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2102.11646
Niv Nayman
Niv Nayman, Yonathan Aflalo, Asaf Noy, Lihi Zelnik-Manor
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
Niv Nayman and Yonathan Aflalo contributed equally. An implementation of HardCoRe-NAS is available at: https://github.com/Alibaba-MIIL/HardCoReNAS
null
null
null
cs.LG cs.AI cs.CV math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Realistic use of neural networks often requires adhering to multiple constraints on latency, energy and memory among others. A popular approach to find fitting networks is through constrained Neural Architecture Search (NAS), however, previous methods enforce the constraint only softly. Therefore, the resulting netwo...
[ { "created": "Tue, 23 Feb 2021 11:56:30 GMT", "version": "v1" } ]
2021-02-24
[ [ "Nayman", "Niv", "" ], [ "Aflalo", "Yonathan", "" ], [ "Noy", "Asaf", "" ], [ "Zelnik-Manor", "Lihi", "" ] ]
Realistic use of neural networks often requires adhering to multiple constraints on latency, energy and memory among others. A popular approach to find fitting networks is through constrained Neural Architecture Search (NAS), however, previous methods enforce the constraint only softly. Therefore, the resulting network...
2310.03579
Trang Nguyen
Trang Nguyen, Alexander Tong, Kanika Madan, Yoshua Bengio and Dianbo Liu
Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems
null
null
null
null
cs.AI q-bio.MN
http://creativecommons.org/licenses/by/4.0/
Understanding causal relationships within Gene Regulatory Networks (GRNs) is essential for unraveling the gene interactions in cellular processes. However, causal discovery in GRNs is a challenging problem for multiple reasons including the existence of cyclic feedback loops and uncertainty that yields diverse possib...
[ { "created": "Thu, 5 Oct 2023 14:59:19 GMT", "version": "v1" } ]
2023-10-06
[ [ "Nguyen", "Trang", "" ], [ "Tong", "Alexander", "" ], [ "Madan", "Kanika", "" ], [ "Bengio", "Yoshua", "" ], [ "Liu", "Dianbo", "" ] ]
Understanding causal relationships within Gene Regulatory Networks (GRNs) is essential for unraveling the gene interactions in cellular processes. However, causal discovery in GRNs is a challenging problem for multiple reasons including the existence of cyclic feedback loops and uncertainty that yields diverse possible...
2309.16133
Kadir Yilmaz
Kadir Yilmaz and Jonas Schult and Alexey Nekrasov and Bastian Leibe
Mask4Former: Mask Transformer for 4D Panoptic Segmentation
Renamed from MASK4D to Mask4Former. ICRA 2024. Project page: https://vision.rwth-aachen.de/Mask4Former
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Accurately perceiving and tracking instances over time is essential for the decision-making processes of autonomous agents interacting safely in dynamic environments. With this intention, we propose Mask4Former for the challenging task of 4D panoptic segmentation of LiDAR point clouds. Mask4Former is the first transf...
[ { "created": "Thu, 28 Sep 2023 03:30:50 GMT", "version": "v1" }, { "created": "Wed, 10 Apr 2024 21:19:33 GMT", "version": "v2" } ]
2024-04-12
[ [ "Yilmaz", "Kadir", "" ], [ "Schult", "Jonas", "" ], [ "Nekrasov", "Alexey", "" ], [ "Leibe", "Bastian", "" ] ]
Accurately perceiving and tracking instances over time is essential for the decision-making processes of autonomous agents interacting safely in dynamic environments. With this intention, we propose Mask4Former for the challenging task of 4D panoptic segmentation of LiDAR point clouds. Mask4Former is the first transfor...
2203.07802
Gabriele Santin
Gabriele Santin and Inna Skarbovsky and Fabiana Fournier and Bruno Lepri
A Framework for Verifiable and Auditable Federated Anomaly Detection
null
null
10.1109/ACCESS.2022.3196391
null
cs.LG cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated Leaning is an emerging approach to manage cooperation between a group of agents for the solution of Machine Learning tasks, with the goal of improving each agent's performance without disclosing any data. In this paper we present a novel algorithmic architecture that tackle this problem in the particular ca...
[ { "created": "Tue, 15 Mar 2022 11:34:02 GMT", "version": "v1" } ]
2022-08-09
[ [ "Santin", "Gabriele", "" ], [ "Skarbovsky", "Inna", "" ], [ "Fournier", "Fabiana", "" ], [ "Lepri", "Bruno", "" ] ]
Federated Leaning is an emerging approach to manage cooperation between a group of agents for the solution of Machine Learning tasks, with the goal of improving each agent's performance without disclosing any data. In this paper we present a novel algorithmic architecture that tackle this problem in the particular case...
1905.05365
Zhaoxia Yin
Yujie Jia, Zhaoxia Yin, Xinpeng Zhang, Yonglong Luo
Reversible data hiding based on reducing invalid shifting of pixels in histogram shifting
11 pages, 11 figures, 1 table
Signal Processing, 2019, 163: 238-246
10.1016/j.sigpro.2019.05.020
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, reversible data hiding (RDH), a new research hotspot in the field of information security, has been paid more and more attention by researchers. Most of the existing RDH schemes do not fully take it into account that natural image's texture has influence on embedding distortion. The image distortion ...
[ { "created": "Tue, 14 May 2019 02:51:32 GMT", "version": "v1" } ]
2021-10-19
[ [ "Jia", "Yujie", "" ], [ "Yin", "Zhaoxia", "" ], [ "Zhang", "Xinpeng", "" ], [ "Luo", "Yonglong", "" ] ]
In recent years, reversible data hiding (RDH), a new research hotspot in the field of information security, has been paid more and more attention by researchers. Most of the existing RDH schemes do not fully take it into account that natural image's texture has influence on embedding distortion. The image distortion ca...
2307.07043
Joe Loughry
Joe Loughry and David A. Umphress
Information Leakage from Optical Emanations
26 pages, 11 figures
ACM transactions on Information and System Security 5 (2002) 262--289
10.1145/545186.545189
null
cs.CR eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A previously unknown form of compromising emanations has been discovered. LED status indicators on data communication equipment, under certain conditions, are shown to carry a modulated optical signal that is significantly correlated with information being processed by the device. Physical access is not required; the...
[ { "created": "Thu, 13 Jul 2023 20:00:34 GMT", "version": "v1" } ]
2023-07-17
[ [ "Loughry", "Joe", "" ], [ "Umphress", "David A.", "" ] ]
A previously unknown form of compromising emanations has been discovered. LED status indicators on data communication equipment, under certain conditions, are shown to carry a modulated optical signal that is significantly correlated with information being processed by the device. Physical access is not required; the a...
1104.4260
Qiang Li
Qiang Li and Wing-Kin Ma
A Robust Artificial Noise Aided Transmit Design for Miso Secrecy
Accepted for publication in ICASSP 2011, May 2011
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers an artificial noise (AN) aided secrecy rate maximization (SRM) problem for a multi-input single-output (MISO) channel overheard by multiple single-antenna eavesdroppers. We assume that the transmitter has perfect knowledge about the channel to the desired user but imperfect knowledge about the ch...
[ { "created": "Thu, 21 Apr 2011 13:33:03 GMT", "version": "v1" } ]
2011-04-22
[ [ "Li", "Qiang", "" ], [ "Ma", "Wing-Kin", "" ] ]
This paper considers an artificial noise (AN) aided secrecy rate maximization (SRM) problem for a multi-input single-output (MISO) channel overheard by multiple single-antenna eavesdroppers. We assume that the transmitter has perfect knowledge about the channel to the desired user but imperfect knowledge about the chan...
2112.09099
Sriram Ganapathi Subramanian
Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart
Decentralized Mean Field Games
This work is to appear in AAAI-22. Recent version has minor formatting changes and some typos corrected
null
null
null
cs.MA
http://creativecommons.org/licenses/by/4.0/
Multiagent reinforcement learning algorithms have not been widely adopted in large scale environments with many agents as they often scale poorly with the number of agents. Using mean field theory to aggregate agents has been proposed as a solution to this problem. However, almost all previous methods in this area ma...
[ { "created": "Thu, 16 Dec 2021 18:30:48 GMT", "version": "v1" }, { "created": "Mon, 3 Jan 2022 05:58:55 GMT", "version": "v2" }, { "created": "Thu, 20 Jan 2022 14:48:20 GMT", "version": "v3" }, { "created": "Thu, 3 Mar 2022 15:39:30 GMT", "version": "v4" }, { "cre...
2022-04-14
[ [ "Subramanian", "Sriram Ganapathi", "" ], [ "Taylor", "Matthew E.", "" ], [ "Crowley", "Mark", "" ], [ "Poupart", "Pascal", "" ] ]
Multiagent reinforcement learning algorithms have not been widely adopted in large scale environments with many agents as they often scale poorly with the number of agents. Using mean field theory to aggregate agents has been proposed as a solution to this problem. However, almost all previous methods in this area make...
1409.8352
Chih-Chung Lin
Chi-Heng Lin and De-Nian Yang and Chih-Chung Lin and Wanjiun Liao
Multicast Group Management for Multi-View 3D Videos in Wireless Networks
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the emergence of 3D mobile devices available in the markets, mobile 3D video services become increasingly important for video service providers, such as Youtube and Netflix, while multi-view 3D videos are potential to bring out varied innovative applications. However, enabling multi-view 3D video services may ov...
[ { "created": "Mon, 29 Sep 2014 23:38:31 GMT", "version": "v1" }, { "created": "Wed, 15 Oct 2014 07:31:08 GMT", "version": "v2" }, { "created": "Fri, 24 Oct 2014 04:51:06 GMT", "version": "v3" }, { "created": "Wed, 3 Dec 2014 03:34:03 GMT", "version": "v4" } ]
2014-12-04
[ [ "Lin", "Chi-Heng", "" ], [ "Yang", "De-Nian", "" ], [ "Lin", "Chih-Chung", "" ], [ "Liao", "Wanjiun", "" ] ]
With the emergence of 3D mobile devices available in the markets, mobile 3D video services become increasingly important for video service providers, such as Youtube and Netflix, while multi-view 3D videos are potential to bring out varied innovative applications. However, enabling multi-view 3D video services may over...
2303.05327
Idan Eldar
Idan Eldar, Nofar Carmeli, and Benny Kimelfeld
Direct Access for Answers to Conjunctive Queries with Aggregation
null
null
null
null
cs.DB cs.DS
http://creativecommons.org/licenses/by/4.0/
We study the fine-grained complexity of conjunctive queries with grouping and aggregation. For some common aggregate functions (e.g., min, max, count, sum), such a query can be phrased as an ordinary conjunctive query over a database annotated with a suitable commutative semiring. Specifically, we investigate the abi...
[ { "created": "Thu, 9 Mar 2023 15:18:40 GMT", "version": "v1" } ]
2023-03-10
[ [ "Eldar", "Idan", "" ], [ "Carmeli", "Nofar", "" ], [ "Kimelfeld", "Benny", "" ] ]
We study the fine-grained complexity of conjunctive queries with grouping and aggregation. For some common aggregate functions (e.g., min, max, count, sum), such a query can be phrased as an ordinary conjunctive query over a database annotated with a suitable commutative semiring. Specifically, we investigate the abili...
2205.06857
Brian Lavallee
Andrew Fraser, Brian Lavallee, Blair D. Sullivan
Parameterized Complexity of Gerrymandering
null
null
null
null
cs.DS cs.GT
http://creativecommons.org/licenses/by/4.0/
In a representative democracy, the electoral process involves partitioning geographical space into districts which each elect a single representative. These representatives craft and vote on legislation, incentivizing political parties to win as many districts as possible (ideally a plurality). Gerrymandering is the ...
[ { "created": "Fri, 13 May 2022 19:04:45 GMT", "version": "v1" }, { "created": "Thu, 7 Dec 2023 14:39:58 GMT", "version": "v2" } ]
2023-12-08
[ [ "Fraser", "Andrew", "" ], [ "Lavallee", "Brian", "" ], [ "Sullivan", "Blair D.", "" ] ]
In a representative democracy, the electoral process involves partitioning geographical space into districts which each elect a single representative. These representatives craft and vote on legislation, incentivizing political parties to win as many districts as possible (ideally a plurality). Gerrymandering is the pr...
1506.00684
Viveck Cadambe
Zhiying Wang and Viveck R. Cadambe
Multi-Version Coding - An Information Theoretic Perspective of Consistent Distributed Storage
30 Pages. Extended version of conference publications in ISIT 2014 and Allerton 2014. Revision adds a section, Section VII, and corrects minor typographical errors in the rest of the document
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In applications of distributed storage systems to distributed computing and implementation of key- value stores, the following property, usually referred to as consistency in computer science and engineering, is an important requirement: as the data stored changes, the latest version of the data must be accessible to...
[ { "created": "Mon, 1 Jun 2015 21:39:52 GMT", "version": "v1" }, { "created": "Mon, 19 Oct 2015 18:46:58 GMT", "version": "v2" } ]
2015-10-20
[ [ "Wang", "Zhiying", "" ], [ "Cadambe", "Viveck R.", "" ] ]
In applications of distributed storage systems to distributed computing and implementation of key- value stores, the following property, usually referred to as consistency in computer science and engineering, is an important requirement: as the data stored changes, the latest version of the data must be accessible to a...
1903.11246
Hyo-Sung Ahn
Hyo-Sung Ahn, Kevin L. Moore, Seong-Ho Kwon, Quoc Van Tran, Byeong-Yeon Kim, and Kwang-Kyo Oh
Topological Controllability of Undirected Networks of Diffusively-Coupled Agents
null
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents conditions for establishing topological controllability in undirected networks of diffusively coupled agents. Specifically, controllability is considered based on the signs of the edges (negative, positive or zero). Our approach differs from well-known structural controllability conditions for lin...
[ { "created": "Wed, 27 Mar 2019 04:38:31 GMT", "version": "v1" } ]
2019-03-28
[ [ "Ahn", "Hyo-Sung", "" ], [ "Moore", "Kevin L.", "" ], [ "Kwon", "Seong-Ho", "" ], [ "Van Tran", "Quoc", "" ], [ "Kim", "Byeong-Yeon", "" ], [ "Oh", "Kwang-Kyo", "" ] ]
This paper presents conditions for establishing topological controllability in undirected networks of diffusively coupled agents. Specifically, controllability is considered based on the signs of the edges (negative, positive or zero). Our approach differs from well-known structural controllability conditions for linea...
2305.18624
Mingchen Li
Mingchen Li, Yang Ye, Jeremy Yeung, Huixue Zhou, Huaiyuan Chu, Rui Zhang
W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition
Under Review
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Contrastive learning has become a popular solution for few-shot Name Entity Recognization (NER). The conventional configuration strives to reduce the distance between tokens with the same labels and increase the distance between tokens with different labels. The effect of this setup may, however, in the medical domai...
[ { "created": "Mon, 29 May 2023 21:17:52 GMT", "version": "v1" }, { "created": "Sat, 10 Jun 2023 01:06:19 GMT", "version": "v2" }, { "created": "Fri, 30 Jun 2023 19:29:02 GMT", "version": "v3" }, { "created": "Sun, 16 Jul 2023 13:50:35 GMT", "version": "v4" }, { "c...
2023-08-02
[ [ "Li", "Mingchen", "" ], [ "Ye", "Yang", "" ], [ "Yeung", "Jeremy", "" ], [ "Zhou", "Huixue", "" ], [ "Chu", "Huaiyuan", "" ], [ "Zhang", "Rui", "" ] ]
Contrastive learning has become a popular solution for few-shot Name Entity Recognization (NER). The conventional configuration strives to reduce the distance between tokens with the same labels and increase the distance between tokens with different labels. The effect of this setup may, however, in the medical domain,...
2402.08742
Yassine Himeur
Fodil Fadli, Yassine Himeur, Mariam Elnour and Abbes Amira
Unveiling Hidden Energy Anomalies: Harnessing Deep Learning to Optimize Energy Management in Sports Facilities
18 pages, 5 figures and 2 tables
null
null
null
cs.CY cs.LG
http://creativecommons.org/licenses/by/4.0/
Anomaly detection in sport facilities has gained significant attention due to its potential to promote energy saving and optimizing operational efficiency. In this research article, we investigate the role of machine learning, particularly deep learning, in anomaly detection for sport facilities. We explore the chall...
[ { "created": "Tue, 13 Feb 2024 19:27:06 GMT", "version": "v1" } ]
2024-02-15
[ [ "Fadli", "Fodil", "" ], [ "Himeur", "Yassine", "" ], [ "Elnour", "Mariam", "" ], [ "Amira", "Abbes", "" ] ]
Anomaly detection in sport facilities has gained significant attention due to its potential to promote energy saving and optimizing operational efficiency. In this research article, we investigate the role of machine learning, particularly deep learning, in anomaly detection for sport facilities. We explore the challen...
2406.18927
Zhaokang Liao
Zhaokang Liao, Hao Feng, Shaokai Liu, Wengang Zhou, Houqiang Li
RoFIR: Robust Fisheye Image Rectification Framework Impervious to Optical Center Deviation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fisheye images are categorized fisheye into central and deviated based on the optical center position. Existing rectification methods are limited to central fisheye images, while this paper proposes a novel method that extends to deviated fisheye image rectification. The challenge lies in the variant global distortio...
[ { "created": "Thu, 27 Jun 2024 06:38:56 GMT", "version": "v1" } ]
2024-06-28
[ [ "Liao", "Zhaokang", "" ], [ "Feng", "Hao", "" ], [ "Liu", "Shaokai", "" ], [ "Zhou", "Wengang", "" ], [ "Li", "Houqiang", "" ] ]
Fisheye images are categorized fisheye into central and deviated based on the optical center position. Existing rectification methods are limited to central fisheye images, while this paper proposes a novel method that extends to deviated fisheye image rectification. The challenge lies in the variant global distortion ...
2006.07630
Emilien Dupont
Emilien Dupont, Miguel Angel Bautista, Alex Colburn, Aditya Sankar, Carlos Guestrin, Josh Susskind, Qi Shan
Equivariant Neural Rendering
Add link to code
null
null
null
cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a framework for learning neural scene representations directly from images, without 3D supervision. Our key insight is that 3D structure can be imposed by ensuring that the learned representation transforms like a real 3D scene. Specifically, we introduce a loss which enforces equivariance of the scene rep...
[ { "created": "Sat, 13 Jun 2020 12:25:07 GMT", "version": "v1" }, { "created": "Mon, 21 Dec 2020 11:28:31 GMT", "version": "v2" } ]
2020-12-22
[ [ "Dupont", "Emilien", "" ], [ "Bautista", "Miguel Angel", "" ], [ "Colburn", "Alex", "" ], [ "Sankar", "Aditya", "" ], [ "Guestrin", "Carlos", "" ], [ "Susskind", "Josh", "" ], [ "Shan", "Qi", "" ] ]
We propose a framework for learning neural scene representations directly from images, without 3D supervision. Our key insight is that 3D structure can be imposed by ensuring that the learned representation transforms like a real 3D scene. Specifically, we introduce a loss which enforces equivariance of the scene repre...
2101.10483
EPTCS
Toby St Clere Smithe (University of Oxford)
Cyber Kittens, or Some First Steps Towards Categorical Cybernetics
In Proceedings ACT 2020, arXiv:2101.07888. Includes a summary of arXiv:2006.01631
EPTCS 333, 2021, pp. 108-124
10.4204/EPTCS.333.8
null
cs.NE cs.GT math.CT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We define a categorical notion of cybernetic system as a dynamical realisation of a generalized open game, along with a coherence condition. We show that this notion captures a wide class of cybernetic systems in computational neuroscience and statistical machine learning, exposes their compositional structure, and g...
[ { "created": "Tue, 26 Jan 2021 00:04:00 GMT", "version": "v1" } ]
2021-01-27
[ [ "Smithe", "Toby St Clere", "", "University of Oxford" ] ]
We define a categorical notion of cybernetic system as a dynamical realisation of a generalized open game, along with a coherence condition. We show that this notion captures a wide class of cybernetic systems in computational neuroscience and statistical machine learning, exposes their compositional structure, and giv...
2305.15272
Jingfeng Yao
Jingfeng Yao, Xinggang Wang, Shusheng Yang, Baoyuan Wang
ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers
codes: https://github.com/hustvl/ViTMatte
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Recently, plain vision Transformers (ViTs) have shown impressive performance on various computer vision tasks, thanks to their strong modeling capacity and large-scale pretraining. However, they have not yet conquered the problem of image matting. We hypothesize that image matting could also be boosted by ViTs and pr...
[ { "created": "Wed, 24 May 2023 15:59:35 GMT", "version": "v1" }, { "created": "Wed, 31 May 2023 09:12:06 GMT", "version": "v2" } ]
2023-06-01
[ [ "Yao", "Jingfeng", "" ], [ "Wang", "Xinggang", "" ], [ "Yang", "Shusheng", "" ], [ "Wang", "Baoyuan", "" ] ]
Recently, plain vision Transformers (ViTs) have shown impressive performance on various computer vision tasks, thanks to their strong modeling capacity and large-scale pretraining. However, they have not yet conquered the problem of image matting. We hypothesize that image matting could also be boosted by ViTs and pres...
2311.14324
Shengyin Sun
Shengyin Sun, Yuxiang Ren, Chen Ma, Xuecang Zhang
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
10 pages
null
null
null
cs.AI cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The latest advancements in large language models (LLMs) have revolutionized the field of natural language processing (NLP). Inspired by the success of LLMs in NLP tasks, some recent work has begun investigating the potential of applying LLMs in graph learning tasks. However, most of the existing work focuses on utili...
[ { "created": "Fri, 24 Nov 2023 07:53:48 GMT", "version": "v1" }, { "created": "Wed, 24 Jul 2024 13:34:14 GMT", "version": "v2" } ]
2024-07-25
[ [ "Sun", "Shengyin", "" ], [ "Ren", "Yuxiang", "" ], [ "Ma", "Chen", "" ], [ "Zhang", "Xuecang", "" ] ]
The latest advancements in large language models (LLMs) have revolutionized the field of natural language processing (NLP). Inspired by the success of LLMs in NLP tasks, some recent work has begun investigating the potential of applying LLMs in graph learning tasks. However, most of the existing work focuses on utilizi...
1209.2635
Luis Sanabria-Russo
Luis Sanabria-Russo
TCP/IP communication between two USRP-E110
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This short report intends to provide an overview of the procedure and statistics of establishing a TCP/IP link between two USRP-E110. The testings are performed using an example GNURadio code and the networking protocol stack provided by the Linux operating system embedded in the USRP-E110.
[ { "created": "Wed, 12 Sep 2012 15:05:57 GMT", "version": "v1" } ]
2012-09-13
[ [ "Sanabria-Russo", "Luis", "" ] ]
This short report intends to provide an overview of the procedure and statistics of establishing a TCP/IP link between two USRP-E110. The testings are performed using an example GNURadio code and the networking protocol stack provided by the Linux operating system embedded in the USRP-E110.
2307.11788
Jonas Stein
Jonas Stein, Ivo Christ, Nicolas Kraus, Maximilian Balthasar Mansky, Robert M\"uller, Claudia Linnhoff-Popien
Applying QNLP to sentiment analysis in finance
null
QCE'23 Companion: Proceedings of the Companion IEEE International Conference on Quantum Computing and Engineering, 2023, 20-25
10.1109/QCE57702.2023.10178
null
cs.CL cs.AI quant-ph
http://creativecommons.org/licenses/by/4.0/
As an application domain where the slightest qualitative improvements can yield immense value, finance is a promising candidate for early quantum advantage. Focusing on the rapidly advancing field of Quantum Natural Language Processing (QNLP), we explore the practical applicability of the two central approaches DisCo...
[ { "created": "Thu, 20 Jul 2023 18:30:35 GMT", "version": "v1" }, { "created": "Mon, 31 Jul 2023 05:50:30 GMT", "version": "v2" }, { "created": "Mon, 11 Sep 2023 07:21:10 GMT", "version": "v3" } ]
2023-09-19
[ [ "Stein", "Jonas", "" ], [ "Christ", "Ivo", "" ], [ "Kraus", "Nicolas", "" ], [ "Mansky", "Maximilian Balthasar", "" ], [ "Müller", "Robert", "" ], [ "Linnhoff-Popien", "Claudia", "" ] ]
As an application domain where the slightest qualitative improvements can yield immense value, finance is a promising candidate for early quantum advantage. Focusing on the rapidly advancing field of Quantum Natural Language Processing (QNLP), we explore the practical applicability of the two central approaches DisCoCa...
1112.0467
Erwin Riegler
Erwin Riegler, Gunvor Elisabeth Kirkelund, Carles Navarro Manch\'on, Mihai-Alin Badiu, Bernard Henry Fleury
Merging Belief Propagation and the Mean Field Approximation: A Free Energy Approach
null
null
null
null
cs.IT math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a joint message passing approach that combines belief propagation and the mean field approximation. Our analysis is based on the region-based free energy approximation method proposed by Yedidia et al. We show that the message passing fixed-point equations obtained with this combination correspond to stati...
[ { "created": "Fri, 2 Dec 2011 14:21:57 GMT", "version": "v1" }, { "created": "Thu, 5 Jan 2012 10:57:20 GMT", "version": "v2" }, { "created": "Thu, 28 Jun 2012 11:50:49 GMT", "version": "v3" } ]
2012-06-29
[ [ "Riegler", "Erwin", "" ], [ "Kirkelund", "Gunvor Elisabeth", "" ], [ "Manchón", "Carles Navarro", "" ], [ "Badiu", "Mihai-Alin", "" ], [ "Fleury", "Bernard Henry", "" ] ]
We present a joint message passing approach that combines belief propagation and the mean field approximation. Our analysis is based on the region-based free energy approximation method proposed by Yedidia et al. We show that the message passing fixed-point equations obtained with this combination correspond to station...
2105.05003
Lizhe Liu
Lizhe Liu, Xiaohao Chen, Siyu Zhu, Ping Tan
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution
null
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 3773-3782
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern deep-learning-based lane detection methods are successful in most scenarios but struggling for lane lines with complex topologies. In this work, we propose CondLaneNet, a novel top-to-down lane detection framework that detects the lane instances first and then dynamically predicts the line shape for each insta...
[ { "created": "Tue, 11 May 2021 13:10:34 GMT", "version": "v1" }, { "created": "Thu, 10 Jun 2021 11:44:17 GMT", "version": "v2" }, { "created": "Fri, 10 Feb 2023 08:38:34 GMT", "version": "v3" } ]
2023-02-13
[ [ "Liu", "Lizhe", "" ], [ "Chen", "Xiaohao", "" ], [ "Zhu", "Siyu", "" ], [ "Tan", "Ping", "" ] ]
Modern deep-learning-based lane detection methods are successful in most scenarios but struggling for lane lines with complex topologies. In this work, we propose CondLaneNet, a novel top-to-down lane detection framework that detects the lane instances first and then dynamically predicts the line shape for each instanc...
2406.13225
Xiaoxiong Zhang
Xiaoxiong Zhang, Zhiwei Zeng, Xin Zhou, Dusit Niyato, Zhiqi Shen
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification
null
null
null
null
cs.LG cs.AI cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated Knowledge Graphs Embedding learning (FKGE) encounters challenges in communication efficiency stemming from the considerable size of parameters and extensive communication rounds. However, existing FKGE methods only focus on reducing communication rounds by conducting multiple rounds of local training in eac...
[ { "created": "Wed, 19 Jun 2024 05:26:02 GMT", "version": "v1" } ]
2024-06-21
[ [ "Zhang", "Xiaoxiong", "" ], [ "Zeng", "Zhiwei", "" ], [ "Zhou", "Xin", "" ], [ "Niyato", "Dusit", "" ], [ "Shen", "Zhiqi", "" ] ]
Federated Knowledge Graphs Embedding learning (FKGE) encounters challenges in communication efficiency stemming from the considerable size of parameters and extensive communication rounds. However, existing FKGE methods only focus on reducing communication rounds by conducting multiple rounds of local training in each ...
1109.6638
James Bergstra
James Bergstra, Aaron Courville, Yoshua Bengio
The Statistical Inefficiency of Sparse Coding for Images (or, One Gabor to Rule them All)
9 pages, 8 figures
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sparse coding is a proven principle for learning compact representations of images. However, sparse coding by itself often leads to very redundant dictionaries. With images, this often takes the form of similar edge detectors which are replicated many times at various positions, scales and orientations. An immediate ...
[ { "created": "Thu, 29 Sep 2011 19:47:00 GMT", "version": "v1" }, { "created": "Fri, 30 Sep 2011 15:27:25 GMT", "version": "v2" } ]
2015-03-19
[ [ "Bergstra", "James", "" ], [ "Courville", "Aaron", "" ], [ "Bengio", "Yoshua", "" ] ]
Sparse coding is a proven principle for learning compact representations of images. However, sparse coding by itself often leads to very redundant dictionaries. With images, this often takes the form of similar edge detectors which are replicated many times at various positions, scales and orientations. An immediate co...
cs/0612098
Manik Lal Das
Manik Lal Das, Ashutosh Saxena, Deepak B. Phatak
Algorithms and Approaches of Proxy Signature: A Survey
29 pages
null
null
null
cs.CR
null
Numerous research studies have been investigated on proxy signatures over the last decade. This survey reviews the research progress on proxy signatures, analyzes a few notable proposals, and provides an overall remark of these proposals.
[ { "created": "Wed, 20 Dec 2006 06:09:59 GMT", "version": "v1" } ]
2007-05-23
[ [ "Das", "Manik Lal", "" ], [ "Saxena", "Ashutosh", "" ], [ "Phatak", "Deepak B.", "" ] ]
Numerous research studies have been investigated on proxy signatures over the last decade. This survey reviews the research progress on proxy signatures, analyzes a few notable proposals, and provides an overall remark of these proposals.
2312.00534
Mikel Garcia
Jose Luis Apell\'aniz, Mikel Garc\'ia, Nerea Aranjuelo, Javier Barandiar\'an, Marcos Nieto
LiDAR-based curb detection for ground truth annotation in automated driving validation
Accepted in the 26th IEEE International Conference on Intelligent Transportation Systems (ITSC 2023)
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Curb detection is essential for environmental awareness in Automated Driving (AD), as it typically limits drivable and non-drivable areas. Annotated data are necessary for developing and validating an AD function. However, the number of public datasets with annotated point cloud curbs is scarce. This paper presents a...
[ { "created": "Fri, 1 Dec 2023 12:15:09 GMT", "version": "v1" }, { "created": "Mon, 11 Dec 2023 10:29:54 GMT", "version": "v2" } ]
2023-12-12
[ [ "Apellániz", "Jose Luis", "" ], [ "García", "Mikel", "" ], [ "Aranjuelo", "Nerea", "" ], [ "Barandiarán", "Javier", "" ], [ "Nieto", "Marcos", "" ] ]
Curb detection is essential for environmental awareness in Automated Driving (AD), as it typically limits drivable and non-drivable areas. Annotated data are necessary for developing and validating an AD function. However, the number of public datasets with annotated point cloud curbs is scarce. This paper presents a m...
2402.02548
Ronen Tamari
Ronen Tamari
"What's my model inside of?": Exploring the role of environments for grounded natural language understanding
PhD Thesis
null
null
null
cs.CL cs.AI cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In contrast to classical cognitive science which studied brains in isolation, ecological approaches focused on the role of the body and environment in shaping cognition. Similarly, in this thesis we adopt an ecological approach to grounded natural language understanding (NLU) research. Grounded language understanding...
[ { "created": "Sun, 4 Feb 2024 15:52:46 GMT", "version": "v1" } ]
2024-02-06
[ [ "Tamari", "Ronen", "" ] ]
In contrast to classical cognitive science which studied brains in isolation, ecological approaches focused on the role of the body and environment in shaping cognition. Similarly, in this thesis we adopt an ecological approach to grounded natural language understanding (NLU) research. Grounded language understanding s...
2006.00899
Wei Xu
Yaqiong Zhao, Wei Xu, Jindan Xu, Shi Jin, Kezhi Wang, and Mohamed-Slim Alouini
Analog Versus Hybrid Precoding for Multiuser Massive MIMO with Quantized CSI Feedback
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this letter, we study the performance of a downlink multiuser massive multiple-input multiple-output (MIMO) system with sub-connected structure over limited feedback channels. Tight rate approximations are theoretically analyzed for the system with pure analog precoding and hybrid precoding. The effect of quantize...
[ { "created": "Mon, 1 Jun 2020 12:51:34 GMT", "version": "v1" } ]
2020-06-03
[ [ "Zhao", "Yaqiong", "" ], [ "Xu", "Wei", "" ], [ "Xu", "Jindan", "" ], [ "Jin", "Shi", "" ], [ "Wang", "Kezhi", "" ], [ "Alouini", "Mohamed-Slim", "" ] ]
In this letter, we study the performance of a downlink multiuser massive multiple-input multiple-output (MIMO) system with sub-connected structure over limited feedback channels. Tight rate approximations are theoretically analyzed for the system with pure analog precoding and hybrid precoding. The effect of quantized ...
1903.03462
Panagiotis Meletis
Panagiotis Meletis and Gijs Dubbelman
On Boosting Semantic Street Scene Segmentation with Weak Supervision
Oral presentation IEEE IV 2019
null
null
null
cs.CV
http://creativecommons.org/publicdomain/zero/1.0/
Training convolutional networks for semantic segmentation requires per-pixel ground truth labels, which are very time consuming and hence costly to obtain. Therefore, in this work, we research and develop a hierarchical deep network architecture and the corresponding loss for semantic segmentation that can be trained...
[ { "created": "Fri, 8 Mar 2019 14:16:11 GMT", "version": "v1" }, { "created": "Tue, 16 Jul 2019 14:07:16 GMT", "version": "v2" } ]
2019-07-17
[ [ "Meletis", "Panagiotis", "" ], [ "Dubbelman", "Gijs", "" ] ]
Training convolutional networks for semantic segmentation requires per-pixel ground truth labels, which are very time consuming and hence costly to obtain. Therefore, in this work, we research and develop a hierarchical deep network architecture and the corresponding loss for semantic segmentation that can be trained f...
2406.20031
Mohamed Karim Belaid
Mohamed Karim Belaid, Maximilian Rabus and Eyke H\"ullermeier
Pairwise Difference Learning for Classification
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Pairwise difference learning (PDL) has recently been introduced as a new meta-learning technique for regression. Instead of learning a mapping from instances to outcomes in the standard way, the key idea is to learn a function that takes two instances as input and predicts the difference between the respective outcom...
[ { "created": "Fri, 28 Jun 2024 16:20:22 GMT", "version": "v1" } ]
2024-07-01
[ [ "Belaid", "Mohamed Karim", "" ], [ "Rabus", "Maximilian", "" ], [ "Hüllermeier", "Eyke", "" ] ]
Pairwise difference learning (PDL) has recently been introduced as a new meta-learning technique for regression. Instead of learning a mapping from instances to outcomes in the standard way, the key idea is to learn a function that takes two instances as input and predicts the difference between the respective outcomes...
1905.10828
Evan Drumwright
Evan Drumwright
An Unconditionally Stable First-Order Constraint Solver for Multibody Systems
null
null
null
null
cs.NA cs.CE
http://creativecommons.org/publicdomain/zero/1.0/
This article describes an absolutely stable, first-order constraint solverfor multi-rigid body systems that calculates (predicts) constraint forces for typical bilateral and unilateral constraints, contact constraints with friction, and many other constraint types. Redundant constraints do not pose numerical problems...
[ { "created": "Sun, 26 May 2019 16:14:24 GMT", "version": "v1" } ]
2019-05-28
[ [ "Drumwright", "Evan", "" ] ]
This article describes an absolutely stable, first-order constraint solverfor multi-rigid body systems that calculates (predicts) constraint forces for typical bilateral and unilateral constraints, contact constraints with friction, and many other constraint types. Redundant constraints do not pose numerical problems o...
2403.04593
Linyan Huang
Yunsong Zhou, Linyan Huang, Qingwen Bu, Jia Zeng, Tianyu Li, Hang Qiu, Hongzi Zhu, Minyi Guo, Yu Qiao, Hongyang Li
Embodied Understanding of Driving Scenarios
43 pages, 16 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Embodied scene understanding serves as the cornerstone for autonomous agents to perceive, interpret, and respond to open driving scenarios. Such understanding is typically founded upon Vision-Language Models (VLMs). Nevertheless, existing VLMs are restricted to the 2D domain, devoid of spatial awareness and long-hori...
[ { "created": "Thu, 7 Mar 2024 15:39:18 GMT", "version": "v1" } ]
2024-03-08
[ [ "Zhou", "Yunsong", "" ], [ "Huang", "Linyan", "" ], [ "Bu", "Qingwen", "" ], [ "Zeng", "Jia", "" ], [ "Li", "Tianyu", "" ], [ "Qiu", "Hang", "" ], [ "Zhu", "Hongzi", "" ], [ "Guo", "Minyi", ...
Embodied scene understanding serves as the cornerstone for autonomous agents to perceive, interpret, and respond to open driving scenarios. Such understanding is typically founded upon Vision-Language Models (VLMs). Nevertheless, existing VLMs are restricted to the 2D domain, devoid of spatial awareness and long-horizo...
2010.14828
Sebastian Lotter
Sebastian Lotter and Maximilian Sch\"afer and Johannes Zeitler and Robert Schober
Receptor Saturation Modeling for Synaptic DMC
6 pages, 1 table, 4 figures. Presented at the 2021 IEEE International Conference on Communications (ICC)
null
10.1109/ICC42927.2021.9500809
null
cs.ET cs.IT math.IT q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Synaptic communication is a natural Molecular Communication (MC) system which may serve as a blueprint for the design of synthetic MC systems. In particular, it features highly specialized mechanisms to enable inter-symbol interference (ISI)-free and energy efficient communication. The understanding of synaptic MC is...
[ { "created": "Wed, 28 Oct 2020 09:01:33 GMT", "version": "v1" }, { "created": "Thu, 30 Sep 2021 10:39:43 GMT", "version": "v2" } ]
2021-10-01
[ [ "Lotter", "Sebastian", "" ], [ "Schäfer", "Maximilian", "" ], [ "Zeitler", "Johannes", "" ], [ "Schober", "Robert", "" ] ]
Synaptic communication is a natural Molecular Communication (MC) system which may serve as a blueprint for the design of synthetic MC systems. In particular, it features highly specialized mechanisms to enable inter-symbol interference (ISI)-free and energy efficient communication. The understanding of synaptic MC is f...
2305.07882
Alexei Grinbaum
Alexei Grinbaum and Laurynas Adomaitis
Dual Use Concerns of Generative AI and Large Language Models
null
Journal of Responsible Innovation 11(1), 2304381, 2024
10.1080/23299460.2024.2304381
null
cs.CY cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We suggest the implementation of the Dual Use Research of Concern (DURC) framework, originally designed for life sciences, to the domain of generative AI, with a specific focus on Large Language Models (LLMs). With its demonstrated advantages and drawbacks in biological research, we believe the DURC criteria can be e...
[ { "created": "Sat, 13 May 2023 10:08:57 GMT", "version": "v1" }, { "created": "Sat, 23 Dec 2023 10:42:21 GMT", "version": "v2" } ]
2024-01-31
[ [ "Grinbaum", "Alexei", "" ], [ "Adomaitis", "Laurynas", "" ] ]
We suggest the implementation of the Dual Use Research of Concern (DURC) framework, originally designed for life sciences, to the domain of generative AI, with a specific focus on Large Language Models (LLMs). With its demonstrated advantages and drawbacks in biological research, we believe the DURC criteria can be eff...
2204.00873
Li Liu
Jianrong Wang, Jinyu Liu, Longxuan Zhao, Shanyu Wang, Ruiguo Yu, Li Liu
Acoustic-to-articulatory Inversion based on Speech Decomposition and Auxiliary Feature
null
ICASSP 2022
null
null
cs.SD cs.CV eess.AS
http://creativecommons.org/licenses/by/4.0/
Acoustic-to-articulatory inversion (AAI) is to obtain the movement of articulators from speech signals. Until now, achieving a speaker-independent AAI remains a challenge given the limited data. Besides, most current works only use audio speech as input, causing an inevitable performance bottleneck. To solve these pr...
[ { "created": "Sat, 2 Apr 2022 14:47:19 GMT", "version": "v1" } ]
2022-04-05
[ [ "Wang", "Jianrong", "" ], [ "Liu", "Jinyu", "" ], [ "Zhao", "Longxuan", "" ], [ "Wang", "Shanyu", "" ], [ "Yu", "Ruiguo", "" ], [ "Liu", "Li", "" ] ]
Acoustic-to-articulatory inversion (AAI) is to obtain the movement of articulators from speech signals. Until now, achieving a speaker-independent AAI remains a challenge given the limited data. Besides, most current works only use audio speech as input, causing an inevitable performance bottleneck. To solve these prob...
2307.01727
Huan Li
Huan Li, Jingxuan Huang, Zesong Fei
Mutual Information Analysis for Factor Graph-based MIMO Iterative Detections through Error Functions
11 pages, 12 figures
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The factor graph (FG) based iterative detection is considered an effective and practical method for multiple-input and multiple-out (MIMO), particularly massive MIMO (m-MIMO) systems. However, the convergence analysis for the FG-based iterative MIMO detection is insufficient, which is of great significance to the per...
[ { "created": "Tue, 4 Jul 2023 13:54:04 GMT", "version": "v1" } ]
2023-07-06
[ [ "Li", "Huan", "" ], [ "Huang", "Jingxuan", "" ], [ "Fei", "Zesong", "" ] ]
The factor graph (FG) based iterative detection is considered an effective and practical method for multiple-input and multiple-out (MIMO), particularly massive MIMO (m-MIMO) systems. However, the convergence analysis for the FG-based iterative MIMO detection is insufficient, which is of great significance to the perfo...
1701.05983
Mohan Kumar S
Mohan Kumar S and Jagadeesha SN
A Minimum Reconfiguration Probability Routing Algorithm for RWA in All-Optical Networks
arXiv admin note: text overlap with arXiv:1605.05872
SIPIJ Vol 7, 2016, 39-51
10.5121/sipij.2016.7604
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a detailed study of Minimum Reconfiguration Probability Routing (MRPR) algorithm, and its performance evaluation in comparison with Adaptive unconstrained routing (AUR) and Least Loaded routing (LLR) algorithms. We have minimized the effects of failures on link and router failure in the netw...
[ { "created": "Sat, 21 Jan 2017 05:26:12 GMT", "version": "v1" } ]
2017-03-31
[ [ "S", "Mohan Kumar", "" ], [ "SN", "Jagadeesha", "" ] ]
In this paper, we present a detailed study of Minimum Reconfiguration Probability Routing (MRPR) algorithm, and its performance evaluation in comparison with Adaptive unconstrained routing (AUR) and Least Loaded routing (LLR) algorithms. We have minimized the effects of failures on link and router failure in the networ...
1808.05942
Mohamed Omran
Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler, Bernt Schiele
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation
3DV 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Direct prediction of 3D body pose and shape remains a challenge even for highly parameterized deep learning models. Mapping from the 2D image space to the prediction space is difficult: perspective ambiguities make the loss function noisy and training data is scarce. In this paper, we propose a novel approach (Neural...
[ { "created": "Fri, 17 Aug 2018 17:56:10 GMT", "version": "v1" } ]
2018-08-20
[ [ "Omran", "Mohamed", "" ], [ "Lassner", "Christoph", "" ], [ "Pons-Moll", "Gerard", "" ], [ "Gehler", "Peter V.", "" ], [ "Schiele", "Bernt", "" ] ]
Direct prediction of 3D body pose and shape remains a challenge even for highly parameterized deep learning models. Mapping from the 2D image space to the prediction space is difficult: perspective ambiguities make the loss function noisy and training data is scarce. In this paper, we propose a novel approach (Neural B...
1303.2416
Alexandra Keenan
Alexandra Keenan, Robert Schweller, Michael Sherman, Xingsi Zhong
Fast Arithmetic in Algorithmic Self-Assembly
null
null
null
null
cs.DS cs.CC cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we consider the time complexity of computing the sum and product of two $n$-bit numbers within the tile self-assembly model. The (abstract) tile assembly model is a mathematical model of self-assembly in which system components are square tiles with different glue types assigned to tile edges. Assembly ...
[ { "created": "Mon, 11 Mar 2013 03:09:38 GMT", "version": "v1" }, { "created": "Mon, 5 Aug 2013 17:43:46 GMT", "version": "v2" } ]
2013-08-06
[ [ "Keenan", "Alexandra", "" ], [ "Schweller", "Robert", "" ], [ "Sherman", "Michael", "" ], [ "Zhong", "Xingsi", "" ] ]
In this paper we consider the time complexity of computing the sum and product of two $n$-bit numbers within the tile self-assembly model. The (abstract) tile assembly model is a mathematical model of self-assembly in which system components are square tiles with different glue types assigned to tile edges. Assembly is...
2201.09607
Maurice Laveaux
Maurice Laveaux, Wieger Wesselink, Tim A.C. Willemse
On-The-Fly Solving for Symbolic Parity Games
22 pages, technical report
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Parity games can be used to represent many different kinds of decision problems. In practice, tools that use parity games often rely on a specification in a higher-order logic from which the actual game can be obtained by means of an exploration. For many of these decision problems we are only interested in the solut...
[ { "created": "Mon, 24 Jan 2022 11:24:10 GMT", "version": "v1" } ]
2022-01-25
[ [ "Laveaux", "Maurice", "" ], [ "Wesselink", "Wieger", "" ], [ "Willemse", "Tim A. C.", "" ] ]
Parity games can be used to represent many different kinds of decision problems. In practice, tools that use parity games often rely on a specification in a higher-order logic from which the actual game can be obtained by means of an exploration. For many of these decision problems we are only interested in the solutio...
2006.06185
Joseph Chuang
Jo Chuang, Qian Dong
JIT-Masker: Efficient Online Distillation for Background Matting
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We design a real-time portrait matting pipeline for everyday use, particularly for "virtual backgrounds" in video conferences. Existing segmentation and matting methods prioritize accuracy and quality over throughput and efficiency, and our pipeline enables trading off a controllable amount of accuracy for better thr...
[ { "created": "Thu, 11 Jun 2020 04:28:09 GMT", "version": "v1" } ]
2020-06-12
[ [ "Chuang", "Jo", "" ], [ "Dong", "Qian", "" ] ]
We design a real-time portrait matting pipeline for everyday use, particularly for "virtual backgrounds" in video conferences. Existing segmentation and matting methods prioritize accuracy and quality over throughput and efficiency, and our pipeline enables trading off a controllable amount of accuracy for better throu...
1711.00139
Min Tang
Min Tang, Zichen Zhang, Dana Cobzas, Martin Jagersand, Jacob L. Jaremko
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an attention mechanism for 3D medical image segmentation. The method, named segmentation-by-detection, is a cascade of a detection module followed by a segmentation module. The detection module enables a region of interest to come to attention and produces a set of object region candidates which are furthe...
[ { "created": "Tue, 31 Oct 2017 23:04:28 GMT", "version": "v1" } ]
2017-11-02
[ [ "Tang", "Min", "" ], [ "Zhang", "Zichen", "" ], [ "Cobzas", "Dana", "" ], [ "Jagersand", "Martin", "" ], [ "Jaremko", "Jacob L.", "" ] ]
We propose an attention mechanism for 3D medical image segmentation. The method, named segmentation-by-detection, is a cascade of a detection module followed by a segmentation module. The detection module enables a region of interest to come to attention and produces a set of object region candidates which are further ...
2201.04354
Akira Suzuki
Nicolas Bousquet, Takehiro Ito, Yusuke Kobayashi, Haruka Mizuta, Paul Ouvrard, Akira Suzuki, Kunihiro Wasa
Reconfiguration of Spanning Trees with Degree Constraint or Diameter Constraint
null
null
null
null
cs.DS cs.DM
http://creativecommons.org/licenses/by/4.0/
We investigate the complexity of finding a transformation from a given spanning tree in a graph to another given spanning tree in the same graph via a sequence of edge flips. The exchange property of the matroid bases immediately yields that such a transformation always exists if we have no constraints on spanning tr...
[ { "created": "Wed, 12 Jan 2022 08:03:26 GMT", "version": "v1" } ]
2022-01-13
[ [ "Bousquet", "Nicolas", "" ], [ "Ito", "Takehiro", "" ], [ "Kobayashi", "Yusuke", "" ], [ "Mizuta", "Haruka", "" ], [ "Ouvrard", "Paul", "" ], [ "Suzuki", "Akira", "" ], [ "Wasa", "Kunihiro", "" ] ]
We investigate the complexity of finding a transformation from a given spanning tree in a graph to another given spanning tree in the same graph via a sequence of edge flips. The exchange property of the matroid bases immediately yields that such a transformation always exists if we have no constraints on spanning tree...
2407.12395
Sheng Miao
Sheng Miao, Jiaxin Huang, Dongfeng Bai, Weichao Qiu, Bingbing Liu, Andreas Geiger, Yiyi Liao
Efficient Depth-Guided Urban View Synthesis
ECCV2024, Project page: https://xdimlab.github.io/EDUS/
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in implicit scene representation enable high-fidelity street view novel view synthesis. However, existing methods optimize a neural radiance field for each scene, relying heavily on dense training images and extensive computation resources. To mitigate this shortcoming, we introduce a new method calle...
[ { "created": "Wed, 17 Jul 2024 08:16:25 GMT", "version": "v1" } ]
2024-07-18
[ [ "Miao", "Sheng", "" ], [ "Huang", "Jiaxin", "" ], [ "Bai", "Dongfeng", "" ], [ "Qiu", "Weichao", "" ], [ "Liu", "Bingbing", "" ], [ "Geiger", "Andreas", "" ], [ "Liao", "Yiyi", "" ] ]
Recent advances in implicit scene representation enable high-fidelity street view novel view synthesis. However, existing methods optimize a neural radiance field for each scene, relying heavily on dense training images and extensive computation resources. To mitigate this shortcoming, we introduce a new method called ...
0903.5282
Husheng Li
Husheng Li
Multi-agent Q-Learning of Channel Selection in Multi-user Cognitive Radio Systems: A Two by Two Case
submitted to 2009 IEEE International Conference on Systems, Man, and Cybernetics; the results of general n by m case will be published soon
null
10.1109/ICSMC.2009.5346172
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Resource allocation is an important issue in cognitive radio systems. It can be done by carrying out negotiation among secondary users. However, significant overhead may be incurred by the negotiation since the negotiation needs to be done frequently due to the rapid change of primary users' activity. In this paper, ...
[ { "created": "Mon, 30 Mar 2009 18:07:18 GMT", "version": "v1" } ]
2016-11-17
[ [ "Li", "Husheng", "" ] ]
Resource allocation is an important issue in cognitive radio systems. It can be done by carrying out negotiation among secondary users. However, significant overhead may be incurred by the negotiation since the negotiation needs to be done frequently due to the rapid change of primary users' activity. In this paper, a ...
1905.03711
Angelos Katharopoulos
Angelos Katharopoulos and Fran\c{c}ois Fleuret
Processing Megapixel Images with Deep Attention-Sampling Models
Presented in ICML 2019. Code is available at https://github.com/idiap/attention-sampling
Proceedings of the 36th International Conference on Machine Learning, PMLR 97:3282-3291, 2019
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing deep architectures cannot operate on very large signals such as megapixel images due to computational and memory constraints. To tackle this limitation, we propose a fully differentiable end-to-end trainable model that samples and processes only a fraction of the full resolution input image. The locations to...
[ { "created": "Fri, 3 May 2019 16:27:46 GMT", "version": "v1" }, { "created": "Wed, 17 Jul 2019 15:20:50 GMT", "version": "v2" } ]
2019-07-18
[ [ "Katharopoulos", "Angelos", "" ], [ "Fleuret", "François", "" ] ]
Existing deep architectures cannot operate on very large signals such as megapixel images due to computational and memory constraints. To tackle this limitation, we propose a fully differentiable end-to-end trainable model that samples and processes only a fraction of the full resolution input image. The locations to p...
2404.03471
Faiza Khattak Dr.
Farnaz Kohankhaki, Jacob-Junqi Tian, David Emerson, Laleh Seyyed-Kalantari, Faiza Khan Khattak
The Impact of Unstated Norms in Bias Analysis of Language Models
null
null
null
null
cs.CL cs.CY cs.LG
http://creativecommons.org/licenses/by/4.0/
Large language models (LLMs), trained on vast datasets, can carry biases that manifest in various forms, from overt discrimination to implicit stereotypes. One facet of bias is performance disparities in LLMs, often harming underprivileged groups, such as racial minorities. A common approach to quantifying bias is to...
[ { "created": "Thu, 4 Apr 2024 14:24:06 GMT", "version": "v1" }, { "created": "Sun, 7 Apr 2024 21:55:38 GMT", "version": "v2" } ]
2024-04-09
[ [ "Kohankhaki", "Farnaz", "" ], [ "Tian", "Jacob-Junqi", "" ], [ "Emerson", "David", "" ], [ "Seyyed-Kalantari", "Laleh", "" ], [ "Khattak", "Faiza Khan", "" ] ]
Large language models (LLMs), trained on vast datasets, can carry biases that manifest in various forms, from overt discrimination to implicit stereotypes. One facet of bias is performance disparities in LLMs, often harming underprivileged groups, such as racial minorities. A common approach to quantifying bias is to u...
1308.3336
Piotr Sankowski
Jakub {\L}\k{a}cki and Jakub O\'cwieja and Marcin Pilipczuk and Piotr Sankowski and Anna Zych
The Power of Dynamic Distance Oracles: Efficient Dynamic Algorithms for the Steiner Tree
Full version of the paper accepted to STOC'15
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we study the Steiner tree problem over a dynamic set of terminals. We consider the model where we are given an $n$-vertex graph $G=(V,E,w)$ with positive real edge weights, and our goal is to maintain a tree which is a good approximation of the minimum Steiner tree spanning a terminal set $S \subseteq V...
[ { "created": "Thu, 15 Aug 2013 08:32:39 GMT", "version": "v1" }, { "created": "Fri, 16 Aug 2013 09:03:38 GMT", "version": "v2" }, { "created": "Mon, 7 Apr 2014 08:34:25 GMT", "version": "v3" }, { "created": "Wed, 17 Jun 2015 11:06:23 GMT", "version": "v4" }, { "cr...
2016-06-27
[ [ "Łącki", "Jakub", "" ], [ "Oćwieja", "Jakub", "" ], [ "Pilipczuk", "Marcin", "" ], [ "Sankowski", "Piotr", "" ], [ "Zych", "Anna", "" ] ]
In this paper we study the Steiner tree problem over a dynamic set of terminals. We consider the model where we are given an $n$-vertex graph $G=(V,E,w)$ with positive real edge weights, and our goal is to maintain a tree which is a good approximation of the minimum Steiner tree spanning a terminal set $S \subseteq V$,...
1701.04180
Nari Lee
Jon-Lark Kim, Nari Lee
A Projection Decoding of a Binary Extremal Self-Dual Code of Length $40$
23 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As far as we know, there is no decoding algorithm of any binary self-dual $[40, 20, 8]$ code except for the syndrome decoding applied to the code directly. This syndrome decoding for a binary self-dual $[40,20,8]$ code is not efficient in the sense that it cannot be done by hand due to a large syndrome table. The pur...
[ { "created": "Mon, 16 Jan 2017 06:15:22 GMT", "version": "v1" } ]
2017-01-17
[ [ "Kim", "Jon-Lark", "" ], [ "Lee", "Nari", "" ] ]
As far as we know, there is no decoding algorithm of any binary self-dual $[40, 20, 8]$ code except for the syndrome decoding applied to the code directly. This syndrome decoding for a binary self-dual $[40,20,8]$ code is not efficient in the sense that it cannot be done by hand due to a large syndrome table. The purpo...
1210.2297
Remy Haemmerle
R\'emy Haemmerl\'e
Diagrammatic confluence for Constraint Handling Rules
null
Theory and Practice of Logic Programming, 12(4-5): 737-753, 2012
10.1017/S1471068412000270
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Confluence is a fundamental property of Constraint Handling Rules (CHR) since, as in other rewriting formalisms, it guarantees that the computations are not dependent on rule application order, and also because it implies the logical consistency of the program declarative view. In this paper we are concerned with pro...
[ { "created": "Mon, 8 Oct 2012 14:34:25 GMT", "version": "v1" }, { "created": "Tue, 9 Oct 2012 12:43:36 GMT", "version": "v2" } ]
2012-10-10
[ [ "Haemmerlé", "Rémy", "" ] ]
Confluence is a fundamental property of Constraint Handling Rules (CHR) since, as in other rewriting formalisms, it guarantees that the computations are not dependent on rule application order, and also because it implies the logical consistency of the program declarative view. In this paper we are concerned with provi...
2012.12441
Bilin Aksun-Guvenc
Oncu Ararat, Bilin Aksun-Guvenc
A Survey of Recent Developments in Collision Avoidance, Collision Warning and Inter-Vehicle Communication Systems
9 pages, 5 figures
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-nd/4.0/
This paper presents the state-of-the-art on Collision Avoidance and Collision Warning (CA,CW) systems. Traffic accidents result from driver errors or situations that are unpredictable for the driver. CA,CW systems are developed for reducing traffic accidents and saving peoples lives by warning drivers or taking compe...
[ { "created": "Wed, 23 Dec 2020 01:35:03 GMT", "version": "v1" } ]
2020-12-24
[ [ "Ararat", "Oncu", "" ], [ "Aksun-Guvenc", "Bilin", "" ] ]
This paper presents the state-of-the-art on Collision Avoidance and Collision Warning (CA,CW) systems. Traffic accidents result from driver errors or situations that are unpredictable for the driver. CA,CW systems are developed for reducing traffic accidents and saving peoples lives by warning drivers or taking compens...
1302.1567
Solomon Eyal Shimony
Solomon Eyal Shimony, Carmel Domshlak, Eugene Santos Jr
Cost-Sharing in Bayesian Knowledge Bases
Appears in Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI1997)
null
null
UAI-P-1997-PG-421-428
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bayesian knowledge bases (BKBs) are a generalization of Bayes networks and weighted proof graphs (WAODAGs), that allow cycles in the causal graph. Reasoning in BKBs requires finding the most probable inferences consistent with the evidence. The cost-sharing heuristic for finding least-cost explanations in WAODAGs was...
[ { "created": "Wed, 6 Feb 2013 15:58:57 GMT", "version": "v1" } ]
2013-02-08
[ [ "Shimony", "Solomon Eyal", "" ], [ "Domshlak", "Carmel", "" ], [ "Santos", "Eugene", "Jr" ] ]
Bayesian knowledge bases (BKBs) are a generalization of Bayes networks and weighted proof graphs (WAODAGs), that allow cycles in the causal graph. Reasoning in BKBs requires finding the most probable inferences consistent with the evidence. The cost-sharing heuristic for finding least-cost explanations in WAODAGs was p...
1902.00719
Miguel Alonso Jr
Miguel Alonso Jr
Learning User Preferences via Reinforcement Learning with Spatial Interface Valuing
Submitted to HCI International 2019 Parallel Session on Spatial Interaction for Universal Access
null
null
null
cs.LG cs.AI cs.HC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Interactive Machine Learning is concerned with creating systems that operate in environments alongside humans to achieve a task. A typical use is to extend or amplify the capabilities of a human in cognitive or physical ways, requiring the machine to adapt to the users' intentions and preferences. Often, this takes t...
[ { "created": "Sat, 2 Feb 2019 13:45:20 GMT", "version": "v1" } ]
2019-02-05
[ [ "Alonso", "Miguel", "Jr" ] ]
Interactive Machine Learning is concerned with creating systems that operate in environments alongside humans to achieve a task. A typical use is to extend or amplify the capabilities of a human in cognitive or physical ways, requiring the machine to adapt to the users' intentions and preferences. Often, this takes the...
1112.1344
Vikram Chandrasekhar
Lars Lindbom (Ericsson), Robert Love, Sandeep Krishnamurthy (Motorola Mobility), Chunhai Yao (Nokia Siemens Networks), Nobuhiko Miki (NTT DOCOMO) and Vikram Chandrasekhar (Texas Instruments)
Enhanced Inter-cell Interference Coordination for Heterogeneous Networks in LTE-Advanced: A Survey
This is a working document describing the Enhanced Inter-cell Interference Coordination (E-ICIC) introduced in LTE-Advanced
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Heterogeneous networks (het-nets) - comprising of conventional macrocell base stations overlaid with femtocells, picocells and wireless relays - offer cellular operators burgeoning traffic demands through cell-splitting gains obtained by bringing users closer to their access points. However, the often random and unpl...
[ { "created": "Tue, 6 Dec 2011 16:47:22 GMT", "version": "v1" }, { "created": "Wed, 7 Dec 2011 16:45:36 GMT", "version": "v2" } ]
2011-12-08
[ [ "Lindbom", "Lars", "", "Ericsson" ], [ "Love", "Robert", "", "Motorola\n Mobility" ], [ "Krishnamurthy", "Sandeep", "", "Motorola\n Mobility" ], [ "Yao", "Chunhai", "", "Nokia Siemens Networks" ], [ "Miki", "Nobuhiko", "...
Heterogeneous networks (het-nets) - comprising of conventional macrocell base stations overlaid with femtocells, picocells and wireless relays - offer cellular operators burgeoning traffic demands through cell-splitting gains obtained by bringing users closer to their access points. However, the often random and unplan...
2005.06316
Masanobu Horie
Masanobu Horie, Naoki Morita, Toshiaki Hishinuma, Yu Ihara, Naoto Mitsume
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
Published as a conference paper at ICLR 2021
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graphs are one of the most important data structures for representing pairwise relations between objects. Specifically, a graph embedded in a Euclidean space is essential to solving real problems, such as physical simulations. A crucial requirement for applying graphs in Euclidean spaces to physical simulations is le...
[ { "created": "Wed, 13 May 2020 13:44:44 GMT", "version": "v1" }, { "created": "Thu, 8 Oct 2020 05:22:12 GMT", "version": "v2" }, { "created": "Mon, 21 Dec 2020 18:30:44 GMT", "version": "v3" }, { "created": "Wed, 10 Mar 2021 12:41:51 GMT", "version": "v4" } ]
2021-03-11
[ [ "Horie", "Masanobu", "" ], [ "Morita", "Naoki", "" ], [ "Hishinuma", "Toshiaki", "" ], [ "Ihara", "Yu", "" ], [ "Mitsume", "Naoto", "" ] ]
Graphs are one of the most important data structures for representing pairwise relations between objects. Specifically, a graph embedded in a Euclidean space is essential to solving real problems, such as physical simulations. A crucial requirement for applying graphs in Euclidean spaces to physical simulations is lear...
1711.11114
Zhiyuan Jiang
Zhiyuan Jiang and Sheng Zhou and Xueying Guo and Zhisheng Niu
Task Replication for Deadline-Constrained Vehicular Cloud Computing: Optimal Policy, Performance Analysis and Implications on Road Traffic
accepted by Internet of Things Journal
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In vehicular cloud computing (VCC) systems, the computational resources of moving vehicles are exploited and managed by infrastructures, e.g., roadside units, to provide computational services. The offloading of computational tasks and collection of results rely on successful transmissions between vehicles and infras...
[ { "created": "Wed, 29 Nov 2017 21:35:54 GMT", "version": "v1" } ]
2017-12-01
[ [ "Jiang", "Zhiyuan", "" ], [ "Zhou", "Sheng", "" ], [ "Guo", "Xueying", "" ], [ "Niu", "Zhisheng", "" ] ]
In vehicular cloud computing (VCC) systems, the computational resources of moving vehicles are exploited and managed by infrastructures, e.g., roadside units, to provide computational services. The offloading of computational tasks and collection of results rely on successful transmissions between vehicles and infrastr...
1612.07514
Gaetan de Rassenfosse
Gaetan de Rassenfosse, Martin Kracker, Gianluca Tarasconi
Getting Started with PATSTAT Register
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper provides a technical introduction to the PATSTAT Register database, which contains bibliographical, procedural and legal status data on patent applications handled by the European Patent Office. It presents eight MySQL queries that cover some of the most relevant aspects of the database for research purpos...
[ { "created": "Thu, 22 Dec 2016 10:05:45 GMT", "version": "v1" } ]
2016-12-23
[ [ "de Rassenfosse", "Gaetan", "" ], [ "Kracker", "Martin", "" ], [ "Tarasconi", "Gianluca", "" ] ]
This paper provides a technical introduction to the PATSTAT Register database, which contains bibliographical, procedural and legal status data on patent applications handled by the European Patent Office. It presents eight MySQL queries that cover some of the most relevant aspects of the database for research purposes...
2305.05308
Chadnra Sekhar Sanaboina Dr
Chandra Sekhar Sanaboina, Pallamsetty Sanaboina
Impact of Mobility on Power Consumption in RPL
15 Pages
null
null
null
cs.NI
http://creativecommons.org/licenses/by-nc-sa/4.0/
The main theme of this paper is to implement the mobility model in Cooja simulator and to investigate the impact of the mobility on the performance of Routing Protocol over Low power Lossy networks (RPL) in the IoT environment. In the real world, mobility occurs frequently. Therefore in this paper, a frequently used ...
[ { "created": "Tue, 9 May 2023 09:59:36 GMT", "version": "v1" } ]
2023-05-10
[ [ "Sanaboina", "Chandra Sekhar", "" ], [ "Sanaboina", "Pallamsetty", "" ] ]
The main theme of this paper is to implement the mobility model in Cooja simulator and to investigate the impact of the mobility on the performance of Routing Protocol over Low power Lossy networks (RPL) in the IoT environment. In the real world, mobility occurs frequently. Therefore in this paper, a frequently used mo...
2208.12904
Xiaoge Zhang
Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu
A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives
null
null
null
null
cs.LG math.OC
http://creativecommons.org/licenses/by/4.0/
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented attention because of its promise to further optimize process design, quality control, health monitoring, decision and policy making, and more, by comprehensively modeling the physical world as a group of interconnected digital...
[ { "created": "Sat, 27 Aug 2022 01:36:15 GMT", "version": "v1" } ]
2022-08-30
[ [ "Thelen", "Adam", "" ], [ "Zhang", "Xiaoge", "" ], [ "Fink", "Olga", "" ], [ "Lu", "Yan", "" ], [ "Ghosh", "Sayan", "" ], [ "Youn", "Byeng D.", "" ], [ "Todd", "Michael D.", "" ], [ "Mahadevan", ...
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented attention because of its promise to further optimize process design, quality control, health monitoring, decision and policy making, and more, by comprehensively modeling the physical world as a group of interconnected digital m...
1907.08686
Zhipeng Li
Zhipeng Li, Jianwei Wu, Lin Sun, Tao Rong
Combinatorial Keyword Recommendations for Sponsored Search with Deep Reinforcement Learning
6 pages, adKDD 2019
In Proceedings of 2019 AdKDD, Anchorage, Alaska, USA, August, 2019, 6 pages
null
null
cs.IR cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In sponsored search, keyword recommendations help advertisers to achieve much better performance within limited budget. Many works have been done to mine numerous candidate keywords from search logs or landing pages. However, the strategy to select from given candidates remains to be improved. The existing relevance-...
[ { "created": "Thu, 18 Jul 2019 13:29:04 GMT", "version": "v1" } ]
2019-07-23
[ [ "Li", "Zhipeng", "" ], [ "Wu", "Jianwei", "" ], [ "Sun", "Lin", "" ], [ "Rong", "Tao", "" ] ]
In sponsored search, keyword recommendations help advertisers to achieve much better performance within limited budget. Many works have been done to mine numerous candidate keywords from search logs or landing pages. However, the strategy to select from given candidates remains to be improved. The existing relevance-ba...
1005.4584
Rdv Ijcsis
R. Sivaraman, R.M. Chandrasekaran
Effective Query Retrieval System In Mobile Business Environment
IEEE Publication format, International Journal of Computer Science and Information Security, IJCSIS, Vol. 7 No. 3, March 2010, USA. ISSN 1947 5500, http://sites.google.com/site/ijcsis/
null
null
null
cs.OH
http://creativecommons.org/licenses/by-nc-sa/3.0/
Web Based Query Management System (WBQMS) is a methodology to design and to implement Mobile Business, in which a server is the gateway to connect databases with clients which sends requests and receives responses in a distributive manner. The gateway, which communicates with mobile phone via GSM Modem, receives the ...
[ { "created": "Thu, 6 May 2010 19:08:26 GMT", "version": "v1" } ]
2010-05-26
[ [ "Sivaraman", "R.", "" ], [ "Chandrasekaran", "R. M.", "" ] ]
Web Based Query Management System (WBQMS) is a methodology to design and to implement Mobile Business, in which a server is the gateway to connect databases with clients which sends requests and receives responses in a distributive manner. The gateway, which communicates with mobile phone via GSM Modem, receives the co...
2009.06978
Xiang Gao
Xiang Gao, Yizhe Zhang, Michel Galley, Chris Brockett, Bill Dolan
Dialogue Response Ranking Training with Large-Scale Human Feedback Data
Accepted to appear at EMNLP 2020
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing open-domain dialog models are generally trained to minimize the perplexity of target human responses. However, some human replies are more engaging than others, spawning more followup interactions. Current conversational models are increasingly capable of producing turns that are context-relevant, but in ord...
[ { "created": "Tue, 15 Sep 2020 10:50:05 GMT", "version": "v1" } ]
2020-09-16
[ [ "Gao", "Xiang", "" ], [ "Zhang", "Yizhe", "" ], [ "Galley", "Michel", "" ], [ "Brockett", "Chris", "" ], [ "Dolan", "Bill", "" ] ]
Existing open-domain dialog models are generally trained to minimize the perplexity of target human responses. However, some human replies are more engaging than others, spawning more followup interactions. Current conversational models are increasingly capable of producing turns that are context-relevant, but in order...
1807.03342
Peng Tang
Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan Yuille
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
Accepted by TPAMI. Codes are available at https://github.com/ppengtang/oicr/tree/pcl
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Weakly Supervised Object Detection (WSOD), using only image-level annotations to train object detectors, is of growing importance in object recognition. In this paper, we propose a novel deep network for WSOD. Unlike previous networks that transfer the object detection problem to an image classification problem using...
[ { "created": "Mon, 9 Jul 2018 18:59:29 GMT", "version": "v1" }, { "created": "Sat, 13 Oct 2018 18:28:09 GMT", "version": "v2" } ]
2018-10-16
[ [ "Tang", "Peng", "" ], [ "Wang", "Xinggang", "" ], [ "Bai", "Song", "" ], [ "Shen", "Wei", "" ], [ "Bai", "Xiang", "" ], [ "Liu", "Wenyu", "" ], [ "Yuille", "Alan", "" ] ]
Weakly Supervised Object Detection (WSOD), using only image-level annotations to train object detectors, is of growing importance in object recognition. In this paper, we propose a novel deep network for WSOD. Unlike previous networks that transfer the object detection problem to an image classification problem using M...
1605.04063
Ziling Heng
Ziling Heng and Qin Yue
A construction of $q$-ary linear codes with two weights
19 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Linear codes with a few weights are very important in coding theory and have attracted a lot of attention. In this paper, we present a construction of $q$-ary linear codes from trace and norm functions over finite fields. The weight distributions of the linear codes are determined in some cases based on Gauss sums. I...
[ { "created": "Fri, 13 May 2016 06:41:42 GMT", "version": "v1" }, { "created": "Mon, 24 Jul 2017 02:11:50 GMT", "version": "v2" } ]
2017-07-25
[ [ "Heng", "Ziling", "" ], [ "Yue", "Qin", "" ] ]
Linear codes with a few weights are very important in coding theory and have attracted a lot of attention. In this paper, we present a construction of $q$-ary linear codes from trace and norm functions over finite fields. The weight distributions of the linear codes are determined in some cases based on Gauss sums. It ...
2306.00804
Tianyi Xu
Tianyi Xu, Zhanheng Yang, Kaixun Huang, Pengcheng Guo, Ao Zhang, Biao Li, Changru Chen, Chao Li, Lei Xie
Adaptive Contextual Biasing for Transducer Based Streaming Speech Recognition
null
null
null
null
cs.SD cs.CL eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
By incorporating additional contextual information, deep biasing methods have emerged as a promising solution for speech recognition of personalized words. However, for real-world voice assistants, always biasing on such personalized words with high prediction scores can significantly degrade the performance of recog...
[ { "created": "Thu, 1 Jun 2023 15:33:30 GMT", "version": "v1" }, { "created": "Sat, 15 Jul 2023 09:35:05 GMT", "version": "v2" }, { "created": "Tue, 15 Aug 2023 04:36:14 GMT", "version": "v3" } ]
2023-08-16
[ [ "Xu", "Tianyi", "" ], [ "Yang", "Zhanheng", "" ], [ "Huang", "Kaixun", "" ], [ "Guo", "Pengcheng", "" ], [ "Zhang", "Ao", "" ], [ "Li", "Biao", "" ], [ "Chen", "Changru", "" ], [ "Li", "Chao", ...
By incorporating additional contextual information, deep biasing methods have emerged as a promising solution for speech recognition of personalized words. However, for real-world voice assistants, always biasing on such personalized words with high prediction scores can significantly degrade the performance of recogni...
2202.03243
Markus Nemitz
Tyler C. Looney, Nathan M. Savard, Gus T. Teran, Archie G. Milligan, Ryley I. Wheelock, Michael Scalise, Daniel P. Perno, Gregory C. Lewin, Carlo Pinciroli, Cagdas D. Onal, and Markus P. Nemitz
Air-Releasable Soft Robots for Explosive Ordnance Disposal
Accepted manuscript: IEEE Soft Robotics Conference, Edinburgh, 2022
null
null
null
cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by-nc-nd/4.0/
The demining of landmines using drones is challenging; air-releasable payloads are typically non-intelligent (e.g., water balloons or explosives) and deploying them at even low altitudes (~6 meter) is inherently inaccurate due to complex deployment trajectories and constrained visual awareness by the drone pilot. Sof...
[ { "created": "Mon, 7 Feb 2022 14:47:31 GMT", "version": "v1" } ]
2022-02-08
[ [ "Looney", "Tyler C.", "" ], [ "Savard", "Nathan M.", "" ], [ "Teran", "Gus T.", "" ], [ "Milligan", "Archie G.", "" ], [ "Wheelock", "Ryley I.", "" ], [ "Scalise", "Michael", "" ], [ "Perno", "Daniel P.", "...
The demining of landmines using drones is challenging; air-releasable payloads are typically non-intelligent (e.g., water balloons or explosives) and deploying them at even low altitudes (~6 meter) is inherently inaccurate due to complex deployment trajectories and constrained visual awareness by the drone pilot. Soft ...
1810.11280
Elias D\"ohne
Elias D\"ohne
Virtual Network Embedding via Decomposable LP Formulations: Orientations of Small Extraction Width and Beyond
This work is a minor revision of the author's M.Sc. thesis in Computer Science at Technische Universit\"at Berlin
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Virtual Network Embedding Problem (VNEP) considers the efficient allocation of resources distributed in a substrate network to a set of request networks. Many existing works discuss either heuristics or exact algorithms, resulting in a choice between quick runtimes and quality guarantees for the solutions. Recent...
[ { "created": "Fri, 26 Oct 2018 11:51:50 GMT", "version": "v1" } ]
2018-10-29
[ [ "Döhne", "Elias", "" ] ]
The Virtual Network Embedding Problem (VNEP) considers the efficient allocation of resources distributed in a substrate network to a set of request networks. Many existing works discuss either heuristics or exact algorithms, resulting in a choice between quick runtimes and quality guarantees for the solutions. Recently...
1007.2119
Symeon Chatzinotas Dr
Symeon Chatzinotas, Bjorn Ottersten
Free Probability based Capacity Calculation of Multiantenna Gaussian Fading Channels with Cochannel Interference
16 pages, 4 figures, 1 table
null
10.1016/j.phycom.2011.03.004
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
During the last decade, it has been well understood that communication over multiple antennas can increase linearly the multiplexing capacity gain and provide large spectral efficiency improvements. However, the majority of studies in this area were carried out ignoring cochannel interference. Only a small number of ...
[ { "created": "Tue, 13 Jul 2010 14:48:13 GMT", "version": "v1" }, { "created": "Fri, 18 Mar 2011 15:49:23 GMT", "version": "v2" } ]
2011-05-31
[ [ "Chatzinotas", "Symeon", "" ], [ "Ottersten", "Bjorn", "" ] ]
During the last decade, it has been well understood that communication over multiple antennas can increase linearly the multiplexing capacity gain and provide large spectral efficiency improvements. However, the majority of studies in this area were carried out ignoring cochannel interference. Only a small number of in...
2311.05874
Wasim Huleihel
Vered Paslev and Wasim Huleihel
Testing Dependency of Unlabeled Databases
39 pages
null
null
null
cs.LG cs.IT math.IT math.ST stat.TH
http://creativecommons.org/licenses/by/4.0/
In this paper, we investigate the problem of deciding whether two random databases $\mathsf{X}\in\mathcal{X}^{n\times d}$ and $\mathsf{Y}\in\mathcal{Y}^{n\times d}$ are statistically dependent or not. This is formulated as a hypothesis testing problem, where under the null hypothesis, these two databases are statisti...
[ { "created": "Fri, 10 Nov 2023 05:17:03 GMT", "version": "v1" } ]
2023-11-13
[ [ "Paslev", "Vered", "" ], [ "Huleihel", "Wasim", "" ] ]
In this paper, we investigate the problem of deciding whether two random databases $\mathsf{X}\in\mathcal{X}^{n\times d}$ and $\mathsf{Y}\in\mathcal{Y}^{n\times d}$ are statistically dependent or not. This is formulated as a hypothesis testing problem, where under the null hypothesis, these two databases are statistica...
2307.08286
Zhanpeng Zhou
Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity
25 pages, 23 figures
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)
null
null
cs.LG cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent work has revealed many intriguing empirical phenomena in neural network training, despite the poorly understood and highly complex loss landscapes and training dynamics. One of these phenomena, Linear Mode Connectivity (LMC), has gained considerable attention due to the intriguing observation that different so...
[ { "created": "Mon, 17 Jul 2023 07:16:28 GMT", "version": "v1" }, { "created": "Mon, 13 Nov 2023 08:25:48 GMT", "version": "v2" } ]
2023-11-14
[ [ "Zhou", "Zhanpeng", "" ], [ "Yang", "Yongyi", "" ], [ "Yang", "Xiaojiang", "" ], [ "Yan", "Junchi", "" ], [ "Hu", "Wei", "" ] ]
Recent work has revealed many intriguing empirical phenomena in neural network training, despite the poorly understood and highly complex loss landscapes and training dynamics. One of these phenomena, Linear Mode Connectivity (LMC), has gained considerable attention due to the intriguing observation that different solu...
2011.07916
Jingjing Gong
Jingjing Gong, Hang Yan, Yining Zheng, Xipeng Qiu and Xuanjing Huang
Text Information Aggregation with Centrality Attention
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A lot of natural language processing problems need to encode the text sequence as a fix-length vector, which usually involves aggregation process of combining the representations of all the words, such as pooling or self-attention. However, these widely used aggregation approaches did not take higher-order relationsh...
[ { "created": "Mon, 16 Nov 2020 13:08:48 GMT", "version": "v1" } ]
2020-11-17
[ [ "Gong", "Jingjing", "" ], [ "Yan", "Hang", "" ], [ "Zheng", "Yining", "" ], [ "Qiu", "Xipeng", "" ], [ "Huang", "Xuanjing", "" ] ]
A lot of natural language processing problems need to encode the text sequence as a fix-length vector, which usually involves aggregation process of combining the representations of all the words, such as pooling or self-attention. However, these widely used aggregation approaches did not take higher-order relationship...
2012.14053
Yang Lyu Dr
Yang Lyu, Thien-Minh Nguyen, Liu Liu, Muqing Cao, Shenghai Yuan, Thien Hoang Nguyen and Lihua Xie
SPINS: Structure Priors aided Inertial Navigation System
31 pages, 14 figures
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Although Simultaneous Localization and Mapping (SLAM) has been an active research topic for decades, current state-of-the-art methods still suffer from instability or inaccuracy due to feature insufficiency or its inherent estimation drift, in many civilian environments. To resolve these issues, we propose a navigati...
[ { "created": "Mon, 28 Dec 2020 01:48:10 GMT", "version": "v1" }, { "created": "Wed, 27 Jul 2022 01:14:08 GMT", "version": "v2" } ]
2022-07-28
[ [ "Lyu", "Yang", "" ], [ "Nguyen", "Thien-Minh", "" ], [ "Liu", "Liu", "" ], [ "Cao", "Muqing", "" ], [ "Yuan", "Shenghai", "" ], [ "Nguyen", "Thien Hoang", "" ], [ "Xie", "Lihua", "" ] ]
Although Simultaneous Localization and Mapping (SLAM) has been an active research topic for decades, current state-of-the-art methods still suffer from instability or inaccuracy due to feature insufficiency or its inherent estimation drift, in many civilian environments. To resolve these issues, we propose a navigation...
2301.04875
Zheng Qi
Zheng Qi, AprilPyone MaungMaung, Hitoshi Kiya
Color-NeuraCrypt: Privacy-Preserving Color-Image Classification Using Extended Random Neural Networks
null
null
null
null
cs.CR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, with the development of cloud computing platforms, privacy-preserving methods for deep learning have become an urgent problem. NeuraCrypt is a private random neural network for privacy-preserving that allows data owners to encrypt the medical data before the data uploading, and data owners can train ...
[ { "created": "Thu, 12 Jan 2023 08:47:33 GMT", "version": "v1" } ]
2023-01-13
[ [ "Qi", "Zheng", "" ], [ "MaungMaung", "AprilPyone", "" ], [ "Kiya", "Hitoshi", "" ] ]
In recent years, with the development of cloud computing platforms, privacy-preserving methods for deep learning have become an urgent problem. NeuraCrypt is a private random neural network for privacy-preserving that allows data owners to encrypt the medical data before the data uploading, and data owners can train an...
2302.09775
Mehrdad Ranjbar Khadivi
Mehrdad Ranjbar-Khadivi, Shahin Akbarpour, Mohammad-Reza Feizi-Derakhshi, Babak Anari
Persian topic detection based on Human Word association and graph embedding
null
null
null
null
cs.CL cs.AI cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a framework to detect topics in social media based on Human Word Association. Identifying topics discussed in these media has become a critical and significant challenge. Most of the work done in this area is in English, but much has been done in the Persian language, especially microblogs w...
[ { "created": "Mon, 20 Feb 2023 05:46:47 GMT", "version": "v1" }, { "created": "Tue, 18 Jul 2023 10:19:50 GMT", "version": "v2" } ]
2023-07-19
[ [ "Ranjbar-Khadivi", "Mehrdad", "" ], [ "Akbarpour", "Shahin", "" ], [ "Feizi-Derakhshi", "Mohammad-Reza", "" ], [ "Anari", "Babak", "" ] ]
In this paper, we propose a framework to detect topics in social media based on Human Word Association. Identifying topics discussed in these media has become a critical and significant challenge. Most of the work done in this area is in English, but much has been done in the Persian language, especially microblogs wri...
2009.05429
Steven Morad
Steven D. Morad, Roberto Mecca, Rudra P.K. Poudel, Stephan Liwicki, and Roberto Cipolla
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments
null
null
10.1109/LRA.2020.3048662
null
cs.RO cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present NavACL, a method of automatic curriculum learning tailored to the navigation task. NavACL is simple to train and efficiently selects relevant tasks using geometric features. In our experiments, deep reinforcement learning agents trained using NavACL significantly outperform state-of-the-art agents trained ...
[ { "created": "Fri, 11 Sep 2020 13:28:26 GMT", "version": "v1" }, { "created": "Wed, 6 Jan 2021 18:29:42 GMT", "version": "v2" } ]
2021-01-07
[ [ "Morad", "Steven D.", "" ], [ "Mecca", "Roberto", "" ], [ "Poudel", "Rudra P. K.", "" ], [ "Liwicki", "Stephan", "" ], [ "Cipolla", "Roberto", "" ] ]
We present NavACL, a method of automatic curriculum learning tailored to the navigation task. NavACL is simple to train and efficiently selects relevant tasks using geometric features. In our experiments, deep reinforcement learning agents trained using NavACL significantly outperform state-of-the-art agents trained wi...
2403.05579
Uwe Peters
Uwe Peters, Mary Carman
Cultural Bias in Explainable AI Research: A Systematic Analysis
null
null
null
null
cs.HC cs.AI cs.CY
http://creativecommons.org/licenses/by/4.0/
For synergistic interactions between humans and artificial intelligence (AI) systems, AI outputs often need to be explainable to people. Explainable AI (XAI) systems are commonly tested in human user studies. However, whether XAI researchers consider potential cultural differences in human explanatory needs remains u...
[ { "created": "Wed, 28 Feb 2024 19:30:32 GMT", "version": "v1" } ]
2024-03-12
[ [ "Peters", "Uwe", "" ], [ "Carman", "Mary", "" ] ]
For synergistic interactions between humans and artificial intelligence (AI) systems, AI outputs often need to be explainable to people. Explainable AI (XAI) systems are commonly tested in human user studies. However, whether XAI researchers consider potential cultural differences in human explanatory needs remains une...
1312.1529
Kees Middelburg
J. A. Bergstra, C. A. Middelburg
Instruction sequences expressing multiplication algorithms
14 pages, the preliminaries of this paper and arXiv:1308.0219 are the same; 16 pages, results sharpened and presentation improved; 22 pages, combined with arXiv:1312.1812; 22 pages, typos corrected and explanation added
Scientific Annals of Computer Science 28(1):39--66, 2018
10.7561/SACS.2018.1.39
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For each function on bit strings, its restriction to bit strings of any given length can be computed by a finite instruction sequence that contains only instructions to set and get the content of Boolean registers, forward jump instructions, and a termination instruction. We describe instruction sequences of this kin...
[ { "created": "Thu, 5 Dec 2013 12:53:56 GMT", "version": "v1" }, { "created": "Mon, 6 Nov 2017 14:14:49 GMT", "version": "v2" }, { "created": "Wed, 29 Nov 2017 14:13:04 GMT", "version": "v3" }, { "created": "Sun, 1 Jul 2018 10:08:12 GMT", "version": "v4" } ]
2018-09-28
[ [ "Bergstra", "J. A.", "" ], [ "Middelburg", "C. A.", "" ] ]
For each function on bit strings, its restriction to bit strings of any given length can be computed by a finite instruction sequence that contains only instructions to set and get the content of Boolean registers, forward jump instructions, and a termination instruction. We describe instruction sequences of this kind ...
2005.00781
Debashisha Mishra
Debashisha Mishra and Enrico Natalizio
A Survey on Cellular-connected UAVs: Design Challenges, Enabling 5G/B5G Innovations, and Experimental Advancements
30 pages, 18 figures, 9 tables, 102 references, journal submission
null
null
null
cs.NI eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As an emerging field of aerial robotics, Unmanned Aerial Vehicles (UAVs) have gained significant research interest within the wireless networking research community. As soon as national legislations allow UAVs to fly autonomously, we will see swarms of UAV populating the sky of our smart cities to accomplish differen...
[ { "created": "Sat, 2 May 2020 10:35:33 GMT", "version": "v1" } ]
2020-05-05
[ [ "Mishra", "Debashisha", "" ], [ "Natalizio", "Enrico", "" ] ]
As an emerging field of aerial robotics, Unmanned Aerial Vehicles (UAVs) have gained significant research interest within the wireless networking research community. As soon as national legislations allow UAVs to fly autonomously, we will see swarms of UAV populating the sky of our smart cities to accomplish different ...
2404.11416
Xiao Wu
Zihan Cao, Xiao Wu, Liang-Jian Deng
Neural Shr\"odinger Bridge Matching for Pansharpening
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Recent diffusion probabilistic models (DPM) in the field of pansharpening have been gradually gaining attention and have achieved state-of-the-art (SOTA) performance. In this paper, we identify shortcomings in directly applying DPMs to the task of pansharpening as an inverse problem: 1) initiating sampling directly f...
[ { "created": "Wed, 17 Apr 2024 14:17:05 GMT", "version": "v1" } ]
2024-04-18
[ [ "Cao", "Zihan", "" ], [ "Wu", "Xiao", "" ], [ "Deng", "Liang-Jian", "" ] ]
Recent diffusion probabilistic models (DPM) in the field of pansharpening have been gradually gaining attention and have achieved state-of-the-art (SOTA) performance. In this paper, we identify shortcomings in directly applying DPMs to the task of pansharpening as an inverse problem: 1) initiating sampling directly fro...
2010.05858
Mark Fonaryov
Mark Fonaryov and Michael Lindenbaum
On the Minimal Recognizable Image Patch
Submitted to ICPR2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In contrast to human vision, common recognition algorithms often fail on partially occluded images. We propose characterizing, empirically, the algorithmic limits by finding a minimal recognizable patch (MRP) that is by itself sufficient to recognize the image. A specialized deep network allows us to find the most in...
[ { "created": "Mon, 12 Oct 2020 17:06:16 GMT", "version": "v1" } ]
2020-10-13
[ [ "Fonaryov", "Mark", "" ], [ "Lindenbaum", "Michael", "" ] ]
In contrast to human vision, common recognition algorithms often fail on partially occluded images. We propose characterizing, empirically, the algorithmic limits by finding a minimal recognizable patch (MRP) that is by itself sufficient to recognize the image. A specialized deep network allows us to find the most info...
2203.02883
Zhiyi Huang
Zhiyi Huang and Xinkai Shu and Shuyi Yan
The Power of Multiple Choices in Online Stochastic Matching
STOC 2022
null
null
null
cs.DS cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the power of multiple choices in online stochastic matching. Despite a long line of research, existing algorithms still only consider two choices of offline neighbors for each online vertex because of the technical challenge in analyzing multiple choices. This paper introduces two approaches for designing an...
[ { "created": "Sun, 6 Mar 2022 06:00:03 GMT", "version": "v1" } ]
2022-03-08
[ [ "Huang", "Zhiyi", "" ], [ "Shu", "Xinkai", "" ], [ "Yan", "Shuyi", "" ] ]
We study the power of multiple choices in online stochastic matching. Despite a long line of research, existing algorithms still only consider two choices of offline neighbors for each online vertex because of the technical challenge in analyzing multiple choices. This paper introduces two approaches for designing and ...
2210.09802
Xiaoyu Fan
Xiaoyu Fan, Kun Chen, Guosai Wang, Mingchun Zhuang, Yi Li and Wei Xu
NFGen: Automatic Non-linear Function Evaluation Code Generator for General-purpose MPC Platforms
20 pages, full version of CCS22 paper
CCS '22, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, November 7--11, 2022, Los Angeles, CA, USA
10.1145/3548606.3560565
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Due to the absence of a library for non-linear function evaluation, so-called general-purpose secure multi-party computation (MPC) are not as ''general'' as MPC programmers expect. Prior arts either naively reuse plaintext methods, resulting in suboptimal performance and even incorrect results, or handcraft ad hoc ap...
[ { "created": "Tue, 18 Oct 2022 12:25:22 GMT", "version": "v1" } ]
2022-10-19
[ [ "Fan", "Xiaoyu", "" ], [ "Chen", "Kun", "" ], [ "Wang", "Guosai", "" ], [ "Zhuang", "Mingchun", "" ], [ "Li", "Yi", "" ], [ "Xu", "Wei", "" ] ]
Due to the absence of a library for non-linear function evaluation, so-called general-purpose secure multi-party computation (MPC) are not as ''general'' as MPC programmers expect. Prior arts either naively reuse plaintext methods, resulting in suboptimal performance and even incorrect results, or handcraft ad hoc appr...
1702.00353
Damien Woods
Pierre-\'Etienne Meunier and Damien Woods
The non-cooperative tile assembly model is not intrinsically universal or capable of bounded Turing machine simulation
Extended version of STOC 2017 paper
null
null
null
cs.CC cs.CG cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The field of algorithmic self-assembly is concerned with the computational and expressive power of nanoscale self-assembling molecular systems. In the well-studied cooperative, or temperature 2, abstract tile assembly model it is known that there is a tile set to simulate any Turing machine and an intrinsically unive...
[ { "created": "Wed, 1 Feb 2017 16:55:41 GMT", "version": "v1" }, { "created": "Tue, 30 May 2017 17:13:57 GMT", "version": "v2" } ]
2017-05-31
[ [ "Meunier", "Pierre-Étienne", "" ], [ "Woods", "Damien", "" ] ]
The field of algorithmic self-assembly is concerned with the computational and expressive power of nanoscale self-assembling molecular systems. In the well-studied cooperative, or temperature 2, abstract tile assembly model it is known that there is a tile set to simulate any Turing machine and an intrinsically univers...
1805.04599
Joshua Daymude
Sarah Cannon and Joshua J. Daymude and Cem Gokmen and Dana Randall and Andr\'ea W. Richa
A Local Stochastic Algorithm for Separation in Heterogeneous Self-Organizing Particle Systems
null
null
null
null
cs.DC cs.DS cs.ET math-ph math.MP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present and rigorously analyze the behavior of a distributed, stochastic algorithm for separation and integration in self-organizing particle systems, an abstraction of programmable matter. Such systems are composed of individual computational particles with limited memory, strictly local communication abilities, ...
[ { "created": "Fri, 11 May 2018 21:46:59 GMT", "version": "v1" }, { "created": "Tue, 4 Jun 2019 04:41:19 GMT", "version": "v2" } ]
2019-06-06
[ [ "Cannon", "Sarah", "" ], [ "Daymude", "Joshua J.", "" ], [ "Gokmen", "Cem", "" ], [ "Randall", "Dana", "" ], [ "Richa", "Andréa W.", "" ] ]
We present and rigorously analyze the behavior of a distributed, stochastic algorithm for separation and integration in self-organizing particle systems, an abstraction of programmable matter. Such systems are composed of individual computational particles with limited memory, strictly local communication abilities, an...
2110.14573
Chao Cao
Chao Cao, Hongbiao Zhu, Fan Yang, Yukun Xia, Howie Choset, Jean Oh, Ji Zhang
Autonomous Exploration Development Environment and the Planning Algorithms
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Autonomous Exploration Development Environment is an open-source repository released to facilitate the development of high-level planning algorithms and integration of complete autonomous navigation systems. The repository contains representative simulation environment models, fundamental navigation modules, e.g., lo...
[ { "created": "Wed, 27 Oct 2021 16:42:54 GMT", "version": "v1" } ]
2021-10-28
[ [ "Cao", "Chao", "" ], [ "Zhu", "Hongbiao", "" ], [ "Yang", "Fan", "" ], [ "Xia", "Yukun", "" ], [ "Choset", "Howie", "" ], [ "Oh", "Jean", "" ], [ "Zhang", "Ji", "" ] ]
Autonomous Exploration Development Environment is an open-source repository released to facilitate the development of high-level planning algorithms and integration of complete autonomous navigation systems. The repository contains representative simulation environment models, fundamental navigation modules, e.g., loca...
1408.5980
EPTCS
Ornela Dardha (School of Computing Science, University of Glasgow)
Recursive Session Types Revisited
In Proceedings BEAT 2014, arXiv:1408.5564
EPTCS 162, 2014, pp. 27-34
10.4204/EPTCS.162.4
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Session types model structured communication-based programming. In particular, binary session types for the pi-calculus describe communication between exactly two participants in a distributed scenario. Adding sessions to the pi-calculus means augmenting it with type and term constructs. In a previous paper, we tried...
[ { "created": "Tue, 26 Aug 2014 02:15:51 GMT", "version": "v1" } ]
2014-08-27
[ [ "Dardha", "Ornela", "", "School of Computing Science, University of Glasgow" ] ]
Session types model structured communication-based programming. In particular, binary session types for the pi-calculus describe communication between exactly two participants in a distributed scenario. Adding sessions to the pi-calculus means augmenting it with type and term constructs. In a previous paper, we tried t...
2408.00741
Jovan Stojkovic
Jovan Stojkovic and Chaojie Zhang and \'I\~nigo Goiri and Josep Torrellas and Esha Choukse
DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency
null
null
null
null
cs.AI cs.AR cs.DC
http://creativecommons.org/licenses/by-nc-sa/4.0/
The rapid evolution and widespread adoption of generative large language models (LLMs) have made them a pivotal workload in various applications. Today, LLM inference clusters receive a large number of queries with strict Service Level Objectives (SLOs). To achieve the desired performance, these models execute on pow...
[ { "created": "Thu, 1 Aug 2024 17:40:45 GMT", "version": "v1" } ]
2024-08-02
[ [ "Stojkovic", "Jovan", "" ], [ "Zhang", "Chaojie", "" ], [ "Goiri", "Íñigo", "" ], [ "Torrellas", "Josep", "" ], [ "Choukse", "Esha", "" ] ]
The rapid evolution and widespread adoption of generative large language models (LLMs) have made them a pivotal workload in various applications. Today, LLM inference clusters receive a large number of queries with strict Service Level Objectives (SLOs). To achieve the desired performance, these models execute on power...
2408.06731
Angus Williams
Angus R. Williams, Liam Burke-Moore, Ryan Sze-Yin Chan, Florence E. Enock, Federico Nanni, Tvesha Sippy, Yi-Ling Chung, Evelina Gabasova, Kobi Hackenburg, Jonathan Bright
Large language models can consistently generate high-quality content for election disinformation operations
null
null
null
null
cs.CY cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Advances in large language models have raised concerns about their potential use in generating compelling election disinformation at scale. This study presents a two-part investigation into the capabilities of LLMs to automate stages of an election disinformation operation. First, we introduce DisElect, a novel evalu...
[ { "created": "Tue, 13 Aug 2024 08:45:34 GMT", "version": "v1" } ]
2024-08-14
[ [ "Williams", "Angus R.", "" ], [ "Burke-Moore", "Liam", "" ], [ "Chan", "Ryan Sze-Yin", "" ], [ "Enock", "Florence E.", "" ], [ "Nanni", "Federico", "" ], [ "Sippy", "Tvesha", "" ], [ "Chung", "Yi-Ling", "" ...
Advances in large language models have raised concerns about their potential use in generating compelling election disinformation at scale. This study presents a two-part investigation into the capabilities of LLMs to automate stages of an election disinformation operation. First, we introduce DisElect, a novel evaluat...
2002.03016
Aaron Kandel
Aaron Kandel, Scott J. Moura
Safe Wasserstein Constrained Deep Q-Learning
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a distributionally robust Q-Learning algorithm (DrQ) which leverages Wasserstein ambiguity sets to provide idealistic probabilistic out-of-sample safety guarantees during online learning. First, we follow past work by separating the constraint functions from the principal objective to create a hie...
[ { "created": "Fri, 7 Feb 2020 21:23:46 GMT", "version": "v1" }, { "created": "Sun, 14 Jun 2020 20:08:04 GMT", "version": "v2" }, { "created": "Wed, 13 Oct 2021 22:23:09 GMT", "version": "v3" }, { "created": "Mon, 25 Oct 2021 20:13:22 GMT", "version": "v4" } ]
2021-10-27
[ [ "Kandel", "Aaron", "" ], [ "Moura", "Scott J.", "" ] ]
This paper presents a distributionally robust Q-Learning algorithm (DrQ) which leverages Wasserstein ambiguity sets to provide idealistic probabilistic out-of-sample safety guarantees during online learning. First, we follow past work by separating the constraint functions from the principal objective to create a hiera...
1209.2693
Daniil Ryabko
Ronald Ortner, Daniil Ryabko, Peter Auer, R\'emi Munos
Regret Bounds for Restless Markov Bandits
In proceedings of The 23rd International Conference on Algorithmic Learning Theory (ALT 2012)
Proceedings of ALT, Lyon, France, LNCS 7568, pp.214-228, 2012
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the restless Markov bandit problem, in which the state of each arm evolves according to a Markov process independently of the learner's actions. We suggest an algorithm that after $T$ steps achieves $\tilde{O}(\sqrt{T})$ regret with respect to the best policy that knows the distributions of all arms. No a...
[ { "created": "Wed, 12 Sep 2012 19:14:21 GMT", "version": "v1" } ]
2012-10-23
[ [ "Ortner", "Ronald", "" ], [ "Ryabko", "Daniil", "" ], [ "Auer", "Peter", "" ], [ "Munos", "Rémi", "" ] ]
We consider the restless Markov bandit problem, in which the state of each arm evolves according to a Markov process independently of the learner's actions. We suggest an algorithm that after $T$ steps achieves $\tilde{O}(\sqrt{T})$ regret with respect to the best policy that knows the distributions of all arms. No ass...
2402.07061
Hung P. Hoang
Sophia Heimann, Hung P. Hoang, Stefan Hougardy
The $k$-Opt algorithm for the Traveling Salesman Problem has exponential running time for $k \ge 5$
Appeared in ICALP 2024
null
null
null
cs.DS cs.DM math.CO
http://creativecommons.org/licenses/by-nc-nd/4.0/
The $k$-Opt algorithm is a local search algorithm for the Traveling Salesman Problem. Starting with an initial tour, it iteratively replaces at most $k$ edges in the tour with the same number of edges to obtain a better tour. Krentel (FOCS 1989) showed that the Traveling Salesman Problem with the $k$-Opt neighborhood...
[ { "created": "Sat, 10 Feb 2024 22:35:40 GMT", "version": "v1" }, { "created": "Thu, 13 Jun 2024 15:37:49 GMT", "version": "v2" } ]
2024-06-14
[ [ "Heimann", "Sophia", "" ], [ "Hoang", "Hung P.", "" ], [ "Hougardy", "Stefan", "" ] ]
The $k$-Opt algorithm is a local search algorithm for the Traveling Salesman Problem. Starting with an initial tour, it iteratively replaces at most $k$ edges in the tour with the same number of edges to obtain a better tour. Krentel (FOCS 1989) showed that the Traveling Salesman Problem with the $k$-Opt neighborhood i...
2205.12703
Marc Zeitoun
Thomas Place and Marc Zeitoun
All about unambiguous polynomial closure
null
TheoretiCS, Volume 2 (January 10, 2024) theoretics:9932
10.46298/theoretics.23.11
null
cs.FL
http://creativecommons.org/licenses/by/4.0/
We study a standard operator on classes of languages: unambiguous polynomial closure. We prove that for every class C of regular languages satisfying mild properties, the membership problem for its unambiguous polynomial closure UPol(C) reduces to the same problem for C. We also show that unambiguous polynomial closu...
[ { "created": "Wed, 25 May 2022 11:59:46 GMT", "version": "v1" }, { "created": "Sun, 14 Aug 2022 15:34:00 GMT", "version": "v2" }, { "created": "Thu, 21 Dec 2023 16:06:56 GMT", "version": "v3" }, { "created": "Fri, 22 Dec 2023 17:30:16 GMT", "version": "v4" } ]
2024-02-14
[ [ "Place", "Thomas", "" ], [ "Zeitoun", "Marc", "" ] ]
We study a standard operator on classes of languages: unambiguous polynomial closure. We prove that for every class C of regular languages satisfying mild properties, the membership problem for its unambiguous polynomial closure UPol(C) reduces to the same problem for C. We also show that unambiguous polynomial closure...
1311.2820
Vasilis Syrgkanis
Nikhil R. Devanur, Jamie Morgenstern, Vasilis Syrgkanis
Draft Auctions
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce draft auctions, which is a sequential auction format where at each iteration players bid for the right to buy items at a fixed price. We show that draft auctions offer an exponential improvement in social welfare at equilibrium over sequential item auctions where predetermined items are auctioned at each...
[ { "created": "Tue, 12 Nov 2013 15:59:15 GMT", "version": "v1" } ]
2013-11-13
[ [ "Devanur", "Nikhil R.", "" ], [ "Morgenstern", "Jamie", "" ], [ "Syrgkanis", "Vasilis", "" ] ]
We introduce draft auctions, which is a sequential auction format where at each iteration players bid for the right to buy items at a fixed price. We show that draft auctions offer an exponential improvement in social welfare at equilibrium over sequential item auctions where predetermined items are auctioned at each t...
2406.15244
Rui Pan
Yuxing Liu, Rui Pan, Tong Zhang
Large Batch Analysis for Adagrad Under Anisotropic Smoothness
null
null
null
null
cs.LG math.OC
http://creativecommons.org/licenses/by/4.0/
Adaptive gradient algorithms have been widely adopted in training large-scale deep neural networks, especially large foundation models. Despite their huge success in practice, their theoretical advantages over stochastic gradient descent (SGD) have not been fully understood, especially in the large batch-size setting...
[ { "created": "Fri, 21 Jun 2024 15:29:31 GMT", "version": "v1" } ]
2024-06-24
[ [ "Liu", "Yuxing", "" ], [ "Pan", "Rui", "" ], [ "Zhang", "Tong", "" ] ]
Adaptive gradient algorithms have been widely adopted in training large-scale deep neural networks, especially large foundation models. Despite their huge success in practice, their theoretical advantages over stochastic gradient descent (SGD) have not been fully understood, especially in the large batch-size setting c...
2109.03481
Shusheng Xu
Shusheng Xu, Xingxing Zhang, Yi Wu and Furu Wei
Sequence Level Contrastive Learning for Text Summarization
2 figures, 12 tables
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Contrastive learning models have achieved great success in unsupervised visual representation learning, which maximize the similarities between feature representations of different views of the same image, while minimize the similarities between feature representations of views of different images. In text summarizat...
[ { "created": "Wed, 8 Sep 2021 08:00:36 GMT", "version": "v1" }, { "created": "Fri, 24 Sep 2021 13:21:16 GMT", "version": "v2" }, { "created": "Sun, 9 Jan 2022 06:04:10 GMT", "version": "v3" }, { "created": "Wed, 12 Jan 2022 03:29:07 GMT", "version": "v4" } ]
2022-01-13
[ [ "Xu", "Shusheng", "" ], [ "Zhang", "Xingxing", "" ], [ "Wu", "Yi", "" ], [ "Wei", "Furu", "" ] ]
Contrastive learning models have achieved great success in unsupervised visual representation learning, which maximize the similarities between feature representations of different views of the same image, while minimize the similarities between feature representations of views of different images. In text summarizatio...
2404.14571
Ke Li
Ke Li
A Survey of Decomposition-Based Evolutionary Multi-Objective Optimization: Part I-Past and Future
40 pages, 8 figures. arXiv admin note: substantial text overlap with arXiv:2108.09588
null
null
COLALab Report #2024006
cs.NE
http://creativecommons.org/licenses/by/4.0/
Decomposition has been the mainstream approach in classic mathematical programming for multi-objective optimization and multi-criterion decision-making. However, it was not properly studied in the context of evolutionary multi-objective optimization (EMO) until the development of multi-objective evolutionary algorith...
[ { "created": "Mon, 22 Apr 2024 20:34:46 GMT", "version": "v1" } ]
2024-04-24
[ [ "Li", "Ke", "" ] ]
Decomposition has been the mainstream approach in classic mathematical programming for multi-objective optimization and multi-criterion decision-making. However, it was not properly studied in the context of evolutionary multi-objective optimization (EMO) until the development of multi-objective evolutionary algorithm ...
cs/0702139
Alexander Kholosha
Tor Helleseth and Alexander Kholosha and Geir Jarle Ness
Characterization of $m$-Sequences of Lengths $2^{2k}-1$ and $2^k-1$ with Three-Valued Crosscorrelation
23 pages
null
null
null
cs.CR cs.DM
null
Considered is the distribution of the crosscorrelation between $m$-sequences of length $2^m-1$, where $m=2k$, and $m$-sequences of shorter length $2^k-1$. New pairs of $m$-sequences with three-valued crosscorrelation are found and the complete correlation distribution is determined. Finally, we conjecture that there ...
[ { "created": "Fri, 23 Feb 2007 16:01:38 GMT", "version": "v1" } ]
2007-05-23
[ [ "Helleseth", "Tor", "" ], [ "Kholosha", "Alexander", "" ], [ "Ness", "Geir Jarle", "" ] ]
Considered is the distribution of the crosscorrelation between $m$-sequences of length $2^m-1$, where $m=2k$, and $m$-sequences of shorter length $2^k-1$. New pairs of $m$-sequences with three-valued crosscorrelation are found and the complete correlation distribution is determined. Finally, we conjecture that there ar...
1912.09657
Ran Averbuch
Ran Tamir (Averbuch), Neri Merhav, Nir Weinberger, Albert Guillen i Fabregas
Large Deviations Behavior of the Logarithmic Error Probability of Random Codes
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work studies the deviations of the error exponent of the constant composition code ensemble around its expectation, known as the error exponent of the typical random code (TRC). In particular, it is shown that the probability of randomly drawing a codebook whose error exponent is smaller than the TRC exponent is...
[ { "created": "Fri, 20 Dec 2019 06:39:55 GMT", "version": "v1" } ]
2019-12-23
[ [ "Tamir", "Ran", "", "Averbuch" ], [ "Merhav", "Neri", "" ], [ "Weinberger", "Nir", "" ], [ "Fabregas", "Albert Guillen i", "" ] ]
This work studies the deviations of the error exponent of the constant composition code ensemble around its expectation, known as the error exponent of the typical random code (TRC). In particular, it is shown that the probability of randomly drawing a codebook whose error exponent is smaller than the TRC exponent is e...