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1410.7583
Romain Hollanders
Romain Hollanders, Bal\'azs Gerencs\'er, Jean-Charles Delvenne and Rapha\"el M. Jungers
Improved bound on the worst case complexity of Policy Iteration
11 pages, 1 figure, submitted to a journal
null
null
null
cs.CC cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Solving Markov Decision Processes (MDPs) is a recurrent task in engineering. Even though it is known that solutions for minimizing the infinite horizon expected reward can be found in polynomial time using Linear Programming techniques, iterative methods like the Policy Iteration algorithm (PI) remain usually the mos...
[ { "created": "Tue, 28 Oct 2014 11:07:54 GMT", "version": "v1" } ]
2014-10-29
[ [ "Hollanders", "Romain", "" ], [ "Gerencsér", "Balázs", "" ], [ "Delvenne", "Jean-Charles", "" ], [ "Jungers", "Raphaël M.", "" ] ]
Solving Markov Decision Processes (MDPs) is a recurrent task in engineering. Even though it is known that solutions for minimizing the infinite horizon expected reward can be found in polynomial time using Linear Programming techniques, iterative methods like the Policy Iteration algorithm (PI) remain usually the most ...
2303.01504
Shangxi Wu
Shangxi Wu and Qiuyang He and Jian Yu and Jitao Sang
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias
null
null
null
null
cs.LG cs.AI cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the swift advancement of deep learning, state-of-the-art algorithms have been utilized in various social situations. Nonetheless, some algorithms have been discovered to exhibit biases and provide unequal results. The current debiasing methods face challenges such as poor utilization of data or intricate trainin...
[ { "created": "Wed, 1 Mar 2023 12:31:07 GMT", "version": "v1" }, { "created": "Mon, 17 Jun 2024 13:47:55 GMT", "version": "v2" }, { "created": "Mon, 1 Jul 2024 03:33:55 GMT", "version": "v3" } ]
2024-07-02
[ [ "Wu", "Shangxi", "" ], [ "He", "Qiuyang", "" ], [ "Yu", "Jian", "" ], [ "Sang", "Jitao", "" ] ]
With the swift advancement of deep learning, state-of-the-art algorithms have been utilized in various social situations. Nonetheless, some algorithms have been discovered to exhibit biases and provide unequal results. The current debiasing methods face challenges such as poor utilization of data or intricate training ...
1906.03418
Hendrik M\"older
Hendrik M\"older
A Component-Based Approach to Traffic Data Wrangling
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We produce an increasing amount of data. This is positive as it allows us to make better informed decisions if we can base them on a lot of data. However, in many domains the `raw' data that is produced, is not usable for analysis due to unreadable format, errors, noise, inconsistencies or other factors. An example o...
[ { "created": "Sat, 8 Jun 2019 08:41:08 GMT", "version": "v1" } ]
2019-06-11
[ [ "Mölder", "Hendrik", "" ] ]
We produce an increasing amount of data. This is positive as it allows us to make better informed decisions if we can base them on a lot of data. However, in many domains the `raw' data that is produced, is not usable for analysis due to unreadable format, errors, noise, inconsistencies or other factors. An example of ...
0903.4307
Florentina Pintea
Simona Apostol
FISLAB - the Fuzzy Inference Tool-box for SCILAB
null
Ann. Univ. Tibiscus Comp. Sci. Series V (2007), 105-114
null
null
cs.MS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The present study represents "The Fislab package of programs meant to develop the fuzzy regulators in the Scilab environment" in which we present some general issues, usage requirements and the working mode of the Fislab environment. In the second part of the article some features of the Scilab functions from the Fis...
[ { "created": "Wed, 25 Mar 2009 11:42:46 GMT", "version": "v1" } ]
2009-03-26
[ [ "Apostol", "Simona", "" ] ]
The present study represents "The Fislab package of programs meant to develop the fuzzy regulators in the Scilab environment" in which we present some general issues, usage requirements and the working mode of the Fislab environment. In the second part of the article some features of the Scilab functions from the Fisla...
1205.4891
Amit Daniely
Amit Daniely and Nati Linial and Michael Saks
Clustering is difficult only when it does not matter
null
null
null
null
cs.LG cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Numerous papers ask how difficult it is to cluster data. We suggest that the more relevant and interesting question is how difficult it is to cluster data sets {\em that can be clustered well}. More generally, despite the ubiquity and the great importance of clustering, we still do not have a satisfactory mathematica...
[ { "created": "Tue, 22 May 2012 12:25:01 GMT", "version": "v1" } ]
2012-05-23
[ [ "Daniely", "Amit", "" ], [ "Linial", "Nati", "" ], [ "Saks", "Michael", "" ] ]
Numerous papers ask how difficult it is to cluster data. We suggest that the more relevant and interesting question is how difficult it is to cluster data sets {\em that can be clustered well}. More generally, despite the ubiquity and the great importance of clustering, we still do not have a satisfactory mathematical ...
2102.13642
Matthias Bentert
Matthias Bentert, Robert Bredereck, P\'eter Gy\"orgyi, Andrzej Kaczmarczyk, Rolf Niedermeier
A Multivariate Complexity Analysis of the Material Consumption Scheduling Problem
Accepted for publication in The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The NP-hard MATERIAL CONSUMPTION SCHEDULING Problem and closely related problems have been thoroughly studied since the 1980's. Roughly speaking, the problem deals with minimizing the makespan when scheduling jobs that consume non-renewable resources. We focus on the single-machine case without preemption: from time ...
[ { "created": "Fri, 26 Feb 2021 18:40:21 GMT", "version": "v1" }, { "created": "Fri, 12 Mar 2021 18:15:03 GMT", "version": "v2" } ]
2021-03-15
[ [ "Bentert", "Matthias", "" ], [ "Bredereck", "Robert", "" ], [ "Györgyi", "Péter", "" ], [ "Kaczmarczyk", "Andrzej", "" ], [ "Niedermeier", "Rolf", "" ] ]
The NP-hard MATERIAL CONSUMPTION SCHEDULING Problem and closely related problems have been thoroughly studied since the 1980's. Roughly speaking, the problem deals with minimizing the makespan when scheduling jobs that consume non-renewable resources. We focus on the single-machine case without preemption: from time to...
1810.10700
Yuris Mulya Saputra
Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen, and Eryk Dutkiewicz
A Novel Mobile Edge Network Architecture with Joint Caching-Delivering and Horizontal Cooperation
16 pages, 15 figures, submitted to IEEE Transactions on Mobile Computing
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mobile edge caching/computing has been emerging as a promising paradigm to provide new services (e.g., ultra-high rate, ultra-reliable, and/or low-latency communications) in future wireless networks. In this paper, we introduce a novel mobile edge caching network architecture that leverages the optimal joint caching-...
[ { "created": "Thu, 25 Oct 2018 03:03:52 GMT", "version": "v1" }, { "created": "Fri, 7 Jun 2019 03:58:03 GMT", "version": "v2" } ]
2019-06-10
[ [ "Saputra", "Yuris Mulya", "" ], [ "Hoang", "Dinh Thai", "" ], [ "Nguyen", "Diep N.", "" ], [ "Dutkiewicz", "Eryk", "" ] ]
Mobile edge caching/computing has been emerging as a promising paradigm to provide new services (e.g., ultra-high rate, ultra-reliable, and/or low-latency communications) in future wireless networks. In this paper, we introduce a novel mobile edge caching network architecture that leverages the optimal joint caching-de...
1610.09079
Taras Lakoba
Taras I. Lakoba, Zihao Deng
Stability analysis of the numerical Method of characteristics applied to a class of energy-preserving systems. Part I: Periodic boundary conditions
20 pages, 5 figures
null
null
null
cs.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study numerical (in)stability of the Method of characteristics (MoC) applied to a system of non-dissipative hyperbolic partial differential equations (PDEs) with periodic boundary conditions. We consider three different solvers along the characteristics: simple Euler (SE), modified Euler (ME), and Leap-frog (LF). ...
[ { "created": "Fri, 28 Oct 2016 04:29:38 GMT", "version": "v1" }, { "created": "Thu, 27 Jul 2017 18:21:32 GMT", "version": "v2" } ]
2017-07-31
[ [ "Lakoba", "Taras I.", "" ], [ "Deng", "Zihao", "" ] ]
We study numerical (in)stability of the Method of characteristics (MoC) applied to a system of non-dissipative hyperbolic partial differential equations (PDEs) with periodic boundary conditions. We consider three different solvers along the characteristics: simple Euler (SE), modified Euler (ME), and Leap-frog (LF). Th...
2210.10774
Vladimir Fomenko
Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taix\'e, Aljo\v{s}a O\v{s}ep
Learning to Discover and Detect Objects
Accepted to NeurIPS 2022, Homepage: https://vlfom.github.io/RNCDL/
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We tackle the problem of novel class discovery and localization (NCDL). In this setting, we assume a source dataset with supervision for only some object classes. Instances of other classes need to be discovered, classified, and localized automatically based on visual similarity without any human supervision. To tack...
[ { "created": "Wed, 19 Oct 2022 17:59:55 GMT", "version": "v1" }, { "created": "Wed, 30 Nov 2022 07:27:01 GMT", "version": "v2" } ]
2022-12-01
[ [ "Fomenko", "Vladimir", "" ], [ "Elezi", "Ismail", "" ], [ "Ramanan", "Deva", "" ], [ "Leal-Taixé", "Laura", "" ], [ "Ošep", "Aljoša", "" ] ]
We tackle the problem of novel class discovery and localization (NCDL). In this setting, we assume a source dataset with supervision for only some object classes. Instances of other classes need to be discovered, classified, and localized automatically based on visual similarity without any human supervision. To tackle...
2211.00614
Zayne Sprague
Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett
Natural Language Deduction with Incomplete Information
Conference of EMNLP 2022
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A growing body of work studies how to answer a question or verify a claim by generating a natural language "proof": a chain of deductive inferences yielding the answer based on a set of premises. However, these methods can only make sound deductions when they follow from evidence that is given. We propose a new syste...
[ { "created": "Tue, 1 Nov 2022 17:27:55 GMT", "version": "v1" } ]
2022-11-02
[ [ "Sprague", "Zayne", "" ], [ "Bostrom", "Kaj", "" ], [ "Chaudhuri", "Swarat", "" ], [ "Durrett", "Greg", "" ] ]
A growing body of work studies how to answer a question or verify a claim by generating a natural language "proof": a chain of deductive inferences yielding the answer based on a set of premises. However, these methods can only make sound deductions when they follow from evidence that is given. We propose a new system ...
1902.06193
Mohammad Amin Alipour
Soodeh Atefi, Mohammad Amin Alipour
An Automated Testing Framework for Conversational Agents
work in progress
null
null
null
cs.HC cs.CL
http://creativecommons.org/publicdomain/zero/1.0/
Conversational agents are systems with a conversational interface that afford interaction in spoken language. These systems are becoming prevalent and are preferred in various contexts and for many users. Despite their increasing success, the automated testing infrastructure to support the effective and efficient dev...
[ { "created": "Sun, 17 Feb 2019 03:17:03 GMT", "version": "v1" } ]
2019-02-19
[ [ "Atefi", "Soodeh", "" ], [ "Alipour", "Mohammad Amin", "" ] ]
Conversational agents are systems with a conversational interface that afford interaction in spoken language. These systems are becoming prevalent and are preferred in various contexts and for many users. Despite their increasing success, the automated testing infrastructure to support the effective and efficient devel...
2402.11245
Liming Huang
Liming Huang, Yulei Wu, Juan Marcelo Parra-Ullauri, Reza Nejabati, and Dimitra Simeonidou
AI Model Placement for 6G Networks under Epistemic Uncertainty Estimation
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The adoption of Artificial Intelligence (AI) based Virtual Network Functions (VNFs) has witnessed significant growth, posing a critical challenge in orchestrating AI models within next-generation 6G networks. Finding optimal AI model placement is significantly more challenging than placing traditional software-based ...
[ { "created": "Sat, 17 Feb 2024 10:46:21 GMT", "version": "v1" } ]
2024-02-20
[ [ "Huang", "Liming", "" ], [ "Wu", "Yulei", "" ], [ "Parra-Ullauri", "Juan Marcelo", "" ], [ "Nejabati", "Reza", "" ], [ "Simeonidou", "Dimitra", "" ] ]
The adoption of Artificial Intelligence (AI) based Virtual Network Functions (VNFs) has witnessed significant growth, posing a critical challenge in orchestrating AI models within next-generation 6G networks. Finding optimal AI model placement is significantly more challenging than placing traditional software-based VN...
1903.09126
Chaoxu Guo
Chaoxu Guo, Bin Fan, Jie Gu, Qian Zhang, Shiming Xiang, Veronique Prinet, Chunhong Pan
Progressive Sparse Local Attention for Video object detection
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transferring image-based object detectors to the domain of videos remains a challenging problem. Previous efforts mostly exploit optical flow to propagate features across frames, aiming to achieve a good trade-off between accuracy and efficiency. However, introducing an extra model to estimate optical flow can signif...
[ { "created": "Thu, 21 Mar 2019 17:33:22 GMT", "version": "v1" }, { "created": "Mon, 25 Mar 2019 04:09:55 GMT", "version": "v2" }, { "created": "Fri, 16 Aug 2019 13:08:37 GMT", "version": "v3" } ]
2019-08-19
[ [ "Guo", "Chaoxu", "" ], [ "Fan", "Bin", "" ], [ "Gu", "Jie", "" ], [ "Zhang", "Qian", "" ], [ "Xiang", "Shiming", "" ], [ "Prinet", "Veronique", "" ], [ "Pan", "Chunhong", "" ] ]
Transferring image-based object detectors to the domain of videos remains a challenging problem. Previous efforts mostly exploit optical flow to propagate features across frames, aiming to achieve a good trade-off between accuracy and efficiency. However, introducing an extra model to estimate optical flow can signific...
2406.10117
Andrew Thompson
Tameem Adel, Sam Bilson, Mark Levene and Andrew Thompson
Trustworthy Artificial Intelligence in the Context of Metrology
null
In Producing Artificial Intelligent Systems: The roles of Benchmarking, Standardisation and Certification, Studies in Computational Intelligence, edited by M. I. A. Ferreira, 2024, Springer
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
We review research at the National Physical Laboratory (NPL) in the area of trustworthy artificial intelligence (TAI), and more specifically trustworthy machine learning (TML), in the context of metrology, the science of measurement. We describe three broad themes of TAI: technical, socio-technical and social, which ...
[ { "created": "Fri, 14 Jun 2024 15:23:27 GMT", "version": "v1" } ]
2024-06-17
[ [ "Adel", "Tameem", "" ], [ "Bilson", "Sam", "" ], [ "Levene", "Mark", "" ], [ "Thompson", "Andrew", "" ] ]
We review research at the National Physical Laboratory (NPL) in the area of trustworthy artificial intelligence (TAI), and more specifically trustworthy machine learning (TML), in the context of metrology, the science of measurement. We describe three broad themes of TAI: technical, socio-technical and social, which pl...
1812.08255
Jacob Whitehill
Jacob Whitehill and Anand Ramakrishnan
Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automatic machine learning-based detectors of various psychological and social phenomena (e.g., emotion, stress, engagement) have great potential to advance basic science. However, when a detector $d$ is trained to approximate an existing measurement tool (e.g., a questionnaire, observation protocol), then care must ...
[ { "created": "Wed, 19 Dec 2018 21:32:14 GMT", "version": "v1" }, { "created": "Sat, 4 May 2019 17:14:53 GMT", "version": "v2" } ]
2019-05-07
[ [ "Whitehill", "Jacob", "" ], [ "Ramakrishnan", "Anand", "" ] ]
Automatic machine learning-based detectors of various psychological and social phenomena (e.g., emotion, stress, engagement) have great potential to advance basic science. However, when a detector $d$ is trained to approximate an existing measurement tool (e.g., a questionnaire, observation protocol), then care must be...
1108.1593
Cynthia D
Cynthia Dhinakaran, Dhinaharan Nagamalai, Jae Kwang Lee
Multilayer Approach to Defend Phishing Attacks
8 Pages, Journal of Internet Technology (JIT) 2010
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Spam messes up users inbox, consumes resources and spread attacks like DDoS, MiM, phishing etc. Phishing is a byproduct of email and causes financial loss to users and loss of reputation to financial institutions. In this paper we examine the characteristics of phishing and technology used by Phishers. In order to co...
[ { "created": "Mon, 8 Aug 2011 00:33:13 GMT", "version": "v1" } ]
2011-08-09
[ [ "Dhinakaran", "Cynthia", "" ], [ "Nagamalai", "Dhinaharan", "" ], [ "Lee", "Jae Kwang", "" ] ]
Spam messes up users inbox, consumes resources and spread attacks like DDoS, MiM, phishing etc. Phishing is a byproduct of email and causes financial loss to users and loss of reputation to financial institutions. In this paper we examine the characteristics of phishing and technology used by Phishers. In order to coun...
2304.00897
Bertrand Charpentier
Johannes Getzner, Bertrand Charpentier, Stephan G\"unnemann
Accuracy is not the only Metric that matters: Estimating the Energy Consumption of Deep Learning Models
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern machine learning models have started to consume incredible amounts of energy, thus incurring large carbon footprints (Strubell et al., 2019). To address this issue, we have created an energy estimation pipeline1, which allows practitioners to estimate the energy needs of their models in advance, without actual...
[ { "created": "Mon, 3 Apr 2023 11:35:10 GMT", "version": "v1" } ]
2023-04-04
[ [ "Getzner", "Johannes", "" ], [ "Charpentier", "Bertrand", "" ], [ "Günnemann", "Stephan", "" ] ]
Modern machine learning models have started to consume incredible amounts of energy, thus incurring large carbon footprints (Strubell et al., 2019). To address this issue, we have created an energy estimation pipeline1, which allows practitioners to estimate the energy needs of their models in advance, without actually...
2206.01904
Abhijith Sharma Mr
Abhijith Sharma and Apurva Narayan
Soft Adversarial Training Can Retain Natural Accuracy
7 pages, 6 figures
In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART 2022
10.5220/0010871000003116
null
cs.LG cs.AI cs.CR
http://creativecommons.org/licenses/by/4.0/
Adversarial training for neural networks has been in the limelight in recent years. The advancement in neural network architectures over the last decade has led to significant improvement in their performance. It sparked an interest in their deployment for real-time applications. This process initiated the need to un...
[ { "created": "Sat, 4 Jun 2022 04:13:25 GMT", "version": "v1" } ]
2022-06-07
[ [ "Sharma", "Abhijith", "" ], [ "Narayan", "Apurva", "" ] ]
Adversarial training for neural networks has been in the limelight in recent years. The advancement in neural network architectures over the last decade has led to significant improvement in their performance. It sparked an interest in their deployment for real-time applications. This process initiated the need to unde...
2109.01269
Lei Jiang
Farzaneh Zokaee and Lei Jiang
SMART: A Heterogeneous Scratchpad Memory Architecture for Superconductor SFQ-based Systolic CNN Accelerators
accepted by MICRO'21
54th Annual IEEE/ACM International Symposium on Microarchitecture 2021
10.1145/3466752.3480041
null
cs.AR cs.ET
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ultra-fast \& low-power superconductor single-flux-quantum (SFQ)-based CNN systolic accelerators are built to enhance the CNN inference throughput. However, shift-register (SHIFT)-based scratchpad memory (SPM) arrays prevent a SFQ CNN accelerator from exceeding 40\% of its peak throughput, due to the lack of random a...
[ { "created": "Fri, 3 Sep 2021 02:02:48 GMT", "version": "v1" } ]
2021-09-06
[ [ "Zokaee", "Farzaneh", "" ], [ "Jiang", "Lei", "" ] ]
Ultra-fast \& low-power superconductor single-flux-quantum (SFQ)-based CNN systolic accelerators are built to enhance the CNN inference throughput. However, shift-register (SHIFT)-based scratchpad memory (SPM) arrays prevent a SFQ CNN accelerator from exceeding 40\% of its peak throughput, due to the lack of random acc...
2203.12612
Fangjian Lin
Fangjian Lin, Zhanhao Liang, Sitong Wu, Junjun He, Kai Chen, Shengwei Tian
StructToken : Rethinking Semantic Segmentation with Structural Prior
Accept by IEEE TCSVT
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In previous deep-learning-based methods, semantic segmentation has been regarded as a static or dynamic per-pixel classification task, \textit{i.e.,} classify each pixel representation to a specific category. However, these methods only focus on learning better pixel representations or classification kernels while ig...
[ { "created": "Wed, 23 Mar 2022 17:58:31 GMT", "version": "v1" }, { "created": "Sat, 26 Mar 2022 17:24:23 GMT", "version": "v2" }, { "created": "Fri, 1 Apr 2022 16:36:10 GMT", "version": "v3" }, { "created": "Sat, 20 Aug 2022 12:03:11 GMT", "version": "v4" }, { "cr...
2023-04-03
[ [ "Lin", "Fangjian", "" ], [ "Liang", "Zhanhao", "" ], [ "Wu", "Sitong", "" ], [ "He", "Junjun", "" ], [ "Chen", "Kai", "" ], [ "Tian", "Shengwei", "" ] ]
In previous deep-learning-based methods, semantic segmentation has been regarded as a static or dynamic per-pixel classification task, \textit{i.e.,} classify each pixel representation to a specific category. However, these methods only focus on learning better pixel representations or classification kernels while igno...
1104.2293
Camil Demetrescu
Camil Demetrescu, Irene Finocchi, Andrea Ribichini
Reactive Imperative Programming with Dataflow Constraints
null
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dataflow languages provide natural support for specifying constraints between objects in dynamic applications, where programs need to react efficiently to changes of their environment. Researchers have long investigated how to take advantage of dataflow constraints by embedding them into procedural languages. Previou...
[ { "created": "Tue, 12 Apr 2011 18:31:17 GMT", "version": "v1" } ]
2011-04-13
[ [ "Demetrescu", "Camil", "" ], [ "Finocchi", "Irene", "" ], [ "Ribichini", "Andrea", "" ] ]
Dataflow languages provide natural support for specifying constraints between objects in dynamic applications, where programs need to react efficiently to changes of their environment. Researchers have long investigated how to take advantage of dataflow constraints by embedding them into procedural languages. Previous ...
2310.11015
Huazheng Wang
Zichen Wang, Chuanhao Li, Chenyu Song, Lianghui Wang, Quanquan Gu, Huazheng Wang
Pure Exploration in Asynchronous Federated Bandits
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the federated pure exploration problem of multi-armed bandits and linear bandits, where $M$ agents cooperatively identify the best arm via communicating with the central server. To enhance the robustness against latency and unavailability of agents that are common in practice, we propose the first federated ...
[ { "created": "Tue, 17 Oct 2023 06:04:00 GMT", "version": "v1" } ]
2023-10-18
[ [ "Wang", "Zichen", "" ], [ "Li", "Chuanhao", "" ], [ "Song", "Chenyu", "" ], [ "Wang", "Lianghui", "" ], [ "Gu", "Quanquan", "" ], [ "Wang", "Huazheng", "" ] ]
We study the federated pure exploration problem of multi-armed bandits and linear bandits, where $M$ agents cooperatively identify the best arm via communicating with the central server. To enhance the robustness against latency and unavailability of agents that are common in practice, we propose the first federated as...
2312.05626
Somnath Banerjee
Somnath Banerjee, Avik Dutta, Sayan Layek, Amruit Sahoo, Sam Conrad Joyce, Rima Hazra
Redefining Developer Assistance: Through Large Language Models in Software Ecosystem
Under review
null
null
null
cs.SE cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we delve into the advancement of domain-specific Large Language Models (LLMs) with a focus on their application in software development. We introduce DevAssistLlama, a model developed through instruction tuning, to assist developers in processing software-related natural language queries. This model, a...
[ { "created": "Sat, 9 Dec 2023 18:02:37 GMT", "version": "v1" }, { "created": "Sat, 9 Mar 2024 18:34:43 GMT", "version": "v2" }, { "created": "Fri, 15 Mar 2024 18:23:12 GMT", "version": "v3" } ]
2024-03-19
[ [ "Banerjee", "Somnath", "" ], [ "Dutta", "Avik", "" ], [ "Layek", "Sayan", "" ], [ "Sahoo", "Amruit", "" ], [ "Joyce", "Sam Conrad", "" ], [ "Hazra", "Rima", "" ] ]
In this paper, we delve into the advancement of domain-specific Large Language Models (LLMs) with a focus on their application in software development. We introduce DevAssistLlama, a model developed through instruction tuning, to assist developers in processing software-related natural language queries. This model, a v...
2311.09490
Anzheng Tang
Anzheng Tang, Jun-bo Wang, Yijin Pan, Wence Zhang, Yijian Chen, Xiaodan Zhang, Hongkang Yu and Rodrigo C. de Lamare
Joint Visibility Region and Channel Estimation for Extremely Large-scale MIMO Systems
A major revision version has been submitted to IEEE journal
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we investigate the joint visibility region (VR) detection and channel estimation (CE) problem for extremely large-scale multiple-input-multiple-output (XL-MIMO) systems considering both the spherical wavefront effect and spatial non-stationary (SnS) property. Unlike existing SnS CE methods that rely on ...
[ { "created": "Thu, 16 Nov 2023 01:21:56 GMT", "version": "v1" }, { "created": "Sun, 31 Mar 2024 02:11:11 GMT", "version": "v2" } ]
2024-04-02
[ [ "Tang", "Anzheng", "" ], [ "Wang", "Jun-bo", "" ], [ "Pan", "Yijin", "" ], [ "Zhang", "Wence", "" ], [ "Chen", "Yijian", "" ], [ "Zhang", "Xiaodan", "" ], [ "Yu", "Hongkang", "" ], [ "de Lamare", ...
In this work, we investigate the joint visibility region (VR) detection and channel estimation (CE) problem for extremely large-scale multiple-input-multiple-output (XL-MIMO) systems considering both the spherical wavefront effect and spatial non-stationary (SnS) property. Unlike existing SnS CE methods that rely on th...
2104.11059
Shalabh Gupta
Zongyuan Shen, James P. Wilson, Ryan Harvey and Shalabh Gupta
MRRT: Multiple Rapidly-Exploring Random Trees for Fast Online Replanning in Dynamic Environments
null
null
null
null
cs.RO cs.AI cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
This paper presents a novel algorithm, called MRRT, which uses multiple rapidly-exploring random trees for fast online replanning of autonomous vehicles in dynamic environments with moving obstacles. The proposed algorithm is built upon the RRT algorithm with a multi-tree structure. At the beginning, the RRT algorith...
[ { "created": "Thu, 22 Apr 2021 13:41:48 GMT", "version": "v1" } ]
2021-04-23
[ [ "Shen", "Zongyuan", "" ], [ "Wilson", "James P.", "" ], [ "Harvey", "Ryan", "" ], [ "Gupta", "Shalabh", "" ] ]
This paper presents a novel algorithm, called MRRT, which uses multiple rapidly-exploring random trees for fast online replanning of autonomous vehicles in dynamic environments with moving obstacles. The proposed algorithm is built upon the RRT algorithm with a multi-tree structure. At the beginning, the RRT algorithm ...
2312.11451
Yanmin Wu
Yanmin Wu, Qiankun Gao, Renrui Zhang, and Jian Zhang
Language-Assisted 3D Scene Understanding
Technical report, unpublished, 16 pages
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The scale and quality of point cloud datasets constrain the advancement of point cloud learning. Recently, with the development of multi-modal learning, the incorporation of domain-agnostic prior knowledge from other modalities, such as images and text, to assist in point cloud feature learning has been considered a ...
[ { "created": "Mon, 18 Dec 2023 18:54:56 GMT", "version": "v1" }, { "created": "Sun, 31 Dec 2023 07:38:13 GMT", "version": "v2" } ]
2024-01-02
[ [ "Wu", "Yanmin", "" ], [ "Gao", "Qiankun", "" ], [ "Zhang", "Renrui", "" ], [ "Zhang", "Jian", "" ] ]
The scale and quality of point cloud datasets constrain the advancement of point cloud learning. Recently, with the development of multi-modal learning, the incorporation of domain-agnostic prior knowledge from other modalities, such as images and text, to assist in point cloud feature learning has been considered a pr...
2010.02557
Wasi Ahmad
Wasi Uddin Ahmad and Jianfeng Chi and Yuan Tian and Kai-Wei Chang
PolicyQA: A Reading Comprehension Dataset for Privacy Policies
EMNLP Findings 2020 (short paper)
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Privacy policy documents are long and verbose. A question answering (QA) system can assist users in finding the information that is relevant and important to them. Prior studies in this domain frame the QA task as retrieving the most relevant text segment or a list of sentences from the policy document given a questi...
[ { "created": "Tue, 6 Oct 2020 09:04:58 GMT", "version": "v1" } ]
2020-10-07
[ [ "Ahmad", "Wasi Uddin", "" ], [ "Chi", "Jianfeng", "" ], [ "Tian", "Yuan", "" ], [ "Chang", "Kai-Wei", "" ] ]
Privacy policy documents are long and verbose. A question answering (QA) system can assist users in finding the information that is relevant and important to them. Prior studies in this domain frame the QA task as retrieving the most relevant text segment or a list of sentences from the policy document given a question...
2312.12856
Zhecheng Wang
Zhecheng Wang, Rajanie Prabha, Tianyuan Huang, Jiajun Wu, Ram Rajagopal
SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing
Accepted by AAAI 2024
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Remote sensing imagery, despite its broad applications in helping achieve Sustainable Development Goals and tackle climate change, has not yet benefited from the recent advancements of versatile, task-agnostic vision language models (VLMs). A key reason is that the large-scale, semantically diverse image-text dataset...
[ { "created": "Wed, 20 Dec 2023 09:19:48 GMT", "version": "v1" } ]
2023-12-21
[ [ "Wang", "Zhecheng", "" ], [ "Prabha", "Rajanie", "" ], [ "Huang", "Tianyuan", "" ], [ "Wu", "Jiajun", "" ], [ "Rajagopal", "Ram", "" ] ]
Remote sensing imagery, despite its broad applications in helping achieve Sustainable Development Goals and tackle climate change, has not yet benefited from the recent advancements of versatile, task-agnostic vision language models (VLMs). A key reason is that the large-scale, semantically diverse image-text dataset r...
2403.01038
Jiacen Xu
Jiacen Xu, Jack W. Stokes, Geoff McDonald, Xuesong Bai, David Marshall, Siyue Wang, Adith Swaminathan, Zhou Li
AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks
null
null
null
null
cs.CR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models (LLMs) have demonstrated impressive results on natural language tasks, and security researchers are beginning to employ them in both offensive and defensive systems. In cyber-security, there have been multiple research efforts that utilize LLMs focusing on the pre-breach stage of attacks like ph...
[ { "created": "Sat, 2 Mar 2024 00:10:45 GMT", "version": "v1" } ]
2024-03-05
[ [ "Xu", "Jiacen", "" ], [ "Stokes", "Jack W.", "" ], [ "McDonald", "Geoff", "" ], [ "Bai", "Xuesong", "" ], [ "Marshall", "David", "" ], [ "Wang", "Siyue", "" ], [ "Swaminathan", "Adith", "" ], [ "Li"...
Large language models (LLMs) have demonstrated impressive results on natural language tasks, and security researchers are beginning to employ them in both offensive and defensive systems. In cyber-security, there have been multiple research efforts that utilize LLMs focusing on the pre-breach stage of attacks like phis...
2105.02968
Jonas Kohler
Adrian Hoffmann, Claudio Fanconi, Rahul Rade, Jonas Kohler
This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks
null
ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks that yield human interpretable decisions by architectural design have lately become an increasingly popular alternative to post hoc interpretation of traditional black-box models. Among these networks, the arguably most widespread approach is so-called prototype learning, where similarities to le...
[ { "created": "Wed, 5 May 2021 12:28:34 GMT", "version": "v1" }, { "created": "Mon, 10 May 2021 08:48:08 GMT", "version": "v2" }, { "created": "Mon, 21 Jun 2021 10:16:34 GMT", "version": "v3" }, { "created": "Wed, 23 Jun 2021 12:28:10 GMT", "version": "v4" } ]
2021-06-24
[ [ "Hoffmann", "Adrian", "" ], [ "Fanconi", "Claudio", "" ], [ "Rade", "Rahul", "" ], [ "Kohler", "Jonas", "" ] ]
Deep neural networks that yield human interpretable decisions by architectural design have lately become an increasingly popular alternative to post hoc interpretation of traditional black-box models. Among these networks, the arguably most widespread approach is so-called prototype learning, where similarities to lear...
2207.01896
Matti Henning
Matti Henning, Michael Buchholz, Klaus Dietmayer
Situation-Aware Environment Perception for Decentralized Automation Architectures
V2: added DOI to copyright notice
2022 IEEE Intelligent Vehicles Symposium (IV), 2022, pp. 1087-1092
10.1109/IV51971.2022.9827081
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Advances in the field of environment perception for automated agents have resulted in an ongoing increase in generated sensor data. The available computational resources to process these data are bound to become insufficient for real-time applications. Reducing the amount of data to be processed by identifying the mo...
[ { "created": "Tue, 5 Jul 2022 08:51:59 GMT", "version": "v1" }, { "created": "Tue, 26 Jul 2022 06:57:15 GMT", "version": "v2" } ]
2022-07-27
[ [ "Henning", "Matti", "" ], [ "Buchholz", "Michael", "" ], [ "Dietmayer", "Klaus", "" ] ]
Advances in the field of environment perception for automated agents have resulted in an ongoing increase in generated sensor data. The available computational resources to process these data are bound to become insufficient for real-time applications. Reducing the amount of data to be processed by identifying the most...
1710.03025
Himanshu Jain
Himanshu Jain, Archana Praveen Kumar
A Sequential Thinning Algorithm For Multi-Dimensional Binary Patterns
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Thinning is the removal of contour pixels/points of connected components in an image to produce their skeleton with retained connectivity and structural properties. The output requirements of a thinning procedure often vary with application. This paper proposes a sequential algorithm that is very easy to understand a...
[ { "created": "Mon, 9 Oct 2017 10:52:55 GMT", "version": "v1" }, { "created": "Thu, 16 Nov 2017 21:19:29 GMT", "version": "v2" } ]
2017-11-20
[ [ "Jain", "Himanshu", "" ], [ "Kumar", "Archana Praveen", "" ] ]
Thinning is the removal of contour pixels/points of connected components in an image to produce their skeleton with retained connectivity and structural properties. The output requirements of a thinning procedure often vary with application. This paper proposes a sequential algorithm that is very easy to understand and...
0808.1787
Arnab Bhattacharyya
Arnab Bhattacharyya, Elena Grigorescu, Kyomin Jung, Sofya Raskhodnikova, David P. Woodruff
Transitive-Closure Spanners
Extended abstract with appendices
null
null
null
cs.DS cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a directed graph G = (V,E) and an integer k>=1, a k-transitive-closure-spanner (k-TC-spanner) of G is a directed graph H = (V, E_H) that has (1) the same transitive-closure as G and (2) diameter at most k. These spanners were implicitly studied in access control, data structures, and property testing, and prope...
[ { "created": "Wed, 13 Aug 2008 06:44:10 GMT", "version": "v1" } ]
2008-08-14
[ [ "Bhattacharyya", "Arnab", "" ], [ "Grigorescu", "Elena", "" ], [ "Jung", "Kyomin", "" ], [ "Raskhodnikova", "Sofya", "" ], [ "Woodruff", "David P.", "" ] ]
Given a directed graph G = (V,E) and an integer k>=1, a k-transitive-closure-spanner (k-TC-spanner) of G is a directed graph H = (V, E_H) that has (1) the same transitive-closure as G and (2) diameter at most k. These spanners were implicitly studied in access control, data structures, and property testing, and propert...
2403.05773
Jincheng Zhang
Jincheng Zhang, William Ringle, Andrew R. Willis
Unveiling Ancient Maya Settlements Using Aerial LiDAR Image Segmentation
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Manual identification of archaeological features in LiDAR imagery is labor-intensive, costly, and requires archaeological expertise. This paper shows how recent advancements in deep learning (DL) present efficient solutions for accurately segmenting archaeological structures in aerial LiDAR images using the YOLOv8 ne...
[ { "created": "Sat, 9 Mar 2024 02:59:48 GMT", "version": "v1" } ]
2024-03-12
[ [ "Zhang", "Jincheng", "" ], [ "Ringle", "William", "" ], [ "Willis", "Andrew R.", "" ] ]
Manual identification of archaeological features in LiDAR imagery is labor-intensive, costly, and requires archaeological expertise. This paper shows how recent advancements in deep learning (DL) present efficient solutions for accurately segmenting archaeological structures in aerial LiDAR images using the YOLOv8 neur...
1910.07954
Weilin Huang
Linjie Xing and Zhi Tian and Weilin Huang and Matthew R. Scott
Convolutional Character Networks
To appear in ICCV 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent progress has been made on developing a unified framework for joint text detection and recognition in natural images, but existing joint models were mostly built on two-stage framework by involving ROI pooling, which can degrade the performance on recognition task. In this work, we propose convolutional charact...
[ { "created": "Thu, 17 Oct 2019 15:01:00 GMT", "version": "v1" } ]
2019-10-18
[ [ "Xing", "Linjie", "" ], [ "Tian", "Zhi", "" ], [ "Huang", "Weilin", "" ], [ "Scott", "Matthew R.", "" ] ]
Recent progress has been made on developing a unified framework for joint text detection and recognition in natural images, but existing joint models were mostly built on two-stage framework by involving ROI pooling, which can degrade the performance on recognition task. In this work, we propose convolutional character...
1811.01277
Pavel Kus
P. Kus, A. Marek, S. S. Koecher, H.-H. Kowalski, C. Carbogno, Ch. Scheurer, K. Reuter, M. Scheffler, H. Lederer
Optimizations of the Eigensolvers in the ELPA Library
null
Parallel Computing 85, pp 167-177 (2019)
10.1016/j.parco.2019.04.003
null
cs.MS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The solution of (generalized) eigenvalue problems for symmetric or Hermitian matrices is a common subtask of many numerical calculations in electronic structure theory or materials science. Solving the eigenvalue problem can easily amount to a sizeable fraction of the whole numerical calculation. For researchers in t...
[ { "created": "Sat, 3 Nov 2018 20:07:06 GMT", "version": "v1" } ]
2020-01-08
[ [ "Kus", "P.", "" ], [ "Marek", "A.", "" ], [ "Koecher", "S. S.", "" ], [ "Kowalski", "H. -H.", "" ], [ "Carbogno", "C.", "" ], [ "Scheurer", "Ch.", "" ], [ "Reuter", "K.", "" ], [ "Scheffler", "M...
The solution of (generalized) eigenvalue problems for symmetric or Hermitian matrices is a common subtask of many numerical calculations in electronic structure theory or materials science. Solving the eigenvalue problem can easily amount to a sizeable fraction of the whole numerical calculation. For researchers in the...
2311.09537
Wei Huang
Jiajun Lu, Hao Zhang, Pengfei Wu, Sijia Li, Wei Huang
Future Full-Ocean Deep SSPs Prediction based on Hierarchical Long Short-Term Memory Neural Networks
arXiv admin note: text overlap with arXiv:2310.09522
null
null
null
cs.SD eess.AS eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The spatial-temporal distribution of underwater sound velocity affects the propagation mode of underwater acoustic signals. Therefore, rapid estimation and prediction of underwater sound velocity distribution is crucial for providing underwater positioning, navigation and timing (PNT) services. Currently, sound speed...
[ { "created": "Thu, 16 Nov 2023 03:26:47 GMT", "version": "v1" } ]
2023-11-17
[ [ "Lu", "Jiajun", "" ], [ "Zhang", "Hao", "" ], [ "Wu", "Pengfei", "" ], [ "Li", "Sijia", "" ], [ "Huang", "Wei", "" ] ]
The spatial-temporal distribution of underwater sound velocity affects the propagation mode of underwater acoustic signals. Therefore, rapid estimation and prediction of underwater sound velocity distribution is crucial for providing underwater positioning, navigation and timing (PNT) services. Currently, sound speed p...
1803.11186
Unnat Jain
Unnat Jain, Svetlana Lazebnik, Alexander Schwing
Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering
Accepted to CVPR 2018
null
null
null
cs.CV cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human conversation is a complex mechanism with subtle nuances. It is hence an ambitious goal to develop artificial intelligence agents that can participate fluently in a conversation. While we are still far from achieving this goal, recent progress in visual question answering, image captioning, and visual question g...
[ { "created": "Thu, 29 Mar 2018 17:58:43 GMT", "version": "v1" } ]
2018-03-30
[ [ "Jain", "Unnat", "" ], [ "Lazebnik", "Svetlana", "" ], [ "Schwing", "Alexander", "" ] ]
Human conversation is a complex mechanism with subtle nuances. It is hence an ambitious goal to develop artificial intelligence agents that can participate fluently in a conversation. While we are still far from achieving this goal, recent progress in visual question answering, image captioning, and visual question gen...
2305.10837
Yangqin Jiang
Yangqin Jiang and Chao Huang and Lianghao Xia
Adaptive Graph Contrastive Learning for Recommendation
This paper is accepted by KDD'23
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph neural networks (GNNs) have recently emerged as an effective collaborative filtering (CF) approaches for recommender systems. The key idea of GNN-based recommender systems is to recursively perform message passing along user-item interaction edges to refine encoded embeddings, relying on sufficient and high-qua...
[ { "created": "Thu, 18 May 2023 09:34:05 GMT", "version": "v1" }, { "created": "Sat, 8 Jul 2023 08:03:47 GMT", "version": "v2" }, { "created": "Thu, 13 Jul 2023 07:46:15 GMT", "version": "v3" } ]
2023-07-14
[ [ "Jiang", "Yangqin", "" ], [ "Huang", "Chao", "" ], [ "Xia", "Lianghao", "" ] ]
Graph neural networks (GNNs) have recently emerged as an effective collaborative filtering (CF) approaches for recommender systems. The key idea of GNN-based recommender systems is to recursively perform message passing along user-item interaction edges to refine encoded embeddings, relying on sufficient and high-quali...
2403.19840
Teresa Alves
Teresa Alves, Alexandre Bernardino, Plinio Moreno
Pose-free object classification from surface contact features in sequences of Robotic grasps
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we propose two cost efficient methods for object identification, using a multi-fingered robotic hand equipped with proprioceptive sensing. Both methods are trained on known objects and rely on a limited set of features, obtained during a few grasps on an object. Contrary to most methods in the literatur...
[ { "created": "Thu, 28 Mar 2024 21:27:19 GMT", "version": "v1" } ]
2024-04-01
[ [ "Alves", "Teresa", "" ], [ "Bernardino", "Alexandre", "" ], [ "Moreno", "Plinio", "" ] ]
In this work, we propose two cost efficient methods for object identification, using a multi-fingered robotic hand equipped with proprioceptive sensing. Both methods are trained on known objects and rely on a limited set of features, obtained during a few grasps on an object. Contrary to most methods in the literature,...
2302.09899
Adrian Pelaez Vegas
Adrian Pel\'aez-Vegas, Pablo Mesejo and Juli\'an Luengo
A Survey on Semi-Supervised Semantic Segmentation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Semantic segmentation is one of the most challenging tasks in computer vision. However, in many applications, a frequent obstacle is the lack of labeled images, due to the high cost of pixel-level labeling. In this scenario, it makes sense to approach the problem from a semi-supervised point of view, where both label...
[ { "created": "Mon, 20 Feb 2023 10:54:03 GMT", "version": "v1" } ]
2023-02-21
[ [ "Peláez-Vegas", "Adrian", "" ], [ "Mesejo", "Pablo", "" ], [ "Luengo", "Julián", "" ] ]
Semantic segmentation is one of the most challenging tasks in computer vision. However, in many applications, a frequent obstacle is the lack of labeled images, due to the high cost of pixel-level labeling. In this scenario, it makes sense to approach the problem from a semi-supervised point of view, where both labeled...
1808.00758
Bo Yang
Bo Yang, Sen Wang, Andrew Markham, Niki Trigoni
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction
IJCV 2019. Code and data are available at https://github.com/Yang7879/AttSets
null
10.1007/s11263-019-01217-w
null
cs.CV cs.AI cs.LG cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of recovering an underlying 3D shape from a set of images. Existing learning based approaches usually resort to recurrent neural nets, e.g., GRU, or intuitive pooling operations, e.g., max/mean poolings, to fuse multiple deep features encoded from input images. However, GRU based approaches are u...
[ { "created": "Thu, 2 Aug 2018 11:09:13 GMT", "version": "v1" }, { "created": "Sun, 18 Aug 2019 06:32:40 GMT", "version": "v2" } ]
2019-08-20
[ [ "Yang", "Bo", "" ], [ "Wang", "Sen", "" ], [ "Markham", "Andrew", "" ], [ "Trigoni", "Niki", "" ] ]
We study the problem of recovering an underlying 3D shape from a set of images. Existing learning based approaches usually resort to recurrent neural nets, e.g., GRU, or intuitive pooling operations, e.g., max/mean poolings, to fuse multiple deep features encoded from input images. However, GRU based approaches are una...
1603.02347
Zherong Pan
Zherong Pan, Dinesh Manocha
Motion Planning for Fluid Manipulation using Simplified Dynamics
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an optimization-based motion planning algorithm to compute a smooth, collision-free trajectory for a manipulator used to transfer a liquid from a source to a target container. We take into account fluid dynamics constraints as part of trajectory computation. In order to avoid the high complexity of exact f...
[ { "created": "Tue, 8 Mar 2016 00:43:50 GMT", "version": "v1" } ]
2016-03-09
[ [ "Pan", "Zherong", "" ], [ "Manocha", "Dinesh", "" ] ]
We present an optimization-based motion planning algorithm to compute a smooth, collision-free trajectory for a manipulator used to transfer a liquid from a source to a target container. We take into account fluid dynamics constraints as part of trajectory computation. In order to avoid the high complexity of exact flu...
2402.12214
Vidya Setlur
Alexander Bendeck, Dennis Bromley, Vidya Setlur
SlopeSeeker: A Search Tool for Exploring a Dataset of Quantifiable Trends
21 pages, 19 figures. Intelligent User Interfaces (IUI) 2024
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Natural language and search interfaces intuitively facilitate data exploration and provide visualization responses to diverse analytical queries based on the underlying datasets. However, these interfaces often fail to interpret more complex analytical intents, such as discerning subtleties and quantifiable differenc...
[ { "created": "Mon, 19 Feb 2024 15:17:16 GMT", "version": "v1" } ]
2024-02-20
[ [ "Bendeck", "Alexander", "" ], [ "Bromley", "Dennis", "" ], [ "Setlur", "Vidya", "" ] ]
Natural language and search interfaces intuitively facilitate data exploration and provide visualization responses to diverse analytical queries based on the underlying datasets. However, these interfaces often fail to interpret more complex analytical intents, such as discerning subtleties and quantifiable differences...
2009.13165
Gardave Bhumbra
Gardave S Bhumbra
Quantal synaptic dilution enhances sparse encoding and dropout regularisation in deep networks
23 pages, 8 figures, including Appendix
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dropout is a technique that silences the activity of units stochastically while training deep networks to reduce overfitting. Here we introduce Quantal Synaptic Dilution (QSD), a biologically plausible model of dropout regularisation based on the quantal properties of neuronal synapses, that incorporates heterogeneit...
[ { "created": "Mon, 28 Sep 2020 09:29:49 GMT", "version": "v1" } ]
2020-09-29
[ [ "Bhumbra", "Gardave S", "" ] ]
Dropout is a technique that silences the activity of units stochastically while training deep networks to reduce overfitting. Here we introduce Quantal Synaptic Dilution (QSD), a biologically plausible model of dropout regularisation based on the quantal properties of neuronal synapses, that incorporates heterogeneitie...
2105.04637
Hafez Farazi
Hafez Farazi, Jan Nogga, Sven Behnke
Local Frequency Domain Transformer Networks for Video Prediction
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Video prediction is commonly referred to as forecasting future frames of a video sequence provided several past frames thereof. It remains a challenging domain as visual scenes evolve according to complex underlying dynamics, such as the camera's egocentric motion or the distinct motility per individual object viewed...
[ { "created": "Mon, 10 May 2021 19:48:42 GMT", "version": "v1" } ]
2021-05-12
[ [ "Farazi", "Hafez", "" ], [ "Nogga", "Jan", "" ], [ "Behnke", "Sven", "" ] ]
Video prediction is commonly referred to as forecasting future frames of a video sequence provided several past frames thereof. It remains a challenging domain as visual scenes evolve according to complex underlying dynamics, such as the camera's egocentric motion or the distinct motility per individual object viewed. ...
2303.14301
Michael Zellinger
Michael J. Zellinger and Peter B\"uhlmann
repliclust: Synthetic Data for Cluster Analysis
21 pages, 11 figures
null
null
null
cs.LG stat.CO stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present repliclust (from repli-cate and clust-er), a Python package for generating synthetic data sets with clusters. Our approach is based on data set archetypes, high-level geometric descriptions from which the user can create many different data sets, each possessing the desired geometric characteristics. The a...
[ { "created": "Fri, 24 Mar 2023 23:45:27 GMT", "version": "v1" } ]
2023-03-28
[ [ "Zellinger", "Michael J.", "" ], [ "Bühlmann", "Peter", "" ] ]
We present repliclust (from repli-cate and clust-er), a Python package for generating synthetic data sets with clusters. Our approach is based on data set archetypes, high-level geometric descriptions from which the user can create many different data sets, each possessing the desired geometric characteristics. The arc...
1210.0260
Saket Saurabh
Mark Jones, Daniel Lokshtanov, M. S. Ramanujan, Saket Saurabh and Ond\v{r}ej Such\'y
Parameterized Complexity of Directed Steiner Tree on Sparse Graphs
28
null
null
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the parameterized complexity of the directed variant of the classical {\sc Steiner Tree} problem on various classes of directed sparse graphs. While the parameterized complexity of {\sc Steiner Tree} parameterized by the number of terminals is well understood, not much is known about the parameterization by ...
[ { "created": "Mon, 1 Oct 2012 00:04:55 GMT", "version": "v1" } ]
2012-10-02
[ [ "Jones", "Mark", "" ], [ "Lokshtanov", "Daniel", "" ], [ "Ramanujan", "M. S.", "" ], [ "Saurabh", "Saket", "" ], [ "Suchý", "Ondřej", "" ] ]
We study the parameterized complexity of the directed variant of the classical {\sc Steiner Tree} problem on various classes of directed sparse graphs. While the parameterized complexity of {\sc Steiner Tree} parameterized by the number of terminals is well understood, not much is known about the parameterization by th...
1706.01449
Firas Abuzaid
Firas Abuzaid, Geet Sethi, Peter Bailis, Matei Zaharia
To Index or Not to Index: Optimizing Exact Maximum Inner Product Search
12 pages, 8 figures, 2 tables
null
null
null
cs.IR cs.DB cs.DS cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Exact Maximum Inner Product Search (MIPS) is an important task that is widely pertinent to recommender systems and high-dimensional similarity search. The brute-force approach to solving exact MIPS is computationally expensive, thus spurring recent development of novel indexes and pruning techniques for this task. In...
[ { "created": "Mon, 5 Jun 2017 17:56:43 GMT", "version": "v1" }, { "created": "Thu, 2 Aug 2018 22:08:15 GMT", "version": "v2" }, { "created": "Fri, 15 Mar 2019 00:52:25 GMT", "version": "v3" } ]
2019-03-18
[ [ "Abuzaid", "Firas", "" ], [ "Sethi", "Geet", "" ], [ "Bailis", "Peter", "" ], [ "Zaharia", "Matei", "" ] ]
Exact Maximum Inner Product Search (MIPS) is an important task that is widely pertinent to recommender systems and high-dimensional similarity search. The brute-force approach to solving exact MIPS is computationally expensive, thus spurring recent development of novel indexes and pruning techniques for this task. In t...
1807.00673
Tanja Kneiske
Tanja M. Kneiske and Martin Braun
Flexibility potentials of a combined use of heat storages and batteries in PV-CHP hybrid systems
11th International Renewable Energy Storage Conference, IRES 2017, 14-16 March 2017, D\"usseldorf, Germany
Energy Procedia, Volume 135, October 2017, Pages 482-495
10.1016/j.egypro.2017.09.498
null
cs.SY cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the 2012 change in the renewable energy act the feed-in tariffs and as result the number of newly installed photovoltaic systems decreased dramatically in Germany. Therefore, there was the need, particularly, in the residential sector to develop new business ideas for photovoltaic systems. In context of this d...
[ { "created": "Thu, 28 Jun 2018 11:30:26 GMT", "version": "v1" } ]
2018-07-03
[ [ "Kneiske", "Tanja M.", "" ], [ "Braun", "Martin", "" ] ]
Due to the 2012 change in the renewable energy act the feed-in tariffs and as result the number of newly installed photovoltaic systems decreased dramatically in Germany. Therefore, there was the need, particularly, in the residential sector to develop new business ideas for photovoltaic systems. In context of this dev...
1803.03673
Safeeullah Soomro
Safeeullah Soomro, Mohammad Riyaz Belgaum, Zainab Alansari and Mahdi H. Miraz
Fault Localization Models in Debugging
58-62
2017 International Conference on Infocom Technologies and Unmanned Systems (ICTUS'2017)
10.1109/ICTUS.2017.8285974
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Debugging is considered as a rigorous but important feature of software engineering process. Since more than a decade, the software engineering research community is exploring different techniques for removal of faults from programs but it is quite difficult to overcome all the faults of software programs. Thus, it i...
[ { "created": "Tue, 13 Feb 2018 05:06:48 GMT", "version": "v1" } ]
2018-03-13
[ [ "Soomro", "Safeeullah", "" ], [ "Belgaum", "Mohammad Riyaz", "" ], [ "Alansari", "Zainab", "" ], [ "Miraz", "Mahdi H.", "" ] ]
Debugging is considered as a rigorous but important feature of software engineering process. Since more than a decade, the software engineering research community is exploring different techniques for removal of faults from programs but it is quite difficult to overcome all the faults of software programs. Thus, it is ...
2103.06049
Subash Timilsina
Abhish Khanal, Deepak Chand, Prakash Chaudhary, Subash Timilsina, Sanjeeb Prasad Panday, Aman Shakya, Rom Kant Pandey
Search Disaster Victims using Sound Source Localization
9 pages, 17 figures, 17th ISCRAM Conference Blacksburg, VA, USA
Iscram 2020 1022-1030
null
null
cs.SD cs.RO eess.AS
http://creativecommons.org/licenses/by/4.0/
Sound Source Localization (SSL) are used to estimate the position of sound sources. Various methods have been used for detecting sound and its localization. This paper presents a system for stationary sound source localization by cubical microphone array consisting of eight microphones placed on four vertical adjacen...
[ { "created": "Wed, 10 Mar 2021 13:44:36 GMT", "version": "v1" } ]
2021-03-11
[ [ "Khanal", "Abhish", "" ], [ "Chand", "Deepak", "" ], [ "Chaudhary", "Prakash", "" ], [ "Timilsina", "Subash", "" ], [ "Panday", "Sanjeeb Prasad", "" ], [ "Shakya", "Aman", "" ], [ "Pandey", "Rom Kant", "" ...
Sound Source Localization (SSL) are used to estimate the position of sound sources. Various methods have been used for detecting sound and its localization. This paper presents a system for stationary sound source localization by cubical microphone array consisting of eight microphones placed on four vertical adjacent ...
2004.08796
Zhiyu Zhu
Zhiyu Zhu, Zhen-Peng Bian, Junhui Hou, Yi Wang, Lap-Pui Chau
When Residual Learning Meets Dense Aggregation: Rethinking the Aggregation of Deep Neural Networks
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Various architectures (such as GoogLeNets, ResNets, and DenseNets) have been proposed. However, the existing networks usually suffer from either redundancy of convolutional layers or insufficient utilization of parameters. To handle these challenging issues, we propose Micro-Dense Nets, a novel architecture with glob...
[ { "created": "Sun, 19 Apr 2020 08:34:52 GMT", "version": "v1" }, { "created": "Fri, 24 Apr 2020 05:21:07 GMT", "version": "v2" } ]
2020-04-27
[ [ "Zhu", "Zhiyu", "" ], [ "Bian", "Zhen-Peng", "" ], [ "Hou", "Junhui", "" ], [ "Wang", "Yi", "" ], [ "Chau", "Lap-Pui", "" ] ]
Various architectures (such as GoogLeNets, ResNets, and DenseNets) have been proposed. However, the existing networks usually suffer from either redundancy of convolutional layers or insufficient utilization of parameters. To handle these challenging issues, we propose Micro-Dense Nets, a novel architecture with global...
0910.2874
Uwe Aickelin
Feng Gu, Uwe Aickelin, Julie Greensmith
An Agent Based Classification Model
4 pages, 2 figures, 9th European Agent Systems Summer School, Durham, UK
null
null
null
cs.AI cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The major function of this model is to access the UCI Wisconsin Breast Can- cer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classifi cation can be referred as anomaly detection, which discriminates anomalous behaviour from normal behaviour in computer syst...
[ { "created": "Thu, 15 Oct 2009 13:47:02 GMT", "version": "v1" } ]
2010-07-05
[ [ "Gu", "Feng", "" ], [ "Aickelin", "Uwe", "" ], [ "Greensmith", "Julie", "" ] ]
The major function of this model is to access the UCI Wisconsin Breast Can- cer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classifi cation can be referred as anomaly detection, which discriminates anomalous behaviour from normal behaviour in computer system...
2202.08381
Vlad-Cristian Constantin
Vlad-Cristian Constantin, Paul Nikolaus, Jens Schmitt
Improving Performance Bounds for Weighted Round-Robin Schedulers under Constrained Cross-Traffic
Published at IFIP Networking 2022
null
10.23919/IFIPNetworking55013.2022.9829772
null
cs.PF cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Weighted round robin (WRR) is an effective, yet particularly easy-to-implement packet scheduler. A slight modification in the implementation of WRR, interleaved weighted round robin, has been proposed as an enhancement of the initial version and has been recently investigated. Network calculus is a versatile framewor...
[ { "created": "Thu, 17 Feb 2022 00:02:57 GMT", "version": "v1" }, { "created": "Mon, 2 May 2022 19:48:57 GMT", "version": "v2" }, { "created": "Mon, 12 Dec 2022 19:15:08 GMT", "version": "v3" } ]
2022-12-14
[ [ "Constantin", "Vlad-Cristian", "" ], [ "Nikolaus", "Paul", "" ], [ "Schmitt", "Jens", "" ] ]
Weighted round robin (WRR) is an effective, yet particularly easy-to-implement packet scheduler. A slight modification in the implementation of WRR, interleaved weighted round robin, has been proposed as an enhancement of the initial version and has been recently investigated. Network calculus is a versatile framework ...
2003.07467
Dongfang Xu
Dongfang Xu, Xianghao Yu, Yan Sun, Derrick Wing Kwan Ng, Robert Schober
Resource Allocation for IRS-assisted Full-Duplex Cognitive Radio Systems
30 pages, 8 figures, submitted for potential publication
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we investigate the resource allocation design for intelligent reflecting surface (IRS)-assisted full-duplex (FD) cognitive radio systems. In particular, a secondary network employs an FD base station (BS) for serving multiple half-duplex downlink (DL) and uplink (UL) users simultaneously. An IRS is dep...
[ { "created": "Mon, 16 Mar 2020 23:22:25 GMT", "version": "v1" } ]
2020-03-18
[ [ "Xu", "Dongfang", "" ], [ "Yu", "Xianghao", "" ], [ "Sun", "Yan", "" ], [ "Ng", "Derrick Wing Kwan", "" ], [ "Schober", "Robert", "" ] ]
In this paper, we investigate the resource allocation design for intelligent reflecting surface (IRS)-assisted full-duplex (FD) cognitive radio systems. In particular, a secondary network employs an FD base station (BS) for serving multiple half-duplex downlink (DL) and uplink (UL) users simultaneously. An IRS is deplo...
2407.20446
Zaid El Shair
Zaid A. El Shair and Samir A. Rawashdeh
MEVDT: Multi-Modal Event-Based Vehicle Detection and Tracking Dataset
null
null
null
null
cs.CV cs.DB
http://creativecommons.org/licenses/by/4.0/
In this data article, we introduce the Multi-Modal Event-based Vehicle Detection and Tracking (MEVDT) dataset. This dataset provides a synchronized stream of event data and grayscale images of traffic scenes, captured using the Dynamic and Active-Pixel Vision Sensor (DAVIS) 240c hybrid event-based camera. MEVDT compr...
[ { "created": "Mon, 29 Jul 2024 22:57:20 GMT", "version": "v1" } ]
2024-07-31
[ [ "Shair", "Zaid A. El", "" ], [ "Rawashdeh", "Samir A.", "" ] ]
In this data article, we introduce the Multi-Modal Event-based Vehicle Detection and Tracking (MEVDT) dataset. This dataset provides a synchronized stream of event data and grayscale images of traffic scenes, captured using the Dynamic and Active-Pixel Vision Sensor (DAVIS) 240c hybrid event-based camera. MEVDT compris...
1804.04720
Djamal Belazzougui
Djamal Belazzougui and Paolo Boldi and Rasmus Pagh and Sebastiano Vigna
Fast Prefix Search in Little Space, with Applications
Presented at the 18th Annual European Symposium on Algorithms (ESA), Liverpool (UK), September 6-8, 2010
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It has been shown in the indexing literature that there is an essential difference between prefix/range searches on the one hand, and predecessor/rank searches on the other hand, in that the former provably allows faster query resolution. Traditionally, prefix search is solved by data structures that are also diction...
[ { "created": "Thu, 12 Apr 2018 20:35:06 GMT", "version": "v1" } ]
2018-04-16
[ [ "Belazzougui", "Djamal", "" ], [ "Boldi", "Paolo", "" ], [ "Pagh", "Rasmus", "" ], [ "Vigna", "Sebastiano", "" ] ]
It has been shown in the indexing literature that there is an essential difference between prefix/range searches on the one hand, and predecessor/rank searches on the other hand, in that the former provably allows faster query resolution. Traditionally, prefix search is solved by data structures that are also dictionar...
1401.2866
Lutz Bornmann Dr.
Lutz Bornmann, Moritz Stefaner, Felix de Moya Anegon, Ruediger Mutz
What is the effect of country-specific characteristics on the research performance of scientific institutions? Using multi-level statistical models to rank and map universities and research-focused institutions worldwide
null
null
null
null
cs.DL physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bornmann, Stefaner, de Moya Anegon, and Mutz (in press) have introduced a web application (www.excellencemapping.net) which is linked to both academic ranking lists published hitherto (e.g. the Academic Ranking of World Universities) as well as spatial visualization approaches. The web application visualizes institut...
[ { "created": "Mon, 13 Jan 2014 15:12:54 GMT", "version": "v1" }, { "created": "Thu, 6 Mar 2014 13:05:10 GMT", "version": "v2" }, { "created": "Wed, 16 Apr 2014 19:36:16 GMT", "version": "v3" } ]
2014-04-17
[ [ "Bornmann", "Lutz", "" ], [ "Stefaner", "Moritz", "" ], [ "Anegon", "Felix de Moya", "" ], [ "Mutz", "Ruediger", "" ] ]
Bornmann, Stefaner, de Moya Anegon, and Mutz (in press) have introduced a web application (www.excellencemapping.net) which is linked to both academic ranking lists published hitherto (e.g. the Academic Ranking of World Universities) as well as spatial visualization approaches. The web application visualizes institutio...
2308.03516
Dor Katzelnick
Dor Katzelnick, Aditya Pillai, Roy Schwartz, Mohit Singh
An Improved Approximation Algorithm for the Max-$3$-Section Problem
null
null
null
null
cs.DS
http://creativecommons.org/licenses/by-nc-nd/4.0/
We consider the Max-$3$-Section problem, where we are given an undirected graph $ G=(V,E)$ equipped with non-negative edge weights $w :E\rightarrow \mathbb{R}_+$ and the goal is to find a partition of $V$ into three equisized parts while maximizing the total weight of edges crossing between different parts. Max-$3$-S...
[ { "created": "Mon, 7 Aug 2023 12:11:26 GMT", "version": "v1" } ]
2023-08-08
[ [ "Katzelnick", "Dor", "" ], [ "Pillai", "Aditya", "" ], [ "Schwartz", "Roy", "" ], [ "Singh", "Mohit", "" ] ]
We consider the Max-$3$-Section problem, where we are given an undirected graph $ G=(V,E)$ equipped with non-negative edge weights $w :E\rightarrow \mathbb{R}_+$ and the goal is to find a partition of $V$ into three equisized parts while maximizing the total weight of edges crossing between different parts. Max-$3$-Sec...
2103.04912
Christopher Bendkowski
Christopher Bendkowski, Laurent Mennillo, Tao Xu, Mohamed Elsayed, Filip Stojic, Harrison Edwards, Shuailong Zhang, Cindi Morshead, Vijay Pawar, Aaron R. Wheeler, Danail Stoyanov, Michael Shaw
Autonomous object harvesting using synchronized optoelectronic microrobots
7 pages, 5 figures
null
null
null
cs.RO cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Optoelectronic tweezer-driven microrobots (OETdMs) are a versatile micromanipulation technology based on the use of light induced dielectrophoresis to move small dielectric structures (microrobots) across a photoconductive substrate. The microrobots in turn can be used to exert forces on secondary objects and carry o...
[ { "created": "Mon, 8 Mar 2021 17:24:15 GMT", "version": "v1" } ]
2021-03-09
[ [ "Bendkowski", "Christopher", "" ], [ "Mennillo", "Laurent", "" ], [ "Xu", "Tao", "" ], [ "Elsayed", "Mohamed", "" ], [ "Stojic", "Filip", "" ], [ "Edwards", "Harrison", "" ], [ "Zhang", "Shuailong", "" ],...
Optoelectronic tweezer-driven microrobots (OETdMs) are a versatile micromanipulation technology based on the use of light induced dielectrophoresis to move small dielectric structures (microrobots) across a photoconductive substrate. The microrobots in turn can be used to exert forces on secondary objects and carry out...
2402.03970
Guri Zab\"ergja
Guri Zab\"ergja, Arlind Kadra, Josif Grabocka
Tabular Data: Is Attention All You Need?
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Learning has revolutionized the field of AI and led to remarkable achievements in applications involving image and text data. Unfortunately, there is inconclusive evidence on the merits of neural networks for structured tabular data. In this paper, we introduce a large-scale empirical study comparing neural netw...
[ { "created": "Tue, 6 Feb 2024 12:59:02 GMT", "version": "v1" } ]
2024-02-07
[ [ "Zabërgja", "Guri", "" ], [ "Kadra", "Arlind", "" ], [ "Grabocka", "Josif", "" ] ]
Deep Learning has revolutionized the field of AI and led to remarkable achievements in applications involving image and text data. Unfortunately, there is inconclusive evidence on the merits of neural networks for structured tabular data. In this paper, we introduce a large-scale empirical study comparing neural networ...
2307.09728
Ming Tong
Ming Tong, Xuefeng Yan, Yongzhen Wang
Uncertainty-Driven Multi-Scale Feature Fusion Network for Real-time Image Deraining
null
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visual-based measurement systems are frequently affected by rainy weather due to the degradation caused by rain streaks in captured images, and existing imaging devices struggle to address this issue in real-time. While most efforts leverage deep networks for image deraining and have made progress, their large parame...
[ { "created": "Wed, 19 Jul 2023 02:29:57 GMT", "version": "v1" } ]
2023-07-20
[ [ "Tong", "Ming", "" ], [ "Yan", "Xuefeng", "" ], [ "Wang", "Yongzhen", "" ] ]
Visual-based measurement systems are frequently affected by rainy weather due to the degradation caused by rain streaks in captured images, and existing imaging devices struggle to address this issue in real-time. While most efforts leverage deep networks for image deraining and have made progress, their large paramete...
1801.00718
Charles Truong
Charles Truong, Laurent Oudre, Nicolas Vayatis
Selective review of offline change point detection methods
null
Signal Processing, 167:107299, 2020
10.1016/j.sigpro.2019.107299
null
cs.CE stat.CO stat.ME
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article presents a selective survey of algorithms for the offline detection of multiple change points in multivariate time series. A general yet structuring methodological strategy is adopted to organize this vast body of work. More precisely, detection algorithms considered in this review are characterized by t...
[ { "created": "Tue, 2 Jan 2018 16:44:08 GMT", "version": "v1" }, { "created": "Wed, 16 Jan 2019 10:19:28 GMT", "version": "v2" }, { "created": "Thu, 26 Mar 2020 08:54:35 GMT", "version": "v3" } ]
2020-07-14
[ [ "Truong", "Charles", "" ], [ "Oudre", "Laurent", "" ], [ "Vayatis", "Nicolas", "" ] ]
This article presents a selective survey of algorithms for the offline detection of multiple change points in multivariate time series. A general yet structuring methodological strategy is adopted to organize this vast body of work. More precisely, detection algorithms considered in this review are characterized by thr...
1405.6483
Yi Wen tan
Wentan Yi and Shaozhen Chen
Integral Cryptanalysis of the Block Cipher E2
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Block cipher E2, designed and submitted by Nippon Telegraph and Telephone Corporation, is a first-round Advanced Encryption Standard candidate. It employs a Feistel structure as global structure and two-layer substitution-permutation network structure in round function with initial transformation IT function before t...
[ { "created": "Mon, 26 May 2014 07:25:10 GMT", "version": "v1" }, { "created": "Tue, 17 Jun 2014 00:03:22 GMT", "version": "v2" } ]
2014-06-18
[ [ "Yi", "Wentan", "" ], [ "Chen", "Shaozhen", "" ] ]
Block cipher E2, designed and submitted by Nippon Telegraph and Telephone Corporation, is a first-round Advanced Encryption Standard candidate. It employs a Feistel structure as global structure and two-layer substitution-permutation network structure in round function with initial transformation IT function before the...
1811.01338
Ashish Ranjan
Ashish Ranjan, Md Shah Fahad, David Fernandez-Baca, Akshay Deepak and Sudhakar Tripathi
Deep Robust Framework for Protein Function Prediction using Variable-Length Protein Sequences
null
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019
10.1109/TCBB.2019.2911609
null
cs.LG q-bio.BM stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Amino acid sequence portrays most intrinsic form of a protein and expresses primary structure of protein. The order of amino acids in a sequence enables a protein to acquire a particular stable conformation that is responsible for the functions of the protein. This relationship between a sequence and its function mot...
[ { "created": "Sun, 4 Nov 2018 08:49:38 GMT", "version": "v1" }, { "created": "Wed, 19 Jun 2019 08:37:28 GMT", "version": "v2" } ]
2022-08-29
[ [ "Ranjan", "Ashish", "" ], [ "Fahad", "Md Shah", "" ], [ "Fernandez-Baca", "David", "" ], [ "Deepak", "Akshay", "" ], [ "Tripathi", "Sudhakar", "" ] ]
Amino acid sequence portrays most intrinsic form of a protein and expresses primary structure of protein. The order of amino acids in a sequence enables a protein to acquire a particular stable conformation that is responsible for the functions of the protein. This relationship between a sequence and its function motiv...
0803.0378
Kees Middelburg
J. A. Bergstra, C. A. Middelburg
Thread algebra for poly-threading
24 pages, sections 9, 10, and 11 are added
Formal Aspects of Computing, 23(4):567--583, 2011
10.1007/s00165-011-0178-3
PRG0810
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Threads as considered in basic thread algebra are primarily looked upon as behaviours exhibited by sequential programs on execution. It is a fact of life that sequential programs are often fragmented. Consequently, fragmented program behaviours are frequently found. In this paper, we consider this phenomenon. We exte...
[ { "created": "Tue, 4 Mar 2008 07:18:46 GMT", "version": "v1" }, { "created": "Wed, 16 Jul 2008 12:31:50 GMT", "version": "v2" } ]
2011-06-17
[ [ "Bergstra", "J. A.", "" ], [ "Middelburg", "C. A.", "" ] ]
Threads as considered in basic thread algebra are primarily looked upon as behaviours exhibited by sequential programs on execution. It is a fact of life that sequential programs are often fragmented. Consequently, fragmented program behaviours are frequently found. In this paper, we consider this phenomenon. We extend...
1903.05789
Bin Dai
Bin Dai and David Wipf
Diagnosing and Enhancing VAE Models
null
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although variational autoencoders (VAEs) represent a widely influential deep generative model, many aspects of the underlying energy function remain poorly understood. In particular, it is commonly believed that Gaussian encoder/decoder assumptions reduce the effectiveness of VAEs in generating realistic samples. In ...
[ { "created": "Thu, 14 Mar 2019 02:11:17 GMT", "version": "v1" }, { "created": "Wed, 30 Oct 2019 10:53:11 GMT", "version": "v2" } ]
2019-10-31
[ [ "Dai", "Bin", "" ], [ "Wipf", "David", "" ] ]
Although variational autoencoders (VAEs) represent a widely influential deep generative model, many aspects of the underlying energy function remain poorly understood. In particular, it is commonly believed that Gaussian encoder/decoder assumptions reduce the effectiveness of VAEs in generating realistic samples. In th...
2209.15006
Pichao Wang
Benjia Zhou and Pichao Wang and Jun Wan and Yanyan Liang and Fan Wang
Effective Vision Transformer Training: A Data-Centric Perspective
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Vision Transformers (ViTs) have shown promising performance compared with Convolutional Neural Networks (CNNs), but the training of ViTs is much harder than CNNs. In this paper, we define several metrics, including Dynamic Data Proportion (DDP) and Knowledge Assimilation Rate (KAR), to investigate the training proces...
[ { "created": "Thu, 29 Sep 2022 17:59:46 GMT", "version": "v1" } ]
2022-09-30
[ [ "Zhou", "Benjia", "" ], [ "Wang", "Pichao", "" ], [ "Wan", "Jun", "" ], [ "Liang", "Yanyan", "" ], [ "Wang", "Fan", "" ] ]
Vision Transformers (ViTs) have shown promising performance compared with Convolutional Neural Networks (CNNs), but the training of ViTs is much harder than CNNs. In this paper, we define several metrics, including Dynamic Data Proportion (DDP) and Knowledge Assimilation Rate (KAR), to investigate the training process,...
2105.12082
Alireza Ramezani
Eric Sihite, Pravin Dangol, and Alireza Ramezani
Unilateral Ground Contact Force Regulations in Thruster-Assisted Legged Locomotion
7 pages, 10 figures, accepted in IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) 2021
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
In this paper, we study the regulation of the Ground Contact Forces (GRF) in thruster-assisted legged locomotion. We will employ Reference Governors (RGs) for enforcing GRF constraints in Harpy model which is a bipedal robot that is being developed at Northeastern University. Optimization-based methods and whole body...
[ { "created": "Tue, 25 May 2021 17:04:32 GMT", "version": "v1" } ]
2021-05-26
[ [ "Sihite", "Eric", "" ], [ "Dangol", "Pravin", "" ], [ "Ramezani", "Alireza", "" ] ]
In this paper, we study the regulation of the Ground Contact Forces (GRF) in thruster-assisted legged locomotion. We will employ Reference Governors (RGs) for enforcing GRF constraints in Harpy model which is a bipedal robot that is being developed at Northeastern University. Optimization-based methods and whole body c...
2206.14625
Michael Unser
Michael Unser
From Kernel Methods to Neural Networks: A Unifying Variational Formulation
null
null
null
null
cs.LG math.FA math.OC
http://creativecommons.org/licenses/by/4.0/
The minimization of a data-fidelity term and an additive regularization functional gives rise to a powerful framework for supervised learning. In this paper, we present a unifying regularization functional that depends on an operator and on a generic Radon-domain norm. We establish the existence of a minimizer and gi...
[ { "created": "Wed, 29 Jun 2022 13:13:53 GMT", "version": "v1" } ]
2022-06-30
[ [ "Unser", "Michael", "" ] ]
The minimization of a data-fidelity term and an additive regularization functional gives rise to a powerful framework for supervised learning. In this paper, we present a unifying regularization functional that depends on an operator and on a generic Radon-domain norm. We establish the existence of a minimizer and give...
2406.17286
Lipeng Liu
Liu Lipeng, Letian Xu, Jiabei Liu, Haopeng Zhao, Tongzhou Jiang, Tianyao Zheng
Prioritized experience replay-based DDQN for Unmanned Vehicle Path Planning
4 pages, 6 figures, 2024 5th International Conference on Information Science, Parallel and Distributed Systems
null
null
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Path planning module is a key module for autonomous vehicle navigation, which directly affects its operating efficiency and safety. In complex environments with many obstacles, traditional planning algorithms often cannot meet the needs of intelligence, which may lead to problems such as dead zones in unmanned vehicl...
[ { "created": "Tue, 25 Jun 2024 05:29:10 GMT", "version": "v1" } ]
2024-06-26
[ [ "Lipeng", "Liu", "" ], [ "Xu", "Letian", "" ], [ "Liu", "Jiabei", "" ], [ "Zhao", "Haopeng", "" ], [ "Jiang", "Tongzhou", "" ], [ "Zheng", "Tianyao", "" ] ]
Path planning module is a key module for autonomous vehicle navigation, which directly affects its operating efficiency and safety. In complex environments with many obstacles, traditional planning algorithms often cannot meet the needs of intelligence, which may lead to problems such as dead zones in unmanned vehicles...
2307.11352
Byeongchan Kim
Byeongchan Kim, Min-hwan Oh
Model-based Offline Reinforcement Learning with Count-based Conservatism
Accepted in ICML 2023
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by-nc-nd/4.0/
In this paper, we propose a model-based offline reinforcement learning method that integrates count-based conservatism, named $\texttt{Count-MORL}$. Our method utilizes the count estimates of state-action pairs to quantify model estimation error, marking the first algorithm of demonstrating the efficacy of count-base...
[ { "created": "Fri, 21 Jul 2023 04:59:23 GMT", "version": "v1" } ]
2023-07-24
[ [ "Kim", "Byeongchan", "" ], [ "Oh", "Min-hwan", "" ] ]
In this paper, we propose a model-based offline reinforcement learning method that integrates count-based conservatism, named $\texttt{Count-MORL}$. Our method utilizes the count estimates of state-action pairs to quantify model estimation error, marking the first algorithm of demonstrating the efficacy of count-based ...
1201.4442
Alain Gerard
Claudiu-Florinel Bisu (MPS), Alain G\'erard (I2M), Miron Zapciu (MPS), Olivier Cahuc (I2M)
The milling process monitoring using 3D envelope method
null
Journal of Advanced Materials Research 423 (2012) 77-88
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a method to vibration analysis in order to on-line monitoring of milling process quality. Adapting envelope analysis to characterize the milling tool materials is an important contribution to the qualitative and quantitative characterization of milling capacity and a step by modeling the three-dim...
[ { "created": "Sat, 21 Jan 2012 08:02:33 GMT", "version": "v1" } ]
2012-01-24
[ [ "Bisu", "Claudiu-Florinel", "", "MPS" ], [ "Gérard", "Alain", "", "I2M" ], [ "Zapciu", "Miron", "", "MPS" ], [ "Cahuc", "Olivier", "", "I2M" ] ]
This paper proposes a method to vibration analysis in order to on-line monitoring of milling process quality. Adapting envelope analysis to characterize the milling tool materials is an important contribution to the qualitative and quantitative characterization of milling capacity and a step by modeling the three-dimen...
2309.16118
Yixuan Wang
Yixuan Wang, Zhuoran Li, Mingtong Zhang, Katherine Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li
D$^3$Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation
Project Page: https://robopil.github.io/d3fields/
null
null
null
cs.RO cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scene representation has been a crucial design choice in robotic manipulation systems. An ideal representation should be 3D, dynamic, and semantic to meet the demands of diverse manipulation tasks. However, previous works often lack all three properties simultaneously. In this work, we introduce D$^3$Fields - dynamic...
[ { "created": "Thu, 28 Sep 2023 02:50:16 GMT", "version": "v1" }, { "created": "Sun, 8 Oct 2023 21:17:51 GMT", "version": "v2" } ]
2023-10-10
[ [ "Wang", "Yixuan", "" ], [ "Li", "Zhuoran", "" ], [ "Zhang", "Mingtong", "" ], [ "Driggs-Campbell", "Katherine", "" ], [ "Wu", "Jiajun", "" ], [ "Fei-Fei", "Li", "" ], [ "Li", "Yunzhu", "" ] ]
Scene representation has been a crucial design choice in robotic manipulation systems. An ideal representation should be 3D, dynamic, and semantic to meet the demands of diverse manipulation tasks. However, previous works often lack all three properties simultaneously. In this work, we introduce D$^3$Fields - dynamic 3...
1911.01621
Lu Ji
Lu Ji, Zhongyu Wei, Jing Li, Qi Zhang, Xuanjing Huang
Discrete Argument Representation Learning for Interactive Argument Pair Identification
10 pages, 5 figures, 3 tables submitted for consideration of publication to the IEEE Transactions on Audio, Speech, and Language Processing, 2019
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we focus on extracting interactive argument pairs from two posts with opposite stances to a certain topic. Considering opinions are exchanged from different perspectives of the discussing topic, we study the discrete representations for arguments to capture varying aspects in argumentation languages (e...
[ { "created": "Tue, 5 Nov 2019 05:08:08 GMT", "version": "v1" } ]
2019-11-06
[ [ "Ji", "Lu", "" ], [ "Wei", "Zhongyu", "" ], [ "Li", "Jing", "" ], [ "Zhang", "Qi", "" ], [ "Huang", "Xuanjing", "" ] ]
In this paper, we focus on extracting interactive argument pairs from two posts with opposite stances to a certain topic. Considering opinions are exchanged from different perspectives of the discussing topic, we study the discrete representations for arguments to capture varying aspects in argumentation languages (e.g...
2403.15454
Mahdi Rezapour
Mahdi Rezapour
Emotion Detection with Transformers: A Comparative Study
null
null
null
null
cs.CL stat.AP
http://creativecommons.org/publicdomain/zero/1.0/
In this study, we explore the application of transformer-based models for emotion classification on text data. We train and evaluate several pre-trained transformer models, on the Emotion dataset using different variants of transformers. The paper also analyzes some factors that in-fluence the performance of the mode...
[ { "created": "Mon, 18 Mar 2024 23:22:50 GMT", "version": "v1" }, { "created": "Thu, 28 Mar 2024 21:26:39 GMT", "version": "v2" }, { "created": "Fri, 19 Jul 2024 23:10:45 GMT", "version": "v3" }, { "created": "Sat, 27 Jul 2024 17:41:20 GMT", "version": "v4" } ]
2024-07-30
[ [ "Rezapour", "Mahdi", "" ] ]
In this study, we explore the application of transformer-based models for emotion classification on text data. We train and evaluate several pre-trained transformer models, on the Emotion dataset using different variants of transformers. The paper also analyzes some factors that in-fluence the performance of the model,...
1702.01393
Ji\v{r}\'i N\'advorn\'ik
Jiri Nadvornik, Petr Skoda, Dave Morris, Pavel Tvrdik
Time Series Cube Data Model
30 pages, 17 figures
null
null
null
cs.DB astro-ph.IM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The purpose of this document is to create a data model and its serialization for expressing generic time series data. Already existing IVOA data models are reused as much as possible. The model is also made as generic as possible to be open to new extensions but at the same time closed for modifications. This enables...
[ { "created": "Sun, 5 Feb 2017 12:20:52 GMT", "version": "v1" }, { "created": "Thu, 11 Jan 2018 15:00:42 GMT", "version": "v2" } ]
2018-01-12
[ [ "Nadvornik", "Jiri", "" ], [ "Skoda", "Petr", "" ], [ "Morris", "Dave", "" ], [ "Tvrdik", "Pavel", "" ] ]
The purpose of this document is to create a data model and its serialization for expressing generic time series data. Already existing IVOA data models are reused as much as possible. The model is also made as generic as possible to be open to new extensions but at the same time closed for modifications. This enables m...
2402.18905
Shuqi Ke
Shuqi Ke, Charlie Hou, Giulia Fanti, Sewoong Oh
On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune?
null
null
null
null
cs.LG cs.AI cs.CR math.OC
http://creativecommons.org/licenses/by/4.0/
Differentially private (DP) machine learning pipelines typically involve a two-phase process: non-private pre-training on a public dataset, followed by fine-tuning on private data using DP optimization techniques. In the DP setting, it has been observed that full fine-tuning may not always yield the best test accurac...
[ { "created": "Thu, 29 Feb 2024 07:01:48 GMT", "version": "v1" } ]
2024-03-01
[ [ "Ke", "Shuqi", "" ], [ "Hou", "Charlie", "" ], [ "Fanti", "Giulia", "" ], [ "Oh", "Sewoong", "" ] ]
Differentially private (DP) machine learning pipelines typically involve a two-phase process: non-private pre-training on a public dataset, followed by fine-tuning on private data using DP optimization techniques. In the DP setting, it has been observed that full fine-tuning may not always yield the best test accuracy,...
1712.10073
Per Ola Kristensson
Emli-Mari Nel, Per Ola Kristensson, David J.C. MacKay
Modelling Noise-Resilient Single-Switch Scanning Systems
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Single-switch scanning systems allow nonspeaking individuals with motor disabilities to communicate by triggering a single switch (e.g., raising an eye brow). A problem with current single-switch scanning systems is that while they result in reasonable performance in noiseless conditions, for instance via simulation ...
[ { "created": "Thu, 28 Dec 2017 22:35:49 GMT", "version": "v1" } ]
2018-01-01
[ [ "Nel", "Emli-Mari", "" ], [ "Kristensson", "Per Ola", "" ], [ "MacKay", "David J. C.", "" ] ]
Single-switch scanning systems allow nonspeaking individuals with motor disabilities to communicate by triggering a single switch (e.g., raising an eye brow). A problem with current single-switch scanning systems is that while they result in reasonable performance in noiseless conditions, for instance via simulation or...
2108.01309
Motasem Alsawadi
Motasem S. Alsawadi and Miguel Rio
Skeleton Split Strategies for Spatial Temporal Graph Convolution Networks
8 pages, 7 figures
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A skeleton representation of the human body has been proven to be effective for this task. The skeletons are presented in graphs form-like. However, the topology of a graph is not structured like Euclidean-based data. Therefore, a new set of methods to perform the convolution operation upon the skeleton graph is pres...
[ { "created": "Tue, 3 Aug 2021 05:57:52 GMT", "version": "v1" } ]
2021-08-04
[ [ "Alsawadi", "Motasem S.", "" ], [ "Rio", "Miguel", "" ] ]
A skeleton representation of the human body has been proven to be effective for this task. The skeletons are presented in graphs form-like. However, the topology of a graph is not structured like Euclidean-based data. Therefore, a new set of methods to perform the convolution operation upon the skeleton graph is presen...
2303.12306
Haiquan Qiu
Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao
Understanding Expressivity of GNN in Rule Learning
24 pages, 6 figures
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Rule learning is critical to improving knowledge graph (KG) reasoning due to their ability to provide logical and interpretable explanations. Recently, Graph Neural Networks (GNNs) with tail entity scoring achieve the state-of-the-art performance on KG reasoning. However, the theoretical understandings for these GNNs...
[ { "created": "Wed, 22 Mar 2023 04:49:00 GMT", "version": "v1" }, { "created": "Wed, 10 Apr 2024 02:32:52 GMT", "version": "v2" } ]
2024-04-11
[ [ "Qiu", "Haiquan", "" ], [ "Zhang", "Yongqi", "" ], [ "Li", "Yong", "" ], [ "Yao", "Quanming", "" ] ]
Rule learning is critical to improving knowledge graph (KG) reasoning due to their ability to provide logical and interpretable explanations. Recently, Graph Neural Networks (GNNs) with tail entity scoring achieve the state-of-the-art performance on KG reasoning. However, the theoretical understandings for these GNNs a...
1302.1563
Scott B. Morris
Scott B. Morris, Doug Cork, Richard E. Neapolitan
The Cognitive Processing of Causal Knowledge
Appears in Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI1997)
null
null
UAI-P-1997-PG-384-391
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There is a brief description of the probabilistic causal graph model for representing, reasoning with, and learning causal structure using Bayesian networks. It is then argued that this model is closely related to how humans reason with and learn causal structure. It is shown that studies in psychology on discounting...
[ { "created": "Wed, 6 Feb 2013 15:58:35 GMT", "version": "v1" } ]
2013-02-08
[ [ "Morris", "Scott B.", "" ], [ "Cork", "Doug", "" ], [ "Neapolitan", "Richard E.", "" ] ]
There is a brief description of the probabilistic causal graph model for representing, reasoning with, and learning causal structure using Bayesian networks. It is then argued that this model is closely related to how humans reason with and learn causal structure. It is shown that studies in psychology on discounting (...
1412.6133
Yuan-Hsun Lo
Yuan-Hsun Lo, Wing Shing Wong and Hung-Lin Fu
Partially user-irrepressible sequence sets and conflict-avoiding codes
13 pages, 4 figures, 3 tables. Published in Designs, Codes and Cryptography
Des. Codes Cryptogr. (2016) 78:679-691
10.1007/s10623-014-0024-8
null
cs.IT math.CO math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we give a partial shift version of user-irrepressible sequence sets and conflict-avoiding codes. By means of disjoint difference sets, we obtain an infinite number of such user-irrepressible sequence sets whose lengths are shorter than known results in general. Subsequently, the newly defined partially ...
[ { "created": "Tue, 11 Nov 2014 04:30:01 GMT", "version": "v1" }, { "created": "Sun, 15 May 2016 07:05:05 GMT", "version": "v2" } ]
2016-05-17
[ [ "Lo", "Yuan-Hsun", "" ], [ "Wong", "Wing Shing", "" ], [ "Fu", "Hung-Lin", "" ] ]
In this paper we give a partial shift version of user-irrepressible sequence sets and conflict-avoiding codes. By means of disjoint difference sets, we obtain an infinite number of such user-irrepressible sequence sets whose lengths are shorter than known results in general. Subsequently, the newly defined partially co...
2404.19622
Shivam Mehta
Shivam Mehta, Anna Deichler, Jim O'Regan, Birger Mo\"ell, Jonas Beskow, Gustav Eje Henter, Simon Alexanderson
Fake it to make it: Using synthetic data to remedy the data shortage in joint multimodal speech-and-gesture synthesis
13+1 pages, 2 figures, accepted at the Human Motion Generation workshop (HuMoGen) at CVPR 2024
null
null
null
cs.HC cs.CV cs.GR cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although humans engaged in face-to-face conversation simultaneously communicate both verbally and non-verbally, methods for joint and unified synthesis of speech audio and co-speech 3D gesture motion from text are a new and emerging field. These technologies hold great promise for more human-like, efficient, expressi...
[ { "created": "Tue, 30 Apr 2024 15:22:19 GMT", "version": "v1" } ]
2024-05-01
[ [ "Mehta", "Shivam", "" ], [ "Deichler", "Anna", "" ], [ "O'Regan", "Jim", "" ], [ "Moëll", "Birger", "" ], [ "Beskow", "Jonas", "" ], [ "Henter", "Gustav Eje", "" ], [ "Alexanderson", "Simon", "" ] ]
Although humans engaged in face-to-face conversation simultaneously communicate both verbally and non-verbally, methods for joint and unified synthesis of speech audio and co-speech 3D gesture motion from text are a new and emerging field. These technologies hold great promise for more human-like, efficient, expressive...
1703.06255
Henry Corrigan-Gibbs
Henry Corrigan-Gibbs and Dan Boneh
Prio: Private, Robust, and Scalable Computation of Aggregate Statistics
Extended version of NSDI 2017 paper by the same name
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents Prio, a privacy-preserving system for the collection of aggregate statistics. Each Prio client holds a private data value (e.g., its current location), and a small set of servers compute statistical functions over the values of all clients (e.g., the most popular location). As long as at least one...
[ { "created": "Sat, 18 Mar 2017 04:52:28 GMT", "version": "v1" } ]
2017-03-21
[ [ "Corrigan-Gibbs", "Henry", "" ], [ "Boneh", "Dan", "" ] ]
This paper presents Prio, a privacy-preserving system for the collection of aggregate statistics. Each Prio client holds a private data value (e.g., its current location), and a small set of servers compute statistical functions over the values of all clients (e.g., the most popular location). As long as at least one s...
1201.1377
Chinmoy Dutta
Chinmoy Dutta and Jaikumar Radhakrishnan
On Zarankiewicz Problem and Depth-Two Superconcentrators
null
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show tight necessary and sufficient conditions on the sizes of small bipartite graphs whose union is a larger bipartite graph that has no large bipartite independent set. Our main result is a common generalization of two classical results in graph theory: the theorem of K\H{o}v\'{a}ri, S\'{o}s and Tur\'{a}n on the...
[ { "created": "Fri, 6 Jan 2012 09:15:07 GMT", "version": "v1" }, { "created": "Sun, 1 Mar 2015 23:03:32 GMT", "version": "v2" } ]
2015-03-03
[ [ "Dutta", "Chinmoy", "" ], [ "Radhakrishnan", "Jaikumar", "" ] ]
We show tight necessary and sufficient conditions on the sizes of small bipartite graphs whose union is a larger bipartite graph that has no large bipartite independent set. Our main result is a common generalization of two classical results in graph theory: the theorem of K\H{o}v\'{a}ri, S\'{o}s and Tur\'{a}n on the m...
2202.05594
Benedek Rozemberczki
Benedek Rozemberczki, Lauren Watson, P\'eter Bayer, Hao-Tsung Yang, Oliv\'er Kiss, Sebastian Nilsson, Rik Sarkar
The Shapley Value in Machine Learning
https://github.com/AstraZeneca/awesome-shapley-value
null
null
null
cs.LG cs.AI cs.GT
http://creativecommons.org/licenses/by/4.0/
Over the last few years, the Shapley value, a solution concept from cooperative game theory, has found numerous applications in machine learning. In this paper, we first discuss fundamental concepts of cooperative game theory and axiomatic properties of the Shapley value. Then we give an overview of the most importan...
[ { "created": "Fri, 11 Feb 2022 13:25:11 GMT", "version": "v1" }, { "created": "Thu, 26 May 2022 14:41:37 GMT", "version": "v2" } ]
2022-05-27
[ [ "Rozemberczki", "Benedek", "" ], [ "Watson", "Lauren", "" ], [ "Bayer", "Péter", "" ], [ "Yang", "Hao-Tsung", "" ], [ "Kiss", "Olivér", "" ], [ "Nilsson", "Sebastian", "" ], [ "Sarkar", "Rik", "" ] ]
Over the last few years, the Shapley value, a solution concept from cooperative game theory, has found numerous applications in machine learning. In this paper, we first discuss fundamental concepts of cooperative game theory and axiomatic properties of the Shapley value. Then we give an overview of the most important ...
1208.0811
Guanhong Pei
Guanhong Pei and Anil Kumar S. Vullikanti
Efficient Algorithms for Maximum Link Scheduling in Distributed Computing Models with SINR Constraints
null
null
null
null
cs.DC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A fundamental problem in wireless networks is the maximum link scheduling problem: given a set $L$ of links, compute the largest possible subset $L'\subseteq L$ of links that can be scheduled simultaneously without interference. This problem is particularly challenging in the physical interference model based on SINR...
[ { "created": "Fri, 3 Aug 2012 18:26:06 GMT", "version": "v1" }, { "created": "Fri, 16 Nov 2012 15:46:26 GMT", "version": "v2" } ]
2012-11-19
[ [ "Pei", "Guanhong", "" ], [ "Vullikanti", "Anil Kumar S.", "" ] ]
A fundamental problem in wireless networks is the maximum link scheduling problem: given a set $L$ of links, compute the largest possible subset $L'\subseteq L$ of links that can be scheduled simultaneously without interference. This problem is particularly challenging in the physical interference model based on SINR c...
2106.12920
Mandeep Rathee
Mandeep Rathee, Zijian Zhang, Thorben Funke, Megha Khosla, and Avishek Anand
Learnt Sparsification for Interpretable Graph Neural Networks
17 pages, 5 figures, 2 tables
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Graph neural networks (GNNs) have achieved great success on various tasks and fields that require relational modeling. GNNs aggregate node features using the graph structure as inductive biases resulting in flexible and powerful models. However, GNNs remain hard to interpret as the interplay between node features and...
[ { "created": "Wed, 23 Jun 2021 16:04:25 GMT", "version": "v1" } ]
2021-06-25
[ [ "Rathee", "Mandeep", "" ], [ "Zhang", "Zijian", "" ], [ "Funke", "Thorben", "" ], [ "Khosla", "Megha", "" ], [ "Anand", "Avishek", "" ] ]
Graph neural networks (GNNs) have achieved great success on various tasks and fields that require relational modeling. GNNs aggregate node features using the graph structure as inductive biases resulting in flexible and powerful models. However, GNNs remain hard to interpret as the interplay between node features and g...
2405.15250
Hiromu Yakura
Riku Arakawa, Hiromu Yakura
Coaching Copilot: Blended Form of an LLM-Powered Chatbot and a Human Coach to Effectively Support Self-Reflection for Leadership Growth
Accepted by the International ACM Conversational User Interfaces Conference (CUI '24)
null
10.1145/3640794.3665549
null
cs.HC cs.AI
http://creativecommons.org/licenses/by/4.0/
Chatbots' role in fostering self-reflection is now widely recognized, especially in inducing users' behavior change. While the benefits of 24/7 availability, scalability, and consistent responses have been demonstrated in contexts such as healthcare and tutoring to help one form a new habit, their utilization in coac...
[ { "created": "Fri, 24 May 2024 06:20:56 GMT", "version": "v1" } ]
2024-05-27
[ [ "Arakawa", "Riku", "" ], [ "Yakura", "Hiromu", "" ] ]
Chatbots' role in fostering self-reflection is now widely recognized, especially in inducing users' behavior change. While the benefits of 24/7 availability, scalability, and consistent responses have been demonstrated in contexts such as healthcare and tutoring to help one form a new habit, their utilization in coachi...
1403.1866
Daniel Fett
Daniel Fett, Ralf Kuesters, and Guido Schmitz
An Expressive Model for the Web Infrastructure: Definition and Application to the BrowserID SSO System
An abridged version appears in S&P 2014
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The web constitutes a complex infrastructure and as demonstrated by numerous attacks, rigorous analysis of standards and web applications is indispensable. Inspired by successful prior work, in particular the work by Akhawe et al. as well as Bansal et al., in this work we propose a formal model for the web infrastr...
[ { "created": "Fri, 7 Mar 2014 20:53:25 GMT", "version": "v1" }, { "created": "Mon, 7 Apr 2014 18:10:04 GMT", "version": "v2" } ]
2019-01-31
[ [ "Fett", "Daniel", "" ], [ "Kuesters", "Ralf", "" ], [ "Schmitz", "Guido", "" ] ]
The web constitutes a complex infrastructure and as demonstrated by numerous attacks, rigorous analysis of standards and web applications is indispensable. Inspired by successful prior work, in particular the work by Akhawe et al. as well as Bansal et al., in this work we propose a formal model for the web infrastructu...
1604.06245
Cl\'audio Vasconcelos
Cl\'audio Vasconcelos and Ant\'onio Ravara
A Revision of the Mool Language
34 pages, 15 figures, 11 listings
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present here in a thorough analysis of the Mool language, covering not only its implementation but also the formalisation (syntax, operational semantics, and type system). The objective is to detect glitches in both the implementation and in the formal definitions, proposing as well new features and added expressi...
[ { "created": "Thu, 21 Apr 2016 10:24:17 GMT", "version": "v1" }, { "created": "Fri, 1 Jul 2016 13:02:42 GMT", "version": "v2" }, { "created": "Mon, 4 Jul 2016 09:44:49 GMT", "version": "v3" }, { "created": "Thu, 22 Sep 2016 10:15:47 GMT", "version": "v4" } ]
2016-09-23
[ [ "Vasconcelos", "Cláudio", "" ], [ "Ravara", "António", "" ] ]
We present here in a thorough analysis of the Mool language, covering not only its implementation but also the formalisation (syntax, operational semantics, and type system). The objective is to detect glitches in both the implementation and in the formal definitions, proposing as well new features and added expressive...
2104.11153
Felix Schoeller
Felix Schoeller, Mark Miller, Roy Salomon, Karl J. Friston
Trust as Extended Control: Active Inference and User Feedback During Human-Robot Collaboration
null
null
null
null
cs.RO cs.AI cs.CY cs.HC
http://creativecommons.org/licenses/by/4.0/
To interact seamlessly with robots, users must infer the causes of a robot's behavior and be confident about that inference. Hence, trust is a necessary condition for human-robot collaboration (HRC). Despite its crucial role, it is largely unknown how trust emerges, develops, and supports human interactions with nonh...
[ { "created": "Thu, 22 Apr 2021 16:11:22 GMT", "version": "v1" } ]
2021-04-23
[ [ "Schoeller", "Felix", "" ], [ "Miller", "Mark", "" ], [ "Salomon", "Roy", "" ], [ "Friston", "Karl J.", "" ] ]
To interact seamlessly with robots, users must infer the causes of a robot's behavior and be confident about that inference. Hence, trust is a necessary condition for human-robot collaboration (HRC). Despite its crucial role, it is largely unknown how trust emerges, develops, and supports human interactions with nonhum...
1703.07698
Morteza Ashraphijuo
Morteza Ashraphijuo, Xiaodong Wang
Characterization of Deterministic and Probabilistic Sampling Patterns for Finite Completability of Low Tensor-Train Rank Tensor
arXiv admin note: text overlap with arXiv:1612.01597
null
null
null
cs.LG cs.IT math.AG math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we analyze the fundamental conditions for low-rank tensor completion given the separation or tensor-train (TT) rank, i.e., ranks of unfoldings. We exploit the algebraic structure of the TT decomposition to obtain the deterministic necessary and sufficient conditions on the locations of the samples to e...
[ { "created": "Wed, 22 Mar 2017 15:11:55 GMT", "version": "v1" } ]
2017-03-23
[ [ "Ashraphijuo", "Morteza", "" ], [ "Wang", "Xiaodong", "" ] ]
In this paper, we analyze the fundamental conditions for low-rank tensor completion given the separation or tensor-train (TT) rank, i.e., ranks of unfoldings. We exploit the algebraic structure of the TT decomposition to obtain the deterministic necessary and sufficient conditions on the locations of the samples to ens...
2205.13904
Edson Egashira
Edson Nobuyuki Egashira, Diana Pamela Moya Osorio, Nhan Thanh Nguyen, and Markku Juntti
Secrecy Capacity Maximization for a Hybrid Relay-RIS Scheme in mmWave MIMO Networks
null
null
null
null
cs.IT cs.ET math.IT
http://creativecommons.org/licenses/by/4.0/
The hybrid relay-reflecting intelligent surface (HR-RIS) has been recently introduced as an efficient solution to overcome the double path loss and limited beamforming diversity of the conventional fully passive reflecting surface. This motivates us to investigate the application of the HR-RIS in improving the secrec...
[ { "created": "Fri, 27 May 2022 11:17:44 GMT", "version": "v1" } ]
2022-05-30
[ [ "Egashira", "Edson Nobuyuki", "" ], [ "Osorio", "Diana Pamela Moya", "" ], [ "Nguyen", "Nhan Thanh", "" ], [ "Juntti", "Markku", "" ] ]
The hybrid relay-reflecting intelligent surface (HR-RIS) has been recently introduced as an efficient solution to overcome the double path loss and limited beamforming diversity of the conventional fully passive reflecting surface. This motivates us to investigate the application of the HR-RIS in improving the secrecy ...
1607.04256
Birendra Chalise
Chalise Birendra
Android Permission Model
8 pages, 5 figure
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recent evolution on the smart phone technology has made its application market huge and less secure. Every single day large number of apps introduced in the android market (mostly on google play store) without any particular inspections which creates a lot of security issues and they remain unresolved. There are ...
[ { "created": "Thu, 14 Jul 2016 19:31:10 GMT", "version": "v1" }, { "created": "Fri, 15 Jul 2016 13:16:36 GMT", "version": "v2" } ]
2016-07-18
[ [ "Birendra", "Chalise", "" ] ]
The recent evolution on the smart phone technology has made its application market huge and less secure. Every single day large number of apps introduced in the android market (mostly on google play store) without any particular inspections which creates a lot of security issues and they remain unresolved. There are a ...
1805.03766
Antoine Bosselut
Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi
Discourse-Aware Neural Rewards for Coherent Text Generation
NAACL 2018
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we investigate the use of discourse-aware rewards with reinforcement learning to guide a model to generate long, coherent text. In particular, we propose to learn neural rewards to model cross-sentence ordering as a means to approximate desired discourse structure. Empirical results demonstrate that a ...
[ { "created": "Thu, 10 May 2018 00:51:06 GMT", "version": "v1" } ]
2018-05-11
[ [ "Bosselut", "Antoine", "" ], [ "Celikyilmaz", "Asli", "" ], [ "He", "Xiaodong", "" ], [ "Gao", "Jianfeng", "" ], [ "Huang", "Po-Sen", "" ], [ "Choi", "Yejin", "" ] ]
In this paper, we investigate the use of discourse-aware rewards with reinforcement learning to guide a model to generate long, coherent text. In particular, we propose to learn neural rewards to model cross-sentence ordering as a means to approximate desired discourse structure. Empirical results demonstrate that a ge...
1710.08337
Mehdi Samiee
Mehdi Samiee, Mohsen Zayernouri, Mark M. Meerschaert
A Unified Spectral Method for FPDEs with Two-sided Derivatives; Stability, and Error Analysis
null
null
10.1016/j.jcp.2018.07.041
null
cs.CE math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the stability and error analysis of the unified Petrov-Galerkin spectral method, developed in \cite{samiee2017Unified}, for linear fractional partial differential equations with two-sided derivatives and constant coefficients in any ($1+d$)-dimensional space-time hypercube, $d = 1, 2, 3, \cdots$, subject t...
[ { "created": "Sun, 15 Oct 2017 21:27:18 GMT", "version": "v1" } ]
2019-09-24
[ [ "Samiee", "Mehdi", "" ], [ "Zayernouri", "Mohsen", "" ], [ "Meerschaert", "Mark M.", "" ] ]
We present the stability and error analysis of the unified Petrov-Galerkin spectral method, developed in \cite{samiee2017Unified}, for linear fractional partial differential equations with two-sided derivatives and constant coefficients in any ($1+d$)-dimensional space-time hypercube, $d = 1, 2, 3, \cdots$, subject to ...
2007.08695
Oussama Smimite
Oussama Smimite and Karim Afdel
Containers Placement and Migration on Cloud System
10 pages , 16 figures
International Journal of Computer Applications 176(35):9-18, July 2020
10.5120/ijca2020920493
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Currently, many businesses are using cloud computing to obtain an entire IT infrastructure remotely while delegating its management to a third party. The provider of this architecture ensures the operation and maintenance of the services while offering management capabilities via web consoles.These providers offer so...
[ { "created": "Thu, 16 Jul 2020 23:59:30 GMT", "version": "v1" } ]
2020-07-20
[ [ "Smimite", "Oussama", "" ], [ "Afdel", "Karim", "" ] ]
Currently, many businesses are using cloud computing to obtain an entire IT infrastructure remotely while delegating its management to a third party. The provider of this architecture ensures the operation and maintenance of the services while offering management capabilities via web consoles.These providers offer solu...