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1509.06533
Gianfranco Elena
Gianfranco Elena and Christopher W. Johnson
Factors influencing risk acceptance of Cloud Computing services in the UK Government
null
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cloud Computing services are increasingly being made available by the UK Government through the Government digital marketplace to reduce costs and improve IT efficiency; however, little is known about factors influencing the decision-making process to adopt cloud services within the UK Government. This research aims ...
[ { "created": "Tue, 22 Sep 2015 09:57:54 GMT", "version": "v1" } ]
2015-09-23
[ [ "Elena", "Gianfranco", "" ], [ "Johnson", "Christopher W.", "" ] ]
Cloud Computing services are increasingly being made available by the UK Government through the Government digital marketplace to reduce costs and improve IT efficiency; however, little is known about factors influencing the decision-making process to adopt cloud services within the UK Government. This research aims to...
2304.02330
Sanghyeon Kim
Sanghyeon Kim, Eunbyung Park
SMPConv: Self-moving Point Representations for Continuous Convolution
Accepted to CVPR 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Continuous convolution has recently gained prominence due to its ability to handle irregularly sampled data and model long-term dependency. Also, the promising experimental results of using large convolutional kernels have catalyzed the development of continuous convolution since they can construct large kernels very...
[ { "created": "Wed, 5 Apr 2023 09:36:30 GMT", "version": "v1" } ]
2023-04-06
[ [ "Kim", "Sanghyeon", "" ], [ "Park", "Eunbyung", "" ] ]
Continuous convolution has recently gained prominence due to its ability to handle irregularly sampled data and model long-term dependency. Also, the promising experimental results of using large convolutional kernels have catalyzed the development of continuous convolution since they can construct large kernels very e...
2402.15430
Shuren Qi
Shuren Qi, Yushu Zhang, Chao Wang, Zhihua Xia, Xiaochun Cao, Jian Weng
Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Developing robust and interpretable vision systems is a crucial step towards trustworthy artificial intelligence. In this regard, a promising paradigm considers embedding task-required invariant structures, e.g., geometric invariance, in the fundamental image representation. However, such invariant representations ty...
[ { "created": "Fri, 23 Feb 2024 16:50:07 GMT", "version": "v1" }, { "created": "Thu, 11 Apr 2024 06:40:12 GMT", "version": "v2" } ]
2024-04-12
[ [ "Qi", "Shuren", "" ], [ "Zhang", "Yushu", "" ], [ "Wang", "Chao", "" ], [ "Xia", "Zhihua", "" ], [ "Cao", "Xiaochun", "" ], [ "Weng", "Jian", "" ] ]
Developing robust and interpretable vision systems is a crucial step towards trustworthy artificial intelligence. In this regard, a promising paradigm considers embedding task-required invariant structures, e.g., geometric invariance, in the fundamental image representation. However, such invariant representations typi...
2307.15793
Sumit Asthana
Sumit Asthana, Sagih Hilleli, Pengcheng He, Aaron Halfaker
Summaries, Highlights, and Action items: Design, implementation and evaluation of an LLM-powered meeting recap system
in review for CSCW 23
null
null
null
cs.HC cs.AI cs.IR
http://creativecommons.org/licenses/by-sa/4.0/
Meetings play a critical infrastructural role in the coordination of work. In recent years, due to shift to hybrid and remote work, more meetings are moving to online Computer Mediated Spaces. This has led to new problems (e.g. more time spent in less engaging meetings) and new opportunities (e.g. automated transcrip...
[ { "created": "Fri, 28 Jul 2023 20:25:11 GMT", "version": "v1" } ]
2023-08-01
[ [ "Asthana", "Sumit", "" ], [ "Hilleli", "Sagih", "" ], [ "He", "Pengcheng", "" ], [ "Halfaker", "Aaron", "" ] ]
Meetings play a critical infrastructural role in the coordination of work. In recent years, due to shift to hybrid and remote work, more meetings are moving to online Computer Mediated Spaces. This has led to new problems (e.g. more time spent in less engaging meetings) and new opportunities (e.g. automated transcripti...
2310.17705
Runze Cheng
Runze Cheng, Yao Sun, Dusit Niyato, Lan Zhang, Lei Zhang, and Muhammad Ali Imran
A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered by Semantic Communication
null
null
null
null
cs.NI cs.AI cs.LG eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative AI applications have been recently catering to a vast user base by creating diverse and high-quality AI-generated content (AIGC). With the proliferation of mobile devices and rapid growth of mobile traffic, providing ubiquitous access to high-quality AIGC services via wireless communication networks is bec...
[ { "created": "Thu, 26 Oct 2023 18:05:22 GMT", "version": "v1" }, { "created": "Wed, 29 May 2024 10:05:14 GMT", "version": "v2" } ]
2024-05-30
[ [ "Cheng", "Runze", "" ], [ "Sun", "Yao", "" ], [ "Niyato", "Dusit", "" ], [ "Zhang", "Lan", "" ], [ "Zhang", "Lei", "" ], [ "Imran", "Muhammad Ali", "" ] ]
Generative AI applications have been recently catering to a vast user base by creating diverse and high-quality AI-generated content (AIGC). With the proliferation of mobile devices and rapid growth of mobile traffic, providing ubiquitous access to high-quality AIGC services via wireless communication networks is becom...
1010.0019
Byung-Gon Chun
Byung-Gon Chun, Ling Huang, Sangmin Lee, Petros Maniatis, Mayur Naik
Mantis: Predicting System Performance through Program Analysis and Modeling
null
null
null
null
cs.PF cs.AI cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present Mantis, a new framework that automatically predicts program performance with high accuracy. Mantis integrates techniques from programming language and machine learning for performance modeling, and is a radical departure from traditional approaches. Mantis extracts program features, which are information a...
[ { "created": "Thu, 30 Sep 2010 21:02:04 GMT", "version": "v1" } ]
2010-10-05
[ [ "Chun", "Byung-Gon", "" ], [ "Huang", "Ling", "" ], [ "Lee", "Sangmin", "" ], [ "Maniatis", "Petros", "" ], [ "Naik", "Mayur", "" ] ]
We present Mantis, a new framework that automatically predicts program performance with high accuracy. Mantis integrates techniques from programming language and machine learning for performance modeling, and is a radical departure from traditional approaches. Mantis extracts program features, which are information abo...
2201.08860
Xikun Zhang
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
Published at ICLR 2022. All code, data, and pretrained models are available at https://github.com/snap-stanford/GreaseLM
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Answering complex questions about textual narratives requires reasoning over both stated context and the world knowledge that underlies it. However, pretrained language models (LM), the foundation of most modern QA systems, do not robustly represent latent relationships between concepts, which is necessary for reason...
[ { "created": "Fri, 21 Jan 2022 19:00:05 GMT", "version": "v1" } ]
2022-01-25
[ [ "Zhang", "Xikun", "" ], [ "Bosselut", "Antoine", "" ], [ "Yasunaga", "Michihiro", "" ], [ "Ren", "Hongyu", "" ], [ "Liang", "Percy", "" ], [ "Manning", "Christopher D.", "" ], [ "Leskovec", "Jure", "" ] ]
Answering complex questions about textual narratives requires reasoning over both stated context and the world knowledge that underlies it. However, pretrained language models (LM), the foundation of most modern QA systems, do not robustly represent latent relationships between concepts, which is necessary for reasonin...
1812.01941
Swapneel Mehta
Swapneel Mehta, Prasanth Kothuri, Daniel Lanza Garcia
Anomaly Detection for Network Connection Logs
null
null
null
null
cs.LG cs.DC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We leverage a streaming architecture based on ELK, Spark and Hadoop in order to collect, store, and analyse database connection logs in near real-time. The proposed system investigates outliers using unsupervised learning; widely adopted clustering and classification algorithms for log data, highlighting the subtle v...
[ { "created": "Sat, 1 Dec 2018 00:50:51 GMT", "version": "v1" } ]
2018-12-06
[ [ "Mehta", "Swapneel", "" ], [ "Kothuri", "Prasanth", "" ], [ "Garcia", "Daniel Lanza", "" ] ]
We leverage a streaming architecture based on ELK, Spark and Hadoop in order to collect, store, and analyse database connection logs in near real-time. The proposed system investigates outliers using unsupervised learning; widely adopted clustering and classification algorithms for log data, highlighting the subtle var...
2002.04903
Akash Lal
Pantazis Deligiannis and Narayanan Ganapathy and Akash Lal and Shaz Qadeer
Building Reliable Cloud Services Using P# (Experience Report)
null
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cloud services must typically be distributed across a large number of machines in order to make use of multiple compute and storage resources. This opens the programmer to several sources of complexity such as concurrency, order of message delivery, lossy network, timeouts and failures, all of which impose a high cog...
[ { "created": "Wed, 12 Feb 2020 10:38:59 GMT", "version": "v1" } ]
2020-02-13
[ [ "Deligiannis", "Pantazis", "" ], [ "Ganapathy", "Narayanan", "" ], [ "Lal", "Akash", "" ], [ "Qadeer", "Shaz", "" ] ]
Cloud services must typically be distributed across a large number of machines in order to make use of multiple compute and storage resources. This opens the programmer to several sources of complexity such as concurrency, order of message delivery, lossy network, timeouts and failures, all of which impose a high cogni...
2307.05949
Agnimitra Sengupta
Agnimitra Sengupta, S. Ilgin Guler
Newell's theory based feature transformations for spatio-temporal traffic prediction
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep learning (DL) models for spatio-temporal traffic flow forecasting employ convolutional or graph-convolutional filters along with recurrent neural networks to capture spatial and temporal dependencies in traffic data. These models, such as CNN-LSTM, utilize traffic flows from neighboring detector stations to pred...
[ { "created": "Wed, 12 Jul 2023 06:31:43 GMT", "version": "v1" }, { "created": "Mon, 17 Jul 2023 00:09:14 GMT", "version": "v2" } ]
2023-07-18
[ [ "Sengupta", "Agnimitra", "" ], [ "Guler", "S. Ilgin", "" ] ]
Deep learning (DL) models for spatio-temporal traffic flow forecasting employ convolutional or graph-convolutional filters along with recurrent neural networks to capture spatial and temporal dependencies in traffic data. These models, such as CNN-LSTM, utilize traffic flows from neighboring detector stations to predic...
2302.08086
Xuejie Liu
Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Probabilistic Circuits (PCs) are a general and unified computational framework for tractable probabilistic models that support efficient computation of various inference tasks (e.g., computing marginal probabilities). Towards enabling such reasoning capabilities in complex real-world tasks, Liu et al. (2022) propose ...
[ { "created": "Thu, 16 Feb 2023 04:52:46 GMT", "version": "v1" } ]
2023-02-17
[ [ "Liu", "Xuejie", "" ], [ "Liu", "Anji", "" ], [ "Broeck", "Guy Van den", "" ], [ "Liang", "Yitao", "" ] ]
Probabilistic Circuits (PCs) are a general and unified computational framework for tractable probabilistic models that support efficient computation of various inference tasks (e.g., computing marginal probabilities). Towards enabling such reasoning capabilities in complex real-world tasks, Liu et al. (2022) propose to...
1709.01982
Zhuan Khye Koh
Zhuan Khye Koh, Laura Sanit\`a
Stabilizing Weighted Graphs
null
null
null
null
cs.DS cs.DM cs.GT math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An edge-weighted graph $G=(V,E)$ is called stable if the value of a maximum-weight matching equals the value of a maximum-weight fractional matching. Stable graphs play an important role in some interesting game theory problems, such as network bargaining games and cooperative matching games, because they characteriz...
[ { "created": "Wed, 6 Sep 2017 20:21:55 GMT", "version": "v1" }, { "created": "Sat, 25 Nov 2017 00:14:01 GMT", "version": "v2" } ]
2017-11-28
[ [ "Koh", "Zhuan Khye", "" ], [ "Sanità", "Laura", "" ] ]
An edge-weighted graph $G=(V,E)$ is called stable if the value of a maximum-weight matching equals the value of a maximum-weight fractional matching. Stable graphs play an important role in some interesting game theory problems, such as network bargaining games and cooperative matching games, because they characterize ...
2304.08870
Soon Yau Cheong
Soon Yau Cheong, Armin Mustafa, Andrew Gilbert
UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer
null
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2023
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Text-to-image models (T2I) such as StableDiffusion have been used to generate high quality images of people. However, due to the random nature of the generation process, the person has a different appearance e.g. pose, face, and clothing, despite using the same text prompt. The appearance inconsistency makes T2I unsu...
[ { "created": "Tue, 18 Apr 2023 10:05:37 GMT", "version": "v1" }, { "created": "Wed, 26 Jul 2023 17:13:12 GMT", "version": "v2" } ]
2023-12-19
[ [ "Cheong", "Soon Yau", "" ], [ "Mustafa", "Armin", "" ], [ "Gilbert", "Andrew", "" ] ]
Text-to-image models (T2I) such as StableDiffusion have been used to generate high quality images of people. However, due to the random nature of the generation process, the person has a different appearance e.g. pose, face, and clothing, despite using the same text prompt. The appearance inconsistency makes T2I unsuit...
2406.09441
Yimeng Min
Yimeng Min
Comment on paper: Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
comment on arXiv:2406.03503, 4 pages, 1 figure and 1 table
null
null
null
cs.PF cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
We identify two major issues in the SoftDist paper (Xia et al.): (1) the failure to run all steps of different baselines on the same hardware environment, and (2) the use of inconsistent time measurements when comparing to other baselines. These issues lead to flawed conclusions. When all steps are executed in the sa...
[ { "created": "Tue, 11 Jun 2024 23:14:19 GMT", "version": "v1" } ]
2024-06-17
[ [ "Min", "Yimeng", "" ] ]
We identify two major issues in the SoftDist paper (Xia et al.): (1) the failure to run all steps of different baselines on the same hardware environment, and (2) the use of inconsistent time measurements when comparing to other baselines. These issues lead to flawed conclusions. When all steps are executed in the same...
2403.07339
Zhanpeng Zeng
Zhanpeng Zeng, Karthikeyan Sankaralingam, Vikas Singh
IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers
null
null
null
null
cs.LG cs.CL cs.CV
http://creativecommons.org/licenses/by/4.0/
GEneral Matrix Multiply (GEMM) is a central operation in deep learning and corresponds to the largest chunk of the compute footprint. Therefore, improving its efficiency is an active topic of ongoing research. A popular strategy is the use of low bit-width integers to approximate the original entries in a matrix. Thi...
[ { "created": "Tue, 12 Mar 2024 05:44:27 GMT", "version": "v1" } ]
2024-03-13
[ [ "Zeng", "Zhanpeng", "" ], [ "Sankaralingam", "Karthikeyan", "" ], [ "Singh", "Vikas", "" ] ]
GEneral Matrix Multiply (GEMM) is a central operation in deep learning and corresponds to the largest chunk of the compute footprint. Therefore, improving its efficiency is an active topic of ongoing research. A popular strategy is the use of low bit-width integers to approximate the original entries in a matrix. This ...
2406.07126
Sagar Malhotra
Alexander Pluska, Pascal Welke, Thomas G\"artner, and Sagar Malhotra
Logical Distillation of Graph Neural Networks
Fixed errors in the statement of Theorem 1
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
We present a logic based interpretable model for learning on graphs and an algorithm to distill this model from a Graph Neural Network (GNN). Recent results have shown connections between the expressivity of GNNs and the two-variable fragment of first-order logic with counting quantifiers (C2). We introduce a decisio...
[ { "created": "Tue, 11 Jun 2024 10:18:58 GMT", "version": "v1" }, { "created": "Sun, 14 Jul 2024 16:19:30 GMT", "version": "v2" } ]
2024-07-16
[ [ "Pluska", "Alexander", "" ], [ "Welke", "Pascal", "" ], [ "Gärtner", "Thomas", "" ], [ "Malhotra", "Sagar", "" ] ]
We present a logic based interpretable model for learning on graphs and an algorithm to distill this model from a Graph Neural Network (GNN). Recent results have shown connections between the expressivity of GNNs and the two-variable fragment of first-order logic with counting quantifiers (C2). We introduce a decision-...
2101.03298
Bolin Ding
Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, and Sheng Xu
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data
null
null
null
null
cs.DB cs.LG
http://creativecommons.org/licenses/by/4.0/
Interactive response time is important in analytical pipelines for users to explore a sufficient number of possibilities and make informed business decisions. We consider a forecasting pipeline with large volumes of high-dimensional time series data. Real-time forecasting can be conducted in two steps. First, we spec...
[ { "created": "Sat, 9 Jan 2021 06:23:13 GMT", "version": "v1" }, { "created": "Sat, 16 Jan 2021 00:46:04 GMT", "version": "v2" } ]
2021-01-19
[ [ "Yan", "Shuyuan", "" ], [ "Ding", "Bolin", "" ], [ "Guo", "Wei", "" ], [ "Zhou", "Jingren", "" ], [ "Wei", "Zhewei", "" ], [ "Jiang", "Xiaowei", "" ], [ "Xu", "Sheng", "" ] ]
Interactive response time is important in analytical pipelines for users to explore a sufficient number of possibilities and make informed business decisions. We consider a forecasting pipeline with large volumes of high-dimensional time series data. Real-time forecasting can be conducted in two steps. First, we specif...
1804.08335
Ioanna Symeonidou
Angelos Charalambidis, Panos Rondogiannis and Ioanna Symeonidou
Approximation Fixpoint Theory and the Well-Founded Semantics of Higher-Order Logic Programs
Paper presented at the 34nd International Conference on Logic Programming (ICLP 2018), Oxford, UK, July 14 to July 17, 2018 31 pages, LaTeX
Theory and Practice of Logic Programming 18 (2018) 421-437
10.1017/S1471068418000108
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We define a novel, extensional, three-valued semantics for higher-order logic programs with negation. The new semantics is based on interpreting the types of the source language as three-valued Fitting-monotonic functions at all levels of the type hierarchy. We prove that there exists a bijection between such Fitting...
[ { "created": "Mon, 23 Apr 2018 11:13:44 GMT", "version": "v1" } ]
2019-07-25
[ [ "Charalambidis", "Angelos", "" ], [ "Rondogiannis", "Panos", "" ], [ "Symeonidou", "Ioanna", "" ] ]
We define a novel, extensional, three-valued semantics for higher-order logic programs with negation. The new semantics is based on interpreting the types of the source language as three-valued Fitting-monotonic functions at all levels of the type hierarchy. We prove that there exists a bijection between such Fitting-m...
2405.01842
Nirmalendu Prakash
Ri Chi Ng, Nirmalendu Prakash, Ming Shan Hee, Kenny Tsu Wei Choo, Roy Ka-Wei Lee
SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
To address the limitations of current hate speech detection models, we introduce \textsf{SGHateCheck}, a novel framework designed for the linguistic and cultural context of Singapore and Southeast Asia. It extends the functional testing approach of HateCheck and MHC, employing large language models for translation an...
[ { "created": "Fri, 3 May 2024 04:18:10 GMT", "version": "v1" } ]
2024-05-06
[ [ "Ng", "Ri Chi", "" ], [ "Prakash", "Nirmalendu", "" ], [ "Hee", "Ming Shan", "" ], [ "Choo", "Kenny Tsu Wei", "" ], [ "Lee", "Roy Ka-Wei", "" ] ]
To address the limitations of current hate speech detection models, we introduce \textsf{SGHateCheck}, a novel framework designed for the linguistic and cultural context of Singapore and Southeast Asia. It extends the functional testing approach of HateCheck and MHC, employing large language models for translation and ...
1405.1703
EPTCS
Ling Fang (National Institute of Advanced Industrial Science and Technology, Japan), Yoriyuki Yamagata (National Institute of Advanced Industrial Science and Technology, Japan), Yutaka Oiwa (National Institute of Advanced Industrial Science and Technology, Japan)
Evaluation of A Resilience Embedded System Using Probabilistic Model-Checking
In Proceedings ESSS 2014, arXiv:1405.0554
EPTCS 150, 2014, pp. 35-49
10.4204/EPTCS.150.4
null
cs.SE cs.LO math.PR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
If a Micro Processor Unit (MPU) receives an external electric signal as noise, the system function will freeze or malfunction easily. A new resilience strategy is implemented in order to reset the MPU automatically and stop the MPU from freezing or malfunctioning. The technique is useful for embedded systems which wo...
[ { "created": "Tue, 6 May 2014 00:53:56 GMT", "version": "v1" } ]
2014-05-08
[ [ "Fang", "Ling", "", "National Institute of Advanced Industrial Science and\n Technology, Japan" ], [ "Yamagata", "Yoriyuki", "", "National Institute of Advanced\n Industrial Science and Technology, Japan" ], [ "Oiwa", "Yutaka", "", "National Institute of\n...
If a Micro Processor Unit (MPU) receives an external electric signal as noise, the system function will freeze or malfunction easily. A new resilience strategy is implemented in order to reset the MPU automatically and stop the MPU from freezing or malfunctioning. The technique is useful for embedded systems which work...
1808.05698
Mohammad Roohitavaf
Mohammad Roohitavaf, Jung-Sang Ahn, Woon-Hak Kang, Kun Ren, Gene Zhang, Sami Ben-Romdhane, Sandeep S. Kulkarni
Session Guarantees with Raft and Hybrid Logical Clocks
null
null
null
null
cs.DC cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Eventual consistency is a popular consistency model for geo-replicated data stores. Although eventual consistency provides high performance and availability, it can cause anomalies that make programming complex for application developers. Session guarantees can remove some of these anomalies while causing much lower ...
[ { "created": "Thu, 16 Aug 2018 22:54:25 GMT", "version": "v1" } ]
2018-08-20
[ [ "Roohitavaf", "Mohammad", "" ], [ "Ahn", "Jung-Sang", "" ], [ "Kang", "Woon-Hak", "" ], [ "Ren", "Kun", "" ], [ "Zhang", "Gene", "" ], [ "Ben-Romdhane", "Sami", "" ], [ "Kulkarni", "Sandeep S.", "" ] ]
Eventual consistency is a popular consistency model for geo-replicated data stores. Although eventual consistency provides high performance and availability, it can cause anomalies that make programming complex for application developers. Session guarantees can remove some of these anomalies while causing much lower ov...
1804.06434
Jordan Dworkin
Jordan D. Dworkin, Russell T. Shinohara, Danielle S. Bassett
The emergent integrated network structure of scientific research
null
null
10.1371/journal.pone.0216146
null
cs.SI stat.AP
http://creativecommons.org/licenses/by-nc-sa/4.0/
The practice of scientific research is often thought of as individuals and small teams striving for disciplinary advances. Yet as a whole, this endeavor more closely resembles a complex system of natural computation, in which information is obtained, generated, and disseminated more effectively than would be possible...
[ { "created": "Tue, 17 Apr 2018 18:54:56 GMT", "version": "v1" } ]
2019-06-19
[ [ "Dworkin", "Jordan D.", "" ], [ "Shinohara", "Russell T.", "" ], [ "Bassett", "Danielle S.", "" ] ]
The practice of scientific research is often thought of as individuals and small teams striving for disciplinary advances. Yet as a whole, this endeavor more closely resembles a complex system of natural computation, in which information is obtained, generated, and disseminated more effectively than would be possible b...
2402.10635
Yuqi Chen
Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
Neurips 2023 Poster
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Modeling continuous-time dynamics on irregular time series is critical to account for data evolution and correlations that occur continuously. Traditional methods including recurrent neural networks or Transformer models leverage inductive bias via powerful neural architectures to capture complex patterns. However, d...
[ { "created": "Fri, 16 Feb 2024 12:34:38 GMT", "version": "v1" } ]
2024-02-19
[ [ "Chen", "Yuqi", "" ], [ "Ren", "Kan", "" ], [ "Wang", "Yansen", "" ], [ "Fang", "Yuchen", "" ], [ "Sun", "Weiwei", "" ], [ "Li", "Dongsheng", "" ] ]
Modeling continuous-time dynamics on irregular time series is critical to account for data evolution and correlations that occur continuously. Traditional methods including recurrent neural networks or Transformer models leverage inductive bias via powerful neural architectures to capture complex patterns. However, due...
2004.05696
Husam Suleiman
Husam Suleiman, Otman Basir
Service Level Driven Job Scheduling in Multi-Tier Cloud Computing: A Biologically Inspired Approach
null
pp.99-118, Volume 9, Number 9, July 2019
10.5121/csit.2019.90910
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cloud computing environments often have to deal with random-arrival computational workloads that vary in resource requirements and demand high Quality of Service (QoS) obligations. It is typical that a Service-Level-Agreement (SLA) is employed to govern the QoS obligations of the cloud computing service provider to t...
[ { "created": "Sun, 12 Apr 2020 21:03:37 GMT", "version": "v1" } ]
2020-04-21
[ [ "Suleiman", "Husam", "" ], [ "Basir", "Otman", "" ] ]
Cloud computing environments often have to deal with random-arrival computational workloads that vary in resource requirements and demand high Quality of Service (QoS) obligations. It is typical that a Service-Level-Agreement (SLA) is employed to govern the QoS obligations of the cloud computing service provider to the...
2001.07393
Yuhua Sun
Yuhua Sun, Tongjiang Yan, Qiuyan Wang
The 2-adic complexity of Yu-Gong sequences with interleaved structure and optimal autocorrelation magnitude
12
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In 2008, a class of binary sequences of period $N=4(2^k-1)(2^k+1)$ with optimal autocorrelation magnitude has been presented by Yu and Gong based on an $m$-sequence, the perfect sequence $(0,1,1,1)$ of period $4$ and interleaving technique. In this paper, we study the 2-adic complexities of these sequences. Our resul...
[ { "created": "Tue, 21 Jan 2020 08:57:01 GMT", "version": "v1" }, { "created": "Wed, 16 Sep 2020 06:18:24 GMT", "version": "v2" } ]
2020-09-17
[ [ "Sun", "Yuhua", "" ], [ "Yan", "Tongjiang", "" ], [ "Wang", "Qiuyan", "" ] ]
In 2008, a class of binary sequences of period $N=4(2^k-1)(2^k+1)$ with optimal autocorrelation magnitude has been presented by Yu and Gong based on an $m$-sequence, the perfect sequence $(0,1,1,1)$ of period $4$ and interleaving technique. In this paper, we study the 2-adic complexities of these sequences. Our results...
2303.16554
Maicol Ciani
Maicol Ciani, Stefano Bonato, Rafail Psiakis, Angelo Garofalo, Luca Valente, Suresh Sugumar, Alessandro Giusti, Davide Rossi and Daniele Palossi
Cyber Security aboard Micro Aerial Vehicles: An OpenTitan-based Visual Communication Use Case
null
null
10.1109/ISCAS46773.2023.10181732
null
cs.CR cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomous Micro Aerial Vehicles (MAVs), with a form factor of 10cm in diameter, are an emerging technology thanks to the broad applicability enabled by their onboard intelligence. However, these platforms are strongly limited in the onboard power envelope for processing, i.e., less than a few hundred mW, which confi...
[ { "created": "Wed, 29 Mar 2023 09:22:33 GMT", "version": "v1" } ]
2024-06-18
[ [ "Ciani", "Maicol", "" ], [ "Bonato", "Stefano", "" ], [ "Psiakis", "Rafail", "" ], [ "Garofalo", "Angelo", "" ], [ "Valente", "Luca", "" ], [ "Sugumar", "Suresh", "" ], [ "Giusti", "Alessandro", "" ], [...
Autonomous Micro Aerial Vehicles (MAVs), with a form factor of 10cm in diameter, are an emerging technology thanks to the broad applicability enabled by their onboard intelligence. However, these platforms are strongly limited in the onboard power envelope for processing, i.e., less than a few hundred mW, which confine...
2406.07900
Bulat Khaertdinov
Bulat Khaertdinov, Pedro Jeuris, Annanda Sousa, Enrique Hortal
Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations
Accepted to Interspeech 2024
null
null
null
cs.CL cs.AI cs.SD eess.AS
http://creativecommons.org/licenses/by-nc-nd/4.0/
Recent advancements in Deep and Self-Supervised Learning (SSL) have led to substantial improvements in Speech Emotion Recognition (SER) performance, reaching unprecedented levels. However, obtaining sufficient amounts of accurately labeled data for training or fine-tuning the models remains a costly and challenging t...
[ { "created": "Wed, 12 Jun 2024 06:06:55 GMT", "version": "v1" } ]
2024-06-13
[ [ "Khaertdinov", "Bulat", "" ], [ "Jeuris", "Pedro", "" ], [ "Sousa", "Annanda", "" ], [ "Hortal", "Enrique", "" ] ]
Recent advancements in Deep and Self-Supervised Learning (SSL) have led to substantial improvements in Speech Emotion Recognition (SER) performance, reaching unprecedented levels. However, obtaining sufficient amounts of accurately labeled data for training or fine-tuning the models remains a costly and challenging tas...
2403.11363
Patrick Zschech
Theodor Stoecker, Nico Hambauer, Patrick Zschech, Mathias Kraus
IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear Insight
Preprint conditionally accepted for archival and presentation at the 32nd European Conference on Information Systems (ECIS 2024)
null
null
null
cs.LG cs.AI cs.CY
http://creativecommons.org/licenses/by-nc-nd/4.0/
Feature selection is a critical component in predictive analytics that significantly affects the prediction accuracy and interpretability of models. Intrinsic methods for feature selection are built directly into model learning, providing a fast and attractive option for large amounts of data. Machine learning algori...
[ { "created": "Sun, 17 Mar 2024 22:44:36 GMT", "version": "v1" } ]
2024-03-19
[ [ "Stoecker", "Theodor", "" ], [ "Hambauer", "Nico", "" ], [ "Zschech", "Patrick", "" ], [ "Kraus", "Mathias", "" ] ]
Feature selection is a critical component in predictive analytics that significantly affects the prediction accuracy and interpretability of models. Intrinsic methods for feature selection are built directly into model learning, providing a fast and attractive option for large amounts of data. Machine learning algorith...
1009.0706
Amir Daneshgar
Amir Daneshgar, Ramin Javadi
On Complexity of Isoperimetric Problems on Trees
null
null
null
null
cs.CC math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper is aimed to investigate some computational aspects of different isoperimetric problems on weighted trees. In this regard, we consider different connectivity parameters called {\it minimum normalized cuts}/{\it isoperimteric numbers} defined through taking minimum of the maximum or the mean of the normalize...
[ { "created": "Fri, 3 Sep 2010 16:00:57 GMT", "version": "v1" } ]
2010-09-06
[ [ "Daneshgar", "Amir", "" ], [ "Javadi", "Ramin", "" ] ]
This paper is aimed to investigate some computational aspects of different isoperimetric problems on weighted trees. In this regard, we consider different connectivity parameters called {\it minimum normalized cuts}/{\it isoperimteric numbers} defined through taking minimum of the maximum or the mean of the normalized ...
1404.5356
Jeannette Janssen
Jeannette Janssen and Celeste Vautour
Finding safe strategies for competitive diffusion on trees
2 figures, colour
Internet Mathematics 11:232-252, 2015
10.1080/15427951.2014.977407
null
cs.DM cs.GR cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the two-player safe game of Competitive Diffusion, a game-theoretic model for the diffusion of technologies or influence through a social network. In game theory, safe strategies are mixed strategies with a minimal expected gain against unknown strategies of the opponents. Safe strategies for competitive dif...
[ { "created": "Tue, 22 Apr 2014 00:17:20 GMT", "version": "v1" } ]
2015-07-10
[ [ "Janssen", "Jeannette", "" ], [ "Vautour", "Celeste", "" ] ]
We study the two-player safe game of Competitive Diffusion, a game-theoretic model for the diffusion of technologies or influence through a social network. In game theory, safe strategies are mixed strategies with a minimal expected gain against unknown strategies of the opponents. Safe strategies for competitive diffu...
2305.13262
Christopher Mitcheltree
Christopher Mitcheltree, Christian J. Steinmetz, Marco Comunit\`a, Joshua D. Reiss
Modulation Extraction for LFO-driven Audio Effects
Accepted to DAFx 2023. Listening samples and plugins can be found at https://christhetree.github.io/mod_extraction/
null
null
null
cs.SD cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Low frequency oscillator (LFO) driven audio effects such as phaser, flanger, and chorus, modify an input signal using time-varying filters and delays, resulting in characteristic sweeping or widening effects. It has been shown that these effects can be modeled using neural networks when conditioned with the ground tr...
[ { "created": "Mon, 22 May 2023 17:33:07 GMT", "version": "v1" } ]
2023-05-23
[ [ "Mitcheltree", "Christopher", "" ], [ "Steinmetz", "Christian J.", "" ], [ "Comunità", "Marco", "" ], [ "Reiss", "Joshua D.", "" ] ]
Low frequency oscillator (LFO) driven audio effects such as phaser, flanger, and chorus, modify an input signal using time-varying filters and delays, resulting in characteristic sweeping or widening effects. It has been shown that these effects can be modeled using neural networks when conditioned with the ground trut...
0810.5578
Shubha Nabar
Tomas Feder, Shubha U. Nabar, Evimaria Terzi
Anonymizing Graphs
15 pages, 5 figures
null
null
null
cs.DB cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motivated by recently discovered privacy attacks on social networks, we study the problem of anonymizing the underlying graph of interactions in a social network. We call a graph (k,l)-anonymous if for every node in the graph there exist at least k other nodes that share at least l of its neighbors. We consider two c...
[ { "created": "Thu, 30 Oct 2008 21:12:25 GMT", "version": "v1" } ]
2008-11-03
[ [ "Feder", "Tomas", "" ], [ "Nabar", "Shubha U.", "" ], [ "Terzi", "Evimaria", "" ] ]
Motivated by recently discovered privacy attacks on social networks, we study the problem of anonymizing the underlying graph of interactions in a social network. We call a graph (k,l)-anonymous if for every node in the graph there exist at least k other nodes that share at least l of its neighbors. We consider two com...
2406.16925
Jingwei Wang
Jingwei Wang
Analyzing Multi-Head Attention on Trojan BERT Models
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
This project investigates the behavior of multi-head attention in Transformer models, specifically focusing on the differences between benign and trojan models in the context of sentiment analysis. Trojan attacks cause models to perform normally on clean inputs but exhibit misclassifications when presented with input...
[ { "created": "Wed, 12 Jun 2024 06:43:59 GMT", "version": "v1" } ]
2024-06-26
[ [ "Wang", "Jingwei", "" ] ]
This project investigates the behavior of multi-head attention in Transformer models, specifically focusing on the differences between benign and trojan models in the context of sentiment analysis. Trojan attacks cause models to perform normally on clean inputs but exhibit misclassifications when presented with inputs ...
1703.01281
Alexander Ivanov
Alexander Ivanov and Mark Campbell
An Extended Consideration of Joint Exploration and Tracking: JET
12 pages, 4 figures, extended conference/journal
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomous exploration and multi-object tracking by a team of agents have traditionally been considered as two separate, yet related, problems which are usually solved in two phases: an exploration phase then a tracking phase. The exploration problem is usually viewed through an information theoretic framework where ...
[ { "created": "Fri, 3 Mar 2017 18:35:34 GMT", "version": "v1" }, { "created": "Thu, 18 May 2017 20:58:32 GMT", "version": "v2" } ]
2017-05-22
[ [ "Ivanov", "Alexander", "" ], [ "Campbell", "Mark", "" ] ]
Autonomous exploration and multi-object tracking by a team of agents have traditionally been considered as two separate, yet related, problems which are usually solved in two phases: an exploration phase then a tracking phase. The exploration problem is usually viewed through an information theoretic framework where a ...
2111.02161
Aniya Aggarwal
Diptikalyan Saha, Aniya Aggarwal, Sandeep Hans
Data Synthesis for Testing Black-Box Machine Learning Models
Accepted as a 4-pages short paper in Research track at CODS-COMAD 2022
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The increasing usage of machine learning models raises the question of the reliability of these models. The current practice of testing with limited data is often insufficient. In this paper, we provide a framework for automated test data synthesis to test black-box ML/DL models. We address an important challenge of ...
[ { "created": "Wed, 3 Nov 2021 12:00:30 GMT", "version": "v1" } ]
2021-11-04
[ [ "Saha", "Diptikalyan", "" ], [ "Aggarwal", "Aniya", "" ], [ "Hans", "Sandeep", "" ] ]
The increasing usage of machine learning models raises the question of the reliability of these models. The current practice of testing with limited data is often insufficient. In this paper, we provide a framework for automated test data synthesis to test black-box ML/DL models. We address an important challenge of ge...
2006.05487
Luiz F. O. Chamon
Luiz F. O. Chamon and Alejandro Ribeiro
Probably Approximately Correct Constrained Learning
null
null
null
null
cs.LG math.ST stat.ML stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As learning solutions reach critical applications in social, industrial, and medical domains, the need to curtail their behavior has become paramount. There is now ample evidence that without explicit tailoring, learning can lead to biased, unsafe, and prejudiced solutions. To tackle these problems, we develop a gene...
[ { "created": "Tue, 9 Jun 2020 19:59:29 GMT", "version": "v1" }, { "created": "Wed, 17 Feb 2021 22:42:15 GMT", "version": "v2" } ]
2021-02-19
[ [ "Chamon", "Luiz F. O.", "" ], [ "Ribeiro", "Alejandro", "" ] ]
As learning solutions reach critical applications in social, industrial, and medical domains, the need to curtail their behavior has become paramount. There is now ample evidence that without explicit tailoring, learning can lead to biased, unsafe, and prejudiced solutions. To tackle these problems, we develop a genera...
2308.14593
Kopo Marvin Ramokapane
Kopo M. Ramokapane, Anthony C. Mazeli, Awais Rashid
Skip, Skip, Skip, Accept!!!: A Study on the Usability of Smartphone Manufacturer Provided Default Features and User Privacy
19 pages, 3 figures, Proceedings on Privacy Enhancing Technologies (PoPETS)
null
10.2478/popets-2019-0027
null
cs.HC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Smartphone manufacturer provided default features (e.g., default location services, iCloud, Google Assistant, ad tracking) enhance the usability and extend the functionality of these devices. Prior studies have highlighted smartphone vulnerabilities and how users' data can be harvested without their knowledge. Howeve...
[ { "created": "Mon, 28 Aug 2023 14:00:09 GMT", "version": "v1" } ]
2023-08-29
[ [ "Ramokapane", "Kopo M.", "" ], [ "Mazeli", "Anthony C.", "" ], [ "Rashid", "Awais", "" ] ]
Smartphone manufacturer provided default features (e.g., default location services, iCloud, Google Assistant, ad tracking) enhance the usability and extend the functionality of these devices. Prior studies have highlighted smartphone vulnerabilities and how users' data can be harvested without their knowledge. However,...
1809.04702
Farzad Farnoud (Hassanzadeh)
Ryan Gabrys, Farzad Farnoud (Hassanzadeh)
Reconciling Similar Sets of Data
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we consider the problem of synchronizing two sets of data where the size of the symmetric difference between the sets is small and, in addition, the elements in the symmetric difference are related through the Hamming distance metric. Upper and lower bounds are derived on the minimum amount of informati...
[ { "created": "Wed, 12 Sep 2018 23:07:00 GMT", "version": "v1" } ]
2018-09-14
[ [ "Gabrys", "Ryan", "", "Hassanzadeh" ], [ "Farnoud", "Farzad", "", "Hassanzadeh" ] ]
In this work, we consider the problem of synchronizing two sets of data where the size of the symmetric difference between the sets is small and, in addition, the elements in the symmetric difference are related through the Hamming distance metric. Upper and lower bounds are derived on the minimum amount of information...
1907.07876
Aravind Sivaramakrishnan
Aravind Sivaramakrishnan, Zakary Littlefield, Kostas E. Bekris
Towards Learning Efficient Maneuver Sets for Kinodynamic Motion Planning
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Planning for systems with dynamics is challenging as often there is no local planner available and the only primitive to explore the state space is forward propagation of controls. In this context, tree sampling-based planners have been developed, some of which achieve asymptotic optimality by propagating random cont...
[ { "created": "Thu, 18 Jul 2019 05:13:08 GMT", "version": "v1" } ]
2019-07-19
[ [ "Sivaramakrishnan", "Aravind", "" ], [ "Littlefield", "Zakary", "" ], [ "Bekris", "Kostas E.", "" ] ]
Planning for systems with dynamics is challenging as often there is no local planner available and the only primitive to explore the state space is forward propagation of controls. In this context, tree sampling-based planners have been developed, some of which achieve asymptotic optimality by propagating random contro...
2104.09578
Hunter Priniski
J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P. Jeffrey Brantingham
Mapping Moral Valence of Tweets Following the Killing of George Floyd
6 pages, 4 figures
null
null
null
cs.SI cs.HC
http://creativecommons.org/licenses/by/4.0/
The viral video documenting the killing of George Floyd by Minneapolis police officer Derek Chauvin inspired nation-wide protests that brought national attention to widespread racial injustice and biased policing practices towards black communities in the United States. The use of social media by the Black Lives Matt...
[ { "created": "Mon, 19 Apr 2021 19:16:55 GMT", "version": "v1" }, { "created": "Thu, 26 Aug 2021 18:25:51 GMT", "version": "v2" } ]
2021-08-30
[ [ "Priniski", "J. Hunter", "" ], [ "Mokhberian", "Negar", "" ], [ "Harandizadeh", "Bahareh", "" ], [ "Morstatter", "Fred", "" ], [ "Lerman", "Kristina", "" ], [ "Lu", "Hongjing", "" ], [ "Brantingham", "P. Jeffre...
The viral video documenting the killing of George Floyd by Minneapolis police officer Derek Chauvin inspired nation-wide protests that brought national attention to widespread racial injustice and biased policing practices towards black communities in the United States. The use of social media by the Black Lives Matter...
2001.08878
Xiaodong Wang
Xiaodong Wang, Zhedong Zheng, Yang He, Fei Yan, Zhiqiang Zeng, Yi Yang
Progressive Local Filter Pruning for Image Retrieval Acceleration
7 pages, 5 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper focuses on network pruning for image retrieval acceleration. Prevailing image retrieval works target at the discriminative feature learning, while little attention is paid to how to accelerate the model inference, which should be taken into consideration in real-world practice. The challenge of pruning ima...
[ { "created": "Fri, 24 Jan 2020 04:28:44 GMT", "version": "v1" } ]
2020-01-27
[ [ "Wang", "Xiaodong", "" ], [ "Zheng", "Zhedong", "" ], [ "He", "Yang", "" ], [ "Yan", "Fei", "" ], [ "Zeng", "Zhiqiang", "" ], [ "Yang", "Yi", "" ] ]
This paper focuses on network pruning for image retrieval acceleration. Prevailing image retrieval works target at the discriminative feature learning, while little attention is paid to how to accelerate the model inference, which should be taken into consideration in real-world practice. The challenge of pruning image...
1605.01235
Sascha Eichst\"adt
S. Eichst\"adt, N. Makarava and C. Elster
On the evaluation of uncertainties for state estimation with the Kalman filter
27 pages, 5 figures
null
10.1088/0957-0233/27/12/125009
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Kalman filter is an established tool for the analysis of dynamic systems with normally distributed noise, and it has been successfully applied in numerous application areas. It provides sequentially calculated estimates of the system states along with a corresponding covariance matrix. For nonlinear systems, the ...
[ { "created": "Wed, 4 May 2016 11:49:22 GMT", "version": "v1" } ]
2016-10-26
[ [ "Eichstädt", "S.", "" ], [ "Makarava", "N.", "" ], [ "Elster", "C.", "" ] ]
The Kalman filter is an established tool for the analysis of dynamic systems with normally distributed noise, and it has been successfully applied in numerous application areas. It provides sequentially calculated estimates of the system states along with a corresponding covariance matrix. For nonlinear systems, the ex...
2109.06068
Marcus Botacin
Marcus Botacin and Andr\'e Gr\'egio
A [in]Seguran\c{c}a dos Sistemas Governamentais Brasileiros: Um Estudo de Caso em Sistemas Web e Redes Abertas
in Portuguese
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-sa/4.0/
Whereas the world relies on computer systems for providing public services, there is a lack of academic work that systematically assess the security of government systems. To partially fill this gap, we conducted a security evaluation of publicly available systems from public institutions. We revisited OWASP top-10 a...
[ { "created": "Mon, 13 Sep 2021 15:40:03 GMT", "version": "v1" } ]
2021-09-14
[ [ "Botacin", "Marcus", "" ], [ "Grégio", "André", "" ] ]
Whereas the world relies on computer systems for providing public services, there is a lack of academic work that systematically assess the security of government systems. To partially fill this gap, we conducted a security evaluation of publicly available systems from public institutions. We revisited OWASP top-10 and...
1802.08611
Sanjay Sahay
Ashu Sharma and Sanjay K. Sahay
An investigation of the classifiers to detect android malicious apps
8 Pages, 8 Figures
Springer, Information and Communication Technology, 625, p. 207 - 217, 2017
null
null
cs.CR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Android devices are growing exponentially and are connected through the internet accessing billion of online websites. The popularity of these devices encourages malware developer to penetrate the market with malicious apps to annoy and disrupt the victim. Although, for the detection of malicious apps different appro...
[ { "created": "Fri, 23 Feb 2018 15:45:35 GMT", "version": "v1" } ]
2018-09-18
[ [ "Sharma", "Ashu", "" ], [ "Sahay", "Sanjay K.", "" ] ]
Android devices are growing exponentially and are connected through the internet accessing billion of online websites. The popularity of these devices encourages malware developer to penetrate the market with malicious apps to annoy and disrupt the victim. Although, for the detection of malicious apps different approac...
2303.15269
Silvia Cascianelli PhD
Vittorio Pippi, Silvia Cascianelli, Rita Cucchiara
Handwritten Text Generation from Visual Archetypes
Accepted at CVPR2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Generating synthetic images of handwritten text in a writer-specific style is a challenging task, especially in the case of unseen styles and new words, and even more when these latter contain characters that are rarely encountered during training. While emulating a writer's style has been recently addressed by gener...
[ { "created": "Mon, 27 Mar 2023 14:58:20 GMT", "version": "v1" } ]
2023-03-28
[ [ "Pippi", "Vittorio", "" ], [ "Cascianelli", "Silvia", "" ], [ "Cucchiara", "Rita", "" ] ]
Generating synthetic images of handwritten text in a writer-specific style is a challenging task, especially in the case of unseen styles and new words, and even more when these latter contain characters that are rarely encountered during training. While emulating a writer's style has been recently addressed by generat...
2202.13450
Mario Felipe Munoz
Mario Felipe Munoz, Kaiwen Zhang and Fatima Amara
ZipZap: A Blockchain Solution for Local Energy Trading
null
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
In the last few years, electric utility companies have increasingly invested into transactive energy systems. This trend was primarily caused by the integration of distributed energy resources (DERs) and internet-of-things (IoT) devices into their existing distribution networks. Influenced by the general interest in ...
[ { "created": "Sun, 27 Feb 2022 20:40:59 GMT", "version": "v1" } ]
2022-03-01
[ [ "Munoz", "Mario Felipe", "" ], [ "Zhang", "Kaiwen", "" ], [ "Amara", "Fatima", "" ] ]
In the last few years, electric utility companies have increasingly invested into transactive energy systems. This trend was primarily caused by the integration of distributed energy resources (DERs) and internet-of-things (IoT) devices into their existing distribution networks. Influenced by the general interest in bl...
2310.13778
Rajarshi Roy
Rajarshi Roy and Daniel Neider
Inferring Properties in Computation Tree Logic
null
null
null
null
cs.LO cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of automatically inferring specifications in the branching-time logic, Computation Tree Logic (CTL), from a given system. Designing functional and usable specifications has always been one of the biggest challenges of formal methods. While in recent years, works have focused on automatically d...
[ { "created": "Fri, 20 Oct 2023 19:23:32 GMT", "version": "v1" } ]
2023-10-24
[ [ "Roy", "Rajarshi", "" ], [ "Neider", "Daniel", "" ] ]
We consider the problem of automatically inferring specifications in the branching-time logic, Computation Tree Logic (CTL), from a given system. Designing functional and usable specifications has always been one of the biggest challenges of formal methods. While in recent years, works have focused on automatically des...
2007.07595
Daniel Ritter
Jonas Dann, Daniel Ritter, Holger Fr\"oning
Non-Relational Databases on FPGAs: Survey, Design Decisions, Challenges
FPGA, hardware acceleration, non-relational databases, graph, document, key-value; 28 pages
null
null
null
cs.DB cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Non-relational database systems (NRDS), such as graph, document, key-value, and wide-column, have gained much attention in various trending (business) application domains like smart logistics, social network analysis, and medical applications, due to their data model variety and scalability. The broad data variety an...
[ { "created": "Wed, 15 Jul 2020 10:22:02 GMT", "version": "v1" } ]
2020-07-16
[ [ "Dann", "Jonas", "" ], [ "Ritter", "Daniel", "" ], [ "Fröning", "Holger", "" ] ]
Non-relational database systems (NRDS), such as graph, document, key-value, and wide-column, have gained much attention in various trending (business) application domains like smart logistics, social network analysis, and medical applications, due to their data model variety and scalability. The broad data variety and ...
2111.08154
Javier Andreu-Perez Dr
Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Wei-Ping Ding, Chin-Teng Lin, Mukesh Prasad
On the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI
null
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51.5 (2019): 3080-3092
10.1109/TSMC.2019.2917599
null
cs.HC cs.LG eess.SP q-bio.NC
http://creativecommons.org/licenses/by-nc-nd/4.0/
In this paper classification of mental task-root Brain-Computer Interfaces (BCI) is being investigated, as those are a dominant area of investigations in BCI and are of utmost interest as these systems can be augmented life of people having severe disabilities. The BCI model's performance is primarily dependent on th...
[ { "created": "Tue, 16 Nov 2021 00:27:53 GMT", "version": "v1" } ]
2021-11-17
[ [ "Gupta", "Akshansh", "" ], [ "Agrawal", "Ramesh Kumar", "" ], [ "Kirar", "Jyoti Singh", "" ], [ "Andreu-Perez", "Javier", "" ], [ "Ding", "Wei-Ping", "" ], [ "Lin", "Chin-Teng", "" ], [ "Prasad", "Mukesh", ...
In this paper classification of mental task-root Brain-Computer Interfaces (BCI) is being investigated, as those are a dominant area of investigations in BCI and are of utmost interest as these systems can be augmented life of people having severe disabilities. The BCI model's performance is primarily dependent on the ...
2211.00981
Tetsuya Sakai
Tetsuya Sakai, Sijie Tao, and Zhaohao Zeng
Relevance Assessments for Web Search Evaluation: Should We Randomise or Prioritise the Pooled Documents? (CORRECTED VERSION)
30 pages. This is a corrected version of an open-access TOIS paper ( https://dl.acm.org/doi/pdf/10.1145/3494833 )
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the context of depth-$k$ pooling for constructing web search test collections, we compare two approaches to ordering pooled documents for relevance assessors: the prioritisation strategy (PRI) used widely at NTCIR, and the simple randomisation strategy (RND). In order to address research questions regarding PRI an...
[ { "created": "Wed, 2 Nov 2022 09:38:38 GMT", "version": "v1" } ]
2022-11-03
[ [ "Sakai", "Tetsuya", "" ], [ "Tao", "Sijie", "" ], [ "Zeng", "Zhaohao", "" ] ]
In the context of depth-$k$ pooling for constructing web search test collections, we compare two approaches to ordering pooled documents for relevance assessors: the prioritisation strategy (PRI) used widely at NTCIR, and the simple randomisation strategy (RND). In order to address research questions regarding PRI and ...
1806.07579
Maosheng Xiong
Maosheng Xiong, Nian Li, Zhengchun Zhou and Cunsheng Ding
Weight distribution of cyclic codes with arbitrary number of generalized Niho type zeroes with corrigendum
The paper was published in Designs Codes Cryptogr., vol. 78, no. 3, pp. 713-730, 2016. Here in the last page we correct a mistake in the paper
Designs Codes Cryptogr., vol. 78, no. 3, pp. 713-730, 2016
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cyclic codes are an important class of linear codes, whose weight distribution have been extensively studied. Most previous results obtained so far were for cyclic codes with no more than three zeroes. Inspired by the works \cite{Li-Zeng-Hu} and \cite{gegeng2}, we study two families of cyclic codes over $\mathbb{F}_p...
[ { "created": "Wed, 20 Jun 2018 07:12:30 GMT", "version": "v1" } ]
2018-06-21
[ [ "Xiong", "Maosheng", "" ], [ "Li", "Nian", "" ], [ "Zhou", "Zhengchun", "" ], [ "Ding", "Cunsheng", "" ] ]
Cyclic codes are an important class of linear codes, whose weight distribution have been extensively studied. Most previous results obtained so far were for cyclic codes with no more than three zeroes. Inspired by the works \cite{Li-Zeng-Hu} and \cite{gegeng2}, we study two families of cyclic codes over $\mathbb{F}_p$ ...
1306.4454
Lutz Bornmann Dr.
Lutz Bornmann, Loet Leydesdorff, and Jian Wang
Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P100)
Accepted for publication in the Journal of Informetrics
null
null
null
cs.DL stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Percentile-based approaches have been proposed as a non-parametric alternative to parametric central-tendency statistics to normalize observed citation counts. Percentiles are based on an ordered set of citation counts in a reference set, whereby the fraction of papers at or below the citation counts of a focal paper...
[ { "created": "Wed, 19 Jun 2013 08:43:02 GMT", "version": "v1" }, { "created": "Tue, 17 Sep 2013 12:18:02 GMT", "version": "v2" } ]
2013-09-18
[ [ "Bornmann", "Lutz", "" ], [ "Leydesdorff", "Loet", "" ], [ "Wang", "Jian", "" ] ]
Percentile-based approaches have been proposed as a non-parametric alternative to parametric central-tendency statistics to normalize observed citation counts. Percentiles are based on an ordered set of citation counts in a reference set, whereby the fraction of papers at or below the citation counts of a focal paper i...
1707.04679
Abhisek Kundu
Abhisek Kundu, Kunal Banerjee, Naveen Mellempudi, Dheevatsa Mudigere, Dipankar Das, Bharat Kaul, Pradeep Dubey
Ternary Residual Networks
null
null
null
null
cs.IT cs.AI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sub-8-bit representation of DNNs incur some discernible loss of accuracy despite rigorous (re)training at low-precision. Such loss of accuracy essentially makes them equivalent to a much shallower counterpart, diminishing the power of being deep networks. To address this problem of accuracy drop we introduce the noti...
[ { "created": "Sat, 15 Jul 2017 02:36:28 GMT", "version": "v1" }, { "created": "Tue, 31 Oct 2017 05:32:41 GMT", "version": "v2" } ]
2017-11-01
[ [ "Kundu", "Abhisek", "" ], [ "Banerjee", "Kunal", "" ], [ "Mellempudi", "Naveen", "" ], [ "Mudigere", "Dheevatsa", "" ], [ "Das", "Dipankar", "" ], [ "Kaul", "Bharat", "" ], [ "Dubey", "Pradeep", "" ] ]
Sub-8-bit representation of DNNs incur some discernible loss of accuracy despite rigorous (re)training at low-precision. Such loss of accuracy essentially makes them equivalent to a much shallower counterpart, diminishing the power of being deep networks. To address this problem of accuracy drop we introduce the notion...
2104.03702
Momin M. Malik
Hal Roberts, Rahul Bhargava, Linas Valiukas, Dennis Jen, Momin M. Malik, Cindy Bishop, Emily Ndulue, Aashka Dave, Justin Clark, Bruce Etling, Rob Faris, Anushka Shah, Jasmin Rubinovitz, Alexis Hope, Catherine D'Ignazio, Fernando Bermejo, Yochai Benkler, Ethan Zuckerman
Media Cloud: Massive Open Source Collection of Global News on the Open Web
15 pages, 9 figures, accepted (minus the 3-page, 3-image appendix given here) for publication and forthcoming in Proceedings of the Fifteenth International AAAI Conference on Web and Social Media (ICWSM-2021)
null
null
null
cs.SI cs.CY
http://creativecommons.org/licenses/by-nc-nd/4.0/
We present the first full description of Media Cloud, an open source platform based on crawling hyperlink structure in operation for over 10 years, that for many uses will be the best way to collect data for studying the media ecosystem on the open web. We document the key choices behind what data Media Cloud collect...
[ { "created": "Thu, 8 Apr 2021 11:51:13 GMT", "version": "v1" }, { "created": "Mon, 12 Apr 2021 13:22:30 GMT", "version": "v2" }, { "created": "Sat, 1 May 2021 23:01:20 GMT", "version": "v3" } ]
2021-05-04
[ [ "Roberts", "Hal", "" ], [ "Bhargava", "Rahul", "" ], [ "Valiukas", "Linas", "" ], [ "Jen", "Dennis", "" ], [ "Malik", "Momin M.", "" ], [ "Bishop", "Cindy", "" ], [ "Ndulue", "Emily", "" ], [ "Dave"...
We present the first full description of Media Cloud, an open source platform based on crawling hyperlink structure in operation for over 10 years, that for many uses will be the best way to collect data for studying the media ecosystem on the open web. We document the key choices behind what data Media Cloud collects ...
2401.13363
Zhe Xu
Zhe Xu, Kun Wei, Xu Yang, Cheng Deng
Do You Guys Want to Dance: Zero-Shot Compositional Human Dance Generation with Multiple Persons
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human dance generation (HDG) aims to synthesize realistic videos from images and sequences of driving poses. Despite great success, existing methods are limited to generating videos of a single person with specific backgrounds, while the generalizability for real-world scenarios with multiple persons and complex back...
[ { "created": "Wed, 24 Jan 2024 10:44:16 GMT", "version": "v1" } ]
2024-01-25
[ [ "Xu", "Zhe", "" ], [ "Wei", "Kun", "" ], [ "Yang", "Xu", "" ], [ "Deng", "Cheng", "" ] ]
Human dance generation (HDG) aims to synthesize realistic videos from images and sequences of driving poses. Despite great success, existing methods are limited to generating videos of a single person with specific backgrounds, while the generalizability for real-world scenarios with multiple persons and complex backgr...
1803.06300
Hengbiao Yu
Hengbiao Yu, Zhenbang Chen, Xianjin Fu, Ji Wang, Zhendong Su, Jun Sun, Chun Huang, and Wei Dong
Combining Symbolic Execution and Model Checking to Verify MPI Programs
17 pages
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Message passing is the standard paradigm of programming in high-performance computing. However, verifying Message Passing Interface (MPI) programs is challenging, due to the complex program features (such as non-determinism and non-blocking operations). In this work, we present MPI symbolic verifier (MPI-SV), the fir...
[ { "created": "Fri, 16 Mar 2018 16:33:35 GMT", "version": "v1" }, { "created": "Fri, 17 Jan 2020 03:50:40 GMT", "version": "v2" } ]
2020-01-20
[ [ "Yu", "Hengbiao", "" ], [ "Chen", "Zhenbang", "" ], [ "Fu", "Xianjin", "" ], [ "Wang", "Ji", "" ], [ "Su", "Zhendong", "" ], [ "Sun", "Jun", "" ], [ "Huang", "Chun", "" ], [ "Dong", "Wei", "...
Message passing is the standard paradigm of programming in high-performance computing. However, verifying Message Passing Interface (MPI) programs is challenging, due to the complex program features (such as non-determinism and non-blocking operations). In this work, we present MPI symbolic verifier (MPI-SV), the first...
2012.05829
Marceau Coupechoux
Deepa Jagyasi and Marceau Coupechoux
Secure and Robust MIMO Transceiver for Multicast Mission Critical Communications
null
null
null
null
cs.IT cs.NI math.IT
http://creativecommons.org/licenses/by-nc-nd/4.0/
Mission-critical communications (MCC) involve all communications between people in charge of the safety of the civil society. MCC have unique requirements that include improved reliability, security and group communication support. In this paper, we propose a secure and robust Multiple-Input-Multiple-Output (MIMO) tr...
[ { "created": "Thu, 10 Dec 2020 17:09:33 GMT", "version": "v1" } ]
2020-12-11
[ [ "Jagyasi", "Deepa", "" ], [ "Coupechoux", "Marceau", "" ] ]
Mission-critical communications (MCC) involve all communications between people in charge of the safety of the civil society. MCC have unique requirements that include improved reliability, security and group communication support. In this paper, we propose a secure and robust Multiple-Input-Multiple-Output (MIMO) tran...
1910.11459
Aaron M. Roth
Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso
A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game
RO-MAN 2019; 8 pages, 4 figures, 1 table
Proceedings of the 28th IEEE International Conference on Robot Human Interactive Communication, New Delhi, India, October 2019
null
null
cs.HC cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As robots are increasingly endowed with social and communicative capabilities, they will interact with humans in more settings, both collaborative and competitive. We explore human-robot relationships in the context of a competitive Stackelberg Security Game. We vary humanoid robot expressive language (in the form of...
[ { "created": "Thu, 24 Oct 2019 23:39:44 GMT", "version": "v1" } ]
2019-10-28
[ [ "Roth", "Aaron M.", "" ], [ "Reig", "Samantha", "" ], [ "Bhatt", "Umang", "" ], [ "Shulgach", "Jonathan", "" ], [ "Amin", "Tamara", "" ], [ "Doryab", "Afsaneh", "" ], [ "Fang", "Fei", "" ], [ "Velos...
As robots are increasingly endowed with social and communicative capabilities, they will interact with humans in more settings, both collaborative and competitive. We explore human-robot relationships in the context of a competitive Stackelberg Security Game. We vary humanoid robot expressive language (in the form of "...
2307.03175
Xiaoyu Zhang
Xiaoyu Zhang, Saurabh Gupta
Push Past Green: Learning to Look Behind Plant Foliage by Moving It
Accepted by Conference on Robot Learning (CoRL) 2023. for project website with video, see https://sites.google.com/view/pushpastgreen/
null
null
null
cs.RO cs.AI cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomous agriculture applications (e.g., inspection, phenotyping, plucking fruits) require manipulating the plant foliage to look behind the leaves and the branches. Partial visibility, extreme clutter, thin structures, and unknown geometry and dynamics for plants make such manipulation challenging. We tackle these...
[ { "created": "Thu, 6 Jul 2023 17:55:28 GMT", "version": "v1" }, { "created": "Wed, 5 Jun 2024 17:59:01 GMT", "version": "v2" } ]
2024-06-06
[ [ "Zhang", "Xiaoyu", "" ], [ "Gupta", "Saurabh", "" ] ]
Autonomous agriculture applications (e.g., inspection, phenotyping, plucking fruits) require manipulating the plant foliage to look behind the leaves and the branches. Partial visibility, extreme clutter, thin structures, and unknown geometry and dynamics for plants make such manipulation challenging. We tackle these c...
2406.14267
Sara Rajaee
Rochelle Choenni, Sara Rajaee, Christof Monz, Ekaterina Shutova
On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations?
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While multilingual language models (MLMs) have been trained on 100+ languages, they are typically only evaluated across a handful of them due to a lack of available test data in most languages. This is particularly problematic when assessing MLM's potential for low-resource and unseen languages. In this paper, we pre...
[ { "created": "Thu, 20 Jun 2024 12:46:12 GMT", "version": "v1" } ]
2024-06-21
[ [ "Choenni", "Rochelle", "" ], [ "Rajaee", "Sara", "" ], [ "Monz", "Christof", "" ], [ "Shutova", "Ekaterina", "" ] ]
While multilingual language models (MLMs) have been trained on 100+ languages, they are typically only evaluated across a handful of them due to a lack of available test data in most languages. This is particularly problematic when assessing MLM's potential for low-resource and unseen languages. In this paper, we prese...
1705.03501
Lixing Chen
Lixing Chen and Jie Xu
Socially Trusted Collaborative Edge Computing in Ultra Dense Networks
arXiv admin note: text overlap with arXiv:1010.4501 by other authors
null
null
null
cs.GT cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Small cell base stations (SBSs) endowed with cloud-like computing capabilities are considered as a key enabler of edge computing (EC), which provides ultra-low latency and location-awareness for a variety of emerging mobile applications and the Internet of Things. However, due to the limited computation resources of ...
[ { "created": "Tue, 9 May 2017 19:28:04 GMT", "version": "v1" }, { "created": "Thu, 11 May 2017 03:42:50 GMT", "version": "v2" } ]
2017-05-15
[ [ "Chen", "Lixing", "" ], [ "Xu", "Jie", "" ] ]
Small cell base stations (SBSs) endowed with cloud-like computing capabilities are considered as a key enabler of edge computing (EC), which provides ultra-low latency and location-awareness for a variety of emerging mobile applications and the Internet of Things. However, due to the limited computation resources of an...
1801.01203
Daniel Gruss
Paul Kocher, Daniel Genkin, Daniel Gruss, Werner Haas, Mike Hamburg, Moritz Lipp, Stefan Mangard, Thomas Prescher, Michael Schwarz, Yuval Yarom
Spectre Attacks: Exploiting Speculative Execution
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern processors use branch prediction and speculative execution to maximize performance. For example, if the destination of a branch depends on a memory value that is in the process of being read, CPUs will try guess the destination and attempt to execute ahead. When the memory value finally arrives, the CPU either...
[ { "created": "Wed, 3 Jan 2018 23:16:14 GMT", "version": "v1" } ]
2018-01-08
[ [ "Kocher", "Paul", "" ], [ "Genkin", "Daniel", "" ], [ "Gruss", "Daniel", "" ], [ "Haas", "Werner", "" ], [ "Hamburg", "Mike", "" ], [ "Lipp", "Moritz", "" ], [ "Mangard", "Stefan", "" ], [ "Prescher...
Modern processors use branch prediction and speculative execution to maximize performance. For example, if the destination of a branch depends on a memory value that is in the process of being read, CPUs will try guess the destination and attempt to execute ahead. When the memory value finally arrives, the CPU either d...
2010.09317
Qingqing Wu
Qingqing Wu, Jie Xu, Yong Zeng, Derrick Wing Kwan Ng, Naofal Al-Dhahir, Robert Schober, A. Lee Swindlehurst
A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence
Accepted by IEEE JSAC
null
null
null
cs.IT cs.AI cs.LG cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the advancements in cellular technologies and the dense deployment of cellular infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and beyond cellular networks is a promising solution to achieve safe UAV operation as well as enabling diversified applications with mission-...
[ { "created": "Mon, 19 Oct 2020 08:56:04 GMT", "version": "v1" }, { "created": "Sat, 12 Jun 2021 11:13:32 GMT", "version": "v2" } ]
2021-06-15
[ [ "Wu", "Qingqing", "" ], [ "Xu", "Jie", "" ], [ "Zeng", "Yong", "" ], [ "Ng", "Derrick Wing Kwan", "" ], [ "Al-Dhahir", "Naofal", "" ], [ "Schober", "Robert", "" ], [ "Swindlehurst", "A. Lee", "" ] ]
Due to the advancements in cellular technologies and the dense deployment of cellular infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and beyond cellular networks is a promising solution to achieve safe UAV operation as well as enabling diversified applications with mission-sp...
2206.04951
Sebasti\'an Basterrech
Sebastian Basterrech, Gerardo Rubino
Evolutionary Echo State Network: evolving reservoirs in the Fourier space
This manuscript was accepted at the 2022 International Joint Conference on Neural Networks (IJCNN 2022)
null
null
null
cs.NE cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
The Echo State Network (ESN) is a class of Recurrent Neural Network with a large number of hidden-hidden weights (in the so-called reservoir). Canonical ESN and its variations have recently received significant attention due to their remarkable success in the modeling of non-linear dynamical systems. The reservoir is...
[ { "created": "Fri, 10 Jun 2022 08:59:40 GMT", "version": "v1" }, { "created": "Thu, 29 Sep 2022 10:01:29 GMT", "version": "v2" } ]
2022-09-30
[ [ "Basterrech", "Sebastian", "" ], [ "Rubino", "Gerardo", "" ] ]
The Echo State Network (ESN) is a class of Recurrent Neural Network with a large number of hidden-hidden weights (in the so-called reservoir). Canonical ESN and its variations have recently received significant attention due to their remarkable success in the modeling of non-linear dynamical systems. The reservoir is r...
2401.17252
Mohamed Nomeir
Mohamed Nomeir, Alptug Aytekin, Sennur Ulukus
Quantum $X$-Secure $B$-Byzantine $T$-Colluding Private Information Retrieval
null
null
null
null
cs.IT cs.CR cs.NI eess.SP math.IT quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problems arising from the presence of Byzantine servers in a quantum private information retrieval (QPIR) setting. This is the first work to precisely define what the capabilities of Byzantine servers could be in a QPIR context. We show that quantum Byzantine servers have more capabilities than their ...
[ { "created": "Tue, 30 Jan 2024 18:44:41 GMT", "version": "v1" }, { "created": "Tue, 7 May 2024 17:19:49 GMT", "version": "v2" } ]
2024-05-08
[ [ "Nomeir", "Mohamed", "" ], [ "Aytekin", "Alptug", "" ], [ "Ulukus", "Sennur", "" ] ]
We consider the problems arising from the presence of Byzantine servers in a quantum private information retrieval (QPIR) setting. This is the first work to precisely define what the capabilities of Byzantine servers could be in a QPIR context. We show that quantum Byzantine servers have more capabilities than their cl...
2211.08770
Martina Iannacito
Olivier Coulaud (CONCACE), Luc Giraud (CONCACE), Martina Iannacito (KU-ESAT)
On some orthogonalization schemes in Tensor Train format
null
null
null
null
cs.DC cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the framework of tensor spaces, we consider orthogonalization kernels to generate an orthogonal basis of a tensor subspace from a set of linearly independent tensors. In particular, we experimentally study the loss of orthogonality of six orthogonalization methods, namely Classical and Modified Gram-Schmidt with (...
[ { "created": "Wed, 16 Nov 2022 08:58:17 GMT", "version": "v1" }, { "created": "Wed, 7 Dec 2022 14:30:58 GMT", "version": "v2" }, { "created": "Tue, 16 Jan 2024 09:27:47 GMT", "version": "v3" } ]
2024-01-17
[ [ "Coulaud", "Olivier", "", "CONCACE" ], [ "Giraud", "Luc", "", "CONCACE" ], [ "Iannacito", "Martina", "", "KU-ESAT" ] ]
In the framework of tensor spaces, we consider orthogonalization kernels to generate an orthogonal basis of a tensor subspace from a set of linearly independent tensors. In particular, we experimentally study the loss of orthogonality of six orthogonalization methods, namely Classical and Modified Gram-Schmidt with (CG...
1506.00060
Xiaohao Cai
Xiaohao Cai, Raymond Chan, Mila Nikolova, and Tieyong Zeng
A Three-stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT)
19 pages
null
null
null
cs.CV math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a SLaT (Smoothing, Lifting and Thresholding) method with three stages for multiphase segmentation of color images corrupted by different degradations: noise, information loss, and blur. At the first stage, a convex variant of the Mumford-Shah model is applied to each channel to obtain a smoo...
[ { "created": "Sat, 30 May 2015 02:53:18 GMT", "version": "v1" } ]
2015-06-02
[ [ "Cai", "Xiaohao", "" ], [ "Chan", "Raymond", "" ], [ "Nikolova", "Mila", "" ], [ "Zeng", "Tieyong", "" ] ]
In this paper, we propose a SLaT (Smoothing, Lifting and Thresholding) method with three stages for multiphase segmentation of color images corrupted by different degradations: noise, information loss, and blur. At the first stage, a convex variant of the Mumford-Shah model is applied to each channel to obtain a smooth...
1302.1537
Didier Dubois
Didier Dubois, Helene Fargier, Henri Prade
Decision-making Under Ordinal Preferences and Comparative Uncertainty
Appears in Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI1997)
null
null
UAI-P-1997-PG-157-164
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates the problem of finding a preference relation on a set of acts from the knowledge of an ordering on events (subsets of states of the world) describing the decision-maker (DM)s uncertainty and an ordering of consequences of acts, describing the DMs preferences. However, contrary to classical app...
[ { "created": "Wed, 6 Feb 2013 15:55:15 GMT", "version": "v1" } ]
2013-02-08
[ [ "Dubois", "Didier", "" ], [ "Fargier", "Helene", "" ], [ "Prade", "Henri", "" ] ]
This paper investigates the problem of finding a preference relation on a set of acts from the knowledge of an ordering on events (subsets of states of the world) describing the decision-maker (DM)s uncertainty and an ordering of consequences of acts, describing the DMs preferences. However, contrary to classical appro...
2006.01033
Marco Buongiorno Nardelli
Marco Buongiorno Nardelli
Tonal harmony and the topology of dynamical score networks
24 pages
null
null
null
cs.SD cs.SI eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce the concept of dynamical score networks for the representation and analysis of tonal compositions: a score is interpreted as a dynamical network where every chord is a node and each progression links successive chords. This network can be viewed as a time series of a non-stationary signal, and as such, i...
[ { "created": "Mon, 1 Jun 2020 15:59:56 GMT", "version": "v1" }, { "created": "Wed, 27 Jan 2021 00:12:51 GMT", "version": "v2" } ]
2021-01-28
[ [ "Nardelli", "Marco Buongiorno", "" ] ]
We introduce the concept of dynamical score networks for the representation and analysis of tonal compositions: a score is interpreted as a dynamical network where every chord is a node and each progression links successive chords. This network can be viewed as a time series of a non-stationary signal, and as such, it ...
1004.0424
Alexandru Popa Mr.
Rapha\"el Clifford, Zvi Gotthilf, Moshe Lewenstein and Alexandru Popa
Restricted Common Superstring and Restricted Common Supersequence
Submitted to WAOA 2010
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The {\em shortest common superstring} and the {\em shortest common supersequence} are two well studied problems having a wide range of applications. In this paper we consider both problems with resource constraints, denoted as the Restricted Common Superstring (shortly \textit{RCSstr}) problem and the Restricted Comm...
[ { "created": "Sat, 3 Apr 2010 07:14:53 GMT", "version": "v1" }, { "created": "Sun, 27 Jun 2010 18:56:01 GMT", "version": "v2" } ]
2010-06-29
[ [ "Clifford", "Raphaël", "" ], [ "Gotthilf", "Zvi", "" ], [ "Lewenstein", "Moshe", "" ], [ "Popa", "Alexandru", "" ] ]
The {\em shortest common superstring} and the {\em shortest common supersequence} are two well studied problems having a wide range of applications. In this paper we consider both problems with resource constraints, denoted as the Restricted Common Superstring (shortly \textit{RCSstr}) problem and the Restricted Common...
1511.03020
Loet Leydesdorff
Loet Leydesdorff and Adina Nerghes
Co-word Maps and Topic Modeling: A Comparison Using Small and Medium-Sized Corpora (n < 1000)
Journal of the Association for Information Science and Technology (JASIST, in press)
null
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Induced by "big data," "topic modeling" has become an attractive alternative to mapping co-words in terms of co-occurrences and co-absences using network techniques. Does topic modeling provide an alternative for co-word mapping in research practices using moderately sized document collections? We return to the word/...
[ { "created": "Tue, 10 Nov 2015 08:43:43 GMT", "version": "v1" }, { "created": "Fri, 26 Feb 2016 07:53:45 GMT", "version": "v2" } ]
2016-02-29
[ [ "Leydesdorff", "Loet", "" ], [ "Nerghes", "Adina", "" ] ]
Induced by "big data," "topic modeling" has become an attractive alternative to mapping co-words in terms of co-occurrences and co-absences using network techniques. Does topic modeling provide an alternative for co-word mapping in research practices using moderately sized document collections? We return to the word/do...
2311.16682
Changjian Li
Jiawei Wang, Changjian Li
ContextSeg: Sketch Semantic Segmentation by Querying the Context with Attention
null
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sketch semantic segmentation is a well-explored and pivotal problem in computer vision involving the assignment of pre-defined part labels to individual strokes. This paper presents ContextSeg - a simple yet highly effective approach to tackling this problem with two stages. In the first stage, to better encode the s...
[ { "created": "Tue, 28 Nov 2023 10:53:55 GMT", "version": "v1" }, { "created": "Mon, 25 Mar 2024 18:54:18 GMT", "version": "v2" } ]
2024-03-27
[ [ "Wang", "Jiawei", "" ], [ "Li", "Changjian", "" ] ]
Sketch semantic segmentation is a well-explored and pivotal problem in computer vision involving the assignment of pre-defined part labels to individual strokes. This paper presents ContextSeg - a simple yet highly effective approach to tackling this problem with two stages. In the first stage, to better encode the sha...
2408.08143
Yi Yu
Yi Yu, Qichen Zheng, Siyuan Yang, Wenhan Yang, Jun Liu, Shijian Lu, Yap-Peng Tan, Kwok-Yan Lam, and Alex Kot
Unlearnable Examples Detection via Iterative Filtering
Accepted by ICANN 2024
null
null
null
cs.CR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks are proven to be vulnerable to data poisoning attacks. Recently, a specific type of data poisoning attack known as availability attacks has led to the failure of data utilization for model learning by adding imperceptible perturbations to images. Consequently, it is quite beneficial and challengi...
[ { "created": "Thu, 15 Aug 2024 13:26:13 GMT", "version": "v1" } ]
2024-08-16
[ [ "Yu", "Yi", "" ], [ "Zheng", "Qichen", "" ], [ "Yang", "Siyuan", "" ], [ "Yang", "Wenhan", "" ], [ "Liu", "Jun", "" ], [ "Lu", "Shijian", "" ], [ "Tan", "Yap-Peng", "" ], [ "Lam", "Kwok-Yan", ...
Deep neural networks are proven to be vulnerable to data poisoning attacks. Recently, a specific type of data poisoning attack known as availability attacks has led to the failure of data utilization for model learning by adding imperceptible perturbations to images. Consequently, it is quite beneficial and challenging...
2110.12865
Philipp Herholz
Philipp Herholz, Xuan Tang, Teseo Schneider, Shoaib Kamil, Daniele Panozzo, Olga Sorkine-Hornung
Sparsity-Specific Code Optimization using Expression Trees
null
null
null
null
cs.PL cs.GR
http://creativecommons.org/licenses/by-sa/4.0/
We introduce a code generator that converts unoptimized C++ code operating on sparse data into vectorized and parallel CPU or GPU kernels. Our approach unrolls the computation into a massive expression graph, performs redundant expression elimination, grouping, and then generates an architecture-specific kernel to so...
[ { "created": "Fri, 15 Oct 2021 14:33:28 GMT", "version": "v1" }, { "created": "Mon, 14 Mar 2022 11:37:11 GMT", "version": "v2" } ]
2022-03-15
[ [ "Herholz", "Philipp", "" ], [ "Tang", "Xuan", "" ], [ "Schneider", "Teseo", "" ], [ "Kamil", "Shoaib", "" ], [ "Panozzo", "Daniele", "" ], [ "Sorkine-Hornung", "Olga", "" ] ]
We introduce a code generator that converts unoptimized C++ code operating on sparse data into vectorized and parallel CPU or GPU kernels. Our approach unrolls the computation into a massive expression graph, performs redundant expression elimination, grouping, and then generates an architecture-specific kernel to solv...
2012.11723
Jean Walrand
Jean Walrand, Max Turner, and Roy Myers
An Architecture for In-Vehicle Network
10 pages, 8 figures
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
As vehicles get equipped with increasingly complex sensors and processors, the communication requirements become more demanding. Traditionally, vehicles have used specialized networking technologies designed to guarantee bounded latencies, such as the Controller Area Network (CAN) bus. Recently, some have used dedica...
[ { "created": "Mon, 21 Dec 2020 22:35:24 GMT", "version": "v1" } ]
2020-12-23
[ [ "Walrand", "Jean", "" ], [ "Turner", "Max", "" ], [ "Myers", "Roy", "" ] ]
As vehicles get equipped with increasingly complex sensors and processors, the communication requirements become more demanding. Traditionally, vehicles have used specialized networking technologies designed to guarantee bounded latencies, such as the Controller Area Network (CAN) bus. Recently, some have used dedicate...
1105.1347
Daniel Genin
Daniel Genin and Tassos Nakassis
Modeling queuing dynamics of TCP: a simple model and its empirical validation
null
null
null
null
cs.NI
http://creativecommons.org/licenses/publicdomain/
Understanding queuing dynamics of TCP is important for correct router buffer sizing as well as for optimizing the performance of the TCP protocol itself. However, modeling of buffer content dynamics under TCP has received relatively little attention given its importance. Commonly used queuing models are based on over...
[ { "created": "Fri, 6 May 2011 18:19:42 GMT", "version": "v1" } ]
2011-05-09
[ [ "Genin", "Daniel", "" ], [ "Nakassis", "Tassos", "" ] ]
Understanding queuing dynamics of TCP is important for correct router buffer sizing as well as for optimizing the performance of the TCP protocol itself. However, modeling of buffer content dynamics under TCP has received relatively little attention given its importance. Commonly used queuing models are based on overly...
1803.11305
Guangcan Liu
Guangcan Liu, Zhao Zhang, Qingshan Liu, Kongkai Xiong
Robust Subspace Clustering with Compressed Data
null
IEEE Transactions on Image Processing, 2019
10.1109/TIP.2019.2917857
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dimension reduction is widely regarded as an effective way for decreasing the computation, storage and communication loads of data-driven intelligent systems, leading to a growing demand for statistical methods that allow analysis (e.g., clustering) of compressed data. We therefore study in this paper a novel problem...
[ { "created": "Fri, 30 Mar 2018 01:34:55 GMT", "version": "v1" }, { "created": "Mon, 27 Aug 2018 05:31:53 GMT", "version": "v2" }, { "created": "Sat, 29 Dec 2018 03:27:43 GMT", "version": "v3" }, { "created": "Wed, 2 Jan 2019 01:33:57 GMT", "version": "v4" }, { "cr...
2019-08-23
[ [ "Liu", "Guangcan", "" ], [ "Zhang", "Zhao", "" ], [ "Liu", "Qingshan", "" ], [ "Xiong", "Kongkai", "" ] ]
Dimension reduction is widely regarded as an effective way for decreasing the computation, storage and communication loads of data-driven intelligent systems, leading to a growing demand for statistical methods that allow analysis (e.g., clustering) of compressed data. We therefore study in this paper a novel problem c...
2105.08008
Marco Valentino
Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, Andr\'e Freitas
Supporting Context Monotonicity Abstractions in Neural NLI Models
NALOMA'21 (NAtural LOgic Meets MAchine Learning) @IWCS 2021
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Natural language contexts display logical regularities with respect to substitutions of related concepts: these are captured in a functional order-theoretic property called monotonicity. For a certain class of NLI problems where the resulting entailment label depends only on the context monotonicity and the relation ...
[ { "created": "Mon, 17 May 2021 16:43:43 GMT", "version": "v1" } ]
2021-05-18
[ [ "Rozanova", "Julia", "" ], [ "Ferreira", "Deborah", "" ], [ "Thayaparan", "Mokanarangan", "" ], [ "Valentino", "Marco", "" ], [ "Freitas", "André", "" ] ]
Natural language contexts display logical regularities with respect to substitutions of related concepts: these are captured in a functional order-theoretic property called monotonicity. For a certain class of NLI problems where the resulting entailment label depends only on the context monotonicity and the relation be...
1809.03327
Ning Xu
Ning Xu, Linjie Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, and Thomas Huang
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Dataset Report. arXiv admin note: substantial text overlap with arXiv:1809.00461
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning long-term spatial-temporal features are critical for many video analysis tasks. However, existing video segmentation methods predominantly rely on static image segmentation techniques, and methods capturing temporal dependency for segmentation have to depend on pretrained optical flow models, leading to subo...
[ { "created": "Thu, 6 Sep 2018 04:19:45 GMT", "version": "v1" } ]
2018-09-11
[ [ "Xu", "Ning", "" ], [ "Yang", "Linjie", "" ], [ "Fan", "Yuchen", "" ], [ "Yue", "Dingcheng", "" ], [ "Liang", "Yuchen", "" ], [ "Yang", "Jianchao", "" ], [ "Huang", "Thomas", "" ] ]
Learning long-term spatial-temporal features are critical for many video analysis tasks. However, existing video segmentation methods predominantly rely on static image segmentation techniques, and methods capturing temporal dependency for segmentation have to depend on pretrained optical flow models, leading to subopt...
1501.06419
Diego Mirandola
Diego Mirandola and Gilles Z\'emor
Critical pairs for the Product Singleton Bound
null
Information Theory, IEEE Transactions on (Volume:61 , Issue: 9 ), 2015
10.1109/TIT.2015.2450207
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We characterize Product-MDS pairs of linear codes, i.e.\ pairs of codes $C,D$ whose product under coordinatewise multiplication has maximum possible minimum distance as a function of the code length and the dimensions $\dim C, \dim D$. We prove in particular, for $C=D$, that if the square of the code $C$ has minimum ...
[ { "created": "Mon, 26 Jan 2015 14:48:04 GMT", "version": "v1" }, { "created": "Thu, 20 Aug 2015 10:09:01 GMT", "version": "v2" } ]
2015-08-21
[ [ "Mirandola", "Diego", "" ], [ "Zémor", "Gilles", "" ] ]
We characterize Product-MDS pairs of linear codes, i.e.\ pairs of codes $C,D$ whose product under coordinatewise multiplication has maximum possible minimum distance as a function of the code length and the dimensions $\dim C, \dim D$. We prove in particular, for $C=D$, that if the square of the code $C$ has minimum di...
1807.08237
Xingjun Ma
Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data
In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), 2018
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning nonlinear dynamics from diffusion data is a challenging problem since the individuals observed may be different at different time points, generally following an aggregate behaviour. Existing work cannot handle the tasks well since they model such dynamics either directly on observations or enforce the availa...
[ { "created": "Sun, 22 Jul 2018 05:59:41 GMT", "version": "v1" }, { "created": "Sun, 29 Jul 2018 12:07:43 GMT", "version": "v2" } ]
2018-07-31
[ [ "Wang", "Yisen", "" ], [ "Dai", "Bo", "" ], [ "Kong", "Lingkai", "" ], [ "Erfani", "Sarah Monazam", "" ], [ "Bailey", "James", "" ], [ "Zha", "Hongyuan", "" ] ]
Learning nonlinear dynamics from diffusion data is a challenging problem since the individuals observed may be different at different time points, generally following an aggregate behaviour. Existing work cannot handle the tasks well since they model such dynamics either directly on observations or enforce the availabi...
2108.06313
Daniel Kang
Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia
Accelerating Approximate Aggregation Queries with Expensive Predicates
null
PVLDB, 14(11): 2341 - 2354, 2021
10.14778/3476249.3476285
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Researchers and industry analysts are increasingly interested in computing aggregation queries over large, unstructured datasets with selective predicates that are computed using expensive deep neural networks (DNNs). As these DNNs are expensive and because many applications can tolerate approximate answers, analysts...
[ { "created": "Fri, 13 Aug 2021 16:38:53 GMT", "version": "v1" } ]
2021-08-16
[ [ "Kang", "Daniel", "" ], [ "Guibas", "John", "" ], [ "Bailis", "Peter", "" ], [ "Hashimoto", "Tatsunori", "" ], [ "Sun", "Yi", "" ], [ "Zaharia", "Matei", "" ] ]
Researchers and industry analysts are increasingly interested in computing aggregation queries over large, unstructured datasets with selective predicates that are computed using expensive deep neural networks (DNNs). As these DNNs are expensive and because many applications can tolerate approximate answers, analysts a...
2107.13720
Xinyang Feng
Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection
Accepted for publication in the 29th ACM International Conference on Multimedia (ACMMM '21)
null
10.1145/3474085.3475693
null
cs.CV cs.AI cs.LG cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Detecting abnormal activities in real-world surveillance videos is an important yet challenging task as the prior knowledge about video anomalies is usually limited or unavailable. Despite that many approaches have been developed to resolve this problem, few of them can capture the normal spatio-temporal patterns eff...
[ { "created": "Thu, 29 Jul 2021 03:07:25 GMT", "version": "v1" } ]
2021-07-30
[ [ "Feng", "Xinyang", "" ], [ "Song", "Dongjin", "" ], [ "Chen", "Yuncong", "" ], [ "Chen", "Zhengzhang", "" ], [ "Ni", "Jingchao", "" ], [ "Chen", "Haifeng", "" ] ]
Detecting abnormal activities in real-world surveillance videos is an important yet challenging task as the prior knowledge about video anomalies is usually limited or unavailable. Despite that many approaches have been developed to resolve this problem, few of them can capture the normal spatio-temporal patterns effec...
2109.13412
Jan Funke
Nils Eckstein, Alexander S. Bates, Gregory S.X.E. Jefferis, Jan Funke
Discriminative Attribution from Counterfactuals
null
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
We present a method for neural network interpretability by combining feature attribution with counterfactual explanations to generate attribution maps that highlight the most discriminative features between pairs of classes. We show that this method can be used to quantitatively evaluate the performance of feature at...
[ { "created": "Tue, 28 Sep 2021 00:53:34 GMT", "version": "v1" } ]
2021-09-29
[ [ "Eckstein", "Nils", "" ], [ "Bates", "Alexander S.", "" ], [ "Jefferis", "Gregory S. X. E.", "" ], [ "Funke", "Jan", "" ] ]
We present a method for neural network interpretability by combining feature attribution with counterfactual explanations to generate attribution maps that highlight the most discriminative features between pairs of classes. We show that this method can be used to quantitatively evaluate the performance of feature attr...
2301.08849
Jiaqing Xie
Sofie Daniels, Jiugeng Sun, Jiaqing Xie
CADA-GAN: Context-Aware GAN with Data Augmentation
Submitted to ETHDL2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current child face generators are restricted by the limited size of the available datasets. In addition, feature selection can prove to be a significant challenge, especially due to the large amount of features that need to be trained for. To manage these problems, we proposed CADA-GAN, a \textbf{C}ontext-\textbf{A}w...
[ { "created": "Sat, 21 Jan 2023 01:52:17 GMT", "version": "v1" } ]
2023-01-24
[ [ "Daniels", "Sofie", "" ], [ "Sun", "Jiugeng", "" ], [ "Xie", "Jiaqing", "" ] ]
Current child face generators are restricted by the limited size of the available datasets. In addition, feature selection can prove to be a significant challenge, especially due to the large amount of features that need to be trained for. To manage these problems, we proposed CADA-GAN, a \textbf{C}ontext-\textbf{A}war...
2009.13953
Shivaank Agarwal
Shivaank Agarwal, Ravindra Gudi, Paresh Saxena
One-Shot learning based classification for segregation of plastic waste
Accepted in The International Conference on Digital Image Computing: Techniques and Applications, 2020
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of segregating recyclable waste is fairly daunting for many countries. This article presents an approach for image based classification of plastic waste using one-shot learning techniques. The proposed approach exploits discriminative features generated via the siamese and triplet loss convolutional neura...
[ { "created": "Tue, 29 Sep 2020 12:16:50 GMT", "version": "v1" } ]
2020-09-30
[ [ "Agarwal", "Shivaank", "" ], [ "Gudi", "Ravindra", "" ], [ "Saxena", "Paresh", "" ] ]
The problem of segregating recyclable waste is fairly daunting for many countries. This article presents an approach for image based classification of plastic waste using one-shot learning techniques. The proposed approach exploits discriminative features generated via the siamese and triplet loss convolutional neural ...
2403.11117
Yingjie Pei
Yingjie Pei, Xinwei Yue, Chongwen Huang, Zhiping Lu
Secrecy Performance Analysis of RIS Assisted Ambient Backscatter Communication Networks
This paper has been accepted for publication in IEEE Transactions on Green Communications and Networking
null
10.1109/TGCN.2024.3365692
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reconfigurable intelligent surface (RIS) and ambient backscatter communication (AmBC) have been envisioned as two promising technologies due to their high transmission reliability as well as energy-efficiency. This paper investigates the secrecy performance of RIS assisted AmBC networks. New closed-form and asymptoti...
[ { "created": "Sun, 17 Mar 2024 06:56:42 GMT", "version": "v1" } ]
2024-03-19
[ [ "Pei", "Yingjie", "" ], [ "Yue", "Xinwei", "" ], [ "Huang", "Chongwen", "" ], [ "Lu", "Zhiping", "" ] ]
Reconfigurable intelligent surface (RIS) and ambient backscatter communication (AmBC) have been envisioned as two promising technologies due to their high transmission reliability as well as energy-efficiency. This paper investigates the secrecy performance of RIS assisted AmBC networks. New closed-form and asymptotic ...
2305.01958
Chao Ren
Ren Chao and Yang Menghui
Information flow simulation community detection of weighted-directed campus friendship network in continuous time
22 pages, 4 tables
null
null
null
cs.SI cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Educational data mining has become an important research field in studying the social behavior of college students using massive data. However, traditional campus friendship network and their community detection algorithms, which lack time characteristics, have their limitations. This paper proposes a new approach to...
[ { "created": "Wed, 3 May 2023 08:20:08 GMT", "version": "v1" } ]
2023-05-04
[ [ "Chao", "Ren", "" ], [ "Menghui", "Yang", "" ] ]
Educational data mining has become an important research field in studying the social behavior of college students using massive data. However, traditional campus friendship network and their community detection algorithms, which lack time characteristics, have their limitations. This paper proposes a new approach to a...
2004.13609
Jonathan P. Chang
Jonathan P. Chang, Justin Cheng, Cristian Danescu-Niculescu-Mizil
Don't Let Me Be Misunderstood: Comparing Intentions and Perceptions in Online Discussions
Proceedings of The Web Conference (WWW) 2020
null
10.1145/3366423.3380273
null
cs.CY cs.CL cs.SI physics.soc-ph
http://creativecommons.org/licenses/by/4.0/
Discourse involves two perspectives: a person's intention in making an utterance and others' perception of that utterance. The misalignment between these perspectives can lead to undesirable outcomes, such as misunderstandings, low productivity and even overt strife. In this work, we present a computational framework...
[ { "created": "Tue, 28 Apr 2020 15:43:46 GMT", "version": "v1" } ]
2020-04-29
[ [ "Chang", "Jonathan P.", "" ], [ "Cheng", "Justin", "" ], [ "Danescu-Niculescu-Mizil", "Cristian", "" ] ]
Discourse involves two perspectives: a person's intention in making an utterance and others' perception of that utterance. The misalignment between these perspectives can lead to undesirable outcomes, such as misunderstandings, low productivity and even overt strife. In this work, we present a computational framework f...
2407.17305
Ali Safa
Ali Safa
Continual Learning in Bio-plausible Spiking Neural Networks with Hebbian and Spike Timing Dependent Plasticity: A Survey and Perspective
null
null
null
null
cs.NE
http://creativecommons.org/licenses/by/4.0/
Recently, the use bio-plausible learning techniques such as Hebbian and Spike-Timing-Dependent Plasticity (STDP) have drawn significant attention for the design of compute-efficient AI systems that can continuously learn on-line at the edge. A key differentiating factor regarding this emerging class of neuromorphic c...
[ { "created": "Wed, 24 Jul 2024 14:20:59 GMT", "version": "v1" } ]
2024-07-25
[ [ "Safa", "Ali", "" ] ]
Recently, the use bio-plausible learning techniques such as Hebbian and Spike-Timing-Dependent Plasticity (STDP) have drawn significant attention for the design of compute-efficient AI systems that can continuously learn on-line at the edge. A key differentiating factor regarding this emerging class of neuromorphic con...
2005.00209
EPTCS
Octavio Zapata
Effectus of Quantum Probability on Relational Structures
In Proceedings QPL 2019, arXiv:2004.14750
EPTCS 318, 2020, pp. 53-65
10.4204/EPTCS.318.4
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The notion of effectus from categorical logic is relevant in the emerging field of categorical probability theory. In some cases, stochastic maps are represented by maps in the Kleisli category of some probability monad. Quantum homomorphisms from combinatorics and quantum information theory are the Kleisli maps of c...
[ { "created": "Fri, 1 May 2020 04:10:25 GMT", "version": "v1" } ]
2020-05-04
[ [ "Zapata", "Octavio", "" ] ]
The notion of effectus from categorical logic is relevant in the emerging field of categorical probability theory. In some cases, stochastic maps are represented by maps in the Kleisli category of some probability monad. Quantum homomorphisms from combinatorics and quantum information theory are the Kleisli maps of cer...
2305.00380
Zifeng Wang
Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer Dy
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
Accepted at ICML 2023 as a conference paper
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rehearsal-based approaches are a mainstay of continual learning (CL). They mitigate the catastrophic forgetting problem by maintaining a small fixed-size buffer with a subset of data from past tasks. While most rehearsal-based approaches study how to effectively exploit the knowledge from the buffered past data, litt...
[ { "created": "Sun, 30 Apr 2023 04:09:45 GMT", "version": "v1" } ]
2023-05-02
[ [ "Wang", "Zifeng", "" ], [ "Zhan", "Zheng", "" ], [ "Gong", "Yifan", "" ], [ "Shao", "Yucai", "" ], [ "Ioannidis", "Stratis", "" ], [ "Wang", "Yanzhi", "" ], [ "Dy", "Jennifer", "" ] ]
Rehearsal-based approaches are a mainstay of continual learning (CL). They mitigate the catastrophic forgetting problem by maintaining a small fixed-size buffer with a subset of data from past tasks. While most rehearsal-based approaches study how to effectively exploit the knowledge from the buffered past data, little...
1606.00877
Petri Hallikainen
Petri Hallikainen and Ravi Seethamraju
Aligning Enterprise Systems with the Organisation A Sensemaking Perspective
Research-in-progress ISBN# 978-0-646-95337-3 Presented at the Australasian Conference on Information Systems 2015 (arXiv:1605.01032)
null
null
ACIS/2015/79
cs.CY
http://creativecommons.org/licenses/by-nc-sa/4.0/
This paper explores the alignment of enterprise systems and organisations on the post-adoptive phase. A research model is presented focusing on the alignment decisions in the managerial search process for solutions to business problems related to enterprise systems. Based on the research model we propose research que...
[ { "created": "Sat, 28 May 2016 04:55:50 GMT", "version": "v1" } ]
2016-06-06
[ [ "Hallikainen", "Petri", "" ], [ "Seethamraju", "Ravi", "" ] ]
This paper explores the alignment of enterprise systems and organisations on the post-adoptive phase. A research model is presented focusing on the alignment decisions in the managerial search process for solutions to business problems related to enterprise systems. Based on the research model we propose research quest...
2008.02159
Wanxin Jin
Wanxin Jin, Todd D. Murphey, Dana Kuli\'c, Neta Ezer, Shaoshuai Mou
Learning from Sparse Demonstrations
This is a preprint. The published version can be accessed at IEEE Transactions on Robotics
null
null
null
cs.RO cs.LG cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper develops the method of Continuous Pontryagin Differentiable Programming (Continuous PDP), which enables a robot to learn an objective function from a few sparsely demonstrated keyframes. The keyframes, labeled with some time stamps, are the desired task-space outputs, which a robot is expected to follow se...
[ { "created": "Wed, 5 Aug 2020 14:25:39 GMT", "version": "v1" }, { "created": "Mon, 24 Jan 2022 02:41:13 GMT", "version": "v2" }, { "created": "Mon, 8 Aug 2022 21:51:08 GMT", "version": "v3" } ]
2022-08-10
[ [ "Jin", "Wanxin", "" ], [ "Murphey", "Todd D.", "" ], [ "Kulić", "Dana", "" ], [ "Ezer", "Neta", "" ], [ "Mou", "Shaoshuai", "" ] ]
This paper develops the method of Continuous Pontryagin Differentiable Programming (Continuous PDP), which enables a robot to learn an objective function from a few sparsely demonstrated keyframes. The keyframes, labeled with some time stamps, are the desired task-space outputs, which a robot is expected to follow sequ...
1309.5946
Piotr Beling
Piotr Beling
A Complexity of double dummy bridge
10 pages, in Polish
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an analysis of complexity of double dummy bridge. Values of both, a state-space (search-space) complexity and a game tree complexity have been estimated. ----- Oszacowanie z{\l}o\.zono\'sci problemu rozgrywki w otwarte karty w bryd\.zu Artyku{\l} zawiera analiz{\ke} z{\l}o\.zono\'sci problem...
[ { "created": "Mon, 23 Sep 2013 19:54:06 GMT", "version": "v1" } ]
2013-09-25
[ [ "Beling", "Piotr", "" ] ]
This paper presents an analysis of complexity of double dummy bridge. Values of both, a state-space (search-space) complexity and a game tree complexity have been estimated. ----- Oszacowanie z{\l}o\.zono\'sci problemu rozgrywki w otwarte karty w bryd\.zu Artyku{\l} zawiera analiz{\ke} z{\l}o\.zono\'sci problemu rozgry...
0911.5246
Ian Pratt-Hartmann
Ivo D\"untsch, Ian Pratt-Hartmann
Complex Algebras of Arithmetic
null
Fundamenta Informaticae, 97 (4), 2009, pp. 347-367
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An 'arithmetic circuit' is a labeled, acyclic directed graph specifying a sequence of arithmetic and logical operations to be performed on sets of natural numbers. Arithmetic circuits can also be viewed as the elements of the smallest subalgebra of the complex algebra of the semiring of natural numbers. In the presen...
[ { "created": "Fri, 27 Nov 2009 11:43:04 GMT", "version": "v1" }, { "created": "Tue, 1 Dec 2009 17:39:28 GMT", "version": "v2" } ]
2024-04-24
[ [ "Düntsch", "Ivo", "" ], [ "Pratt-Hartmann", "Ian", "" ] ]
An 'arithmetic circuit' is a labeled, acyclic directed graph specifying a sequence of arithmetic and logical operations to be performed on sets of natural numbers. Arithmetic circuits can also be viewed as the elements of the smallest subalgebra of the complex algebra of the semiring of natural numbers. In the present ...
2309.10432
Aurel Page
Aurel Page (IMB, CANARI, LFANT), Benjamin Wesolowski (CNRS, ENS de Lyon, UMPA-ENSL)
The supersingular Endomorphism Ring and One Endomorphism problems are equivalent
null
null
null
null
cs.CR math.AG math.NT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The supersingular Endomorphism Ring problem is the following: given a supersingular elliptic curve, compute all of its endomorphisms. The presumed hardness of this problem is foundational for isogeny-based cryptography. The One Endomorphism problem only asks to find a single non-scalar endomorphism. We prove that the...
[ { "created": "Tue, 19 Sep 2023 08:47:12 GMT", "version": "v1" }, { "created": "Mon, 16 Oct 2023 11:06:20 GMT", "version": "v2" } ]
2023-10-17
[ [ "Page", "Aurel", "", "IMB, CANARI, LFANT" ], [ "Wesolowski", "Benjamin", "", "CNRS, ENS de\n Lyon, UMPA-ENSL" ] ]
The supersingular Endomorphism Ring problem is the following: given a supersingular elliptic curve, compute all of its endomorphisms. The presumed hardness of this problem is foundational for isogeny-based cryptography. The One Endomorphism problem only asks to find a single non-scalar endomorphism. We prove that these...
2308.01285
Martin Josifoski
Martin Josifoski, Lars Klein, Maxime Peyrard, Nicolas Baldwin, Yifei Li, Saibo Geng, Julian Paul Schnitzler, Yuxing Yao, Jiheng Wei, Debjit Paul, Robert West
Flows: Building Blocks of Reasoning and Collaborating AI
null
null
null
null
cs.AI cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in artificial intelligence (AI) have produced highly capable and controllable systems. This creates unprecedented opportunities for structured reasoning as well as collaboration among multiple AI systems and humans. To fully realize this potential, it is essential to develop a principled way of design...
[ { "created": "Wed, 2 Aug 2023 17:14:22 GMT", "version": "v1" }, { "created": "Mon, 5 Feb 2024 20:46:47 GMT", "version": "v2" }, { "created": "Wed, 7 Feb 2024 10:15:53 GMT", "version": "v3" } ]
2024-02-08
[ [ "Josifoski", "Martin", "" ], [ "Klein", "Lars", "" ], [ "Peyrard", "Maxime", "" ], [ "Baldwin", "Nicolas", "" ], [ "Li", "Yifei", "" ], [ "Geng", "Saibo", "" ], [ "Schnitzler", "Julian Paul", "" ], [ ...
Recent advances in artificial intelligence (AI) have produced highly capable and controllable systems. This creates unprecedented opportunities for structured reasoning as well as collaboration among multiple AI systems and humans. To fully realize this potential, it is essential to develop a principled way of designin...
1611.02737
Jaroslaw Szlichta
Sridevi Baskaran, Alexander Keller, Fei Chiang, Golab Lukasz, Jaroslaw Szlichta
Efficient Discovery of Ontology Functional Dependencies
12 pages
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Poor data quality has become a pervasive issue due to the increasing complexity and size of modern datasets. Constraint based data cleaning techniques rely on integrity constraints as a benchmark to identify and correct errors. Data values that do not satisfy the given set of constraints are flagged as dirty, and dat...
[ { "created": "Tue, 8 Nov 2016 22:03:35 GMT", "version": "v1" }, { "created": "Wed, 16 Nov 2016 05:13:36 GMT", "version": "v2" }, { "created": "Wed, 24 May 2017 01:44:45 GMT", "version": "v3" } ]
2017-05-25
[ [ "Baskaran", "Sridevi", "" ], [ "Keller", "Alexander", "" ], [ "Chiang", "Fei", "" ], [ "Lukasz", "Golab", "" ], [ "Szlichta", "Jaroslaw", "" ] ]
Poor data quality has become a pervasive issue due to the increasing complexity and size of modern datasets. Constraint based data cleaning techniques rely on integrity constraints as a benchmark to identify and correct errors. Data values that do not satisfy the given set of constraints are flagged as dirty, and data ...
2010.00363
Daichi Mochihashi
Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Long Short-Term Memory recurrent neural network (LSTM) is widely used and known to capture informative long-term syntactic dependencies. However, how such information are reflected in its internal vectors for natural text has not yet been sufficiently investigated. We analyze them by learning a language model where s...
[ { "created": "Thu, 1 Oct 2020 12:49:01 GMT", "version": "v1" } ]
2020-10-02
[ [ "Shibata", "Chihiro", "" ], [ "Uchiumi", "Kei", "" ], [ "Mochihashi", "Daichi", "" ] ]
Long Short-Term Memory recurrent neural network (LSTM) is widely used and known to capture informative long-term syntactic dependencies. However, how such information are reflected in its internal vectors for natural text has not yet been sufficiently investigated. We analyze them by learning a language model where syn...