper, we aim to develop a unified view of causal and non-causal feature selection methods. The unified view will fill in the gap in the research of the relation between the two types of methods. Based on the Bayesian network framework and information theory, we first show that causal and non-causal feature sel...
2203.13993
Xiaomeng Li
Xiaoxiao Liang, Yiqun Lin, Huazhu Fu, Lei Zhu, Xiaomeng Li
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
CVPR 2022, code: https://github.com/XMed-Lab/RSCFed
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated semi-supervised learning (FSSL) aims to derive a global model by training fully-labeled and fully-unlabeled clients or training partially labeled clients. The existing approaches work well when local clients have independent and identically distributed (IID) data but fail to generalize to a more practical F...
[ { "created": "Sat, 26 Mar 2022 05:10:44 GMT", "version": "v1" } ]
2022-03-29
[ [ "Liang", "Xiaoxiao", "" ], [ "Lin", "Yiqun", "" ], [ "Fu", "Huazhu", "" ], [ "Zhu", "Lei", "" ], [ "Li", "Xiaomeng", "" ] ]
Federated semi-supervised learning (FSSL) aims to derive a global model by training fully-labeled and fully-unlabeled clients or training partially labeled clients. The existing approaches work well when local clients have independent and identically distributed (IID) data but fail to generalize to a more practical FSS...
2205.14550
Swapnil Sayan Saha
Swapnil Sayan Saha, Sandeep Singh Sandha, Mani Srivastava
Machine Learning for Microcontroller-Class Hardware: A Review
Published in IEEE Sensors Journal. Cite this as: S. S. Saha, S. S. Sandha and M. Srivastava, "Machine Learning for Microcontroller-Class Hardware: A Review," in IEEE Sensors Journal, vol. 22, no. 22, pp. 21362-21390, 15 Nov., 2022
IEEE Sensors Journal, vol. 22, no. 22, pp. 21362-21390, 15 Nov., 2022
10.1109/JSEN.2022.3210773
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
The advancements in machine learning opened a new opportunity to bring intelligence to the low-end Internet-of-Things nodes such as microcontrollers. Conventional machine learning deployment has high memory and compute footprint hindering their direct deployment on ultra resource-constrained microcontrollers. This pa...
[ { "created": "Sun, 29 May 2022 00:59:38 GMT", "version": "v1" }, { "created": "Mon, 6 Jun 2022 15:50:30 GMT", "version": "v2" }, { "created": "Mon, 18 Jul 2022 04:52:56 GMT", "version": "v3" }, { "created": "Wed, 16 Nov 2022 19:03:29 GMT", "version": "v4" }, { "cr...
2022-12-22
[ [ "Saha", "Swapnil Sayan", "" ], [ "Sandha", "Sandeep Singh", "" ], [ "Srivastava", "Mani", "" ] ]
The advancements in machine learning opened a new opportunity to bring intelligence to the low-end Internet-of-Things nodes such as microcontrollers. Conventional machine learning deployment has high memory and compute footprint hindering their direct deployment on ultra resource-constrained microcontrollers. This pape...
1604.08080
Germ\'an Andr\'es Delbianco
Germ\'an Andr\'es Delbianco, Ilya Sergey, Aleksandar Nanevski and Anindya Banerjee
Concurrent Data Structures Linked in Time
null
null
null
null
cs.LO cs.DC cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Arguments about correctness of a concurrent data structure are typically carried out by using the notion of linearizability and specifying the linearization points of the data structure's procedures. Such arguments are often cumbersome as the linearization points' position in time can be dynamic (depend on the interf...
[ { "created": "Wed, 27 Apr 2016 14:13:46 GMT", "version": "v1" }, { "created": "Tue, 3 May 2016 00:08:37 GMT", "version": "v2" }, { "created": "Mon, 24 Oct 2016 17:22:22 GMT", "version": "v3" }, { "created": "Wed, 18 Jan 2017 13:23:29 GMT", "version": "v4" } ]
2017-01-19
[ [ "Delbianco", "Germán Andrés", "" ], [ "Sergey", "Ilya", "" ], [ "Nanevski", "Aleksandar", "" ], [ "Banerjee", "Anindya", "" ] ]
Arguments about correctness of a concurrent data structure are typically carried out by using the notion of linearizability and specifying the linearization points of the data structure's procedures. Such arguments are often cumbersome as the linearization points' position in time can be dynamic (depend on the interfer...
1904.10176
Songlin Xu
Songlin Xu and Jiacheng Zhu
Estimating Risk Levels of Driving Scenarios through Analysis of Driving Styles for Autonomous Vehicles
null
null
null
null
cs.RO cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In order to operate safely on the road, autonomous vehicles need not only to be able to identify objects in front of them, but also to be able to estimate the risk level of the object in front of the vehicle automatically. It is obvious that different objects have different levels of danger to autonomous vehicles. An...
[ { "created": "Tue, 23 Apr 2019 06:55:48 GMT", "version": "v1" } ]
2019-04-24
[ [ "Xu", "Songlin", "" ], [ "Zhu", "Jiacheng", "" ] ]
In order to operate safely on the road, autonomous vehicles need not only to be able to identify objects in front of them, but also to be able to estimate the risk level of the object in front of the vehicle automatically. It is obvious that different objects have different levels of danger to autonomous vehicles. An e...
1304.5966
Mile Sikic
Matija Korpar and Mile Sikic
SW# - GPU enabled exact alignments on genome scale
3 pages, 1 figure, 1 table
null
null
null
cs.DC cs.CE q-bio.GN
http://creativecommons.org/licenses/by-nc-sa/3.0/
Sequence alignment is one of the oldest and the most famous problems in bioinformatics. Even after 45 years, for one reason or another, this problem is still actual; current solutions are trade-offs between execution time, memory consumption and accuracy. We purpose SW#, a new CUDA GPU enabled and memory efficient im...
[ { "created": "Mon, 22 Apr 2013 14:40:15 GMT", "version": "v1" } ]
2013-04-23
[ [ "Korpar", "Matija", "" ], [ "Sikic", "Mile", "" ] ]
Sequence alignment is one of the oldest and the most famous problems in bioinformatics. Even after 45 years, for one reason or another, this problem is still actual; current solutions are trade-offs between execution time, memory consumption and accuracy. We purpose SW#, a new CUDA GPU enabled and memory efficient impl...
2001.02773
Yuqiao Chen
Yuqiao Chen, Yibo Yang, Sriraam Natarajan, Nicholas Ruozzi
Lifted Hybrid Variational Inference
AAAI 2020 Workshop on Statistical Relational AI (StarAI 2020)
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A variety of lifted inference algorithms, which exploit model symmetry to reduce computational cost, have been proposed to render inference tractable in probabilistic relational models. Most existing lifted inference algorithms operate only over discrete domains or continuous domains with restricted potential functio...
[ { "created": "Wed, 8 Jan 2020 22:29:07 GMT", "version": "v1" }, { "created": "Sat, 8 Feb 2020 03:13:02 GMT", "version": "v2" } ]
2020-02-11
[ [ "Chen", "Yuqiao", "" ], [ "Yang", "Yibo", "" ], [ "Natarajan", "Sriraam", "" ], [ "Ruozzi", "Nicholas", "" ] ]
A variety of lifted inference algorithms, which exploit model symmetry to reduce computational cost, have been proposed to render inference tractable in probabilistic relational models. Most existing lifted inference algorithms operate only over discrete domains or continuous domains with restricted potential functions...
1905.09275
Nicholas Watters
Nicholas Watters, Loic Matthey, Matko Bosnjak, Christopher P. Burgess, Alexander Lerchner
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data efficiency and robustness to task-irrelevant perturbations are long-standing challenges for deep reinforcement learning algorithms. Here we introduce a modular approach to addressing these challenges in a continuous control environment, without using hand-crafted or supervised information. Our Curious Object-Bas...
[ { "created": "Wed, 22 May 2019 17:59:32 GMT", "version": "v1" }, { "created": "Wed, 14 Aug 2019 10:36:39 GMT", "version": "v2" } ]
2019-08-15
[ [ "Watters", "Nicholas", "" ], [ "Matthey", "Loic", "" ], [ "Bosnjak", "Matko", "" ], [ "Burgess", "Christopher P.", "" ], [ "Lerchner", "Alexander", "" ] ]
Data efficiency and robustness to task-irrelevant perturbations are long-standing challenges for deep reinforcement learning algorithms. Here we introduce a modular approach to addressing these challenges in a continuous control environment, without using hand-crafted or supervised information. Our Curious Object-Based...
1301.6236
Alexander Zeh
Johan Sebastian Rosenkilde Nielsen (Technical University of Denmark), Alexander Zeh (INT - University of Ulm., INRIA Saclay - Ile de France)
Multi-Trial Guruswami--Sudan Decoding for Generalised Reed--Solomon Codes
WCC 2013 International Workshop on Coding and Cryptography (2013)
International Workshop on Coding and Cryptography (WCC) (2013)
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An iterated refinement procedure for the Guruswami--Sudan list decoding algorithm for Generalised Reed--Solomon codes based on Alekhnovich's module minimisation is proposed. The method is parametrisable and allows variants of the usual list decoding approach. In particular, finding the list of \emph{closest} codeword...
[ { "created": "Sat, 26 Jan 2013 11:16:40 GMT", "version": "v1" }, { "created": "Thu, 31 Jan 2013 07:47:15 GMT", "version": "v2" } ]
2013-05-31
[ [ "Nielsen", "Johan Sebastian Rosenkilde", "", "Technical University of Denmark" ], [ "Zeh", "Alexander", "", "INT - University of Ulm., INRIA Saclay - Ile de France" ] ]
An iterated refinement procedure for the Guruswami--Sudan list decoding algorithm for Generalised Reed--Solomon codes based on Alekhnovich's module minimisation is proposed. The method is parametrisable and allows variants of the usual list decoding approach. In particular, finding the list of \emph{closest} codewords ...
2210.13635
Hannes Westermann
Hannes Westermann, Jaromir Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Toward an Intelligent Tutoring System for Argument Mining in Legal Texts
Accepted for presentation at the 35th International Conference on Legal Knowledge and Information Systems (JURIX 2022) and publication in the Frontiers of Artificial Intelligence and Applications series of IOS Press
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an adaptive environment (CABINET) to support caselaw analysis (identifying key argument elements) based on a novel cognitive computing framework that carefully matches various machine learning (ML) capabilities to the proficiency of a user. CABINET supports law students in their learning as well as profess...
[ { "created": "Mon, 24 Oct 2022 22:31:02 GMT", "version": "v1" } ]
2022-10-26
[ [ "Westermann", "Hannes", "" ], [ "Savelka", "Jaromir", "" ], [ "Walker", "Vern R.", "" ], [ "Ashley", "Kevin D.", "" ], [ "Benyekhlef", "Karim", "" ] ]
We propose an adaptive environment (CABINET) to support caselaw analysis (identifying key argument elements) based on a novel cognitive computing framework that carefully matches various machine learning (ML) capabilities to the proficiency of a user. CABINET supports law students in their learning as well as professio...
2407.11975
Kevin Baron
Kevin William Baron
Comparing Visual Metaphors with Textual Code For Learning Basic Computer Science Concepts in Virtual Reality
41 pages, 9 figures
null
null
null
cs.HC cs.MM
http://creativecommons.org/licenses/by/4.0/
This paper represents a pilot study examining learners who are new to computer science (CS). Subjects are taught to program in one of two virtual reality (VR) applications developed by the researcher that use interactable objects representing programming concepts. The different versions are the basis for two experime...
[ { "created": "Sat, 25 May 2024 07:46:43 GMT", "version": "v1" } ]
2024-07-18
[ [ "Baron", "Kevin William", "" ] ]
This paper represents a pilot study examining learners who are new to computer science (CS). Subjects are taught to program in one of two virtual reality (VR) applications developed by the researcher that use interactable objects representing programming concepts. The different versions are the basis for two experiment...
2310.06794
Siddhant Agarwal
Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang
$f$-Policy Gradients: A General Framework for Goal Conditioned RL using $f$-Divergences
Accepted at NeurIPS 2023
null
null
null
cs.LG cs.AI cs.RO
http://creativecommons.org/licenses/by/4.0/
Goal-Conditioned Reinforcement Learning (RL) problems often have access to sparse rewards where the agent receives a reward signal only when it has achieved the goal, making policy optimization a difficult problem. Several works augment this sparse reward with a learned dense reward function, but this can lead to sub...
[ { "created": "Tue, 10 Oct 2023 17:07:05 GMT", "version": "v1" } ]
2023-10-11
[ [ "Agarwal", "Siddhant", "" ], [ "Durugkar", "Ishan", "" ], [ "Stone", "Peter", "" ], [ "Zhang", "Amy", "" ] ]
Goal-Conditioned Reinforcement Learning (RL) problems often have access to sparse rewards where the agent receives a reward signal only when it has achieved the goal, making policy optimization a difficult problem. Several works augment this sparse reward with a learned dense reward function, but this can lead to sub-o...
1802.10567
Jost Tobias Springenberg
Martin Riedmiller, Roland Hafner, Thomas Lampe, Michael Neunert, Jonas Degrave, Tom Van de Wiele, Volodymyr Mnih, Nicolas Heess, Jost Tobias Springenberg
Learning by Playing - Solving Sparse Reward Tasks from Scratch
A video of the rich set of learned behaviours can be found at https://youtu.be/mPKyvocNe_M
null
null
null
cs.LG cs.RO stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose Scheduled Auxiliary Control (SAC-X), a new learning paradigm in the context of Reinforcement Learning (RL). SAC-X enables learning of complex behaviors - from scratch - in the presence of multiple sparse reward signals. To this end, the agent is equipped with a set of general auxiliary tasks, that it attem...
[ { "created": "Wed, 28 Feb 2018 18:15:49 GMT", "version": "v1" } ]
2018-03-01
[ [ "Riedmiller", "Martin", "" ], [ "Hafner", "Roland", "" ], [ "Lampe", "Thomas", "" ], [ "Neunert", "Michael", "" ], [ "Degrave", "Jonas", "" ], [ "Van de Wiele", "Tom", "" ], [ "Mnih", "Volodymyr", "" ], ...
We propose Scheduled Auxiliary Control (SAC-X), a new learning paradigm in the context of Reinforcement Learning (RL). SAC-X enables learning of complex behaviors - from scratch - in the presence of multiple sparse reward signals. To this end, the agent is equipped with a set of general auxiliary tasks, that it attempt...
2009.10272
Shivam Handa
Shivam Handa, Martin Rinard
Inductive Program Synthesis Over Noisy Data
null
null
10.1145/3368089.3409732
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a new framework and associated synthesis algorithms for program synthesis over noisy data, i.e., data that may contain incorrect/corrupted input-output examples. This framework is based on an extension of finite tree automata called {\em weighted finite tree automata}. We show how to apply this framework t...
[ { "created": "Tue, 22 Sep 2020 01:57:48 GMT", "version": "v1" }, { "created": "Sun, 18 Oct 2020 20:23:13 GMT", "version": "v2" } ]
2021-03-15
[ [ "Handa", "Shivam", "" ], [ "Rinard", "Martin", "" ] ]
We present a new framework and associated synthesis algorithms for program synthesis over noisy data, i.e., data that may contain incorrect/corrupted input-output examples. This framework is based on an extension of finite tree automata called {\em weighted finite tree automata}. We show how to apply this framework to ...
2402.03173
Zichen Zhu
Zichen Zhu, Yang Xu, Lu Chen, Jingkai Yang, Yichuan Ma, Yiming Sun, Hailin Wen, Jiaqi Liu, Jinyu Cai, Yingzi Ma, Situo Zhang, Zihan Zhao, Liangtai Sun, Kai Yu
MULTI: Multimodal Understanding Leaderboard with Text and Images
16 pages, 9 figures, 10 tables. Details and access are available at: https://OpenDFM.github.io/MULTI-Benchmark/
null
null
null
cs.CL cs.AI cs.CV
http://creativecommons.org/licenses/by/4.0/
Rapid progress in multimodal large language models (MLLMs) highlights the need to introduce challenging yet realistic benchmarks to the academic community, while existing benchmarks primarily focus on understanding simple natural images and short context. In this paper, we present MULTI as a cutting-edge benchmark fo...
[ { "created": "Mon, 5 Feb 2024 16:41:02 GMT", "version": "v1" }, { "created": "Tue, 20 Feb 2024 07:55:52 GMT", "version": "v2" } ]
2024-02-21
[ [ "Zhu", "Zichen", "" ], [ "Xu", "Yang", "" ], [ "Chen", "Lu", "" ], [ "Yang", "Jingkai", "" ], [ "Ma", "Yichuan", "" ], [ "Sun", "Yiming", "" ], [ "Wen", "Hailin", "" ], [ "Liu", "Jiaqi", "" ...
Rapid progress in multimodal large language models (MLLMs) highlights the need to introduce challenging yet realistic benchmarks to the academic community, while existing benchmarks primarily focus on understanding simple natural images and short context. In this paper, we present MULTI as a cutting-edge benchmark for ...
2403.17090
Vida Dujmovic
Vida Dujmovic and Pat Morin
Free Sets in Planar Graphs: History and Applications
31 pages
null
null
null
cs.CG cs.DM math.CO
http://creativecommons.org/licenses/by/4.0/
A subset $S$ of vertices in a planar graph $G$ is a free set if, for every set $P$ of $|S|$ points in the plane, there exists a straight-line crossing-free drawing of $G$ in which vertices of $S$ are mapped to distinct points in $P$. In this survey, we review - several equivalent definitions of free sets, - results...
[ { "created": "Mon, 25 Mar 2024 18:25:15 GMT", "version": "v1" } ]
2024-03-27
[ [ "Dujmovic", "Vida", "" ], [ "Morin", "Pat", "" ] ]
A subset $S$ of vertices in a planar graph $G$ is a free set if, for every set $P$ of $|S|$ points in the plane, there exists a straight-line crossing-free drawing of $G$ in which vertices of $S$ are mapped to distinct points in $P$. In this survey, we review - several equivalent definitions of free sets, - results on ...
2205.05793
Hjalmar Wijk
Hjalmar Wijk, Benjie Wang, Marta Kwiatkowska
Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits
11 pages (8+3 Appendix). To be published in IJCAI 2022
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
In many domains, worst-case guarantees on the performance (e.g., prediction accuracy) of a decision function subject to distributional shifts and uncertainty about the environment are crucial. In this work we develop a method to quantify the robustness of decision functions with respect to credal Bayesian networks, f...
[ { "created": "Wed, 11 May 2022 22:37:07 GMT", "version": "v1" } ]
2022-05-13
[ [ "Wijk", "Hjalmar", "" ], [ "Wang", "Benjie", "" ], [ "Kwiatkowska", "Marta", "" ] ]
In many domains, worst-case guarantees on the performance (e.g., prediction accuracy) of a decision function subject to distributional shifts and uncertainty about the environment are crucial. In this work we develop a method to quantify the robustness of decision functions with respect to credal Bayesian networks, for...
2311.03742
Xinhao Xiang
Xinhao Xiang, Simon Dr\"ager, Jiawei Zhang
3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Good 3D object detection performance from LiDAR-Camera sensors demands seamless feature alignment and fusion strategies. We propose the 3DifFusionDet framework in this paper, which structures 3D object detection as a denoising diffusion process from noisy 3D boxes to target boxes. In this framework, ground truth boxe...
[ { "created": "Tue, 7 Nov 2023 05:53:09 GMT", "version": "v1" } ]
2023-11-08
[ [ "Xiang", "Xinhao", "" ], [ "Dräger", "Simon", "" ], [ "Zhang", "Jiawei", "" ] ]
Good 3D object detection performance from LiDAR-Camera sensors demands seamless feature alignment and fusion strategies. We propose the 3DifFusionDet framework in this paper, which structures 3D object detection as a denoising diffusion process from noisy 3D boxes to target boxes. In this framework, ground truth boxes ...
1008.3443
Jose Ignacio Alvarez-Hamelin
Jos\'e Ignacio Alvarez-Hamelin (FIUBA, INTECIN), Beir\'o Mariano Gast\'on (FIUBA), Jorge Rodolfo Busch (FIUBA)
On weakly optimal partitions in modular networks
null
null
null
null
cs.SI cond-mat.stat-mech physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modularity was introduced as a measure of goodness for the community structure induced by a partition of the set of vertices in a graph. Then, it also became an objective function used to find good partitions, with high success. Nevertheless, some works have shown a scaling limit and certain instabilities when findin...
[ { "created": "Fri, 20 Aug 2010 06:49:04 GMT", "version": "v1" } ]
2010-08-25
[ [ "Alvarez-Hamelin", "José Ignacio", "", "FIUBA, INTECIN" ], [ "Gastón", "Beiró Mariano", "", "FIUBA" ], [ "Busch", "Jorge Rodolfo", "", "FIUBA" ] ]
Modularity was introduced as a measure of goodness for the community structure induced by a partition of the set of vertices in a graph. Then, it also became an objective function used to find good partitions, with high success. Nevertheless, some works have shown a scaling limit and certain instabilities when finding ...
2208.11235
Colin Gordon
Sergey Matskevich, Colin S. Gordon
Preprocessing Source Code Comments for Linguistic Models
Correcting author name
null
null
null
cs.SE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Comments are an important part of the source code and are a primary source of documentation. This has driven interest in using large bodies of comments to train or evaluate tools that consume or produce them -- such as generating oracles or even code from comments, or automatically generating code summaries. Most of ...
[ { "created": "Tue, 23 Aug 2022 23:44:09 GMT", "version": "v1" }, { "created": "Fri, 26 Aug 2022 23:46:49 GMT", "version": "v2" } ]
2022-08-30
[ [ "Matskevich", "Sergey", "" ], [ "Gordon", "Colin S.", "" ] ]
Comments are an important part of the source code and are a primary source of documentation. This has driven interest in using large bodies of comments to train or evaluate tools that consume or produce them -- such as generating oracles or even code from comments, or automatically generating code summaries. Most of th...
2404.16051
Jan Martijn van der Werf
Max Lonysa Muller, Erik Saaman, Jan Martijn E. M. van der Werf, Charles Jeurgens and Hajo A. Reijers
TimeFlows: Visualizing Process Chronologies from Vast Collections of Heterogeneous Information Objects
16 pages, accepted at RCIS 2024
null
null
null
cs.HC cs.CY
http://creativecommons.org/licenses/by-nc-nd/4.0/
In many fact-finding investigations, notably parliamentary inquiries, process chronologies are created to reconstruct how a controversial policy or decision came into existence. Current approaches, like timelines, lack the expressiveness to represent the variety of relations in which historic events may link to the o...
[ { "created": "Wed, 10 Apr 2024 11:08:26 GMT", "version": "v1" }, { "created": "Thu, 2 May 2024 19:11:49 GMT", "version": "v2" } ]
2024-05-06
[ [ "Muller", "Max Lonysa", "" ], [ "Saaman", "Erik", "" ], [ "van der Werf", "Jan Martijn E. M.", "" ], [ "Jeurgens", "Charles", "" ], [ "Reijers", "Hajo A.", "" ] ]
In many fact-finding investigations, notably parliamentary inquiries, process chronologies are created to reconstruct how a controversial policy or decision came into existence. Current approaches, like timelines, lack the expressiveness to represent the variety of relations in which historic events may link to the ove...
1711.05354
William Leeb
William Leeb and Vladimir Rokhlin
On the Numerical Solution of Fourth-Order Linear Two-Point Boundary Value Problems
null
null
null
null
cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a fast and numerically stable algorithm for the solution of fourth-order linear boundary value problems on an interval. This type of equation arises in a variety of settings in physics and signal processing. Our method reformulates the equation as a collection of second-kind integral equations d...
[ { "created": "Tue, 14 Nov 2017 23:15:28 GMT", "version": "v1" }, { "created": "Wed, 28 Feb 2018 02:03:29 GMT", "version": "v2" }, { "created": "Thu, 9 Jan 2020 20:12:46 GMT", "version": "v3" } ]
2020-01-13
[ [ "Leeb", "William", "" ], [ "Rokhlin", "Vladimir", "" ] ]
This paper introduces a fast and numerically stable algorithm for the solution of fourth-order linear boundary value problems on an interval. This type of equation arises in a variety of settings in physics and signal processing. Our method reformulates the equation as a collection of second-kind integral equations def...
1902.10460
Jiasong Wu
Jinpeng Xia, Jiasong Wu, Youyong Kong, Pinzheng Zhang, Lotfi Senhadji, Huazhong Shu
Modulated binary cliquenet
5 pages, 3 figures, 2 tables
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although Convolutional Neural Networks (CNNs) achieve effectiveness in various computer vision tasks, the significant requirement of storage of such networks hinders the deployment on computationally limited devices. In this paper, we propose a new compact and portable deep learning network named Modulated Binary Cli...
[ { "created": "Wed, 27 Feb 2019 11:14:01 GMT", "version": "v1" } ]
2019-02-28
[ [ "Xia", "Jinpeng", "" ], [ "Wu", "Jiasong", "" ], [ "Kong", "Youyong", "" ], [ "Zhang", "Pinzheng", "" ], [ "Senhadji", "Lotfi", "" ], [ "Shu", "Huazhong", "" ] ]
Although Convolutional Neural Networks (CNNs) achieve effectiveness in various computer vision tasks, the significant requirement of storage of such networks hinders the deployment on computationally limited devices. In this paper, we propose a new compact and portable deep learning network named Modulated Binary Cliqu...
2312.16652
Omar Al-Bataineh
Omar I. Al-Bataineh
Invariant-based Program Repair
Accepted for publication in the 27th International Conference on Fundamental Approaches to Software Engineering (FASE 2024)
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
This paper describes a formal general-purpose automated program repair (APR) framework based on the concept of program invariants. In the presented repair framework, the execution traces of a defected program are dynamically analyzed to infer specifications $\varphi_{correct}$ and $\varphi_{violated}$, where $\varphi...
[ { "created": "Wed, 27 Dec 2023 17:46:19 GMT", "version": "v1" }, { "created": "Fri, 26 Jan 2024 20:20:20 GMT", "version": "v2" } ]
2024-01-30
[ [ "Al-Bataineh", "Omar I.", "" ] ]
This paper describes a formal general-purpose automated program repair (APR) framework based on the concept of program invariants. In the presented repair framework, the execution traces of a defected program are dynamically analyzed to infer specifications $\varphi_{correct}$ and $\varphi_{violated}$, where $\varphi_{...
1106.5988
Lazaros Gkatzikis
Lazaros Gkatzikis, Georgios S. Paschos and Iordanis Koutsopoulos
The impact of energy constraints on the medium access
8 pages, 3 figures
null
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Contemporary mobile devices are battery powered and due to their shrinking size and increasing complexity operate on a tight energy budget. Thus, energy consumption is becoming one of the major concerns regarding the current and upcoming wireless communication systems. On the other hand, the available bandwidth resou...
[ { "created": "Sun, 5 Jun 2011 21:52:15 GMT", "version": "v1" } ]
2015-03-19
[ [ "Gkatzikis", "Lazaros", "" ], [ "Paschos", "Georgios S.", "" ], [ "Koutsopoulos", "Iordanis", "" ] ]
Contemporary mobile devices are battery powered and due to their shrinking size and increasing complexity operate on a tight energy budget. Thus, energy consumption is becoming one of the major concerns regarding the current and upcoming wireless communication systems. On the other hand, the available bandwidth resourc...
2012.14873
Sebastian Johann Wetzel
Sebastian J. Wetzel, Kevin Ryczko, Roger G. Melko, Isaac Tamblyn
Twin Neural Network Regression
null
null
10.1002/ail2.78
null
cs.LG stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
We introduce twin neural network (TNN) regression. This method predicts differences between the target values of two different data points rather than the targets themselves. The solution of a traditional regression problem is then obtained by averaging over an ensemble of all predicted differences between the target...
[ { "created": "Tue, 29 Dec 2020 17:52:31 GMT", "version": "v1" } ]
2022-12-14
[ [ "Wetzel", "Sebastian J.", "" ], [ "Ryczko", "Kevin", "" ], [ "Melko", "Roger G.", "" ], [ "Tamblyn", "Isaac", "" ] ]
We introduce twin neural network (TNN) regression. This method predicts differences between the target values of two different data points rather than the targets themselves. The solution of a traditional regression problem is then obtained by averaging over an ensemble of all predicted differences between the targets ...
2006.09319
Mamikon Gulian
Laura Swiler, Mamikon Gulian, Ari Frankel, Cosmin Safta, John Jakeman
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges
42 pages, 3 figures. Version 3: DOI & Reference added; appeared in Journal of Machine Learning for Modeling and Computing. Version 2 includes minor additions, clarifications and improvements to notation
Journal of Machine Learning for Modeling and Computing, 1(2):119-156 (2020)
10.1615/JMachLearnModelComput.2020035155
null
cs.LG math.ST stat.ML stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Gaussian process regression is a popular Bayesian framework for surrogate modeling of expensive data sources. As part of a broader effort in scientific machine learning, many recent works have incorporated physical constraints or other a priori information within Gaussian process regression to supplement limited data...
[ { "created": "Tue, 16 Jun 2020 17:03:36 GMT", "version": "v1" }, { "created": "Wed, 23 Dec 2020 18:55:38 GMT", "version": "v2" }, { "created": "Wed, 6 Jan 2021 17:45:06 GMT", "version": "v3" } ]
2021-01-07
[ [ "Swiler", "Laura", "" ], [ "Gulian", "Mamikon", "" ], [ "Frankel", "Ari", "" ], [ "Safta", "Cosmin", "" ], [ "Jakeman", "John", "" ] ]
Gaussian process regression is a popular Bayesian framework for surrogate modeling of expensive data sources. As part of a broader effort in scientific machine learning, many recent works have incorporated physical constraints or other a priori information within Gaussian process regression to supplement limited data a...
2312.05459
Venkata Raghava Kurada
Venkata Raghava Kurada, Pallava Kumar Baruah
FLoW3 -- Web3 Empowered Federated Learning
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Federated Learning is susceptible to various kinds of attacks like Data Poisoning, Model Poisoning and Man in the Middle attack. We perceive Federated Learning as a hierarchical structure, a federation of nodes with validators as the head. The process of validation is done through consensus by employing Novelty Detec...
[ { "created": "Sat, 9 Dec 2023 04:05:07 GMT", "version": "v1" } ]
2023-12-12
[ [ "Kurada", "Venkata Raghava", "" ], [ "Baruah", "Pallava Kumar", "" ] ]
Federated Learning is susceptible to various kinds of attacks like Data Poisoning, Model Poisoning and Man in the Middle attack. We perceive Federated Learning as a hierarchical structure, a federation of nodes with validators as the head. The process of validation is done through consensus by employing Novelty Detecti...
1911.05204
Hsiao-Yu Chen
Hsiao-yu Chen, Paul Kry, Etienne Vouga
Locking-free Simulation of Isometric Thin Plates
null
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To efficiently simulate very thin, inextensible materials like cloth or paper, it is tempting to replace force-based thin-plate dynamics with hard isometry constraints. Unfortunately, naive formulations of the constraints induce membrane locking---artificial stiffening of bending modes due to the inability of discret...
[ { "created": "Tue, 12 Nov 2019 23:35:59 GMT", "version": "v1" } ]
2019-11-14
[ [ "Chen", "Hsiao-yu", "" ], [ "Kry", "Paul", "" ], [ "Vouga", "Etienne", "" ] ]
To efficiently simulate very thin, inextensible materials like cloth or paper, it is tempting to replace force-based thin-plate dynamics with hard isometry constraints. Unfortunately, naive formulations of the constraints induce membrane locking---artificial stiffening of bending modes due to the inability of discrete ...
2404.06762
Zhengyuan Liu
Zhengyuan Liu, Stella Xin Yin, Geyu Lin, Nancy F. Chen
Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems
null
null
null
null
cs.CL cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Intelligent Tutoring Systems (ITSs) can provide personalized and self-paced learning experience. The emergence of large language models (LLMs) further enables better human-machine interaction, and facilitates the development of conversational ITSs in various disciplines such as math and language learning. In dialogic...
[ { "created": "Wed, 10 Apr 2024 06:03:13 GMT", "version": "v1" } ]
2024-04-11
[ [ "Liu", "Zhengyuan", "" ], [ "Yin", "Stella Xin", "" ], [ "Lin", "Geyu", "" ], [ "Chen", "Nancy F.", "" ] ]
Intelligent Tutoring Systems (ITSs) can provide personalized and self-paced learning experience. The emergence of large language models (LLMs) further enables better human-machine interaction, and facilitates the development of conversational ITSs in various disciplines such as math and language learning. In dialogic t...
2202.03918
Michael Langberg
Michael Langberg and Michelle Effros
Network Coding Multicast Key-Capacity
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For a multi-source multi-terminal noiseless network, the key-dissemination problem involves the task of multicasting a secret key K from the network sources to its terminals. As in secure multicast network-coding, in the key-dissemination problem the source nodes have access to independent randomness and, as the netw...
[ { "created": "Tue, 8 Feb 2022 15:11:01 GMT", "version": "v1" }, { "created": "Thu, 19 May 2022 15:39:40 GMT", "version": "v2" } ]
2022-05-20
[ [ "Langberg", "Michael", "" ], [ "Effros", "Michelle", "" ] ]
For a multi-source multi-terminal noiseless network, the key-dissemination problem involves the task of multicasting a secret key K from the network sources to its terminals. As in secure multicast network-coding, in the key-dissemination problem the source nodes have access to independent randomness and, as the networ...
1904.03522
Roee Levy Leshem
Roee Levy Leshem, Raja Giryes
Taco-VC: A Single Speaker Tacotron based Voice Conversion with Limited Data
Accepted to EUSIPCO 2020
null
null
null
cs.SD cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces Taco-VC, a novel architecture for voice conversion based on Tacotron synthesizer, which is a sequence-to-sequence with attention model. The training of multi-speaker voice conversion systems requires a large number of resources, both in training and corpus size. Taco-VC is implemented using a si...
[ { "created": "Sat, 6 Apr 2019 20:19:07 GMT", "version": "v1" }, { "created": "Tue, 16 Apr 2019 09:39:02 GMT", "version": "v2" }, { "created": "Sat, 26 Oct 2019 08:53:29 GMT", "version": "v3" }, { "created": "Fri, 19 Jun 2020 07:18:11 GMT", "version": "v4" } ]
2020-06-22
[ [ "Leshem", "Roee Levy", "" ], [ "Giryes", "Raja", "" ] ]
This paper introduces Taco-VC, a novel architecture for voice conversion based on Tacotron synthesizer, which is a sequence-to-sequence with attention model. The training of multi-speaker voice conversion systems requires a large number of resources, both in training and corpus size. Taco-VC is implemented using a sing...
2103.15209
Da Xu
Da Xu, Yuting Ye, Chuanwei Ruan
Understanding the role of importance weighting for deep learning
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recent paper by Byrd & Lipton (2019), based on empirical observations, raises a major concern on the impact of importance weighting for the over-parameterized deep learning models. They observe that as long as the model can separate the training data, the impact of importance weighting diminishes as the training ...
[ { "created": "Sun, 28 Mar 2021 19:44:47 GMT", "version": "v1" } ]
2021-03-30
[ [ "Xu", "Da", "" ], [ "Ye", "Yuting", "" ], [ "Ruan", "Chuanwei", "" ] ]
The recent paper by Byrd & Lipton (2019), based on empirical observations, raises a major concern on the impact of importance weighting for the over-parameterized deep learning models. They observe that as long as the model can separate the training data, the impact of importance weighting diminishes as the training pr...
2109.07321
Roee Shraga PhD
Roee Shraga, Avigdor Gal
PoWareMatch: a Quality-aware Deep Learning Approach to Improve Human Schema Matching
Technical report of the paper {\sf PoWareMatch}: a Quality-aware Deep Learning Approach to Improve Human Schema Matching, accepted to ACM Journal of Data and Information Quality (JDIQ), Special Issue on Deep Learning for Data Quality
null
null
null
cs.DB cs.HC cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Schema matching is a core task of any data integration process. Being investigated in the fields of databases, AI, Semantic Web and data mining for many years, the main challenge remains the ability to generate quality matches among data concepts (e.g., database attributes). In this work, we examine a novel angle on ...
[ { "created": "Wed, 15 Sep 2021 14:24:56 GMT", "version": "v1" } ]
2021-09-16
[ [ "Shraga", "Roee", "" ], [ "Gal", "Avigdor", "" ] ]
Schema matching is a core task of any data integration process. Being investigated in the fields of databases, AI, Semantic Web and data mining for many years, the main challenge remains the ability to generate quality matches among data concepts (e.g., database attributes). In this work, we examine a novel angle on th...
1510.04585
Kezhi Li
Kezhi Li
A Brief Survey of Image Processing Algorithms in Electrical Capacitance Tomography
Internal Report, MRRC, University of Cambridge
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To study the fundamental physics of complex multiphase flow systems using advanced measurement techniques, especially the electrical capacitance tomography (ECT) approach, this article carries out an initial literature review of the ECT method from a point of view of signal processing and algorithm design. After intr...
[ { "created": "Thu, 15 Oct 2015 15:36:03 GMT", "version": "v1" } ]
2015-10-16
[ [ "Li", "Kezhi", "" ] ]
To study the fundamental physics of complex multiphase flow systems using advanced measurement techniques, especially the electrical capacitance tomography (ECT) approach, this article carries out an initial literature review of the ECT method from a point of view of signal processing and algorithm design. After introd...
2204.13792
Recep Yusuf Bekci
Recep Yusuf Bekci, Yacine Mahdid, Jinling Xing, Nikita Letov, Ying Zhang, Zahid Pasha
Probabilistic Models for Manufacturing Lead Times
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
In this study, we utilize Gaussian processes, probabilistic neural network, natural gradient boosting, and quantile regression augmented gradient boosting to model lead times of laser manufacturing processes. We introduce probabilistic modelling in the domain and compare the models in terms of different abilities. Wh...
[ { "created": "Thu, 28 Apr 2022 21:51:52 GMT", "version": "v1" }, { "created": "Tue, 28 Jun 2022 18:41:28 GMT", "version": "v2" } ]
2022-06-30
[ [ "Bekci", "Recep Yusuf", "" ], [ "Mahdid", "Yacine", "" ], [ "Xing", "Jinling", "" ], [ "Letov", "Nikita", "" ], [ "Zhang", "Ying", "" ], [ "Pasha", "Zahid", "" ] ]
In this study, we utilize Gaussian processes, probabilistic neural network, natural gradient boosting, and quantile regression augmented gradient boosting to model lead times of laser manufacturing processes. We introduce probabilistic modelling in the domain and compare the models in terms of different abilities. Whil...
2402.04722
Kit Gallagher
Kit Gallagher, Richard Creswell, Ben Lambert, Martin Robinson, Chon Lok Lei, Gary R. Mirams, David J. Gavaghan
Ten simple rules for teaching sustainable software engineering
Prepared for submission to PLOS Computational Biology's 10 Simple Rules collection
null
null
null
cs.CY cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computational methods and associated software implementations are central to every field of scientific investigation. Modern biological research, particularly within systems biology, has relied heavily on the development of software tools to process and organize increasingly large datasets, simulate complex mechanist...
[ { "created": "Wed, 7 Feb 2024 10:16:20 GMT", "version": "v1" } ]
2024-02-08
[ [ "Gallagher", "Kit", "" ], [ "Creswell", "Richard", "" ], [ "Lambert", "Ben", "" ], [ "Robinson", "Martin", "" ], [ "Lei", "Chon Lok", "" ], [ "Mirams", "Gary R.", "" ], [ "Gavaghan", "David J.", "" ] ]
Computational methods and associated software implementations are central to every field of scientific investigation. Modern biological research, particularly within systems biology, has relied heavily on the development of software tools to process and organize increasingly large datasets, simulate complex mechanistic...
1808.10292
Alexandros Gerbessiotis
Alexandros V. Gerbessiotis
A study of integer sorting on multicores
arXiv admin note: substantial text overlap with arXiv:1708.09495, arXiv:1608.08648
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Integer sorting on multicores and GPUs can be realized by a variety of approaches that include variants of distribution-based methods such as radix-sort, comparison-oriented algorithms such as deterministic regular sampling and random sampling parallel sorting, and network-based algorithms such as Batcher's bitonic s...
[ { "created": "Wed, 29 Aug 2018 14:28:35 GMT", "version": "v1" } ]
2018-08-31
[ [ "Gerbessiotis", "Alexandros V.", "" ] ]
Integer sorting on multicores and GPUs can be realized by a variety of approaches that include variants of distribution-based methods such as radix-sort, comparison-oriented algorithms such as deterministic regular sampling and random sampling parallel sorting, and network-based algorithms such as Batcher's bitonic sor...
2308.03151
Zheng Ma
Zheng Ma, Mianzhi Pan, Wenhan Wu, Kanzhi Cheng, Jianbing Zhang, Shujian Huang and Jiajun Chen
Food-500 Cap: A Fine-Grained Food Caption Benchmark for Evaluating Vision-Language Models
Accepted at ACM Multimedia (ACMMM) 2023
null
null
null
cs.CV cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vision-language models (VLMs) have shown impressive performance in substantial downstream multi-modal tasks. However, only comparing the fine-tuned performance on downstream tasks leads to the poor interpretability of VLMs, which is adverse to their future improvement. Several prior works have identified this issue a...
[ { "created": "Sun, 6 Aug 2023 15:56:31 GMT", "version": "v1" } ]
2023-08-08
[ [ "Ma", "Zheng", "" ], [ "Pan", "Mianzhi", "" ], [ "Wu", "Wenhan", "" ], [ "Cheng", "Kanzhi", "" ], [ "Zhang", "Jianbing", "" ], [ "Huang", "Shujian", "" ], [ "Chen", "Jiajun", "" ] ]
Vision-language models (VLMs) have shown impressive performance in substantial downstream multi-modal tasks. However, only comparing the fine-tuned performance on downstream tasks leads to the poor interpretability of VLMs, which is adverse to their future improvement. Several prior works have identified this issue and...
2402.08986
Wenwei Zhao
Wenwei Zhao, Xiaowen Li, Shangqing Zhao, Jie Xu, Yao Liu, Zhuo Lu
Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics
10 pages, 11 figures
null
null
null
cs.CR cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Machine learning has been adopted for efficient cooperative spectrum sensing. However, it incurs an additional security risk due to attacks leveraging adversarial machine learning to create malicious spectrum sensing values to deceive the fusion center, called adversarial spectrum attacks. In this paper, we propose a...
[ { "created": "Wed, 14 Feb 2024 06:57:21 GMT", "version": "v1" } ]
2024-02-15
[ [ "Zhao", "Wenwei", "" ], [ "Li", "Xiaowen", "" ], [ "Zhao", "Shangqing", "" ], [ "Xu", "Jie", "" ], [ "Liu", "Yao", "" ], [ "Lu", "Zhuo", "" ] ]
Machine learning has been adopted for efficient cooperative spectrum sensing. However, it incurs an additional security risk due to attacks leveraging adversarial machine learning to create malicious spectrum sensing values to deceive the fusion center, called adversarial spectrum attacks. In this paper, we propose an ...
1807.01053
Sergey Goncharov
Sergey Goncharov, Julian Jakob, Renato Neves
A Semantics for Hybrid Iteration
Corrected version of a CONCUR'18 paper; more proof details
null
10.4230/LIPIcs.CONCUR.2018.22
null
cs.PL cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recently introduced notions of guarded traced (monoidal) category and guarded (pre-)iterative monad aim at unifying different instances of partial iteration whilst keeping in touch with the established theory of total iteration and preserving its merits. In this paper we use these notions and the corresponding st...
[ { "created": "Tue, 3 Jul 2018 09:47:52 GMT", "version": "v1" }, { "created": "Tue, 5 Feb 2019 15:59:02 GMT", "version": "v2" } ]
2019-02-07
[ [ "Goncharov", "Sergey", "" ], [ "Jakob", "Julian", "" ], [ "Neves", "Renato", "" ] ]
The recently introduced notions of guarded traced (monoidal) category and guarded (pre-)iterative monad aim at unifying different instances of partial iteration whilst keeping in touch with the established theory of total iteration and preserving its merits. In this paper we use these notions and the corresponding stoc...
1807.03099
Ayse Ipek Akin Atalay
Ayse Ipek Akin, Nafiseh Janatian, Ivan Stupia, and Luc Vandendorpe
SWIPT-based Real-Time Mobile Computing Systems: A Stochastic Geometry Perspective
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Driven by the Internet of Things vision, recent years have seen the rise of new horizons for the wireless ecosystem in which a very large number of mobile low power devices interact to run sophisticated applications. The main hindrance to the massive deployment of low power nodes is most probably the prohibitive main...
[ { "created": "Mon, 9 Jul 2018 13:17:33 GMT", "version": "v1" } ]
2018-07-10
[ [ "Akin", "Ayse Ipek", "" ], [ "Janatian", "Nafiseh", "" ], [ "Stupia", "Ivan", "" ], [ "Vandendorpe", "Luc", "" ] ]
Driven by the Internet of Things vision, recent years have seen the rise of new horizons for the wireless ecosystem in which a very large number of mobile low power devices interact to run sophisticated applications. The main hindrance to the massive deployment of low power nodes is most probably the prohibitive mainte...
2003.04865
Yutaro Shigeto
Yutaro Shigeto, Yuya Yoshikawa, Jiaqing Lin, Akikazu Takeuchi
Video Caption Dataset for Describing Human Actions in Japanese
Accepted for LREC 2020. Dataset available at https://actions.stair.center/captions.html
null
null
null
cs.CL cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, automatic video caption generation has attracted considerable attention. This paper focuses on the generation of Japanese captions for describing human actions. While most currently available video caption datasets have been constructed for English, there is no equivalent Japanese dataset. To address...
[ { "created": "Tue, 10 Mar 2020 17:15:48 GMT", "version": "v1" } ]
2020-03-11
[ [ "Shigeto", "Yutaro", "" ], [ "Yoshikawa", "Yuya", "" ], [ "Lin", "Jiaqing", "" ], [ "Takeuchi", "Akikazu", "" ] ]
In recent years, automatic video caption generation has attracted considerable attention. This paper focuses on the generation of Japanese captions for describing human actions. While most currently available video caption datasets have been constructed for English, there is no equivalent Japanese dataset. To address t...
2112.03154
Haoran Xu
Haoran Xu, Sixing Lu, Zhongkai Sun, Chengyuan Ma, Chenlei Guo
VAE based Text Style Transfer with Pivot Words Enhancement Learning
Accepted at The eighteenth International Conference on Natural Language Processing
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Text Style Transfer (TST) aims to alter the underlying style of the source text to another specific style while keeping the same content. Due to the scarcity of high-quality parallel training data, unsupervised learning has become a trending direction for TST tasks. In this paper, we propose a novel VAE based Text St...
[ { "created": "Mon, 6 Dec 2021 16:41:26 GMT", "version": "v1" } ]
2021-12-07
[ [ "Xu", "Haoran", "" ], [ "Lu", "Sixing", "" ], [ "Sun", "Zhongkai", "" ], [ "Ma", "Chengyuan", "" ], [ "Guo", "Chenlei", "" ] ]
Text Style Transfer (TST) aims to alter the underlying style of the source text to another specific style while keeping the same content. Due to the scarcity of high-quality parallel training data, unsupervised learning has become a trending direction for TST tasks. In this paper, we propose a novel VAE based Text Styl...
2308.09592
Wenhao Chai
Wenhao Chai, Xun Guo, Gaoang Wang, Yan Lu
StableVideo: Text-driven Consistency-aware Diffusion Video Editing
ICCV 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diffusion-based methods can generate realistic images and videos, but they struggle to edit existing objects in a video while preserving their appearance over time. This prevents diffusion models from being applied to natural video editing in practical scenarios. In this paper, we tackle this problem by introducing t...
[ { "created": "Fri, 18 Aug 2023 14:39:16 GMT", "version": "v1" } ]
2023-08-21
[ [ "Chai", "Wenhao", "" ], [ "Guo", "Xun", "" ], [ "Wang", "Gaoang", "" ], [ "Lu", "Yan", "" ] ]
Diffusion-based methods can generate realistic images and videos, but they struggle to edit existing objects in a video while preserving their appearance over time. This prevents diffusion models from being applied to natural video editing in practical scenarios. In this paper, we tackle this problem by introducing tem...
1401.0870
Laurence Aroquiaraj
I. Laurence Aroquiaraj and K. Thangavel
Pectoral Muscles Suppression in Digital Mammograms using Hybridization of Soft Computing Methods
8 pages, 6 figures
null
null
null
cs.CV cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Breast region segmentation is an essential prerequisite in computerized analysis of mammograms. It aims at separating the breast tissue from the background of the mammogram and it includes two independent segmentations. The first segments the background region which usually contains annotations, labels and frames fro...
[ { "created": "Sun, 5 Jan 2014 08:14:43 GMT", "version": "v1" } ]
2014-01-07
[ [ "Aroquiaraj", "I. Laurence", "" ], [ "Thangavel", "K.", "" ] ]
Breast region segmentation is an essential prerequisite in computerized analysis of mammograms. It aims at separating the breast tissue from the background of the mammogram and it includes two independent segmentations. The first segments the background region which usually contains annotations, labels and frames from ...
2010.03412
Weijia Xu
Weijia Xu, Xing Niu, Marine Carpuat
Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation
Accepted at Findings of EMNLP 2020
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While Iterative Back-Translation and Dual Learning effectively incorporate monolingual training data in neural machine translation, they use different objectives and heuristic gradient approximation strategies, and have not been extensively compared. We introduce a novel dual reconstruction objective that provides a ...
[ { "created": "Wed, 7 Oct 2020 13:40:32 GMT", "version": "v1" } ]
2020-10-08
[ [ "Xu", "Weijia", "" ], [ "Niu", "Xing", "" ], [ "Carpuat", "Marine", "" ] ]
While Iterative Back-Translation and Dual Learning effectively incorporate monolingual training data in neural machine translation, they use different objectives and heuristic gradient approximation strategies, and have not been extensively compared. We introduce a novel dual reconstruction objective that provides a un...
2112.02053
Valdemar \v{S}v\'abensk\'y
Valdemar \v{S}v\'abensk\'y, Richard Weiss, Jack Cook, Jan Vykopal, Pavel \v{C}eleda, Jens Mache, Radoslav Chudovsk\'y, Ankur Chattopadhyay
Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises
ACM SIGCSE 2022 conference, 7 pages, 3 figures
null
10.1145/3478431.3499414
null
cs.CY cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cybersecurity students need to develop practical skills such as using command-line tools. Hands-on exercises are the most direct way to assess these skills, but assessing students' mastery is a challenging task for instructors. We aim to alleviate this issue by modeling and visualizing student progress automatically ...
[ { "created": "Fri, 3 Dec 2021 18:08:27 GMT", "version": "v1" } ]
2021-12-06
[ [ "Švábenský", "Valdemar", "" ], [ "Weiss", "Richard", "" ], [ "Cook", "Jack", "" ], [ "Vykopal", "Jan", "" ], [ "Čeleda", "Pavel", "" ], [ "Mache", "Jens", "" ], [ "Chudovský", "Radoslav", "" ], [ "C...
Cybersecurity students need to develop practical skills such as using command-line tools. Hands-on exercises are the most direct way to assess these skills, but assessing students' mastery is a challenging task for instructors. We aim to alleviate this issue by modeling and visualizing student progress automatically th...
2206.05968
Elahe Ghasemi
Mohammad Rashid, Elahe Ghasemi and Javad B.Ebrahimi
Entropic Weighted Rank Function
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is known that the entropy function over a set of jointly distributed random variables is a submodular set function. However, not any submodular function is of this form. In this paper, we consider a family of submodular set functions, called weighted rank functions of matroids, and study the necessary or sufficien...
[ { "created": "Mon, 13 Jun 2022 08:32:12 GMT", "version": "v1" } ]
2022-06-14
[ [ "Rashid", "Mohammad", "" ], [ "Ghasemi", "Elahe", "" ], [ "Ebrahimi", "Javad B.", "" ] ]
It is known that the entropy function over a set of jointly distributed random variables is a submodular set function. However, not any submodular function is of this form. In this paper, we consider a family of submodular set functions, called weighted rank functions of matroids, and study the necessary or sufficient ...
2003.00003
Klaus-Tycho Foerster
Utz Nisslmueller, Klaus-Tycho Foerster, Stefan Schmid, Christian Decker
Toward Active and Passive Confidentiality Attacks On Cryptocurrency Off-Chain Networks
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cryptocurrency off-chain networks such as Lightning (e.g., Bitcoin) or Raiden (e.g., Ethereum) aim to increase the scalability of traditional on-chain transactions. To support nodes in learning about possible paths to route their transactions, these networks need to provide gossip and probing mechanisms. This paper e...
[ { "created": "Fri, 28 Feb 2020 08:56:08 GMT", "version": "v1" } ]
2020-03-03
[ [ "Nisslmueller", "Utz", "" ], [ "Foerster", "Klaus-Tycho", "" ], [ "Schmid", "Stefan", "" ], [ "Decker", "Christian", "" ] ]
Cryptocurrency off-chain networks such as Lightning (e.g., Bitcoin) or Raiden (e.g., Ethereum) aim to increase the scalability of traditional on-chain transactions. To support nodes in learning about possible paths to route their transactions, these networks need to provide gossip and probing mechanisms. This paper exp...
0805.0184
Youngchul Sung
Youngchul Sung, H. Vincent Poor and Heejung Yu
Information, Energy and Density for Ad Hoc Sensor Networks over Correlated Random Fields: Large Deviations Analysis
Proceedings of the 2008 IEEE International Symposium on Information Theory, Toronto, ON, Canada, July 6 - 11, 2008
null
10.1109/ISIT.2008.4595256
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Using large deviations results that characterize the amount of information per node on a two-dimensional (2-D) lattice, asymptotic behavior of a sensor network deployed over a correlated random field for statistical inference is investigated. Under a 2-D hidden Gauss-Markov random field model with symmetric first ord...
[ { "created": "Fri, 2 May 2008 07:36:28 GMT", "version": "v1" } ]
2016-11-15
[ [ "Sung", "Youngchul", "" ], [ "Poor", "H. Vincent", "" ], [ "Yu", "Heejung", "" ] ]
Using large deviations results that characterize the amount of information per node on a two-dimensional (2-D) lattice, asymptotic behavior of a sensor network deployed over a correlated random field for statistical inference is investigated. Under a 2-D hidden Gauss-Markov random field model with symmetric first order...
1902.10898
Ahmed Hareedy
Ahmed Hareedy, Robert Calderbank
LOCO Codes: Lexicographically-Ordered Constrained Codes
17 pages (double column), 2 figures, accepted at the IEEE Transactions on Information Theory (TIT), the short version was accepted at the IEEE Information Theory Workshop (ITW), this version reflects comments from reviewers at TIT and ITW
IEEE Transactions on Information Theory, vol. 66, no. 6, pp. 3572-3589, Jun. 2020
10.1109/TIT.2019.2943244
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Line codes make it possible to mitigate interference, to prevent short pulses, and to generate streams of bipolar signals with no direct-current (DC) power content through balancing. They find application in magnetic recording (MR) devices, in Flash devices, in optical recording devices, and in some computer standard...
[ { "created": "Thu, 28 Feb 2019 05:22:33 GMT", "version": "v1" }, { "created": "Tue, 26 Mar 2019 19:44:15 GMT", "version": "v2" }, { "created": "Wed, 26 Jun 2019 21:54:49 GMT", "version": "v3" }, { "created": "Fri, 20 Sep 2019 05:26:09 GMT", "version": "v4" }, { "c...
2020-05-26
[ [ "Hareedy", "Ahmed", "" ], [ "Calderbank", "Robert", "" ] ]
Line codes make it possible to mitigate interference, to prevent short pulses, and to generate streams of bipolar signals with no direct-current (DC) power content through balancing. They find application in magnetic recording (MR) devices, in Flash devices, in optical recording devices, and in some computer standards....
2012.05766
Antonio Rago
Emanuele Albini, Piyawat Lertvittayakumjorn, Antonio Rago and Francesca Toni
Deep Argumentative Explanations
16 pages, 10 figures
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite the recent, widespread focus on eXplainable AI (XAI), explanations computed by XAI methods tend to provide little insight into the functioning of Neural Networks (NNs). We propose a novel framework for obtaining (local) explanations from NNs while providing transparency about their inner workings, and show ho...
[ { "created": "Thu, 10 Dec 2020 15:55:09 GMT", "version": "v1" }, { "created": "Mon, 1 Mar 2021 16:46:05 GMT", "version": "v2" }, { "created": "Wed, 10 Mar 2021 17:12:30 GMT", "version": "v3" }, { "created": "Mon, 14 Jun 2021 12:29:14 GMT", "version": "v4" } ]
2021-06-15
[ [ "Albini", "Emanuele", "" ], [ "Lertvittayakumjorn", "Piyawat", "" ], [ "Rago", "Antonio", "" ], [ "Toni", "Francesca", "" ] ]
Despite the recent, widespread focus on eXplainable AI (XAI), explanations computed by XAI methods tend to provide little insight into the functioning of Neural Networks (NNs). We propose a novel framework for obtaining (local) explanations from NNs while providing transparency about their inner workings, and show how ...
2005.12175
Guy Avni
Parand Alizadeh Alamdari, Guy Avni, Thomas A. Henzinger, Anna Lukina
Formal Methods with a Touch of Magic
Published in FMCAD 2020
null
null
null
cs.LO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Machine learning and formal methods have complimentary benefits and drawbacks. In this work, we address the controller-design problem with a combination of techniques from both fields. The use of black-box neural networks in deep reinforcement learning (deep RL) poses a challenge for such a combination. Instead of re...
[ { "created": "Mon, 25 May 2020 15:45:03 GMT", "version": "v1" }, { "created": "Mon, 24 Aug 2020 21:12:51 GMT", "version": "v2" } ]
2020-08-26
[ [ "Alamdari", "Parand Alizadeh", "" ], [ "Avni", "Guy", "" ], [ "Henzinger", "Thomas A.", "" ], [ "Lukina", "Anna", "" ] ]
Machine learning and formal methods have complimentary benefits and drawbacks. In this work, we address the controller-design problem with a combination of techniques from both fields. The use of black-box neural networks in deep reinforcement learning (deep RL) poses a challenge for such a combination. Instead of reas...
1609.07672
Roy Fox
Roy Fox
Information-Theoretic Methods for Planning and Learning in Partially Observable Markov Decision Processes
PhD thesis, Hebrew University of Jerusalem, 9/2016
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bounded agents are limited by intrinsic constraints on their ability to process information that is available in their sensors and memory and choose actions and memory updates. In this dissertation, we model these constraints as information-rate constraints on communication channels connecting these various internal ...
[ { "created": "Sat, 24 Sep 2016 20:45:37 GMT", "version": "v1" }, { "created": "Thu, 30 Mar 2017 04:57:49 GMT", "version": "v2" } ]
2017-03-31
[ [ "Fox", "Roy", "" ] ]
Bounded agents are limited by intrinsic constraints on their ability to process information that is available in their sensors and memory and choose actions and memory updates. In this dissertation, we model these constraints as information-rate constraints on communication channels connecting these various internal co...
2108.10755
Jin Cheevaprawatdomrong
Jin Cheevaprawatdomrong, Alexandra Schofield, Attapol T. Rutherford
More Than Words: Collocation Tokenization for Latent Dirichlet Allocation Models
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Traditionally, Latent Dirichlet Allocation (LDA) ingests words in a collection of documents to discover their latent topics using word-document co-occurrences. However, it is unclear how to achieve the best results for languages without marked word boundaries such as Chinese and Thai. Here, we explore the use of Pear...
[ { "created": "Tue, 24 Aug 2021 14:08:19 GMT", "version": "v1" } ]
2021-08-25
[ [ "Cheevaprawatdomrong", "Jin", "" ], [ "Schofield", "Alexandra", "" ], [ "Rutherford", "Attapol T.", "" ] ]
Traditionally, Latent Dirichlet Allocation (LDA) ingests words in a collection of documents to discover their latent topics using word-document co-occurrences. However, it is unclear how to achieve the best results for languages without marked word boundaries such as Chinese and Thai. Here, we explore the use of Pearso...
1811.00907
Ilia Kulikov
Ilia Kulikov, Alexander H. Miller, Kyunghyun Cho, Jason Weston
Importance of Search and Evaluation Strategies in Neural Dialogue Modeling
iNLG 2019 camera ready version
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the impact of search strategies in neural dialogue modeling. We first compare two standard search algorithms, greedy and beam search, as well as our newly proposed iterative beam search which produces a more diverse set of candidate responses. We evaluate these strategies in realistic full conversation...
[ { "created": "Fri, 2 Nov 2018 14:54:50 GMT", "version": "v1" }, { "created": "Fri, 28 Dec 2018 10:11:54 GMT", "version": "v2" }, { "created": "Sun, 3 Nov 2019 11:21:56 GMT", "version": "v3" } ]
2019-11-05
[ [ "Kulikov", "Ilia", "" ], [ "Miller", "Alexander H.", "" ], [ "Cho", "Kyunghyun", "" ], [ "Weston", "Jason", "" ] ]
We investigate the impact of search strategies in neural dialogue modeling. We first compare two standard search algorithms, greedy and beam search, as well as our newly proposed iterative beam search which produces a more diverse set of candidate responses. We evaluate these strategies in realistic full conversations ...
2005.04093
Aleks Ontman
Joshua Porter, Aleks Ontman
Importing Relationships into a Running Graph Database Using Parallel Processing
5 pages, code provided on GitHub https://github.com/Lnofeisone/graph-iterateRelationship
null
null
null
cs.DC cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Importing relationships into a running graph database using multiple threads running concurrently is a difficult task, as multiple threads cannot write information to the same node at the same time. Here we present an algorithm in which relationships are sorted into bins, then imported such that no two threads ever a...
[ { "created": "Tue, 5 May 2020 14:31:29 GMT", "version": "v1" } ]
2020-05-11
[ [ "Porter", "Joshua", "" ], [ "Ontman", "Aleks", "" ] ]
Importing relationships into a running graph database using multiple threads running concurrently is a difficult task, as multiple threads cannot write information to the same node at the same time. Here we present an algorithm in which relationships are sorted into bins, then imported such that no two threads ever acc...
2305.13021
Ambre Davat
Ambre Davat (GIPSA-PCMD,LIG), V\'eronique Auberg\'e (LIG), Gang Feng (GIPSA-lab)
Can we hear physical and social space together through prosody?
null
Speech Prosody 2020, May 2020, Tokyo, Japan. pp.715-719
10.21437/SpeechProsody.2020-146
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
When human listeners try to guess the spatial position of a speech source, they are influenced by the speaker's production level, regardless of the intensity level reaching their ears. Because the perception of distance is a very difficult task, they rely on their own experience, which tells them that a whispering ta...
[ { "created": "Mon, 22 May 2023 13:25:01 GMT", "version": "v1" } ]
2023-05-23
[ [ "Davat", "Ambre", "", "GIPSA-PCMD,LIG" ], [ "Aubergé", "Véronique", "", "LIG" ], [ "Feng", "Gang", "", "GIPSA-lab" ] ]
When human listeners try to guess the spatial position of a speech source, they are influenced by the speaker's production level, regardless of the intensity level reaching their ears. Because the perception of distance is a very difficult task, they rely on their own experience, which tells them that a whispering talk...
2004.13839
Louis Falissard
Louis Falissard, Claire Morgand, Sylvie Roussel, Claire Imbaud, Walid Ghosn, Karim Bounebache, Gr\'egoire Rey
Neural translation and automated recognition of ICD10 medical entities from natural language
null
null
null
null
cs.CL cs.CY cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recognition of medical entities from natural language is an ubiquitous problem in the medical field, with applications ranging from medical act coding to the analysis of electronic health data for public health. It is however a complex task usually requiring human expert intervention, thus making it expansive and...
[ { "created": "Fri, 27 Mar 2020 18:17:53 GMT", "version": "v1" }, { "created": "Wed, 6 May 2020 10:30:24 GMT", "version": "v2" } ]
2020-05-07
[ [ "Falissard", "Louis", "" ], [ "Morgand", "Claire", "" ], [ "Roussel", "Sylvie", "" ], [ "Imbaud", "Claire", "" ], [ "Ghosn", "Walid", "" ], [ "Bounebache", "Karim", "" ], [ "Rey", "Grégoire", "" ] ]
The recognition of medical entities from natural language is an ubiquitous problem in the medical field, with applications ranging from medical act coding to the analysis of electronic health data for public health. It is however a complex task usually requiring human expert intervention, thus making it expansive and t...
2203.09446
Fabian Bongratz
Fabian Bongratz, Anne-Marie Rickmann, Sebastian P\"olsterl, Christian Wachinger
Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks
Accepted at CVPR 2022
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
The reconstruction of cortical surfaces from brain magnetic resonance imaging (MRI) scans is essential for quantitative analyses of cortical thickness and sulcal morphology. Although traditional and deep learning-based algorithmic pipelines exist for this purpose, they have two major drawbacks: lengthy runtimes of mu...
[ { "created": "Thu, 17 Mar 2022 17:06:00 GMT", "version": "v1" }, { "created": "Fri, 18 Mar 2022 11:10:19 GMT", "version": "v2" } ]
2022-03-21
[ [ "Bongratz", "Fabian", "" ], [ "Rickmann", "Anne-Marie", "" ], [ "Pölsterl", "Sebastian", "" ], [ "Wachinger", "Christian", "" ] ]
The reconstruction of cortical surfaces from brain magnetic resonance imaging (MRI) scans is essential for quantitative analyses of cortical thickness and sulcal morphology. Although traditional and deep learning-based algorithmic pipelines exist for this purpose, they have two major drawbacks: lengthy runtimes of mult...
1812.03219
Aaron Springer
Aaron Springer, Victoria Hollis, Steve Whittaker
Dice in the Black Box: User Experiences with an Inscrutable Algorithm
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We demonstrate that users may be prone to place an inordinate amount of trust in black box algorithms that are framed as intelligent. We deploy an algorithm that purportedly assesses the positivity and negativity of a users' writing emotional writing. In actuality, the algorithm responds in a random fashion. We quali...
[ { "created": "Fri, 7 Dec 2018 21:37:49 GMT", "version": "v1" } ]
2018-12-11
[ [ "Springer", "Aaron", "" ], [ "Hollis", "Victoria", "" ], [ "Whittaker", "Steve", "" ] ]
We demonstrate that users may be prone to place an inordinate amount of trust in black box algorithms that are framed as intelligent. We deploy an algorithm that purportedly assesses the positivity and negativity of a users' writing emotional writing. In actuality, the algorithm responds in a random fashion. We qualita...
2008.00188
Shihao Xu
Haocong Rao, Shihao Xu, Xiping Hu, Jun Cheng, Bin Hu
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition
Accepted by Information Sciences. Our codes are available at https://github.com/Mikexu007/AS-CAL
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Action recognition via 3D skeleton data is an emerging important topic in these years. Most existing methods either extract hand-crafted descriptors or learn action representations by supervised learning paradigms that require massive labeled data. In this paper, we for the first time propose a contrastive action lea...
[ { "created": "Sat, 1 Aug 2020 06:37:57 GMT", "version": "v1" }, { "created": "Wed, 5 Aug 2020 01:32:35 GMT", "version": "v2" }, { "created": "Tue, 18 Aug 2020 13:14:59 GMT", "version": "v3" }, { "created": "Fri, 2 Apr 2021 08:14:45 GMT", "version": "v4" } ]
2021-04-05
[ [ "Rao", "Haocong", "" ], [ "Xu", "Shihao", "" ], [ "Hu", "Xiping", "" ], [ "Cheng", "Jun", "" ], [ "Hu", "Bin", "" ] ]
Action recognition via 3D skeleton data is an emerging important topic in these years. Most existing methods either extract hand-crafted descriptors or learn action representations by supervised learning paradigms that require massive labeled data. In this paper, we for the first time propose a contrastive action learn...
2211.10030
Qinggang Zhang
Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu
Contrastive Knowledge Graph Error Detection
null
CIKM 2022: Proceedings of the 31st ACM International Conference on Information & Knowledge Management
10.1145/3511808.3557264
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Knowledge Graph (KG) errors introduce non-negligible noise, severely affecting KG-related downstream tasks. Detecting errors in KGs is challenging since the patterns of errors are unknown and diverse, while ground-truth labels are rare or even unavailable. A traditional solution is to construct logical rules to verif...
[ { "created": "Fri, 18 Nov 2022 05:01:19 GMT", "version": "v1" } ]
2022-11-21
[ [ "Zhang", "Qinggang", "" ], [ "Dong", "Junnan", "" ], [ "Duan", "Keyu", "" ], [ "Huang", "Xiao", "" ], [ "Liu", "Yezi", "" ], [ "Xu", "Linchuan", "" ] ]
Knowledge Graph (KG) errors introduce non-negligible noise, severely affecting KG-related downstream tasks. Detecting errors in KGs is challenging since the patterns of errors are unknown and diverse, while ground-truth labels are rare or even unavailable. A traditional solution is to construct logical rules to verify ...
1905.06668
Achim Blumensath
Achim Blumensath and Felix Wolf
Bisimulation Invariant Monadic-Second Order Logic in the Finite
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider bisimulation-invariant monadic second-order logic over various classes of finite transition systems. We present several combinatorial characterisations of when the expressive power of this fragment coincides with that of the modal mu-calculus. Using these characterisations we prove for some simple classes...
[ { "created": "Thu, 16 May 2019 11:37:41 GMT", "version": "v1" } ]
2019-05-17
[ [ "Blumensath", "Achim", "" ], [ "Wolf", "Felix", "" ] ]
We consider bisimulation-invariant monadic second-order logic over various classes of finite transition systems. We present several combinatorial characterisations of when the expressive power of this fragment coincides with that of the modal mu-calculus. Using these characterisations we prove for some simple classes o...
2311.05050
Wanda Hou
Wanda Hou, Miao Li, Yi-Zhuang You
Quantum Generative Modeling of Sequential Data with Trainable Token Embedding
5 pages, 4 figures
null
null
null
cs.LG quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative models are a class of machine learning models that aim to learn the underlying probability distribution of data. Unlike discriminative models, generative models focus on capturing the data's inherent structure, allowing them to generate new samples that resemble the original data. To fully exploit the pote...
[ { "created": "Wed, 8 Nov 2023 22:56:37 GMT", "version": "v1" } ]
2023-11-14
[ [ "Hou", "Wanda", "" ], [ "Li", "Miao", "" ], [ "You", "Yi-Zhuang", "" ] ]
Generative models are a class of machine learning models that aim to learn the underlying probability distribution of data. Unlike discriminative models, generative models focus on capturing the data's inherent structure, allowing them to generate new samples that resemble the original data. To fully exploit the potent...
2407.19451
Chengan He
Chengan He, Xin Sun, Zhixin Shu, Fujun Luan, S\"oren Pirk, Jorge Alejandro Amador Herrera, Dominik L. Michels, Tuanfeng Y. Wang, Meng Zhang, Holly Rushmeier, Yi Zhou
Perm: A Parametric Representation for Multi-Style 3D Hair Modeling
Project page: https://cs.yale.edu/homes/che/projects/perm/
null
null
null
cs.CV cs.GR
http://creativecommons.org/licenses/by/4.0/
We present Perm, a learned parametric model of human 3D hair designed to facilitate various hair-related applications. Unlike previous work that jointly models the global hair shape and local strand details, we propose to disentangle them using a PCA-based strand representation in the frequency domain, thereby allowi...
[ { "created": "Sun, 28 Jul 2024 10:05:11 GMT", "version": "v1" }, { "created": "Wed, 31 Jul 2024 04:10:53 GMT", "version": "v2" }, { "created": "Thu, 8 Aug 2024 04:01:03 GMT", "version": "v3" } ]
2024-08-09
[ [ "He", "Chengan", "" ], [ "Sun", "Xin", "" ], [ "Shu", "Zhixin", "" ], [ "Luan", "Fujun", "" ], [ "Pirk", "Sören", "" ], [ "Herrera", "Jorge Alejandro Amador", "" ], [ "Michels", "Dominik L.", "" ], [ ...
We present Perm, a learned parametric model of human 3D hair designed to facilitate various hair-related applications. Unlike previous work that jointly models the global hair shape and local strand details, we propose to disentangle them using a PCA-based strand representation in the frequency domain, thereby allowing...
1410.3688
Khammassi Iyed Mr
Iyed Khammassi, Rachid Elazouzi, Majed Haddad and Issam Mabrouki
A Game Theoretic Model for Network Virus Protection
Technical report, 8 pages, 10 figures
null
null
null
cs.GT cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The network virus propagation is influenced by various factors, and some of them are neglected in most of the existed models in the literature. In this paper, we study the network virus propagation based on the the epidemiological viewpoint. We assume that nodes can be equipped with protection against virus and the s...
[ { "created": "Tue, 14 Oct 2014 13:37:45 GMT", "version": "v1" } ]
2014-10-15
[ [ "Khammassi", "Iyed", "" ], [ "Elazouzi", "Rachid", "" ], [ "Haddad", "Majed", "" ], [ "Mabrouki", "Issam", "" ] ]
The network virus propagation is influenced by various factors, and some of them are neglected in most of the existed models in the literature. In this paper, we study the network virus propagation based on the the epidemiological viewpoint. We assume that nodes can be equipped with protection against virus and the sec...
2107.08909
Takayuki Miura
Takayuki Miura, Satoshi Hasegawa, Toshiki Shibahara
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI
10 pages, 5 figures
null
null
null
cs.CR cs.LG
http://creativecommons.org/licenses/by/4.0/
The advance of explainable artificial intelligence, which provides reasons for its predictions, is expected to accelerate the use of deep neural networks in the real world like Machine Learning as a Service (MLaaS) that returns predictions on queried data with the trained model. Deep neural networks deployed in MLaaS...
[ { "created": "Mon, 19 Jul 2021 14:25:06 GMT", "version": "v1" } ]
2021-07-20
[ [ "Miura", "Takayuki", "" ], [ "Hasegawa", "Satoshi", "" ], [ "Shibahara", "Toshiki", "" ] ]
The advance of explainable artificial intelligence, which provides reasons for its predictions, is expected to accelerate the use of deep neural networks in the real world like Machine Learning as a Service (MLaaS) that returns predictions on queried data with the trained model. Deep neural networks deployed in MLaaS f...
2005.03358
Feitong Tan
Feitong Tan, Hao Zhu, Zhaopeng Cui, Siyu Zhu, Marc Pollefeys, Ping Tan
Self-Supervised Human Depth Estimation from Monocular Videos
Accepted by IEEE Conference on Computer Vision and Patten Recognition (CVPR), 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Previous methods on estimating detailed human depth often require supervised training with `ground truth' depth data. This paper presents a self-supervised method that can be trained on YouTube videos without known depth, which makes training data collection simple and improves the generalization of the learned netwo...
[ { "created": "Thu, 7 May 2020 09:45:11 GMT", "version": "v1" } ]
2020-05-08
[ [ "Tan", "Feitong", "" ], [ "Zhu", "Hao", "" ], [ "Cui", "Zhaopeng", "" ], [ "Zhu", "Siyu", "" ], [ "Pollefeys", "Marc", "" ], [ "Tan", "Ping", "" ] ]
Previous methods on estimating detailed human depth often require supervised training with `ground truth' depth data. This paper presents a self-supervised method that can be trained on YouTube videos without known depth, which makes training data collection simple and improves the generalization of the learned network...
2107.05582
Ilias Diakonikolas
Ilias Diakonikolas and Daniel M. Kane and Christos Tzamos
Forster Decomposition and Learning Halfspaces with Noise
null
null
null
null
cs.LG cs.DS stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A Forster transform is an operation that turns a distribution into one with good anti-concentration properties. While a Forster transform does not always exist, we show that any distribution can be efficiently decomposed as a disjoint mixture of few distributions for which a Forster transform exists and can be comput...
[ { "created": "Mon, 12 Jul 2021 17:00:59 GMT", "version": "v1" } ]
2021-07-13
[ [ "Diakonikolas", "Ilias", "" ], [ "Kane", "Daniel M.", "" ], [ "Tzamos", "Christos", "" ] ]
A Forster transform is an operation that turns a distribution into one with good anti-concentration properties. While a Forster transform does not always exist, we show that any distribution can be efficiently decomposed as a disjoint mixture of few distributions for which a Forster transform exists and can be computed...
2212.08665
Yue Liu
Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen
Hard Sample Aware Network for Contrastive Deep Graph Clustering
add appendix
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Contrastive deep graph clustering, which aims to divide nodes into disjoint groups via contrastive mechanisms, is a challenging research spot. Among the recent works, hard sample mining-based algorithms have achieved great attention for their promising performance. However, we find that the existing hard sample minin...
[ { "created": "Fri, 16 Dec 2022 16:57:37 GMT", "version": "v1" }, { "created": "Sun, 25 Dec 2022 05:33:18 GMT", "version": "v2" }, { "created": "Sat, 28 Jan 2023 09:25:10 GMT", "version": "v3" } ]
2023-01-31
[ [ "Liu", "Yue", "" ], [ "Yang", "Xihong", "" ], [ "Zhou", "Sihang", "" ], [ "Liu", "Xinwang", "" ], [ "Wang", "Zhen", "" ], [ "Liang", "Ke", "" ], [ "Tu", "Wenxuan", "" ], [ "Li", "Liang", "" ...
Contrastive deep graph clustering, which aims to divide nodes into disjoint groups via contrastive mechanisms, is a challenging research spot. Among the recent works, hard sample mining-based algorithms have achieved great attention for their promising performance. However, we find that the existing hard sample mining ...
2110.09974
Meirui Jiang
Meirui Jiang, Xiaoxiao Li, Xiaofei Zhang, Michael Kamp, Qi Dou
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
How to tackle non-iid data is a crucial topic in federated learning. This challenging problem not only affects training process, but also harms performance of clients not participating in training. Existing literature mainly focuses on either side, yet still lacks a unified solution to handle these two types (interna...
[ { "created": "Tue, 19 Oct 2021 13:46:37 GMT", "version": "v1" }, { "created": "Fri, 10 Dec 2021 13:32:55 GMT", "version": "v2" }, { "created": "Wed, 15 Feb 2023 08:00:50 GMT", "version": "v3" } ]
2023-02-17
[ [ "Jiang", "Meirui", "" ], [ "Li", "Xiaoxiao", "" ], [ "Zhang", "Xiaofei", "" ], [ "Kamp", "Michael", "" ], [ "Dou", "Qi", "" ] ]
How to tackle non-iid data is a crucial topic in federated learning. This challenging problem not only affects training process, but also harms performance of clients not participating in training. Existing literature mainly focuses on either side, yet still lacks a unified solution to handle these two types (internal ...
2002.00118
Xingzhe He
Xingzhe He, Helen Lu Cao, Bo Zhu
AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud Processing
ICLR 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a novel physics-inspired deep learning approach for point cloud processing motivated by the natural flow phenomena in fluid mechanics. Our learning architecture jointly defines data in an Eulerian world space, using a static background grid, and a Lagrangian material space, using moving particles....
[ { "created": "Sat, 1 Feb 2020 01:21:05 GMT", "version": "v1" }, { "created": "Mon, 24 Feb 2020 01:33:56 GMT", "version": "v2" }, { "created": "Wed, 24 Jun 2020 19:44:09 GMT", "version": "v3" } ]
2020-06-26
[ [ "He", "Xingzhe", "" ], [ "Cao", "Helen Lu", "" ], [ "Zhu", "Bo", "" ] ]
This paper presents a novel physics-inspired deep learning approach for point cloud processing motivated by the natural flow phenomena in fluid mechanics. Our learning architecture jointly defines data in an Eulerian world space, using a static background grid, and a Lagrangian material space, using moving particles. B...
2408.03603
Jiahao Zhang
Jiahao Zhang, Zilong Wang, Ruofan Wang, Xingjun Ma and Yu-Gang Jiang
EnJa: Ensemble Jailbreak on Large Language Models
null
null
null
null
cs.CR cs.AI cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As Large Language Models (LLMs) are increasingly being deployed in safety-critical applications, their vulnerability to potential jailbreaks -- malicious prompts that can disable the safety mechanism of LLMs -- has attracted growing research attention. While alignment methods have been proposed to protect LLMs from j...
[ { "created": "Wed, 7 Aug 2024 07:46:08 GMT", "version": "v1" } ]
2024-08-08
[ [ "Zhang", "Jiahao", "" ], [ "Wang", "Zilong", "" ], [ "Wang", "Ruofan", "" ], [ "Ma", "Xingjun", "" ], [ "Jiang", "Yu-Gang", "" ] ]
As Large Language Models (LLMs) are increasingly being deployed in safety-critical applications, their vulnerability to potential jailbreaks -- malicious prompts that can disable the safety mechanism of LLMs -- has attracted growing research attention. While alignment methods have been proposed to protect LLMs from jai...
2002.03830
David W. Romero
David W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn
Attentive Group Equivariant Convolutional Networks
Proceedings of the 37th International Conference on Machine Learning (ICML), 2020
null
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although group convolutional networks are able to learn powerful representations based on symmetry patterns, they lack explicit means to learn meaningful relationships among them (e.g., relative positions and poses). In this paper, we present attentive group equivariant convolutions, a generalization of the group con...
[ { "created": "Fri, 7 Feb 2020 14:06:24 GMT", "version": "v1" }, { "created": "Mon, 24 Feb 2020 12:34:17 GMT", "version": "v2" }, { "created": "Tue, 30 Jun 2020 07:41:35 GMT", "version": "v3" } ]
2020-07-01
[ [ "Romero", "David W.", "" ], [ "Bekkers", "Erik J.", "" ], [ "Tomczak", "Jakub M.", "" ], [ "Hoogendoorn", "Mark", "" ] ]
Although group convolutional networks are able to learn powerful representations based on symmetry patterns, they lack explicit means to learn meaningful relationships among them (e.g., relative positions and poses). In this paper, we present attentive group equivariant convolutions, a generalization of the group convo...
2302.09688
Daniel Karl I. Weidele
Daniel Karl I. Weidele, Shazia Afzal, Abel N. Valente, Cole Makuch, Owen Cornec, Long Vu, Dharmashankar Subramanian, Werner Geyer, Rahul Nair, Inge Vejsbjerg, Radu Marinescu, Paulito Palmes, Elizabeth M. Daly, Loraine Franke, Daniel Haehn
AutoDOViz: Human-Centered Automation for Decision Optimization
null
null
10.1145/3581641.3584094
null
cs.HC cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
We present AutoDOViz, an interactive user interface for automated decision optimization (AutoDO) using reinforcement learning (RL). Decision optimization (DO) has classically being practiced by dedicated DO researchers where experts need to spend long periods of time fine tuning a solution through trial-and-error. Au...
[ { "created": "Sun, 19 Feb 2023 23:06:19 GMT", "version": "v1" } ]
2023-02-21
[ [ "Weidele", "Daniel Karl I.", "" ], [ "Afzal", "Shazia", "" ], [ "Valente", "Abel N.", "" ], [ "Makuch", "Cole", "" ], [ "Cornec", "Owen", "" ], [ "Vu", "Long", "" ], [ "Subramanian", "Dharmashankar", "" ]...
We present AutoDOViz, an interactive user interface for automated decision optimization (AutoDO) using reinforcement learning (RL). Decision optimization (DO) has classically being practiced by dedicated DO researchers where experts need to spend long periods of time fine tuning a solution through trial-and-error. Auto...
2206.12055
Peng-Shuai Wang
Xin-Yang Zheng and Yang Liu and Peng-Shuai Wang and Xin Tong
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation
Accepted to Computer Graphics Forum (SGP), 2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a StyleGAN2-based deep learning approach for 3D shape generation, called SDF-StyleGAN, with the aim of reducing visual and geometric dissimilarity between generated shapes and a shape collection. We extend StyleGAN2 to 3D generation and utilize the implicit signed distance function (SDF) as the 3D shape re...
[ { "created": "Fri, 24 Jun 2022 03:11:28 GMT", "version": "v1" } ]
2022-06-27
[ [ "Zheng", "Xin-Yang", "" ], [ "Liu", "Yang", "" ], [ "Wang", "Peng-Shuai", "" ], [ "Tong", "Xin", "" ] ]
We present a StyleGAN2-based deep learning approach for 3D shape generation, called SDF-StyleGAN, with the aim of reducing visual and geometric dissimilarity between generated shapes and a shape collection. We extend StyleGAN2 to 3D generation and utilize the implicit signed distance function (SDF) as the 3D shape repr...
2308.07162
David Guillermo Fajardo Ortiz Dr.
David Fajardo-Ortiz, Bart Thijs, Wolfgang Glanzel, Karin R. Sipido
Evolution of priorities in strategic funding for collaborative health research. A comparison of the European Union Framework Programmes to the program funding by the United States National Institutes of Health
null
null
null
null
cs.DL
http://creativecommons.org/licenses/by/4.0/
The historical research-funding model, based on the curiosity and academic interests of researchers, is giving way to new strategic funding models that seek to meet societal needs. We investigated the impact of this trend on health research funded by the two leading funding bodies worldwide, i.e. the National Institu...
[ { "created": "Mon, 14 Aug 2023 14:17:34 GMT", "version": "v1" } ]
2023-08-15
[ [ "Fajardo-Ortiz", "David", "" ], [ "Thijs", "Bart", "" ], [ "Glanzel", "Wolfgang", "" ], [ "Sipido", "Karin R.", "" ] ]
The historical research-funding model, based on the curiosity and academic interests of researchers, is giving way to new strategic funding models that seek to meet societal needs. We investigated the impact of this trend on health research funded by the two leading funding bodies worldwide, i.e. the National Institute...
2404.01869
Philipp Mondorf
Philipp Mondorf and Barbara Plank
Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey
COLM 2024, 27 pages, 2 figures
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by-sa/4.0/
Large language models (LLMs) have recently shown impressive performance on tasks involving reasoning, leading to a lively debate on whether these models possess reasoning capabilities similar to humans. However, despite these successes, the depth of LLMs' reasoning abilities remains uncertain. This uncertainty partly...
[ { "created": "Tue, 2 Apr 2024 11:46:31 GMT", "version": "v1" }, { "created": "Tue, 6 Aug 2024 11:58:53 GMT", "version": "v2" } ]
2024-08-07
[ [ "Mondorf", "Philipp", "" ], [ "Plank", "Barbara", "" ] ]
Large language models (LLMs) have recently shown impressive performance on tasks involving reasoning, leading to a lively debate on whether these models possess reasoning capabilities similar to humans. However, despite these successes, the depth of LLMs' reasoning abilities remains uncertain. This uncertainty partly s...
2403.09634
Lingyi Hong
Lingyi Hong, Shilin Yan, Renrui Zhang, Wanyun Li, Xinyu Zhou, Pinxue Guo, Kaixun Jiang, Yiting Chen, Jinglun Li, Zhaoyu Chen, Wenqiang Zhang
OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning
Accepted to CVPR 2024
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visual object tracking aims to localize the target object of each frame based on its initial appearance in the first frame. Depending on the input modility, tracking tasks can be divided into RGB tracking and RGB+X (e.g. RGB+N, and RGB+D) tracking. Despite the different input modalities, the core aspect of tracking i...
[ { "created": "Thu, 14 Mar 2024 17:59:13 GMT", "version": "v1" } ]
2024-03-15
[ [ "Hong", "Lingyi", "" ], [ "Yan", "Shilin", "" ], [ "Zhang", "Renrui", "" ], [ "Li", "Wanyun", "" ], [ "Zhou", "Xinyu", "" ], [ "Guo", "Pinxue", "" ], [ "Jiang", "Kaixun", "" ], [ "Chen", "Yiting...
Visual object tracking aims to localize the target object of each frame based on its initial appearance in the first frame. Depending on the input modility, tracking tasks can be divided into RGB tracking and RGB+X (e.g. RGB+N, and RGB+D) tracking. Despite the different input modalities, the core aspect of tracking is ...
1306.0195
Prateek Dewan
Prateek Dewan, Niharika Sachdeva, Mayank Gupta, Ponnurangam Kumaraguru
ChaMAILeon: Exploring the Usability of a Privacy Preserving Email Sharing System
12 pages without references and appendices
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While passwords, by definition, are meant to be secret, recent trends have witnessed an increasing number of people sharing their email passwords with friends, colleagues, and significant others. However, leading websites like Google advise their users not to share their passwords with anyone, to avoid security and p...
[ { "created": "Sun, 2 Jun 2013 11:23:27 GMT", "version": "v1" } ]
2013-06-04
[ [ "Dewan", "Prateek", "" ], [ "Sachdeva", "Niharika", "" ], [ "Gupta", "Mayank", "" ], [ "Kumaraguru", "Ponnurangam", "" ] ]
While passwords, by definition, are meant to be secret, recent trends have witnessed an increasing number of people sharing their email passwords with friends, colleagues, and significant others. However, leading websites like Google advise their users not to share their passwords with anyone, to avoid security and pri...
1502.04868
Rafael Boloix-Tortosa
Rafael Boloix-Tortosa, F. Javier Pay\'an-Somet, Eva Arias-de-Reyna and Juan Jos\'e Murillo-Fuentes
Proper Complex Gaussian Processes for Regression
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Complex-valued signals are used in the modeling of many systems in engineering and science, hence being of fundamental interest. Often, random complex-valued signals are considered to be proper. A proper complex random variable or process is uncorrelated with its complex conjugate. This assumption is a good model of ...
[ { "created": "Tue, 17 Feb 2015 11:59:44 GMT", "version": "v1" }, { "created": "Wed, 18 Feb 2015 09:33:34 GMT", "version": "v2" } ]
2015-02-19
[ [ "Boloix-Tortosa", "Rafael", "" ], [ "Payán-Somet", "F. Javier", "" ], [ "Arias-de-Reyna", "Eva", "" ], [ "Murillo-Fuentes", "Juan José", "" ] ]
Complex-valued signals are used in the modeling of many systems in engineering and science, hence being of fundamental interest. Often, random complex-valued signals are considered to be proper. A proper complex random variable or process is uncorrelated with its complex conjugate. This assumption is a good model of th...
cs/0404047
Gianluca Argentini
Gianluca Argentini
Using matrices in post-processing phase of CFD simulations
Paper based on presentation-talk at SCICOMP9, Bologna (Italy), March 23-26, 2004; workshop organized by IBM, CINECA (Italy) (dr. Sigismondo Boschi, dr. Giovanni Erbacci), NERSC-DOE (USA) (dr. David Skinner), web site: www.spscicomp.org ; main topics: Computational Fluid Dynamics
Progress in Industrial Mathematics at ECMI 2004 - Eindhoven (Netherlands), Springer, 2005
null
null
cs.NA cs.DC physics.comp-ph
null
In this work I present a technique of construction and fast evaluation of a family of cubic polynomials for analytic smoothing and graphical rendering of particles trajectories for flows in a generic geometry. The principal result of the work was implementation and test of a method for interpolating 3D points by regu...
[ { "created": "Thu, 22 Apr 2004 15:33:52 GMT", "version": "v1" } ]
2007-05-23
[ [ "Argentini", "Gianluca", "" ] ]
In this work I present a technique of construction and fast evaluation of a family of cubic polynomials for analytic smoothing and graphical rendering of particles trajectories for flows in a generic geometry. The principal result of the work was implementation and test of a method for interpolating 3D points by regula...
2010.12532
Nicole Peinelt
Nicole Peinelt, Marek Rei and Maria Liakata
GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large pre-trained language models such as BERT have been the driving force behind recent improvements across many NLP tasks. However, BERT is only trained to predict missing words - either behind masks or in the next sentence - and has no knowledge of lexical, syntactic or semantic information beyond what it picks up...
[ { "created": "Fri, 23 Oct 2020 17:00:26 GMT", "version": "v1" } ]
2020-10-26
[ [ "Peinelt", "Nicole", "" ], [ "Rei", "Marek", "" ], [ "Liakata", "Maria", "" ] ]
Large pre-trained language models such as BERT have been the driving force behind recent improvements across many NLP tasks. However, BERT is only trained to predict missing words - either behind masks or in the next sentence - and has no knowledge of lexical, syntactic or semantic information beyond what it picks up t...
2404.16748
Junting Dong
Junting Dong, Qi Fang, Zehuan Huang, Xudong Xu, Jingbo Wang, Sida Peng, Bo Dai
TELA: Text to Layer-wise 3D Clothed Human Generation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper addresses the task of 3D clothed human generation from textural descriptions. Previous works usually encode the human body and clothes as a holistic model and generate the whole model in a single-stage optimization, which makes them struggle for clothing editing and meanwhile lose fine-grained control over...
[ { "created": "Thu, 25 Apr 2024 17:05:38 GMT", "version": "v1" } ]
2024-04-26
[ [ "Dong", "Junting", "" ], [ "Fang", "Qi", "" ], [ "Huang", "Zehuan", "" ], [ "Xu", "Xudong", "" ], [ "Wang", "Jingbo", "" ], [ "Peng", "Sida", "" ], [ "Dai", "Bo", "" ] ]
This paper addresses the task of 3D clothed human generation from textural descriptions. Previous works usually encode the human body and clothes as a holistic model and generate the whole model in a single-stage optimization, which makes them struggle for clothing editing and meanwhile lose fine-grained control over t...
1401.3582
Xiaomin Bao
Xiaomin Bao
The equivalent identities of the MacWilliams identity for linear codes
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We use derivatives to prove the equivalences between MacWilliams identity and its four equivalent forms, and present new interpretations for the four equivalent forms. Our results explicitly give out the relationships between MacWilliams identity and its four equivalent forms.
[ { "created": "Mon, 23 Dec 2013 13:19:42 GMT", "version": "v1" }, { "created": "Sat, 8 Feb 2014 07:47:47 GMT", "version": "v2" } ]
2014-02-11
[ [ "Bao", "Xiaomin", "" ] ]
We use derivatives to prove the equivalences between MacWilliams identity and its four equivalent forms, and present new interpretations for the four equivalent forms. Our results explicitly give out the relationships between MacWilliams identity and its four equivalent forms.
1603.08878
Alexander Barg
Itzhak Tamo, Alexander Barg, Sreechakra Goparaju, and Robert Calderbank
Cyclic LRC Codes, binary LRC codes, and upper bounds on the distance of cyclic codes
12pp., submitted for publication. An extended abstract of this submission was posted earlier as arXiv:1502.01414 and was published in Proceedings of the 2015 IEEE International Symposium on Information Theory, Hong Kong, China, June 14-19, 2015, pp. 1262--1266
International Journal of Information and Coding Theory, vol. 3, no. 4, pp.345-364 (2016)
10.1504/IJICOT.2016.079496
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider linear cyclic codes with the locality property, or locally recoverable codes (LRC codes). A family of LRC codes that generalize the classical construction of Reed-Solomon codes was constructed in a recent paper by I. Tamo and A. Barg (IEEE Trans. Inform. Theory, no. 8, 2014). In this paper we focus on opt...
[ { "created": "Tue, 29 Mar 2016 18:41:24 GMT", "version": "v1" } ]
2017-02-10
[ [ "Tamo", "Itzhak", "" ], [ "Barg", "Alexander", "" ], [ "Goparaju", "Sreechakra", "" ], [ "Calderbank", "Robert", "" ] ]
We consider linear cyclic codes with the locality property, or locally recoverable codes (LRC codes). A family of LRC codes that generalize the classical construction of Reed-Solomon codes was constructed in a recent paper by I. Tamo and A. Barg (IEEE Trans. Inform. Theory, no. 8, 2014). In this paper we focus on optim...
2309.14971
Matteo Pagin
Manishika Rawat, Matteo Pagin, Marco Giordani, Louis-Adrien Dufrene, Quentin Lampin, Michele Zorzi
Minimizing Energy Consumption for 5G NR Beam Management for RedCap Devices
null
null
null
null
cs.NI eess.SP
http://creativecommons.org/licenses/by-nc-sa/4.0/
In 5G New Radio (NR), beam management entails periodic and continuous transmission and reception of control signals in the form of synchronization signal blocks (SSBs), used to perform initial access and/or channel estimation. However, this procedure demands continuous energy consumption, which is particularly challe...
[ { "created": "Tue, 26 Sep 2023 14:44:08 GMT", "version": "v1" } ]
2023-09-27
[ [ "Rawat", "Manishika", "" ], [ "Pagin", "Matteo", "" ], [ "Giordani", "Marco", "" ], [ "Dufrene", "Louis-Adrien", "" ], [ "Lampin", "Quentin", "" ], [ "Zorzi", "Michele", "" ] ]
In 5G New Radio (NR), beam management entails periodic and continuous transmission and reception of control signals in the form of synchronization signal blocks (SSBs), used to perform initial access and/or channel estimation. However, this procedure demands continuous energy consumption, which is particularly challeng...
1903.06965
Ahmet Serkan Karata\c{s}
Ahmet Serkan Karata\c{s}
Feather: A Feature Model Transformation Language
29 pages, supplementary material published at https://github.com/askaratas/Feather
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Feature modeling has been a very popular approach for variability management in software product lines. Building a feature model requires substantial domain expertise, however, even experts cannot foresee all future possibilities. Changing requirements can force a feature model to evolve in order to adapt to the new ...
[ { "created": "Sat, 16 Mar 2019 18:08:37 GMT", "version": "v1" } ]
2019-03-19
[ [ "Karataş", "Ahmet Serkan", "" ] ]
Feature modeling has been a very popular approach for variability management in software product lines. Building a feature model requires substantial domain expertise, however, even experts cannot foresee all future possibilities. Changing requirements can force a feature model to evolve in order to adapt to the new co...
1309.6818
Jakramate Bootkrajang
Jakramate Bootkrajang, Ata Kaban
Boosting in the presence of label noise
Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013)
null
null
UAI-P-2013-PG-82-91
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Boosting is known to be sensitive to label noise. We studied two approaches to improve AdaBoost's robustness against labelling errors. One is to employ a label-noise robust classifier as a base learner, while the other is to modify the AdaBoost algorithm to be more robust. Empirical evaluation shows that a committee ...
[ { "created": "Thu, 26 Sep 2013 12:35:03 GMT", "version": "v1" } ]
2013-09-27
[ [ "Bootkrajang", "Jakramate", "" ], [ "Kaban", "Ata", "" ] ]
Boosting is known to be sensitive to label noise. We studied two approaches to improve AdaBoost's robustness against labelling errors. One is to employ a label-noise robust classifier as a base learner, while the other is to modify the AdaBoost algorithm to be more robust. Empirical evaluation shows that a committee of...
1711.06851
Alberto Perez Veiga
Alberto Perez Veiga
Project Success in Agile Development Projects
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The paper explains and clarifies the differences between Waterfall and Agile development methodologies, establishes what criteria could be taken into account to properly define project success within the scope of software development projects, and finally tries to clarify if project success is the reason why many org...
[ { "created": "Sat, 18 Nov 2017 12:14:35 GMT", "version": "v1" } ]
2017-11-21
[ [ "Veiga", "Alberto Perez", "" ] ]
The paper explains and clarifies the differences between Waterfall and Agile development methodologies, establishes what criteria could be taken into account to properly define project success within the scope of software development projects, and finally tries to clarify if project success is the reason why many organ...
2404.08370
Svyatoslav Gryaznov
Svyatoslav Gryaznov, Sergei Ovcharov, Artur Riazanov
Resolution Over Linear Equations: Combinatorial Games for Tree-like Size and Space
null
null
10.1145/3675415
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the proof system Res($\oplus$) introduced by Itsykson and Sokolov (Ann. Pure Appl. Log.'20), which is an extension of the resolution proof system and operates with disjunctions of linear equations over $\mathbb{F}_2$. We study characterizations of tree-like size and space of Res($\oplus$) refutations us...
[ { "created": "Fri, 12 Apr 2024 10:13:18 GMT", "version": "v1" }, { "created": "Wed, 10 Jul 2024 10:45:35 GMT", "version": "v2" } ]
2024-07-11
[ [ "Gryaznov", "Svyatoslav", "" ], [ "Ovcharov", "Sergei", "" ], [ "Riazanov", "Artur", "" ] ]
We consider the proof system Res($\oplus$) introduced by Itsykson and Sokolov (Ann. Pure Appl. Log.'20), which is an extension of the resolution proof system and operates with disjunctions of linear equations over $\mathbb{F}_2$. We study characterizations of tree-like size and space of Res($\oplus$) refutations using ...
2010.07565
Junfu Wang
Junfu Wang, Yunhong Wang, Zhen Yang, Liang Yang, Yuanfang Guo
Bi-GCN: Binary Graph Convolutional Network
Accepted by CVPR 2021 as oral presentation
null
10.1109/CVPR46437.2021.00161
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph Neural Networks (GNNs) have achieved tremendous success in graph representation learning. Unfortunately, current GNNs usually rely on loading the entire attributed graph into network for processing. This implicit assumption may not be satisfied with limited memory resources, especially when the attributed graph...
[ { "created": "Thu, 15 Oct 2020 07:26:23 GMT", "version": "v1" }, { "created": "Thu, 8 Apr 2021 12:51:30 GMT", "version": "v2" } ]
2022-02-15
[ [ "Wang", "Junfu", "" ], [ "Wang", "Yunhong", "" ], [ "Yang", "Zhen", "" ], [ "Yang", "Liang", "" ], [ "Guo", "Yuanfang", "" ] ]
Graph Neural Networks (GNNs) have achieved tremendous success in graph representation learning. Unfortunately, current GNNs usually rely on loading the entire attributed graph into network for processing. This implicit assumption may not be satisfied with limited memory resources, especially when the attributed graph i...
1806.04391
Kai Hu
Xiaoteng Zhang, Yixin Bao, Feiyun Zhang, Kai Hu, Yicheng Wang, Liang Zhu, Qinzhu He, Yining Lin, Jie Shao and Yao Peng
Qiniu Submission to ActivityNet Challenge 2018
4 pages, 3 figures, CVPR workshop
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we introduce our submissions for the tasks of trimmed activity recognition (Kinetics) and trimmed event recognition (Moments in Time) for Activitynet Challenge 2018. In the two tasks, non-local neural networks and temporal segment networks are implemented as our base models. Multi-modal cues such as RG...
[ { "created": "Tue, 12 Jun 2018 08:42:55 GMT", "version": "v1" } ]
2018-06-13
[ [ "Zhang", "Xiaoteng", "" ], [ "Bao", "Yixin", "" ], [ "Zhang", "Feiyun", "" ], [ "Hu", "Kai", "" ], [ "Wang", "Yicheng", "" ], [ "Zhu", "Liang", "" ], [ "He", "Qinzhu", "" ], [ "Lin", "Yining", ...
In this paper, we introduce our submissions for the tasks of trimmed activity recognition (Kinetics) and trimmed event recognition (Moments in Time) for Activitynet Challenge 2018. In the two tasks, non-local neural networks and temporal segment networks are implemented as our base models. Multi-modal cues such as RGB ...
2205.11507
Quanquan Gu
Dongruo Zhou and Quanquan Gu
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs
33 pages, 1 table
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent studies have shown that episodic reinforcement learning (RL) is not more difficult than contextual bandits, even with a long planning horizon and unknown state transitions. However, these results are limited to either tabular Markov decision processes (MDPs) or computationally inefficient algorithms for linear...
[ { "created": "Mon, 23 May 2022 17:59:18 GMT", "version": "v1" } ]
2022-05-24
[ [ "Zhou", "Dongruo", "" ], [ "Gu", "Quanquan", "" ] ]
Recent studies have shown that episodic reinforcement learning (RL) is not more difficult than contextual bandits, even with a long planning horizon and unknown state transitions. However, these results are limited to either tabular Markov decision processes (MDPs) or computationally inefficient algorithms for linear m...
1001.2860
Djamal Belazzougui
Djamal Belazzougui
Succinct Dictionary Matching With No Slowdown
Corrected typos and other minor errors
null
10.1007/978-3-642-13509-5_9
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of dictionary matching is a classical problem in string matching: given a set S of d strings of total length n characters over an (not necessarily constant) alphabet of size sigma, build a data structure so that we can match in a any text T all occurrences of strings belonging to S. The classical solution...
[ { "created": "Sat, 16 Jan 2010 22:10:57 GMT", "version": "v1" }, { "created": "Sun, 14 Feb 2010 21:06:23 GMT", "version": "v2" } ]
2015-05-18
[ [ "Belazzougui", "Djamal", "" ] ]
The problem of dictionary matching is a classical problem in string matching: given a set S of d strings of total length n characters over an (not necessarily constant) alphabet of size sigma, build a data structure so that we can match in a any text T all occurrences of strings belonging to S. The classical solution f...
1206.6356
Ameya Agaskar
Ameya Agaskar and Yue M. Lu
A Spectral Graph Uncertainty Principle
40 pages, 8 figures
IEEE Trans. Info. Theory 59 (2013) 4338-4356
10.1109/TIT.2013.2252233
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The spectral theory of graphs provides a bridge between classical signal processing and the nascent field of graph signal processing. In this paper, a spectral graph analogy to Heisenberg's celebrated uncertainty principle is developed. Just as the classical result provides a tradeoff between signal localization in t...
[ { "created": "Wed, 27 Jun 2012 18:10:56 GMT", "version": "v1" }, { "created": "Wed, 24 Apr 2013 16:06:51 GMT", "version": "v2" }, { "created": "Thu, 1 Aug 2013 18:18:44 GMT", "version": "v3" } ]
2013-08-02
[ [ "Agaskar", "Ameya", "" ], [ "Lu", "Yue M.", "" ] ]
The spectral theory of graphs provides a bridge between classical signal processing and the nascent field of graph signal processing. In this paper, a spectral graph analogy to Heisenberg's celebrated uncertainty principle is developed. Just as the classical result provides a tradeoff between signal localization in tim...
2203.16859
Se-Hang Cheong
Se-Hang Cheong, Yain-Whar Si
Boundary Node Detection and Unfolding of Complex Non-Convex Ad Hoc Networks
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Complex non-convex ad hoc networks (CNCAH) contain intersecting polygons and edges. In many instances, the layouts of these networks are not entirely convex in shape. In this article, we propose a Kamada-Kawai-based algorithm called W-KK-MS for boundary node detection problems, which is capable of aligning node posit...
[ { "created": "Thu, 31 Mar 2022 07:41:57 GMT", "version": "v1" } ]
2022-04-01
[ [ "Cheong", "Se-Hang", "" ], [ "Si", "Yain-Whar", "" ] ]
Complex non-convex ad hoc networks (CNCAH) contain intersecting polygons and edges. In many instances, the layouts of these networks are not entirely convex in shape. In this article, we propose a Kamada-Kawai-based algorithm called W-KK-MS for boundary node detection problems, which is capable of aligning node positio...
1704.06358
Paul Tupper
Benjamin Goodman, Paul Tupper
Stability and Fluctuations in a Simple Model of Phonetic Category Change
19 pages
null
null
null
cs.CL math.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In spoken languages, speakers divide up the space of phonetic possibilities into different regions, corresponding to different phonemes. We consider a simple exemplar model of how this division of phonetic space varies over time among a population of language users. In the particular model we consider, we show that, ...
[ { "created": "Thu, 20 Apr 2017 22:28:14 GMT", "version": "v1" }, { "created": "Sun, 24 Dec 2017 04:46:08 GMT", "version": "v2" }, { "created": "Fri, 29 Jun 2018 00:23:20 GMT", "version": "v3" } ]
2018-07-02
[ [ "Goodman", "Benjamin", "" ], [ "Tupper", "Paul", "" ] ]
In spoken languages, speakers divide up the space of phonetic possibilities into different regions, corresponding to different phonemes. We consider a simple exemplar model of how this division of phonetic space varies over time among a population of language users. In the particular model we consider, we show that, on...