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1705.09772
Hazim Shakhatreh
Hazim Shakhatreh and Abdallah Khreishah
Maximizing Indoor Wireless Coverage Using UAVs Equipped with Directional Antennas
19 pages, 17 figures
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Unmanned aerial vehicles (UAVs) can be used to provide wireless coverage during emergency cases where each UAV serves as an aerial wireless base station when the cellular network goes down. They can also be used to supplement the ground base station in order to provide better coverage and higher data rates for the us...
[ { "created": "Sat, 27 May 2017 06:17:55 GMT", "version": "v1" } ]
2017-05-30
[ [ "Shakhatreh", "Hazim", "" ], [ "Khreishah", "Abdallah", "" ] ]
Unmanned aerial vehicles (UAVs) can be used to provide wireless coverage during emergency cases where each UAV serves as an aerial wireless base station when the cellular network goes down. They can also be used to supplement the ground base station in order to provide better coverage and higher data rates for the user...
2008.09775
Qiang Liu
Zhaocheng Liu and Qiang Liu and Haoli Zhang and Yuntian Chen
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For sake of reliability, it is necessary for models in real-world applications to be both powerful and globally interpretable. Simple classifiers, e.g., Logistic Regression (LR), are globally interpretable, but not powerful enough to model complex nonlinear interactions among features in tabular data. Meanwhile, Deep...
[ { "created": "Sat, 22 Aug 2020 08:03:15 GMT", "version": "v1" }, { "created": "Mon, 21 Sep 2020 08:28:48 GMT", "version": "v2" }, { "created": "Tue, 10 Nov 2020 04:55:49 GMT", "version": "v3" }, { "created": "Wed, 16 Dec 2020 10:30:34 GMT", "version": "v4" }, { "c...
2021-01-20
[ [ "Liu", "Zhaocheng", "" ], [ "Liu", "Qiang", "" ], [ "Zhang", "Haoli", "" ], [ "Chen", "Yuntian", "" ] ]
For sake of reliability, it is necessary for models in real-world applications to be both powerful and globally interpretable. Simple classifiers, e.g., Logistic Regression (LR), are globally interpretable, but not powerful enough to model complex nonlinear interactions among features in tabular data. Meanwhile, Deep N...
2012.09092
Chaochao Lu
Chaochao Lu, Biwei Huang, Ke Wang, Jos\'e Miguel Hern\'andez-Lobato, Kun Zhang, Bernhard Sch\"olkopf
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
Neural Information Processing Systems Workshop on Offline Reinforcement Learning
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reinforcement learning (RL) algorithms usually require a substantial amount of interaction data and perform well only for specific tasks in a fixed environment. In some scenarios such as healthcare, however, usually only few records are available for each patient, and patients may show different responses to the same...
[ { "created": "Wed, 16 Dec 2020 17:21:13 GMT", "version": "v1" } ]
2020-12-17
[ [ "Lu", "Chaochao", "" ], [ "Huang", "Biwei", "" ], [ "Wang", "Ke", "" ], [ "Hernández-Lobato", "José Miguel", "" ], [ "Zhang", "Kun", "" ], [ "Schölkopf", "Bernhard", "" ] ]
Reinforcement learning (RL) algorithms usually require a substantial amount of interaction data and perform well only for specific tasks in a fixed environment. In some scenarios such as healthcare, however, usually only few records are available for each patient, and patients may show different responses to the same t...
2003.01793
Romain Lebreton
Eleonora Guerrini, Romain Lebreton, Ilaria Zappatore
Enhancing simultaneous rational function recovery: adaptive error correction capability and new bounds for applications
null
null
null
null
cs.IT cs.SC math.IT
http://creativecommons.org/licenses/by-sa/4.0/
In this work we present some results that allow to improve the decoding radius in solving polynomial linear systems with errors in the scenario where errors are additive and randomly distributed over a finite field. The decoding radius depends on some bounds on the solution that we want to recover, so their overestim...
[ { "created": "Tue, 3 Mar 2020 21:01:51 GMT", "version": "v1" } ]
2020-03-05
[ [ "Guerrini", "Eleonora", "" ], [ "Lebreton", "Romain", "" ], [ "Zappatore", "Ilaria", "" ] ]
In this work we present some results that allow to improve the decoding radius in solving polynomial linear systems with errors in the scenario where errors are additive and randomly distributed over a finite field. The decoding radius depends on some bounds on the solution that we want to recover, so their overestimat...
1909.00557
Ye Yu
Ye Yu, and Niraj K. Jha
SPRING: A Sparsity-Aware Reduced-Precision Monolithic 3D CNN Accelerator Architecture for Training and Inference
null
null
10.1109/TETC.2020.3003328
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
CNNs outperform traditional machine learning algorithms across a wide range of applications. However, their computational complexity makes it necessary to design efficient hardware accelerators. Most CNN accelerators focus on exploring dataflow styles that exploit computational parallelism. However, potential perform...
[ { "created": "Mon, 2 Sep 2019 05:59:54 GMT", "version": "v1" }, { "created": "Mon, 3 Feb 2020 01:29:13 GMT", "version": "v2" } ]
2020-06-25
[ [ "Yu", "Ye", "" ], [ "Jha", "Niraj K.", "" ] ]
CNNs outperform traditional machine learning algorithms across a wide range of applications. However, their computational complexity makes it necessary to design efficient hardware accelerators. Most CNN accelerators focus on exploring dataflow styles that exploit computational parallelism. However, potential performan...
2406.17576
Cheng Wang
Cheng Wang, Christopher Redino, Ryan Clark, Abdul Rahman, Sal Aguinaga, Sathvik Murli, Dhruv Nandakumar, Roland Rao, Lanxiao Huang, Daniel Radke, Edward Bowen
Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations
null
null
null
null
cs.CR cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Ransomware presents a significant and increasing threat to individuals and organizations by encrypting their systems and not releasing them until a large fee has been extracted. To bolster preparedness against potential attacks, organizations commonly conduct red teaming exercises, which involve simulated attacks to ...
[ { "created": "Tue, 25 Jun 2024 14:16:40 GMT", "version": "v1" } ]
2024-06-26
[ [ "Wang", "Cheng", "" ], [ "Redino", "Christopher", "" ], [ "Clark", "Ryan", "" ], [ "Rahman", "Abdul", "" ], [ "Aguinaga", "Sal", "" ], [ "Murli", "Sathvik", "" ], [ "Nandakumar", "Dhruv", "" ], [ "R...
Ransomware presents a significant and increasing threat to individuals and organizations by encrypting their systems and not releasing them until a large fee has been extracted. To bolster preparedness against potential attacks, organizations commonly conduct red teaming exercises, which involve simulated attacks to as...
1611.03006
Emiliano De Cristofaro
Emiliano De Cristofaro and Kaitai Liang and Yuruo Zhang
Privacy-Preserving Genetic Relatedness Test
A preliminary version of this paper appears in the Proceedings of the 3rd International Workshop on Genome Privacy and Security (GenoPri'16)
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An increasing number of individuals are turning to Direct-To-Consumer (DTC) genetic testing to learn about their predisposition to diseases, traits, and/or ancestry. DTC companies like 23andme and Ancestry.com have started to offer popular and affordable ancestry and genealogy tests, with services allowing users to f...
[ { "created": "Wed, 9 Nov 2016 16:37:28 GMT", "version": "v1" }, { "created": "Thu, 10 Nov 2016 02:09:48 GMT", "version": "v2" } ]
2016-11-11
[ [ "De Cristofaro", "Emiliano", "" ], [ "Liang", "Kaitai", "" ], [ "Zhang", "Yuruo", "" ] ]
An increasing number of individuals are turning to Direct-To-Consumer (DTC) genetic testing to learn about their predisposition to diseases, traits, and/or ancestry. DTC companies like 23andme and Ancestry.com have started to offer popular and affordable ancestry and genealogy tests, with services allowing users to fin...
2312.07144
Iyad Kanj
Eduard Eiben, Robert Ganian, Iyad Kanj
The Parameterized Complexity of Coordinated Motion Planning
Short version appeared in SoCG 2023
null
null
null
cs.DS cs.AI cs.CG
http://creativecommons.org/licenses/by/4.0/
In Coordinated Motion Planning (CMP), we are given a rectangular-grid on which $k$ robots occupy $k$ distinct starting gridpoints and need to reach $k$ distinct destination gridpoints. In each time step, any robot may move to a neighboring gridpoint or stay in its current gridpoint, provided that it does not collide ...
[ { "created": "Tue, 12 Dec 2023 10:26:01 GMT", "version": "v1" }, { "created": "Sat, 16 Dec 2023 22:16:55 GMT", "version": "v2" } ]
2023-12-19
[ [ "Eiben", "Eduard", "" ], [ "Ganian", "Robert", "" ], [ "Kanj", "Iyad", "" ] ]
In Coordinated Motion Planning (CMP), we are given a rectangular-grid on which $k$ robots occupy $k$ distinct starting gridpoints and need to reach $k$ distinct destination gridpoints. In each time step, any robot may move to a neighboring gridpoint or stay in its current gridpoint, provided that it does not collide wi...
1710.06146
Kostadin Kratchanov
Kostadin Kratchanov
Cinnamons: A Computation Model Underlying Control Network Programming
7th Intl Conf. on Computer Science, Engineering & Applications (ICCSEA 2017) September 23~24, 2017, Copenhagen, Denmark
null
10.5121/csit.2017.71101
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We give the easily recognizable name "cinnamon" and "cinnamon programming" to a new computation model intended to form a theoretical foundation for Control Network Programming (CNP). CNP has established itself as a programming paradigm combining declarative and imperative features, built-in search engine, powerful to...
[ { "created": "Tue, 17 Oct 2017 08:13:10 GMT", "version": "v1" } ]
2017-10-18
[ [ "Kratchanov", "Kostadin", "" ] ]
We give the easily recognizable name "cinnamon" and "cinnamon programming" to a new computation model intended to form a theoretical foundation for Control Network Programming (CNP). CNP has established itself as a programming paradigm combining declarative and imperative features, built-in search engine, powerful tool...
cs/9301101
null
Lawrence C. Paulson
Verifying the Unification Algorithm in LCF
null
Science of Computer Programming 5 (1985), 143-170
null
null
cs.LO
null
Manna and Waldinger's theory of substitutions and unification has been verified using the Cambridge LCF theorem prover. A proof of the monotonicity of substitution is presented in detail, as an example of interaction with LCF. Translating the theory into LCF's domain-theoretic logic is largely straightforward. Well-f...
[ { "created": "Fri, 29 Sep 2000 00:00:00 GMT", "version": "v1" } ]
2008-02-03
[ [ "Paulson", "Lawrence C.", "" ] ]
Manna and Waldinger's theory of substitutions and unification has been verified using the Cambridge LCF theorem prover. A proof of the monotonicity of substitution is presented in detail, as an example of interaction with LCF. Translating the theory into LCF's domain-theoretic logic is largely straightforward. Well-fou...
2301.03966
Vishesh Mistry
Debayan Deb, Vishesh Mistry, Rahul Parthe
AdvBiom: Adversarial Attacks on Biometric Matchers
arXiv admin note: text overlap with arXiv:1908.05008
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the advent of deep learning models, face recognition systems have achieved impressive recognition rates. The workhorses behind this success are Convolutional Neural Networks (CNNs) and the availability of large training datasets. However, we show that small human-imperceptible changes to face samples can evade m...
[ { "created": "Tue, 10 Jan 2023 14:01:11 GMT", "version": "v1" } ]
2023-01-11
[ [ "Deb", "Debayan", "" ], [ "Mistry", "Vishesh", "" ], [ "Parthe", "Rahul", "" ] ]
With the advent of deep learning models, face recognition systems have achieved impressive recognition rates. The workhorses behind this success are Convolutional Neural Networks (CNNs) and the availability of large training datasets. However, we show that small human-imperceptible changes to face samples can evade mos...
2203.03201
Salman Bari
Salman Bari, Volker Gabler and Dirk Wollherr
MS2MP: A Min-Sum Message Passing Algorithm for Motion Planning
null
null
10.1109/ICRA48506.2021.9561533
null
cs.RO
http://creativecommons.org/licenses/by-nc-sa/4.0/
Gaussian Process (GP) formulation of continuoustime trajectory offers a fast solution to the motion planning problem via probabilistic inference on factor graph. However, often the solution converges to in-feasible local minima and the planned trajectory is not collision-free. We propose a message passing algorithm t...
[ { "created": "Mon, 7 Mar 2022 08:24:20 GMT", "version": "v1" } ]
2022-03-08
[ [ "Bari", "Salman", "" ], [ "Gabler", "Volker", "" ], [ "Wollherr", "Dirk", "" ] ]
Gaussian Process (GP) formulation of continuoustime trajectory offers a fast solution to the motion planning problem via probabilistic inference on factor graph. However, often the solution converges to in-feasible local minima and the planned trajectory is not collision-free. We propose a message passing algorithm tha...
2205.08989
Ryan Feng
Ryan Feng, Somesh Jha, Atul Prakash
Constraining the Attack Space of Machine Learning Models with Distribution Clamping Preprocessing
null
null
null
null
cs.LG cs.CR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Preprocessing and outlier detection techniques have both been applied to neural networks to increase robustness with varying degrees of success. In this paper, we formalize the ideal preprocessor function as one that would take any input and set it to the nearest in-distribution input. In other words, we detect any a...
[ { "created": "Wed, 18 May 2022 15:20:18 GMT", "version": "v1" } ]
2022-05-19
[ [ "Feng", "Ryan", "" ], [ "Jha", "Somesh", "" ], [ "Prakash", "Atul", "" ] ]
Preprocessing and outlier detection techniques have both been applied to neural networks to increase robustness with varying degrees of success. In this paper, we formalize the ideal preprocessor function as one that would take any input and set it to the nearest in-distribution input. In other words, we detect any ano...
2201.08896
Izzeddin Gur
Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust
Environment Generation for Zero-Shot Compositional Reinforcement Learning
Published in NeurIPS 2021
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many real-world problems are compositional - solving them requires completing interdependent sub-tasks, either in series or in parallel, that can be represented as a dependency graph. Deep reinforcement learning (RL) agents often struggle to learn such complex tasks due to the long time horizons and sparse rewards. T...
[ { "created": "Fri, 21 Jan 2022 21:35:01 GMT", "version": "v1" } ]
2022-01-25
[ [ "Gur", "Izzeddin", "" ], [ "Jaques", "Natasha", "" ], [ "Miao", "Yingjie", "" ], [ "Choi", "Jongwook", "" ], [ "Tiwari", "Manoj", "" ], [ "Lee", "Honglak", "" ], [ "Faust", "Aleksandra", "" ] ]
Many real-world problems are compositional - solving them requires completing interdependent sub-tasks, either in series or in parallel, that can be represented as a dependency graph. Deep reinforcement learning (RL) agents often struggle to learn such complex tasks due to the long time horizons and sparse rewards. To ...
1911.12984
Alessio Cardillo
Mariana Macedo, Laura Lotero, Alessio Cardillo, Hugo Barbosa, Ronaldo Menezes
Gender Patterns of Human Mobility in Colombia: Reexamining Ravenstein's Laws of Migration
12 pages, 6 figures. Comments are welcome
Proceedings of the conference "Complex Networks XI", pp. 269-281, Springer Proceedings in Complexity (2020)
10.1007/978-3-030-40943-2_23
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Public stakeholders implement several policies and regulations to tackle gender gaps, fostering the change in the cultural constructs associated with gender. One way to quantify if such changes elicit gender equality is by studying mobility. In this work, we study the daily mobility patterns of women and men occurrin...
[ { "created": "Fri, 29 Nov 2019 07:26:22 GMT", "version": "v1" } ]
2020-02-27
[ [ "Macedo", "Mariana", "" ], [ "Lotero", "Laura", "" ], [ "Cardillo", "Alessio", "" ], [ "Barbosa", "Hugo", "" ], [ "Menezes", "Ronaldo", "" ] ]
Public stakeholders implement several policies and regulations to tackle gender gaps, fostering the change in the cultural constructs associated with gender. One way to quantify if such changes elicit gender equality is by studying mobility. In this work, we study the daily mobility patterns of women and men occurring ...
2405.03728
Xiaobin Li
Xiaobin Li, Kai Wu, Yujian Betterest Li, Xiaoyu Zhang, Handing Wang, Jing Liu
GLHF: General Learned Evolutionary Algorithm Via Hyper Functions
null
null
null
null
cs.NE cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pretrained Optimization Models (POMs) leverage knowledge gained from optimizing various tasks, providing efficient solutions for new optimization challenges through direct usage or fine-tuning. Despite the inefficiencies and limited generalization abilities observed in current POMs, our proposed model, the general pr...
[ { "created": "Mon, 6 May 2024 09:11:49 GMT", "version": "v1" } ]
2024-05-08
[ [ "Li", "Xiaobin", "" ], [ "Wu", "Kai", "" ], [ "Li", "Yujian Betterest", "" ], [ "Zhang", "Xiaoyu", "" ], [ "Wang", "Handing", "" ], [ "Liu", "Jing", "" ] ]
Pretrained Optimization Models (POMs) leverage knowledge gained from optimizing various tasks, providing efficient solutions for new optimization challenges through direct usage or fine-tuning. Despite the inefficiencies and limited generalization abilities observed in current POMs, our proposed model, the general pre-...
2306.13995
Rohitash Chandra
Chaarvi Bansal, Rohitash Chandra, Vinti Agarwal, P. R. Deepa
A clustering and graph deep learning-based framework for COVID-19 drug repurposing
null
null
null
null
cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Drug repurposing (or repositioning) is the process of finding new therapeutic uses for drugs already approved by drug regulatory authorities (e.g., the Food and Drug Administration (FDA) and Therapeutic Goods Administration (TGA)) for other diseases. This involves analyzing the interactions between different biologic...
[ { "created": "Sat, 24 Jun 2023 15:00:47 GMT", "version": "v1" } ]
2023-06-27
[ [ "Bansal", "Chaarvi", "" ], [ "Chandra", "Rohitash", "" ], [ "Agarwal", "Vinti", "" ], [ "Deepa", "P. R.", "" ] ]
Drug repurposing (or repositioning) is the process of finding new therapeutic uses for drugs already approved by drug regulatory authorities (e.g., the Food and Drug Administration (FDA) and Therapeutic Goods Administration (TGA)) for other diseases. This involves analyzing the interactions between different biological...
2208.00332
Maleknaz Nayebi
Sk Golam Saroar, Waseefa Ahmed, Maleknaz Nayebi
GitHub Marketplace for Practitioners and Researchers to Date: A Systematic Analysis of the Knowledge Mobilization Gap in Open Source Software Automation
The paper is under review in a journal
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Marketplaces for distributing software products and services have been getting increasing popularity. GitHub, which is most known for its version control functionality through Git, launched its own marketplace in 2017. GitHub Marketplace hosts third party apps and actions to automate workflows in software teams. Curr...
[ { "created": "Sun, 31 Jul 2022 01:48:19 GMT", "version": "v1" } ]
2022-08-02
[ [ "Saroar", "Sk Golam", "" ], [ "Ahmed", "Waseefa", "" ], [ "Nayebi", "Maleknaz", "" ] ]
Marketplaces for distributing software products and services have been getting increasing popularity. GitHub, which is most known for its version control functionality through Git, launched its own marketplace in 2017. GitHub Marketplace hosts third party apps and actions to automate workflows in software teams. Curren...
2405.13755
Nneka Okolo
Gergely Neu, Nneka Okolo
Offline RL via Feature-Occupancy Gradient Ascent
26 pages
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study offline Reinforcement Learning in large infinite-horizon discounted Markov Decision Processes (MDPs) when the reward and transition models are linearly realizable under a known feature map. Starting from the classic linear-program formulation of the optimal control problem in MDPs, we develop a new algorithm...
[ { "created": "Wed, 22 May 2024 15:39:05 GMT", "version": "v1" } ]
2024-05-24
[ [ "Neu", "Gergely", "" ], [ "Okolo", "Nneka", "" ] ]
We study offline Reinforcement Learning in large infinite-horizon discounted Markov Decision Processes (MDPs) when the reward and transition models are linearly realizable under a known feature map. Starting from the classic linear-program formulation of the optimal control problem in MDPs, we develop a new algorithm t...
2111.13171
Tolga Birdal
Tolga Birdal, Aaron Lou, Leonidas Guibas, Umut \c{S}im\c{s}ekli
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
Appears at NeurIPS 2021
null
null
null
cs.LG cs.AI cs.CV math.GN stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Disobeying the classical wisdom of statistical learning theory, modern deep neural networks generalize well even though they typically contain millions of parameters. Recently, it has been shown that the trajectories of iterative optimization algorithms can possess fractal structures, and their generalization error c...
[ { "created": "Thu, 25 Nov 2021 17:06:15 GMT", "version": "v1" } ]
2021-11-29
[ [ "Birdal", "Tolga", "" ], [ "Lou", "Aaron", "" ], [ "Guibas", "Leonidas", "" ], [ "Şimşekli", "Umut", "" ] ]
Disobeying the classical wisdom of statistical learning theory, modern deep neural networks generalize well even though they typically contain millions of parameters. Recently, it has been shown that the trajectories of iterative optimization algorithms can possess fractal structures, and their generalization error can...
1811.08047
Chunhui Guo
Chunhui Guo, Hao Wu, Xiayu Hua, Shangping Ren, Jerzy Nogiec
Optimizing System Quality of Service through Rejuvenation for Long-Running Applications with Real-Time Constraints
null
null
null
null
cs.SE cs.DC cs.PF cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reliability, longevity, availability, and deadline guarantees are the four most important metrics to measure the QoS of long-running safety-critical real-time applications. Software aging is one of the major factors that impact the safety of long-running real-time applications as the degraded performance and increase...
[ { "created": "Tue, 20 Nov 2018 02:51:50 GMT", "version": "v1" } ]
2018-11-21
[ [ "Guo", "Chunhui", "" ], [ "Wu", "Hao", "" ], [ "Hua", "Xiayu", "" ], [ "Ren", "Shangping", "" ], [ "Nogiec", "Jerzy", "" ] ]
Reliability, longevity, availability, and deadline guarantees are the four most important metrics to measure the QoS of long-running safety-critical real-time applications. Software aging is one of the major factors that impact the safety of long-running real-time applications as the degraded performance and increased ...
2303.12224
Noam Buckman
Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin Hasani, Sertac Karaman, Daniela Rus
Infrastructure-based End-to-End Learning and Prevention of Driver Failure
8 pages. Accepted to ICRA 2023
null
10.1109/ICRA48891.2023.10161536
null
cs.RO cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Intelligent intersection managers can improve safety by detecting dangerous drivers or failure modes in autonomous vehicles, warning oncoming vehicles as they approach an intersection. In this work, we present FailureNet, a recurrent neural network trained end-to-end on trajectories of both nominal and reckless drive...
[ { "created": "Tue, 21 Mar 2023 22:55:51 GMT", "version": "v1" } ]
2023-10-02
[ [ "Buckman", "Noam", "" ], [ "Sreeram", "Shiva", "" ], [ "Lechner", "Mathias", "" ], [ "Ban", "Yutong", "" ], [ "Hasani", "Ramin", "" ], [ "Karaman", "Sertac", "" ], [ "Rus", "Daniela", "" ] ]
Intelligent intersection managers can improve safety by detecting dangerous drivers or failure modes in autonomous vehicles, warning oncoming vehicles as they approach an intersection. In this work, we present FailureNet, a recurrent neural network trained end-to-end on trajectories of both nominal and reckless drivers...
1704.08526
Kiran Gupta A
Naveen S Naik, Kiran A Gupta
An Efficient Reconfigurable FIR Digital Filter Using Modified Distribute Arithmetic Technique
5 pages,4 figures, journal 2015
null
null
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper provides modified Distributed Arithmetic based technique to compute sum of products saving appreciable number of Multiply And accumulation blocks and this consecutively reduces circuit size. In this technique multiplexer based structure is used to reuse the blocks so as to reduce the required memory locati...
[ { "created": "Thu, 27 Apr 2017 12:07:52 GMT", "version": "v1" } ]
2017-04-28
[ [ "Naik", "Naveen S", "" ], [ "Gupta", "Kiran A", "" ] ]
This paper provides modified Distributed Arithmetic based technique to compute sum of products saving appreciable number of Multiply And accumulation blocks and this consecutively reduces circuit size. In this technique multiplexer based structure is used to reuse the blocks so as to reduce the required memory location...
1907.06768
Mohammad Hasanzadeh Mofrad
Mohammad Hasanzadeh Mofrad, Rami Melhem, Mohammad Hammoud
Partitioning Graphs for the Cloud using Reinforcement Learning
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose Revolver, a parallel graph partitioning algorithm capable of partitioning large-scale graphs on a single shared-memory machine. Revolver employs an asynchronous processing framework, which leverages reinforcement learning and label propagation to adaptively partition a graph. In addition, it...
[ { "created": "Mon, 15 Jul 2019 21:50:56 GMT", "version": "v1" }, { "created": "Wed, 17 Jul 2019 16:16:28 GMT", "version": "v2" } ]
2019-07-18
[ [ "Mofrad", "Mohammad Hasanzadeh", "" ], [ "Melhem", "Rami", "" ], [ "Hammoud", "Mohammad", "" ] ]
In this paper, we propose Revolver, a parallel graph partitioning algorithm capable of partitioning large-scale graphs on a single shared-memory machine. Revolver employs an asynchronous processing framework, which leverages reinforcement learning and label propagation to adaptively partition a graph. In addition, it a...
2207.03398
Davis Wertheimer
Davis Wertheimer, Luming Tang, and Bharath Hariharan
Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners
null
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Few-shot recognition involves training an image classifier to distinguish novel concepts at test time using few examples (shot). Existing approaches generally assume that the shot number at test time is known in advance. This is not realistic, and the performance of a popular and foundational method has been shown to...
[ { "created": "Thu, 7 Jul 2022 16:05:28 GMT", "version": "v1" } ]
2022-07-08
[ [ "Wertheimer", "Davis", "" ], [ "Tang", "Luming", "" ], [ "Hariharan", "Bharath", "" ] ]
Few-shot recognition involves training an image classifier to distinguish novel concepts at test time using few examples (shot). Existing approaches generally assume that the shot number at test time is known in advance. This is not realistic, and the performance of a popular and foundational method has been shown to s...
2102.08707
Mohammad Dehghani Soltani
Mohammad Dehghani Soltani, Elham Sarbazi, Nikolaos Bamiedakis, Priyanka de Souza, Hossein Kazemi, Jaafar M. H. Elmirghani, Ian H. White, Richard V. Penty, Harald Haas and Majid Safari
Safety Analysis for Laser-based Optical Wireless Communications: A Tutorial
54 pages, 24 figures Submitted to IEEE journal
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Light amplification by stimulated emission of radiation (laser) sources have many advantages for use in high data rate optical wireless communications. In particular, the low cost and high-bandwidth properties of laser sources such as vertical-cavity surface-emitting lasers (VCSELs) make them attractive for future in...
[ { "created": "Wed, 17 Feb 2021 11:44:30 GMT", "version": "v1" }, { "created": "Tue, 20 Apr 2021 22:27:17 GMT", "version": "v2" }, { "created": "Wed, 5 May 2021 14:40:43 GMT", "version": "v3" } ]
2021-05-06
[ [ "Soltani", "Mohammad Dehghani", "" ], [ "Sarbazi", "Elham", "" ], [ "Bamiedakis", "Nikolaos", "" ], [ "de Souza", "Priyanka", "" ], [ "Kazemi", "Hossein", "" ], [ "Elmirghani", "Jaafar M. H.", "" ], [ "White", ...
Light amplification by stimulated emission of radiation (laser) sources have many advantages for use in high data rate optical wireless communications. In particular, the low cost and high-bandwidth properties of laser sources such as vertical-cavity surface-emitting lasers (VCSELs) make them attractive for future indo...
2406.00150
Yilin Zheng
Yilin Zheng, Atilla Eryilmaz
Non-Federated Multi-Task Split Learning for Heterogeneous Sources
null
null
null
null
cs.LG cs.DC
http://creativecommons.org/licenses/by/4.0/
With the development of edge networks and mobile computing, the need to serve heterogeneous data sources at the network edge requires the design of new distributed machine learning mechanisms. As a prevalent approach, Federated Learning (FL) employs parameter-sharing and gradient-averaging between clients and a serve...
[ { "created": "Fri, 31 May 2024 19:27:03 GMT", "version": "v1" } ]
2024-06-04
[ [ "Zheng", "Yilin", "" ], [ "Eryilmaz", "Atilla", "" ] ]
With the development of edge networks and mobile computing, the need to serve heterogeneous data sources at the network edge requires the design of new distributed machine learning mechanisms. As a prevalent approach, Federated Learning (FL) employs parameter-sharing and gradient-averaging between clients and a server....
1612.07548
Wendelin B\"ohmer
Wendelin B\"ohmer and Rong Guo and Klaus Obermayer
Non-Deterministic Policy Improvement Stabilizes Approximated Reinforcement Learning
This paper has been presented at the 13th European Workshop on Reinforcement Learning (EWRL 2016) on the 3rd and 4th of December 2016 in Barcelona, Spain
null
null
null
cs.AI cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates a type of instability that is linked to the greedy policy improvement in approximated reinforcement learning. We show empirically that non-deterministic policy improvement can stabilize methods like LSPI by controlling the improvements' stochasticity. Additionally we show that a suitable repre...
[ { "created": "Thu, 22 Dec 2016 11:30:35 GMT", "version": "v1" } ]
2016-12-23
[ [ "Böhmer", "Wendelin", "" ], [ "Guo", "Rong", "" ], [ "Obermayer", "Klaus", "" ] ]
This paper investigates a type of instability that is linked to the greedy policy improvement in approximated reinforcement learning. We show empirically that non-deterministic policy improvement can stabilize methods like LSPI by controlling the improvements' stochasticity. Additionally we show that a suitable represe...
2207.14545
Yanchen Li
Yanchen Li, Qingzhong Ai and Fumihiko Ino
A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs
Presented at IJCNN 2022, oral
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Recently, tile pruning has been widely studied to accelerate the inference of deep neural networks (DNNs). However, we found that the loss due to tile pruning, which can eliminate important elements together with unimportant elements, is large on trained DNNs. In this study, we propose a one-shot reparameterization m...
[ { "created": "Fri, 29 Jul 2022 08:27:15 GMT", "version": "v1" } ]
2022-08-01
[ [ "Li", "Yanchen", "" ], [ "Ai", "Qingzhong", "" ], [ "Ino", "Fumihiko", "" ] ]
Recently, tile pruning has been widely studied to accelerate the inference of deep neural networks (DNNs). However, we found that the loss due to tile pruning, which can eliminate important elements together with unimportant elements, is large on trained DNNs. In this study, we propose a one-shot reparameterization met...
2309.04656
Jan Vondrak
Shahar Dobzinski, Wenzheng Li, Aviad Rubinstein and Jan Vondrak
A constant factor approximation for Nash social welfare with subadditive valuations
null
null
null
null
cs.GT cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a constant-factor approximation algorithm for the Nash social welfare maximization problem with subadditive valuations accessible via demand queries. More generally, we propose a template for NSW optimization by solving a configuration-type LP and using a rounding procedure for (utilitarian) social welfare...
[ { "created": "Sat, 9 Sep 2023 01:31:14 GMT", "version": "v1" } ]
2023-09-12
[ [ "Dobzinski", "Shahar", "" ], [ "Li", "Wenzheng", "" ], [ "Rubinstein", "Aviad", "" ], [ "Vondrak", "Jan", "" ] ]
We present a constant-factor approximation algorithm for the Nash social welfare maximization problem with subadditive valuations accessible via demand queries. More generally, we propose a template for NSW optimization by solving a configuration-type LP and using a rounding procedure for (utilitarian) social welfare a...
2106.06617
Erik Nelson
Erik Nelson
Inexact Loops in Robotics Problems
Robotics: Science and Systems (RSS) 2021
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Loops are pervasive in robotics problems, appearing in mapping and localization, where one is interested in finding loop closure constraints to better approximate robot poses or other estimated quantities, as well as planning and prediction, where one is interested in the homotopy classes of the space through which a...
[ { "created": "Fri, 11 Jun 2021 21:33:26 GMT", "version": "v1" } ]
2021-06-15
[ [ "Nelson", "Erik", "" ] ]
Loops are pervasive in robotics problems, appearing in mapping and localization, where one is interested in finding loop closure constraints to better approximate robot poses or other estimated quantities, as well as planning and prediction, where one is interested in the homotopy classes of the space through which a r...
2107.11792
Haide Wang
Haide Wang, Ji Zhou, Jinlong Wei, Dong Guo, Yuanhua Feng, Weiping Liu, Changyuan Yu, Dawei Wang, and Zhaohui Li
Multi-Rate Nyquist-SCM for C-Band 100Gbit/s Signal over 50km Dispersion-Uncompensated Link
This paper has been accepted by Journal of Lightwave Techonlogy
null
10.1109/JLT.2021.3131603
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by/4.0/
In this paper, to the best of our knowledge, we propose the first multi-rate Nyquist-subcarriers modulation (SCM) for C-band 100Gbit/s signal transmission over 50km dispersion-uncompensated link. Chromatic dispersion (CD) introduces severe spectral nulls on optical double-sideband signal, which greatly degrades the p...
[ { "created": "Sun, 25 Jul 2021 12:22:09 GMT", "version": "v1" }, { "created": "Sun, 28 Nov 2021 08:03:03 GMT", "version": "v2" } ]
2022-04-06
[ [ "Wang", "Haide", "" ], [ "Zhou", "Ji", "" ], [ "Wei", "Jinlong", "" ], [ "Guo", "Dong", "" ], [ "Feng", "Yuanhua", "" ], [ "Liu", "Weiping", "" ], [ "Yu", "Changyuan", "" ], [ "Wang", "Dawei", ...
In this paper, to the best of our knowledge, we propose the first multi-rate Nyquist-subcarriers modulation (SCM) for C-band 100Gbit/s signal transmission over 50km dispersion-uncompensated link. Chromatic dispersion (CD) introduces severe spectral nulls on optical double-sideband signal, which greatly degrades the per...
2005.01777
Ngoc Thang Vu
Chia-Yu Li, Daniel Ortega, Dirk V\"ath, Florian Lux, Lindsey Vanderlyn, Maximilian Schmidt, Michael Neumann, Moritz V\"olkel, Pavel Denisov, Sabrina Jenne, Zorica Kacarevic and Ngoc Thang Vu
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents
All authors contributed equally. Accepted to be presented at ACL - System demonstrations - 2020
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present ADVISER - an open-source, multi-domain dialog system toolkit that enables the development of multi-modal (incorporating speech, text and vision), socially-engaged (e.g. emotion recognition, engagement level prediction and backchanneling) conversational agents. The final Python-based implementation of our t...
[ { "created": "Mon, 4 May 2020 18:27:58 GMT", "version": "v1" } ]
2020-05-06
[ [ "Li", "Chia-Yu", "" ], [ "Ortega", "Daniel", "" ], [ "Väth", "Dirk", "" ], [ "Lux", "Florian", "" ], [ "Vanderlyn", "Lindsey", "" ], [ "Schmidt", "Maximilian", "" ], [ "Neumann", "Michael", "" ], [ ...
We present ADVISER - an open-source, multi-domain dialog system toolkit that enables the development of multi-modal (incorporating speech, text and vision), socially-engaged (e.g. emotion recognition, engagement level prediction and backchanneling) conversational agents. The final Python-based implementation of our too...
2306.01891
Abanob Soliman
Abanob Soliman, Fabien Bonardi, D\'esir\'e Sidib\'e, Samia Bouchafa
DH-PTAM: A Deep Hybrid Stereo Events-Frames Parallel Tracking And Mapping System
Accepted for publication in the IEEE Transactions on Intelligent Vehicles
Vol.0, 2024
10.1109/TIV.2024.3412595
null
cs.CV cs.RO eess.IV eess.SP
http://creativecommons.org/licenses/by/4.0/
This paper presents a robust approach for a visual parallel tracking and mapping (PTAM) system that excels in challenging environments. Our proposed method combines the strengths of heterogeneous multi-modal visual sensors, including stereo event-based and frame-based sensors, in a unified reference frame through a n...
[ { "created": "Fri, 2 Jun 2023 19:52:13 GMT", "version": "v1" }, { "created": "Wed, 23 Aug 2023 21:29:03 GMT", "version": "v2" }, { "created": "Sun, 9 Jun 2024 13:56:51 GMT", "version": "v3" } ]
2024-06-11
[ [ "Soliman", "Abanob", "" ], [ "Bonardi", "Fabien", "" ], [ "Sidibé", "Désiré", "" ], [ "Bouchafa", "Samia", "" ] ]
This paper presents a robust approach for a visual parallel tracking and mapping (PTAM) system that excels in challenging environments. Our proposed method combines the strengths of heterogeneous multi-modal visual sensors, including stereo event-based and frame-based sensors, in a unified reference frame through a nov...
2101.07927
Yuanhao Gong
Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu
A Discrete Scheme for Computing Image's Weighted Gaussian Curvature
null
null
null
null
cs.CV eess.IV eess.SP math.DG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Weighted Gaussian Curvature is an important measurement for images. However, its conventional computation scheme has low performance, low accuracy and requires that the input image must be second order differentiable. To tackle these three issues, we propose a novel discrete computation scheme for the weighted Gaussi...
[ { "created": "Wed, 20 Jan 2021 02:15:51 GMT", "version": "v1" } ]
2021-01-21
[ [ "Gong", "Yuanhao", "" ], [ "Tang", "Wenming", "" ], [ "Zhou", "Lebin", "" ], [ "Yu", "Lantao", "" ], [ "Qiu", "Guoping", "" ] ]
Weighted Gaussian Curvature is an important measurement for images. However, its conventional computation scheme has low performance, low accuracy and requires that the input image must be second order differentiable. To tackle these three issues, we propose a novel discrete computation scheme for the weighted Gaussian...
2105.08597
Mohammed Ibrahim
Mohammed Ibrahim, Susan Gauch, Tyler Gerth, Brandon Cox
WOVe: Incorporating Word Order in GloVe Word Embeddings
null
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Word vector representations open up new opportunities to extract useful information from unstructured text. Defining a word as a vector made it easy for the machine learning algorithms to understand a text and extract information from. Word vector representations have been used in many applications such word synonyms...
[ { "created": "Tue, 18 May 2021 15:28:20 GMT", "version": "v1" } ]
2021-05-19
[ [ "Ibrahim", "Mohammed", "" ], [ "Gauch", "Susan", "" ], [ "Gerth", "Tyler", "" ], [ "Cox", "Brandon", "" ] ]
Word vector representations open up new opportunities to extract useful information from unstructured text. Defining a word as a vector made it easy for the machine learning algorithms to understand a text and extract information from. Word vector representations have been used in many applications such word synonyms, ...
1910.10176
Rene Haberland
Ren\'e Haberland
Review of Recent Heap Specification and Verification Techniques
fully translated preprint (English); final journal paper 26 pages (in Russian)
Computer Tools in Education Journal, ISSN 2071-2359, ISSN 2071-2340
10.32603/2071-2340-2019-2-5-30
null
cs.LO cs.SC
http://creativecommons.org/licenses/by-nc-sa/4.0/
The article provides an overview of the existing methods of dynamic memory verification; a comparative analysis is carried out; the applicability for solving problems of control, monitoring, and verification of dynamic memory is evaluated. This article is divided into eight sections. The first section introduces form...
[ { "created": "Tue, 22 Oct 2019 18:01:33 GMT", "version": "v1" }, { "created": "Thu, 24 Mar 2022 11:43:05 GMT", "version": "v2" } ]
2022-03-25
[ [ "Haberland", "René", "" ] ]
The article provides an overview of the existing methods of dynamic memory verification; a comparative analysis is carried out; the applicability for solving problems of control, monitoring, and verification of dynamic memory is evaluated. This article is divided into eight sections. The first section introduces formal...
1303.1517
Pei Wang
Pei Wang
Belief Revision in Probability Theory
Appears in Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence (UAI1993)
null
null
UAI-P-1993-PG-519-526
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a probability-based reasoning system, Bayes' theorem and its variations are often used to revise the system's beliefs. However, if the explicit conditions and the implicit conditions of probability assignments `me properly distinguished, it follows that Bayes' theorem is not a generally applicable revision rule. U...
[ { "created": "Wed, 6 Mar 2013 14:24:24 GMT", "version": "v1" } ]
2013-03-08
[ [ "Wang", "Pei", "" ] ]
In a probability-based reasoning system, Bayes' theorem and its variations are often used to revise the system's beliefs. However, if the explicit conditions and the implicit conditions of probability assignments `me properly distinguished, it follows that Bayes' theorem is not a generally applicable revision rule. Upo...
1910.04493
Kevin Gomez
Kevin Gomez, Matthias T\"aschner, M. Ali Rostami, Christopher Rost, Erhard Rahm
Graph Sampling with Distributed In-Memory Dataflow Systems
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given a large graph, a graph sample determines a subgraph with similar characteristics for certain metrics of the original graph. The samples are much smaller thereby accelerating and simplifying the analysis and visualization of large graphs. We focus on the implementation of distributed graph sampling for Big Data ...
[ { "created": "Thu, 10 Oct 2019 11:44:59 GMT", "version": "v1" } ]
2019-10-11
[ [ "Gomez", "Kevin", "" ], [ "Täschner", "Matthias", "" ], [ "Rostami", "M. Ali", "" ], [ "Rost", "Christopher", "" ], [ "Rahm", "Erhard", "" ] ]
Given a large graph, a graph sample determines a subgraph with similar characteristics for certain metrics of the original graph. The samples are much smaller thereby accelerating and simplifying the analysis and visualization of large graphs. We focus on the implementation of distributed graph sampling for Big Data fr...
1909.11285
Ze Wang
Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, and Qiang Qiu
A Dictionary Approach to Domain-Invariant Learning in Deep Networks
null
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider domain-invariant deep learning by explicitly modeling domain shifts with only a small amount of domain-specific parameters in a Convolutional Neural Network (CNN). By exploiting the observation that a convolutional filter can be well approximated as a linear combination of a small set of di...
[ { "created": "Wed, 25 Sep 2019 04:35:04 GMT", "version": "v1" }, { "created": "Mon, 28 Sep 2020 23:31:44 GMT", "version": "v2" } ]
2020-09-30
[ [ "Wang", "Ze", "" ], [ "Cheng", "Xiuyuan", "" ], [ "Sapiro", "Guillermo", "" ], [ "Qiu", "Qiang", "" ] ]
In this paper, we consider domain-invariant deep learning by explicitly modeling domain shifts with only a small amount of domain-specific parameters in a Convolutional Neural Network (CNN). By exploiting the observation that a convolutional filter can be well approximated as a linear combination of a small set of dict...
2202.10824
Yuyu Guo
Yuyu Guo, Jingkuan Song, Lianli Gao, Heng Tao Shen
One-shot Scene Graph Generation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As a structured representation of the image content, the visual scene graph (visual relationship) acts as a bridge between computer vision and natural language processing. Existing models on the scene graph generation task notoriously require tens or hundreds of labeled samples. By contrast, human beings can learn vi...
[ { "created": "Tue, 22 Feb 2022 11:32:59 GMT", "version": "v1" }, { "created": "Sat, 26 Feb 2022 03:01:37 GMT", "version": "v2" } ]
2022-03-01
[ [ "Guo", "Yuyu", "" ], [ "Song", "Jingkuan", "" ], [ "Gao", "Lianli", "" ], [ "Shen", "Heng Tao", "" ] ]
As a structured representation of the image content, the visual scene graph (visual relationship) acts as a bridge between computer vision and natural language processing. Existing models on the scene graph generation task notoriously require tens or hundreds of labeled samples. By contrast, human beings can learn visu...
2006.10241
Aritra Guha
Aritra Guha, Rayleigh Lei, Jiacheng Zhu, XuanLong Nguyen and Ding Zhao
Robust Unsupervised Learning of Temporal Dynamic Interactions
null
null
null
null
cs.LG cs.MA cs.RO stat.AP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robust representation learning of temporal dynamic interactions is an important problem in robotic learning in general and automated unsupervised learning in particular. Temporal dynamic interactions can be described by (multiple) geometric trajectories in a suitable space over which unsupervised learning techniques ...
[ { "created": "Thu, 18 Jun 2020 02:39:45 GMT", "version": "v1" } ]
2020-06-19
[ [ "Guha", "Aritra", "" ], [ "Lei", "Rayleigh", "" ], [ "Zhu", "Jiacheng", "" ], [ "Nguyen", "XuanLong", "" ], [ "Zhao", "Ding", "" ] ]
Robust representation learning of temporal dynamic interactions is an important problem in robotic learning in general and automated unsupervised learning in particular. Temporal dynamic interactions can be described by (multiple) geometric trajectories in a suitable space over which unsupervised learning techniques ma...
0912.1015
Rdv Ijcsis
Mrs. J. P. Rothe, Dr. A. K. Wadhwani, Dr. Mrs. S. Wadhwani
Short Term Load Forecasting Using Multi Parameter Regression
4 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS November 2009, ISSN 1947 5500, http://sites.google.com/site/ijcsis/
International Journal of Computer Science and Information Security, IJCSIS, Vol. 6, No. 2, pp. 303-306, November 2009, USA
null
ISSN 1947 5500
cs.NE cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Short Term Load forecasting in this paper uses input data dependent on parameters such as load for current hour and previous two hours, temperature for current hour and previous two hours, wind for current hour and previous two hours, cloud for current hour and previous two hours. Forecasting will be of load demand f...
[ { "created": "Sat, 5 Dec 2009 13:18:35 GMT", "version": "v1" } ]
2009-12-08
[ [ "Rothe", "Mrs. J. P.", "" ], [ "Wadhwani", "Dr. A. K.", "" ], [ "Wadhwani", "Dr. Mrs. S.", "" ] ]
Short Term Load forecasting in this paper uses input data dependent on parameters such as load for current hour and previous two hours, temperature for current hour and previous two hours, wind for current hour and previous two hours, cloud for current hour and previous two hours. Forecasting will be of load demand for...
0803.1908
Massimiliano Laddomada Ph.D.
F. Daneshgaran, M. Laddomada, F. Mesiti, M. Mondin
On the Throughput Allocation for Proportional Fairness in Multirate IEEE 802.11 DCF under General Load Conditions
5 pages, 2 figures, submitted to IEEE Globecom 2008, March 2008
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a modified proportional fairness (PF) criterion suitable for mitigating the \textit{rate anomaly} problem of multirate IEEE 802.11 Wireless LANs employing the mandatory Distributed Coordination Function (DCF) option. Compared to the widely adopted assumption of saturated network, the proposed crit...
[ { "created": "Thu, 13 Mar 2008 06:48:50 GMT", "version": "v1" } ]
2008-12-18
[ [ "Daneshgaran", "F.", "" ], [ "Laddomada", "M.", "" ], [ "Mesiti", "F.", "" ], [ "Mondin", "M.", "" ] ]
This paper presents a modified proportional fairness (PF) criterion suitable for mitigating the \textit{rate anomaly} problem of multirate IEEE 802.11 Wireless LANs employing the mandatory Distributed Coordination Function (DCF) option. Compared to the widely adopted assumption of saturated network, the proposed criter...
2004.06871
Chien-Sheng Wu
Chien-Sheng Wu, Steven Hoi, Richard Socher, and Caiming Xiong
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue
EMNLP 2020 camera-ready
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The underlying difference of linguistic patterns between general text and task-oriented dialogue makes existing pre-trained language models less useful in practice. In this work, we unify nine human-human and multi-turn task-oriented dialogue datasets for language modeling. To better model dialogue behavior during pr...
[ { "created": "Wed, 15 Apr 2020 04:09:05 GMT", "version": "v1" }, { "created": "Wed, 29 Apr 2020 18:10:32 GMT", "version": "v2" }, { "created": "Thu, 1 Oct 2020 16:34:52 GMT", "version": "v3" } ]
2020-10-02
[ [ "Wu", "Chien-Sheng", "" ], [ "Hoi", "Steven", "" ], [ "Socher", "Richard", "" ], [ "Xiong", "Caiming", "" ] ]
The underlying difference of linguistic patterns between general text and task-oriented dialogue makes existing pre-trained language models less useful in practice. In this work, we unify nine human-human and multi-turn task-oriented dialogue datasets for language modeling. To better model dialogue behavior during pre-...
2404.04869
Yiqun Duan
Yiqun Duan, Qiang Zhang, Renjing Xu
Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs
null
Published as oral presentation paper atthe 2024 IEEE International Conference on Robotics and Automation (ICRA2024), Yokohama, Japan
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The utilization of Large Language Models (LLMs) within the realm of reinforcement learning, particularly as planners, has garnered a significant degree of attention in recent scholarly literature. However, a substantial proportion of existing research predominantly focuses on planning models for robotics that transmu...
[ { "created": "Sun, 7 Apr 2024 08:31:12 GMT", "version": "v1" }, { "created": "Mon, 29 Jul 2024 11:43:31 GMT", "version": "v2" } ]
2024-07-30
[ [ "Duan", "Yiqun", "" ], [ "Zhang", "Qiang", "" ], [ "Xu", "Renjing", "" ] ]
The utilization of Large Language Models (LLMs) within the realm of reinforcement learning, particularly as planners, has garnered a significant degree of attention in recent scholarly literature. However, a substantial proportion of existing research predominantly focuses on planning models for robotics that transmute...
1806.01357
Jian Ren
Jian Ren, Ilker Hacihaliloglu, Eric A. Singer, David J. Foran, Xin Qi
Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images
Accepted to MICCAI 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automatic and accurate Gleason grading of histopathology tissue slides is crucial for prostate cancer diagnosis, treatment, and prognosis. Usually, histopathology tissue slides from different institutions show heterogeneous appearances because of different tissue preparation and staining procedures, thus the predicta...
[ { "created": "Mon, 4 Jun 2018 20:01:09 GMT", "version": "v1" }, { "created": "Wed, 6 Jun 2018 23:49:17 GMT", "version": "v2" } ]
2018-06-08
[ [ "Ren", "Jian", "" ], [ "Hacihaliloglu", "Ilker", "" ], [ "Singer", "Eric A.", "" ], [ "Foran", "David J.", "" ], [ "Qi", "Xin", "" ] ]
Automatic and accurate Gleason grading of histopathology tissue slides is crucial for prostate cancer diagnosis, treatment, and prognosis. Usually, histopathology tissue slides from different institutions show heterogeneous appearances because of different tissue preparation and staining procedures, thus the predictabl...
2309.02672
Hanshen Xiao
Hanshen Xiao, Jun Wan and Srinivas Devadas
Geometry of Sensitivity: Twice Sampling and Hybrid Clipping in Differential Privacy with Optimal Gaussian Noise and Application to Deep Learning
null
ACM CCS 2023
null
null
cs.CR cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
We study the fundamental problem of the construction of optimal randomization in Differential Privacy. Depending on the clipping strategy or additional properties of the processing function, the corresponding sensitivity set theoretically determines the necessary randomization to produce the required security paramet...
[ { "created": "Wed, 6 Sep 2023 02:45:08 GMT", "version": "v1" }, { "created": "Thu, 28 Sep 2023 12:49:24 GMT", "version": "v2" } ]
2023-09-29
[ [ "Xiao", "Hanshen", "" ], [ "Wan", "Jun", "" ], [ "Devadas", "Srinivas", "" ] ]
We study the fundamental problem of the construction of optimal randomization in Differential Privacy. Depending on the clipping strategy or additional properties of the processing function, the corresponding sensitivity set theoretically determines the necessary randomization to produce the required security parameter...
2306.12107
Jose Ignacio Farran
Jos\'e Ignacio Farr\'an and David Cerezo
A new color image secret sharing protocol
6 pages, 5 figures, preprint
null
null
null
cs.CR cs.IT math.IT
http://creativecommons.org/licenses/by-nc-nd/4.0/
Visual cryptography aims to protect images against their possible illegitimate use. Thus, one can cipher, hash, or add watermarks for protecting copyright, among others. In this paper we provide a new solution to the problem of secret sharing for the case when the secret is an image. Our method combines the Shamir sc...
[ { "created": "Wed, 21 Jun 2023 08:47:31 GMT", "version": "v1" } ]
2023-06-22
[ [ "Farrán", "José Ignacio", "" ], [ "Cerezo", "David", "" ] ]
Visual cryptography aims to protect images against their possible illegitimate use. Thus, one can cipher, hash, or add watermarks for protecting copyright, among others. In this paper we provide a new solution to the problem of secret sharing for the case when the secret is an image. Our method combines the Shamir sche...
2402.05978
Rocio Alaiz-Rodriguez
M. T. Garc\'ia-Ord\'as, E. Alegre-Guti\'errez, V. Gonz\'alez-Castro, R. Alaiz-Rodr\'iguez
Combining shape and contour features to improve tool wear monitoring in milling processes
null
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
In this paper, a new system based on combinations of a shape descriptor and a contour descriptor has been proposed for classifying inserts in milling processes according to their wear level following a computer vision based approach. To describe the wear region shape we have proposed a new descriptor called ShapeFeat...
[ { "created": "Wed, 7 Feb 2024 22:27:16 GMT", "version": "v1" } ]
2024-02-12
[ [ "García-Ordás", "M. T.", "" ], [ "Alegre-Gutiérrez", "E.", "" ], [ "González-Castro", "V.", "" ], [ "Alaiz-Rodríguez", "R.", "" ] ]
In this paper, a new system based on combinations of a shape descriptor and a contour descriptor has been proposed for classifying inserts in milling processes according to their wear level following a computer vision based approach. To describe the wear region shape we have proposed a new descriptor called ShapeFeat a...
2202.03807
Maximilian Geisslinger
Alexander Wischnewski, Maximilian Geisslinger, Johannes Betz, Tobias Betz, Felix Fent, Alexander Heilmeier, Leonhard Hermansdorfer, Thomas Herrmann, Sebastian Huch, Phillip Karle, Felix Nobis, Levent \"Ogretmen, Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Markus Lienkamp, Boris Lohmann
Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits
null
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motorsport has always been an enabler for technological advancement, and the same applies to the autonomous driving industry. The team TUM Auton-omous Motorsports will participate in the Indy Autonomous Challenge in Octo-ber 2021 to benchmark its self-driving software-stack by racing one out of ten autonomous Dallara...
[ { "created": "Tue, 8 Feb 2022 11:55:05 GMT", "version": "v1" } ]
2022-02-09
[ [ "Wischnewski", "Alexander", "" ], [ "Geisslinger", "Maximilian", "" ], [ "Betz", "Johannes", "" ], [ "Betz", "Tobias", "" ], [ "Fent", "Felix", "" ], [ "Heilmeier", "Alexander", "" ], [ "Hermansdorfer", "Leonha...
Motorsport has always been an enabler for technological advancement, and the same applies to the autonomous driving industry. The team TUM Auton-omous Motorsports will participate in the Indy Autonomous Challenge in Octo-ber 2021 to benchmark its self-driving software-stack by racing one out of ten autonomous Dallara A...
2407.20856
Sarthak Anand
Sarthak Anand, Yutong Jiang, Giorgi Kokaia
Learn by Selling: Equipping Large Language Models with Product Knowledge for Context-Driven Recommendations
null
null
null
null
cs.IR cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
The rapid evolution of large language models (LLMs) has opened up new possibilities for applications such as context-driven product recommendations. However, the effectiveness of these models in this context is heavily reliant on their comprehensive understanding of the product inventory. This paper presents a novel ...
[ { "created": "Tue, 30 Jul 2024 14:31:53 GMT", "version": "v1" } ]
2024-07-31
[ [ "Anand", "Sarthak", "" ], [ "Jiang", "Yutong", "" ], [ "Kokaia", "Giorgi", "" ] ]
The rapid evolution of large language models (LLMs) has opened up new possibilities for applications such as context-driven product recommendations. However, the effectiveness of these models in this context is heavily reliant on their comprehensive understanding of the product inventory. This paper presents a novel ap...
2407.15660
Claudius Kienle
Claudius Kienle, Benjamin Alt, Onur Celik, Philipp Becker, Darko Katic, Rainer J\"akel and Gerhard Neumann
MuTT: A Multimodal Trajectory Transformer for Robot Skills
null
null
null
null
cs.RO cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
High-level robot skills represent an increasingly popular paradigm in robot programming. However, configuring the skills' parameters for a specific task remains a manual and time-consuming endeavor. Existing approaches for learning or optimizing these parameters often require numerous real-world executions or do not ...
[ { "created": "Mon, 22 Jul 2024 14:18:52 GMT", "version": "v1" } ]
2024-07-23
[ [ "Kienle", "Claudius", "" ], [ "Alt", "Benjamin", "" ], [ "Celik", "Onur", "" ], [ "Becker", "Philipp", "" ], [ "Katic", "Darko", "" ], [ "Jäkel", "Rainer", "" ], [ "Neumann", "Gerhard", "" ] ]
High-level robot skills represent an increasingly popular paradigm in robot programming. However, configuring the skills' parameters for a specific task remains a manual and time-consuming endeavor. Existing approaches for learning or optimizing these parameters often require numerous real-world executions or do not wo...
2306.12014
Nigel Fernandez
Sneha Singhania, Nigel Fernandez, Shrisha Rao
3HAN: A Deep Neural Network for Fake News Detection
Published as a conference paper at ICONIP 2017
null
10.1007/978-3-319-70096-0_59
null
cs.LG cs.CL cs.SI
http://creativecommons.org/licenses/by/4.0/
The rapid spread of fake news is a serious problem calling for AI solutions. We employ a deep learning based automated detector through a three level hierarchical attention network (3HAN) for fast, accurate detection of fake news. 3HAN has three levels, one each for words, sentences, and the headline, and constructs ...
[ { "created": "Wed, 21 Jun 2023 04:34:27 GMT", "version": "v1" } ]
2023-06-22
[ [ "Singhania", "Sneha", "" ], [ "Fernandez", "Nigel", "" ], [ "Rao", "Shrisha", "" ] ]
The rapid spread of fake news is a serious problem calling for AI solutions. We employ a deep learning based automated detector through a three level hierarchical attention network (3HAN) for fast, accurate detection of fake news. 3HAN has three levels, one each for words, sentences, and the headline, and constructs a ...
2407.10775
Marco Mussi
Alessandro Montenegro and Marco Mussi and Matteo Papini and Alberto Maria Metelli
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Constrained Reinforcement Learning (CRL) tackles sequential decision-making problems where agents are required to achieve goals by maximizing the expected return while meeting domain-specific constraints, which are often formulated as expected costs. In this setting, policy-based methods are widely used since they co...
[ { "created": "Mon, 15 Jul 2024 14:54:57 GMT", "version": "v1" } ]
2024-07-16
[ [ "Montenegro", "Alessandro", "" ], [ "Mussi", "Marco", "" ], [ "Papini", "Matteo", "" ], [ "Metelli", "Alberto Maria", "" ] ]
Constrained Reinforcement Learning (CRL) tackles sequential decision-making problems where agents are required to achieve goals by maximizing the expected return while meeting domain-specific constraints, which are often formulated as expected costs. In this setting, policy-based methods are widely used since they come...
1806.10447
Alexey Gruzdev
Sergey Zherzdev and Alexey Gruzdev
LPRNet: License Plate Recognition via Deep Neural Networks
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes LPRNet - end-to-end method for Automatic License Plate Recognition without preliminary character segmentation. Our approach is inspired by recent breakthroughs in Deep Neural Networks, and works in real-time with recognition accuracy up to 95% for Chinese license plates: 3 ms/plate on nVIDIA GeFor...
[ { "created": "Wed, 27 Jun 2018 12:57:17 GMT", "version": "v1" } ]
2018-06-28
[ [ "Zherzdev", "Sergey", "" ], [ "Gruzdev", "Alexey", "" ] ]
This paper proposes LPRNet - end-to-end method for Automatic License Plate Recognition without preliminary character segmentation. Our approach is inspired by recent breakthroughs in Deep Neural Networks, and works in real-time with recognition accuracy up to 95% for Chinese license plates: 3 ms/plate on nVIDIA GeForce...
2211.14646
Sriram Balasubramanian
Sriram Balasubramanian and Soheil Feizi
Towards Improved Input Masking for Convolutional Neural Networks
29 pages, 19 figures. Accepted at ICCV 2023
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
The ability to remove features from the input of machine learning models is very important to understand and interpret model predictions. However, this is non-trivial for vision models since masking out parts of the input image typically causes large distribution shifts. This is because the baseline color used for ma...
[ { "created": "Sat, 26 Nov 2022 19:31:49 GMT", "version": "v1" }, { "created": "Sun, 16 Jul 2023 05:40:44 GMT", "version": "v2" }, { "created": "Sun, 29 Oct 2023 22:11:33 GMT", "version": "v3" } ]
2023-10-31
[ [ "Balasubramanian", "Sriram", "" ], [ "Feizi", "Soheil", "" ] ]
The ability to remove features from the input of machine learning models is very important to understand and interpret model predictions. However, this is non-trivial for vision models since masking out parts of the input image typically causes large distribution shifts. This is because the baseline color used for mask...
2111.01364
Juncheng Liu Dr
Liu Juncheng, McCane Brendan, Mills Steven
Learning to Explore by Reinforcement over High-Level Options
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Autonomous 3D environment exploration is a fundamental task for various applications such as navigation. The goal of exploration is to investigate a new environment and build its occupancy map efficiently. In this paper, we propose a new method which grants an agent two intertwined options of behaviors: "look-around"...
[ { "created": "Tue, 2 Nov 2021 04:21:34 GMT", "version": "v1" } ]
2021-11-03
[ [ "Juncheng", "Liu", "" ], [ "Brendan", "McCane", "" ], [ "Steven", "Mills", "" ] ]
Autonomous 3D environment exploration is a fundamental task for various applications such as navigation. The goal of exploration is to investigate a new environment and build its occupancy map efficiently. In this paper, we propose a new method which grants an agent two intertwined options of behaviors: "look-around" a...
2210.03516
Felix Chalumeau
Felix Chalumeau, Raphael Boige, Bryan Lim, Valentin Mac\'e, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
Camera ready version for ICLR2023 (spotlight)
null
null
null
cs.NE cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Reinforcement Learning (RL) has emerged as a powerful paradigm for training neural policies to solve complex control tasks. However, these policies tend to be overfit to the exact specifications of the task and environment they were trained on, and thus do not perform well when conditions deviate slightly or whe...
[ { "created": "Thu, 6 Oct 2022 11:06:39 GMT", "version": "v1" }, { "created": "Fri, 31 Mar 2023 08:55:33 GMT", "version": "v2" }, { "created": "Thu, 15 Jun 2023 12:08:19 GMT", "version": "v3" }, { "created": "Fri, 8 Sep 2023 09:33:41 GMT", "version": "v4" } ]
2023-09-11
[ [ "Chalumeau", "Felix", "" ], [ "Boige", "Raphael", "" ], [ "Lim", "Bryan", "" ], [ "Macé", "Valentin", "" ], [ "Allard", "Maxime", "" ], [ "Flajolet", "Arthur", "" ], [ "Cully", "Antoine", "" ], [ "P...
Deep Reinforcement Learning (RL) has emerged as a powerful paradigm for training neural policies to solve complex control tasks. However, these policies tend to be overfit to the exact specifications of the task and environment they were trained on, and thus do not perform well when conditions deviate slightly or when ...
2111.08794
\.Inci M. Bayta\c{s}
Deniz Sezin Ayvaz and Inci M. Baytas
Investigating Conversion from Mild Cognitive Impairment to Alzheimer's Disease using Latent Space Manipulation
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Alzheimer's disease is the most common cause of dementia that affects millions of lives worldwide. Investigating the underlying causes and risk factors of Alzheimer's disease is essential to prevent its progression. Mild Cognitive Impairment (MCI) is considered an intermediate stage before Alzheimer's disease. Early ...
[ { "created": "Tue, 16 Nov 2021 21:48:09 GMT", "version": "v1" }, { "created": "Sun, 20 Aug 2023 19:40:45 GMT", "version": "v2" } ]
2023-08-22
[ [ "Ayvaz", "Deniz Sezin", "" ], [ "Baytas", "Inci M.", "" ] ]
Alzheimer's disease is the most common cause of dementia that affects millions of lives worldwide. Investigating the underlying causes and risk factors of Alzheimer's disease is essential to prevent its progression. Mild Cognitive Impairment (MCI) is considered an intermediate stage before Alzheimer's disease. Early pr...
1605.06245
Christophe Limbree LCh
Christophe Limbree and Quentin Cappart and Charles Pecheur and Stefano Tonetta
Verification of railway interlocking - Compositional approach with OCRA
16 pages
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the railway domain, an electronic interlocking is a computerised system that controls the railway signalling components (e.g. switches or signals) in order to allow a safe operation of the train traffic. Interlockings are controlled by a software logic that relies on a generic software and a set of application dat...
[ { "created": "Fri, 20 May 2016 08:46:43 GMT", "version": "v1" } ]
2016-05-23
[ [ "Limbree", "Christophe", "" ], [ "Cappart", "Quentin", "" ], [ "Pecheur", "Charles", "" ], [ "Tonetta", "Stefano", "" ] ]
In the railway domain, an electronic interlocking is a computerised system that controls the railway signalling components (e.g. switches or signals) in order to allow a safe operation of the train traffic. Interlockings are controlled by a software logic that relies on a generic software and a set of application data ...
2211.13203
Yuxin Zhang
Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu
Inversion-Based Style Transfer with Diffusion Models
accepted by CVPR 2023
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The artistic style within a painting is the means of expression, which includes not only the painting material, colors, and brushstrokes, but also the high-level attributes including semantic elements, object shapes, etc. Previous arbitrary example-guided artistic image generation methods often fail to control shape ...
[ { "created": "Wed, 23 Nov 2022 18:44:25 GMT", "version": "v1" }, { "created": "Thu, 9 Mar 2023 13:44:11 GMT", "version": "v2" }, { "created": "Mon, 20 Mar 2023 14:32:01 GMT", "version": "v3" } ]
2023-03-21
[ [ "Zhang", "Yuxin", "" ], [ "Huang", "Nisha", "" ], [ "Tang", "Fan", "" ], [ "Huang", "Haibin", "" ], [ "Ma", "Chongyang", "" ], [ "Dong", "Weiming", "" ], [ "Xu", "Changsheng", "" ] ]
The artistic style within a painting is the means of expression, which includes not only the painting material, colors, and brushstrokes, but also the high-level attributes including semantic elements, object shapes, etc. Previous arbitrary example-guided artistic image generation methods often fail to control shape ch...
2312.16415
Matthew Ding
Matthew Ding and Jason Li
Deterministic Minimum Steiner Cut in Maximum Flow Time
18 pages, 1 figure, to appear at ESA 2024
null
null
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We devise a deterministic algorithm for minimum Steiner cut, which uses $(\log n)^{O(1)}$ maximum flow calls and additional near-linear time. This algorithm improves on Li and Panigrahi's (FOCS 2020) algorithm, which uses $(\log n)^{O(1/\epsilon^4)}$ maximum flow calls and additional $O(m^{1+\epsilon})$ time, for $\e...
[ { "created": "Wed, 27 Dec 2023 05:27:22 GMT", "version": "v1" }, { "created": "Mon, 1 Jul 2024 21:22:13 GMT", "version": "v2" } ]
2024-07-03
[ [ "Ding", "Matthew", "" ], [ "Li", "Jason", "" ] ]
We devise a deterministic algorithm for minimum Steiner cut, which uses $(\log n)^{O(1)}$ maximum flow calls and additional near-linear time. This algorithm improves on Li and Panigrahi's (FOCS 2020) algorithm, which uses $(\log n)^{O(1/\epsilon^4)}$ maximum flow calls and additional $O(m^{1+\epsilon})$ time, for $\eps...
2009.03260
Tarun Kathuria
Tarun Kathuria
A Potential Reduction Inspired Algorithm for Exact Max Flow in Almost $\widetilde{O}(m^{4/3})$ Time
null
null
null
null
cs.DS math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an algorithm for computing $s$-$t$ maximum flows in directed graphs in $\widetilde{O}(m^{4/3+o(1)}U^{1/3})$ time. Our algorithm is inspired by potential reduction interior point methods for linear programming. Instead of using scaled gradient/Newton steps of a potential function, we take the step which max...
[ { "created": "Mon, 7 Sep 2020 17:31:24 GMT", "version": "v1" } ]
2020-09-08
[ [ "Kathuria", "Tarun", "" ] ]
We present an algorithm for computing $s$-$t$ maximum flows in directed graphs in $\widetilde{O}(m^{4/3+o(1)}U^{1/3})$ time. Our algorithm is inspired by potential reduction interior point methods for linear programming. Instead of using scaled gradient/Newton steps of a potential function, we take the step which maxim...
2109.14133
Sarkhan Badirli
Sarkhan Badirli, Zeynep Akata, George Mohler, Christine Picard, Murat Dundar
Fine-Grained Zero-Shot Learning with DNA as Side Information
Accepted to NeurIPS 2021
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Fine-grained zero-shot learning task requires some form of side-information to transfer discriminative information from seen to unseen classes. As manually annotated visual attributes are extremely costly and often impractical to obtain for a large number of classes, in this study we use DNA as side information for t...
[ { "created": "Wed, 29 Sep 2021 01:45:22 GMT", "version": "v1" } ]
2021-09-30
[ [ "Badirli", "Sarkhan", "" ], [ "Akata", "Zeynep", "" ], [ "Mohler", "George", "" ], [ "Picard", "Christine", "" ], [ "Dundar", "Murat", "" ] ]
Fine-grained zero-shot learning task requires some form of side-information to transfer discriminative information from seen to unseen classes. As manually annotated visual attributes are extremely costly and often impractical to obtain for a large number of classes, in this study we use DNA as side information for the...
2306.01798
David Woo
David James Woo, Kai Guo, Hengky Susanto
Exploring EFL students' prompt engineering in human-AI story writing: an Activity Theory perspective
44 pages, 9 figures
Interactive_Learning_Environments (2024) 1_20
10.1080/10494820.2024.2361381
null
cs.CY cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
This study applies Activity Theory to investigate how English as a foreign language (EFL) students prompt generative artificial intelligence (AI) tools during short story writing. Sixty-seven Hong Kong secondary school students created generative-AI tools using open-source language models and wrote short stories with...
[ { "created": "Thu, 1 Jun 2023 14:52:28 GMT", "version": "v1" }, { "created": "Sat, 10 Feb 2024 14:13:43 GMT", "version": "v2" } ]
2024-07-03
[ [ "Woo", "David James", "" ], [ "Guo", "Kai", "" ], [ "Susanto", "Hengky", "" ] ]
This study applies Activity Theory to investigate how English as a foreign language (EFL) students prompt generative artificial intelligence (AI) tools during short story writing. Sixty-seven Hong Kong secondary school students created generative-AI tools using open-source language models and wrote short stories with t...
cs/0404057
Marcus Hutter
Jan Poland and Marcus Hutter
Convergence of Discrete MDL for Sequential Prediction
17 pages
Proc. 17th Annual Conf. on Learning Theory (COLT-2004), pages 300--314
null
IDSIA-03-04
cs.LG cs.AI math.ST stat.TH
null
We study the properties of the Minimum Description Length principle for sequence prediction, considering a two-part MDL estimator which is chosen from a countable class of models. This applies in particular to the important case of universal sequence prediction, where the model class corresponds to all algorithms for...
[ { "created": "Wed, 28 Apr 2004 15:58:35 GMT", "version": "v1" } ]
2011-11-09
[ [ "Poland", "Jan", "" ], [ "Hutter", "Marcus", "" ] ]
We study the properties of the Minimum Description Length principle for sequence prediction, considering a two-part MDL estimator which is chosen from a countable class of models. This applies in particular to the important case of universal sequence prediction, where the model class corresponds to all algorithms for s...
1209.4922
Mazen Alamir Prof
Mazen Alamir
Monitoring Control Updating Period In Fast Gradient Based NMPC
6 pages, 8 Figures
Proceedings of the European Control Conference, Zurich, 2013
null
null
cs.SY cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a method is proposed for on-line monitoring of the control updating period in fast-gradient-based Model Predictive Control (MPC) schemes. Such schemes are currently under intense investigation as a way to accommodate for real-time requirements when dealing with systems showing fast dynamics. The method...
[ { "created": "Fri, 21 Sep 2012 21:22:56 GMT", "version": "v1" } ]
2013-09-20
[ [ "Alamir", "Mazen", "" ] ]
In this paper, a method is proposed for on-line monitoring of the control updating period in fast-gradient-based Model Predictive Control (MPC) schemes. Such schemes are currently under intense investigation as a way to accommodate for real-time requirements when dealing with systems showing fast dynamics. The method n...
2301.11569
Dmitry Tanana
Dmitry Tanana
Vulnerablity analysis of Azure Blockchain Workbench key management system
4 pages, 2 figures, 1 table
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-sa/4.0/
With rise of blockchain popularity, more and more people seek to implement blockchain technology into their projects. Most common way is to take existing blockchain stack, such as Azure Blockchain Workbench or Oracle Blockchain Platform. While the blockchain technology is well-protected by its algorithms it is still ...
[ { "created": "Fri, 27 Jan 2023 07:29:37 GMT", "version": "v1" } ]
2023-01-30
[ [ "Tanana", "Dmitry", "" ] ]
With rise of blockchain popularity, more and more people seek to implement blockchain technology into their projects. Most common way is to take existing blockchain stack, such as Azure Blockchain Workbench or Oracle Blockchain Platform. While the blockchain technology is well-protected by its algorithms it is still vu...
2303.02657
Sicong Liu
Xiao Tang, Sicong Liu, Xiaojiang Du, Mohsen Guizani
Sparsity-Aware Intelligent Massive Random Access Control in Open RAN: A Reinforcement Learning Based Approach
This paper has been submitted to IEEE Journal on Selected Areas in Communications
null
null
null
cs.LG cs.AI cs.IT cs.NI eess.SP math.IT
http://creativecommons.org/licenses/by/4.0/
Massive random access of devices in the emerging Open Radio Access Network (O-RAN) brings great challenge to the access control and management. Exploiting the bursting nature of the access requests, sparse active user detection (SAUD) is an efficient enabler towards efficient access management, but the sparsity might...
[ { "created": "Sun, 5 Mar 2023 12:25:49 GMT", "version": "v1" } ]
2023-03-07
[ [ "Tang", "Xiao", "" ], [ "Liu", "Sicong", "" ], [ "Du", "Xiaojiang", "" ], [ "Guizani", "Mohsen", "" ] ]
Massive random access of devices in the emerging Open Radio Access Network (O-RAN) brings great challenge to the access control and management. Exploiting the bursting nature of the access requests, sparse active user detection (SAUD) is an efficient enabler towards efficient access management, but the sparsity might b...
2212.12669
Ying Wen
Ying Wen, Ziyu Wan, Ming Zhou, Shufang Hou, Zhe Cao, Chenyang Le, Jingxiao Chen, Zheng Tian, Weinan Zhang, Jun Wang
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective
26 pages, 4 figures
null
null
null
cs.AI cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
The pervasive uncertainty and dynamic nature of real-world environments present significant challenges for the widespread implementation of machine-driven Intelligent Decision-Making (IDM) systems. Consequently, IDM should possess the ability to continuously acquire new skills and effectively generalize across a broa...
[ { "created": "Sat, 24 Dec 2022 06:16:45 GMT", "version": "v1" }, { "created": "Tue, 16 May 2023 07:03:19 GMT", "version": "v2" } ]
2023-05-17
[ [ "Wen", "Ying", "" ], [ "Wan", "Ziyu", "" ], [ "Zhou", "Ming", "" ], [ "Hou", "Shufang", "" ], [ "Cao", "Zhe", "" ], [ "Le", "Chenyang", "" ], [ "Chen", "Jingxiao", "" ], [ "Tian", "Zheng", "...
The pervasive uncertainty and dynamic nature of real-world environments present significant challenges for the widespread implementation of machine-driven Intelligent Decision-Making (IDM) systems. Consequently, IDM should possess the ability to continuously acquire new skills and effectively generalize across a broad ...
2109.03468
Florian Holzinger
Florian Holzinger, Michael Kommenda
Preprocessing and Modeling of Radial Fan Data for Health State Prediction
International Conference on Computer Aided Systems Theory, Eurocast 2019, pp 312-318
In: Moreno-D\'iaz R. et al (eds) Computer Aided Systems Theory, Eurocast 2019. Lecture Notes in Computer Science, vol 12013 (2020)
10.1007/978-3-030-45093-9_38
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Monitoring critical components of systems is a crucial step towards failure safety. Affordable sensors are available and the industry is in the process of introducing and extending monitoring solutions to improve product quality. Often, no expertise of how much data is required for a certain task (e.g. monitoring) ex...
[ { "created": "Wed, 8 Sep 2021 07:37:18 GMT", "version": "v1" } ]
2021-09-09
[ [ "Holzinger", "Florian", "" ], [ "Kommenda", "Michael", "" ] ]
Monitoring critical components of systems is a crucial step towards failure safety. Affordable sensors are available and the industry is in the process of introducing and extending monitoring solutions to improve product quality. Often, no expertise of how much data is required for a certain task (e.g. monitoring) exis...
2106.15883
Jack Parker-Holder
Jack Parker-Holder and Vu Nguyen and Shaan Desai and Stephen Roberts
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite a series of recent successes in reinforcement learning (RL), many RL algorithms remain sensitive to hyperparameters. As such, there has recently been interest in the field of AutoRL, which seeks to automate design decisions to create more general algorithms. Recent work suggests that population based approach...
[ { "created": "Wed, 30 Jun 2021 08:15:59 GMT", "version": "v1" } ]
2021-07-01
[ [ "Parker-Holder", "Jack", "" ], [ "Nguyen", "Vu", "" ], [ "Desai", "Shaan", "" ], [ "Roberts", "Stephen", "" ] ]
Despite a series of recent successes in reinforcement learning (RL), many RL algorithms remain sensitive to hyperparameters. As such, there has recently been interest in the field of AutoRL, which seeks to automate design decisions to create more general algorithms. Recent work suggests that population based approaches...
2304.08085
Xiao Wang
Xiao Wang, Weikang Zhou, Can Zu, Han Xia, Tianze Chen, Yuansen Zhang, Rui Zheng, Junjie Ye, Qi Zhang, Tao Gui, Jihua Kang, Jingsheng Yang, Siyuan Li, Chunsai Du
InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language models have unlocked strong multi-task capabilities from reading instructive prompts. However, recent studies have shown that existing large models still have difficulty with information extraction tasks. For example, gpt-3.5-turbo achieved an F1 score of 18.22 on the Ontonotes dataset, which is signif...
[ { "created": "Mon, 17 Apr 2023 09:00:50 GMT", "version": "v1" } ]
2023-04-18
[ [ "Wang", "Xiao", "" ], [ "Zhou", "Weikang", "" ], [ "Zu", "Can", "" ], [ "Xia", "Han", "" ], [ "Chen", "Tianze", "" ], [ "Zhang", "Yuansen", "" ], [ "Zheng", "Rui", "" ], [ "Ye", "Junjie", ""...
Large language models have unlocked strong multi-task capabilities from reading instructive prompts. However, recent studies have shown that existing large models still have difficulty with information extraction tasks. For example, gpt-3.5-turbo achieved an F1 score of 18.22 on the Ontonotes dataset, which is signific...
2407.02648
Yicheng Zeng
Yuhao Huang, Yicheng Zeng, Xiaobin Xiong
STRIDE: An Open-Source, Low-Cost, and Versatile Bipedal Robot Platform for Research and Education
8 pages, 8 figures
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present STRIDE, a Simple, Terrestrial, Reconfigurable, Intelligent, Dynamic, and Educational bipedal platform. STRIDE aims to propel bipedal robotics research and education by providing a cost-effective implementation with step-by-step instructions for building a bipedal robotic platform while provi...
[ { "created": "Tue, 2 Jul 2024 20:29:42 GMT", "version": "v1" } ]
2024-07-04
[ [ "Huang", "Yuhao", "" ], [ "Zeng", "Yicheng", "" ], [ "Xiong", "Xiaobin", "" ] ]
In this paper, we present STRIDE, a Simple, Terrestrial, Reconfigurable, Intelligent, Dynamic, and Educational bipedal platform. STRIDE aims to propel bipedal robotics research and education by providing a cost-effective implementation with step-by-step instructions for building a bipedal robotic platform while providi...
2208.09910
Lihe Yang
Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, Yinghuan Shi
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
Accepted by CVPR 2023. Code and logs: https://github.com/LiheYoung/UniMatch
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we revisit the weak-to-strong consistency framework, popularized by FixMatch from semi-supervised classification, where the prediction of a weakly perturbed image serves as supervision for its strongly perturbed version. Intriguingly, we observe that such a simple pipeline already achieves competitive r...
[ { "created": "Sun, 21 Aug 2022 15:32:43 GMT", "version": "v1" }, { "created": "Sun, 26 Mar 2023 07:10:13 GMT", "version": "v2" } ]
2023-03-28
[ [ "Yang", "Lihe", "" ], [ "Qi", "Lei", "" ], [ "Feng", "Litong", "" ], [ "Zhang", "Wayne", "" ], [ "Shi", "Yinghuan", "" ] ]
In this work, we revisit the weak-to-strong consistency framework, popularized by FixMatch from semi-supervised classification, where the prediction of a weakly perturbed image serves as supervision for its strongly perturbed version. Intriguingly, we observe that such a simple pipeline already achieves competitive res...
1910.14520
Mo Yu
Haoyu Wang, Mo Yu, Xiaoxiao Guo, Rajarshi Das, Wenhan Xiong, Tian Gao
Do Multi-hop Readers Dream of Reasoning Chains?
Accepted by MRQA Workshop 2019
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
General Question Answering (QA) systems over texts require the multi-hop reasoning capability, i.e. the ability to reason with information collected from multiple passages to derive the answer. In this paper we conduct a systematic analysis to assess such an ability of various existing models proposed for multi-hop Q...
[ { "created": "Thu, 31 Oct 2019 15:02:49 GMT", "version": "v1" } ]
2019-11-01
[ [ "Wang", "Haoyu", "" ], [ "Yu", "Mo", "" ], [ "Guo", "Xiaoxiao", "" ], [ "Das", "Rajarshi", "" ], [ "Xiong", "Wenhan", "" ], [ "Gao", "Tian", "" ] ]
General Question Answering (QA) systems over texts require the multi-hop reasoning capability, i.e. the ability to reason with information collected from multiple passages to derive the answer. In this paper we conduct a systematic analysis to assess such an ability of various existing models proposed for multi-hop QA ...
2107.14039
Joost Visser
Olivier Koster and Ruud Kosman and Joost Visser
A Checklist for Explainable AI in the Insurance Domain
Preprint of short paper for QUATIC 2021 conference
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Artificial intelligence (AI) is a powerful tool to accomplish a great many tasks. This exciting branch of technology is being adopted increasingly across varying sectors, including the insurance domain. With that power arise several complications. One of which is a lack of transparency and explainability of an algori...
[ { "created": "Sun, 18 Jul 2021 10:19:04 GMT", "version": "v1" } ]
2021-07-30
[ [ "Koster", "Olivier", "" ], [ "Kosman", "Ruud", "" ], [ "Visser", "Joost", "" ] ]
Artificial intelligence (AI) is a powerful tool to accomplish a great many tasks. This exciting branch of technology is being adopted increasingly across varying sectors, including the insurance domain. With that power arise several complications. One of which is a lack of transparency and explainability of an algorith...
2203.09227
Furong Ye
Furong Ye and Diederick L. Vermetten and Carola Doerr and Thomas B\"ack
Non-Elitist Selection Can Improve the Performance of Irace
PPSN 2022
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern optimization strategies such as evolutionary algorithms, ant colony algorithms, Bayesian optimization techniques, etc. come with several parameters that steer their behavior during the optimization process. To obtain high-performing algorithm instances, automated algorithm configuration techniques have been de...
[ { "created": "Thu, 17 Mar 2022 10:34:30 GMT", "version": "v1" }, { "created": "Sun, 17 Apr 2022 20:29:41 GMT", "version": "v2" }, { "created": "Sat, 25 Jun 2022 23:45:24 GMT", "version": "v3" } ]
2022-06-28
[ [ "Ye", "Furong", "" ], [ "Vermetten", "Diederick L.", "" ], [ "Doerr", "Carola", "" ], [ "Bäck", "Thomas", "" ] ]
Modern optimization strategies such as evolutionary algorithms, ant colony algorithms, Bayesian optimization techniques, etc. come with several parameters that steer their behavior during the optimization process. To obtain high-performing algorithm instances, automated algorithm configuration techniques have been deve...
2107.14283
Kristina Sojakova
Kristina Sojakova
Syllepsis in Homotopy Type Theory
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is well-known that in homotopy type theory (HoTT), one can prove the Eckmann-Hilton theorem: given two 2-loops p, q : 1 = 1 on the reflexivity path at an arbitrary point a : A, we have pq = qp. If we go one dimension higher, i.e., if p and q are 3-loops, we show that a property classically known as syllepsis also ...
[ { "created": "Thu, 29 Jul 2021 19:03:02 GMT", "version": "v1" } ]
2021-08-02
[ [ "Sojakova", "Kristina", "" ] ]
It is well-known that in homotopy type theory (HoTT), one can prove the Eckmann-Hilton theorem: given two 2-loops p, q : 1 = 1 on the reflexivity path at an arbitrary point a : A, we have pq = qp. If we go one dimension higher, i.e., if p and q are 3-loops, we show that a property classically known as syllepsis also ho...
2211.07491
Yigit Baran Can
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
Piecewise Planar Hulls for Semi-Supervised Learning of 3D Shape and Pose from 2D Images
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of estimating 3D shape and pose of an object in terms of keypoints, from a single 2D image. The shape and pose are learned directly from images collected by categories and their partial 2D keypoint annotations.. In this work, we first propose an end-to-end training framework for intermediate 2D...
[ { "created": "Mon, 14 Nov 2022 16:18:11 GMT", "version": "v1" } ]
2022-11-15
[ [ "Can", "Yigit Baran", "" ], [ "Liniger", "Alexander", "" ], [ "Paudel", "Danda Pani", "" ], [ "Van Gool", "Luc", "" ] ]
We study the problem of estimating 3D shape and pose of an object in terms of keypoints, from a single 2D image. The shape and pose are learned directly from images collected by categories and their partial 2D keypoint annotations.. In this work, we first propose an end-to-end training framework for intermediate 2D key...
2312.08200
Yunchen Li
Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui Lin
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space
AAAI2024
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Symmetric positive definite~(SPD) matrices have shown important value and applications in statistics and machine learning, such as FMRI analysis and traffic prediction. Previous works on SPD matrices mostly focus on discriminative models, where predictions are made directly on $E(X|y)$, where $y$ is a vector and $X$ ...
[ { "created": "Wed, 13 Dec 2023 15:08:54 GMT", "version": "v1" } ]
2023-12-14
[ [ "Li", "Yunchen", "" ], [ "Yu", "Zhou", "" ], [ "He", "Gaoqi", "" ], [ "Shen", "Yunhang", "" ], [ "Li", "Ke", "" ], [ "Sun", "Xing", "" ], [ "Lin", "Shaohui", "" ] ]
Symmetric positive definite~(SPD) matrices have shown important value and applications in statistics and machine learning, such as FMRI analysis and traffic prediction. Previous works on SPD matrices mostly focus on discriminative models, where predictions are made directly on $E(X|y)$, where $y$ is a vector and $X$ is...
2103.08469
Alexander Barbie
Alexander Barbie, Niklas Pech, Wilhelm Hasselbring, Sascha Fl\"ogel, Frank Wenzh\"ofer, Michael Walter, Elena Shchekinova, Marc Busse, Matthias T\"urk, Michael Hofbauer, Stefan Sommer
Developing an Underwater Network of Ocean Observation Systems with Digital Twin Prototypes -- A Field Report from the Baltic Sea
8 pages, 5 figures, to be published in IEEE Internet Computing
null
10.1109/MIC.2021.3065245
null
cs.SE cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
During the research cruise AL547 with RV ALKOR (October 20-31, 2020), a collaborative underwater network of ocean observation systems was deployed in Boknis Eck (SW Baltic Sea, German exclusive economic zone (EEZ)) in the context of the project ARCHES (Autonomous Robotic Networks to Help Modern Societies). This netwo...
[ { "created": "Mon, 15 Mar 2021 15:45:49 GMT", "version": "v1" } ]
2021-03-16
[ [ "Barbie", "Alexander", "" ], [ "Pech", "Niklas", "" ], [ "Hasselbring", "Wilhelm", "" ], [ "Flögel", "Sascha", "" ], [ "Wenzhöfer", "Frank", "" ], [ "Walter", "Michael", "" ], [ "Shchekinova", "Elena", "" ...
During the research cruise AL547 with RV ALKOR (October 20-31, 2020), a collaborative underwater network of ocean observation systems was deployed in Boknis Eck (SW Baltic Sea, German exclusive economic zone (EEZ)) in the context of the project ARCHES (Autonomous Robotic Networks to Help Modern Societies). This network...
2010.00866
Wolfgang Fuhl
Wolfgang Fuhl, Enkelejda Kasneci
Weight and Gradient Centralization in Deep Neural Networks
null
null
null
null
cs.CV cs.LG eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Batch normalization is currently the most widely used variant of internal normalization for deep neural networks. Additional work has shown that the normalization of weights and additional conditioning as well as the normalization of gradients further improve the generalization. In this work, we combine several of th...
[ { "created": "Fri, 2 Oct 2020 08:50:04 GMT", "version": "v1" }, { "created": "Fri, 30 Oct 2020 14:13:39 GMT", "version": "v2" }, { "created": "Sun, 17 Jan 2021 12:05:14 GMT", "version": "v3" } ]
2021-01-19
[ [ "Fuhl", "Wolfgang", "" ], [ "Kasneci", "Enkelejda", "" ] ]
Batch normalization is currently the most widely used variant of internal normalization for deep neural networks. Additional work has shown that the normalization of weights and additional conditioning as well as the normalization of gradients further improve the generalization. In this work, we combine several of thes...
2008.01701
Aupendu Kar
Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas
Progressive Update Guided Interdependent Networks for Single Image Dehazing
First two authors contributed equally. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Project Website: https://aupendu.github.io/progressive-dehaze
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Images with haze of different varieties often pose a significant challenge to dehazing. Therefore, guidance by estimates of haze parameters related to the variety would be beneficial, and their progressive update jointly with haze reduction will allow effective dehazing. To this end, we propose a multi-network dehazi...
[ { "created": "Tue, 4 Aug 2020 17:05:48 GMT", "version": "v1" }, { "created": "Tue, 8 Feb 2022 17:42:12 GMT", "version": "v2" }, { "created": "Tue, 27 Dec 2022 09:09:33 GMT", "version": "v3" }, { "created": "Wed, 7 Jun 2023 17:28:39 GMT", "version": "v4" } ]
2023-06-08
[ [ "Kar", "Aupendu", "" ], [ "Dhara", "Sobhan Kanti", "" ], [ "Sen", "Debashis", "" ], [ "Biswas", "Prabir Kumar", "" ] ]
Images with haze of different varieties often pose a significant challenge to dehazing. Therefore, guidance by estimates of haze parameters related to the variety would be beneficial, and their progressive update jointly with haze reduction will allow effective dehazing. To this end, we propose a multi-network dehazing...
2206.09106
Zhengyi Luo
Zhengyi Luo, Shun Iwase, Ye Yuan, Kris Kitani
Embodied Scene-aware Human Pose Estimation
NeurIPS 2022. Project website: https://zhengyiluo.github.io/projects/embodied_pose/. Zhengyi Luo and Shun Iwase contributed equally
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
We propose embodied scene-aware human pose estimation where we estimate 3D poses based on a simulated agent's proprioception and scene awareness, along with external third-person observations. Unlike prior methods that often resort to multistage optimization, non-causal inference, and complex contact modeling to esti...
[ { "created": "Sat, 18 Jun 2022 03:50:19 GMT", "version": "v1" }, { "created": "Thu, 14 Jul 2022 20:13:26 GMT", "version": "v2" }, { "created": "Thu, 13 Oct 2022 20:31:36 GMT", "version": "v3" } ]
2022-10-17
[ [ "Luo", "Zhengyi", "" ], [ "Iwase", "Shun", "" ], [ "Yuan", "Ye", "" ], [ "Kitani", "Kris", "" ] ]
We propose embodied scene-aware human pose estimation where we estimate 3D poses based on a simulated agent's proprioception and scene awareness, along with external third-person observations. Unlike prior methods that often resort to multistage optimization, non-causal inference, and complex contact modeling to estima...
2402.18792
Fangyuan Zhang
Fangyuan Zhang, Huichi Zhou, Shuangjiao Li, Hongtao Wang
MPAT: Building Robust Deep Neural Networks against Textual Adversarial Attacks
null
null
null
null
cs.LG cs.CL cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks have been proven to be vulnerable to adversarial examples and various methods have been proposed to defend against adversarial attacks for natural language processing tasks. However, previous defense methods have limitations in maintaining effective defense while ensuring the performance of the o...
[ { "created": "Thu, 29 Feb 2024 01:49:18 GMT", "version": "v1" } ]
2024-03-01
[ [ "Zhang", "Fangyuan", "" ], [ "Zhou", "Huichi", "" ], [ "Li", "Shuangjiao", "" ], [ "Wang", "Hongtao", "" ] ]
Deep neural networks have been proven to be vulnerable to adversarial examples and various methods have been proposed to defend against adversarial attacks for natural language processing tasks. However, previous defense methods have limitations in maintaining effective defense while ensuring the performance of the ori...
1507.08600
Alexey Sorokin
Alexey Sorokin
Normal forms for linear displacement context-free grammars
5 pages, just for educational and referential purposes, therefore no references
null
null
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we prove several results on normal forms for linear displacement context-free grammars. The results themselves are rather simple and use well-known techniques, but they are extensively used in more complex constructions. Therefore this article mostly serves educational and referential purposes.
[ { "created": "Thu, 30 Jul 2015 17:54:59 GMT", "version": "v1" } ]
2015-07-31
[ [ "Sorokin", "Alexey", "" ] ]
In this paper we prove several results on normal forms for linear displacement context-free grammars. The results themselves are rather simple and use well-known techniques, but they are extensively used in more complex constructions. Therefore this article mostly serves educational and referential purposes.
2407.16680
Adrian Remonda
Adrian Remonda, Nicklas Hansen, Ayoub Raji, Nicola Musiu, Marko Bertogna, Eduardo Veas, Xiaolong Wang
A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data
Project page and code can be found at: \url{https://assetto-corsa-gym.github.io/}
null
null
null
cs.RO cs.LG
http://creativecommons.org/licenses/by/4.0/
Despite the availability of international prize-money competitions, scaled vehicles, and simulation environments, research on autonomous racing and the control of sports cars operating close to the limit of handling has been limited by the high costs of vehicle acquisition and management, as well as the limited physi...
[ { "created": "Tue, 23 Jul 2024 17:45:16 GMT", "version": "v1" }, { "created": "Wed, 24 Jul 2024 10:58:48 GMT", "version": "v2" } ]
2024-07-25
[ [ "Remonda", "Adrian", "" ], [ "Hansen", "Nicklas", "" ], [ "Raji", "Ayoub", "" ], [ "Musiu", "Nicola", "" ], [ "Bertogna", "Marko", "" ], [ "Veas", "Eduardo", "" ], [ "Wang", "Xiaolong", "" ] ]
Despite the availability of international prize-money competitions, scaled vehicles, and simulation environments, research on autonomous racing and the control of sports cars operating close to the limit of handling has been limited by the high costs of vehicle acquisition and management, as well as the limited physics...
cs/0307054
Mihai V. Putz
Viorel Putz and Mihai V. Putz
Contributions to the Development and Improvement of a Regulatory and Pre-Regulatory Digitally System for the Tools within Flexible Fabrication Systems
5 pages, 3 figures
null
null
null
cs.CE cs.SE
null
The paper reports the obtained results for the projection and realization of a digitally system aiming to assist the equipment for a regulatory and pre-regulatory tools and holding tools within the flexible fabrication systems (FFS). Moreover, based on the present results, the same methodology can be applied for assi...
[ { "created": "Thu, 24 Jul 2003 14:01:16 GMT", "version": "v1" } ]
2007-05-23
[ [ "Putz", "Viorel", "" ], [ "Putz", "Mihai V.", "" ] ]
The paper reports the obtained results for the projection and realization of a digitally system aiming to assist the equipment for a regulatory and pre-regulatory tools and holding tools within the flexible fabrication systems (FFS). Moreover, based on the present results, the same methodology can be applied for assist...
1611.06314
Georgios Giasemidis Dr
Georgios Giasemidis, Colin Singleton, Ioannis Agrafiotis, Jason R.C. Nurse, Alan Pilgrim, Chris Willis, Danica Vukadinovic Greetham
Determining the Veracity of Rumours on Twitter
21 pages, 6 figures, 2 tables
SocInfo 2016, Part I, LNCS 10046, pp. 185-205, 2016
10.1007/978-3-319-47880-7_12
null
cs.SI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While social networks can provide an ideal platform for up-to-date information from individuals across the world, it has also proved to be a place where rumours fester and accidental or deliberate misinformation often emerges. In this article, we aim to support the task of making sense from social media data, and spe...
[ { "created": "Sat, 19 Nov 2016 06:22:50 GMT", "version": "v1" } ]
2016-11-22
[ [ "Giasemidis", "Georgios", "" ], [ "Singleton", "Colin", "" ], [ "Agrafiotis", "Ioannis", "" ], [ "Nurse", "Jason R. C.", "" ], [ "Pilgrim", "Alan", "" ], [ "Willis", "Chris", "" ], [ "Greetham", "Danica Vukadin...
While social networks can provide an ideal platform for up-to-date information from individuals across the world, it has also proved to be a place where rumours fester and accidental or deliberate misinformation often emerges. In this article, we aim to support the task of making sense from social media data, and speci...
1504.01928
EPTCS
Nikolay Pakulin (Institute for System Programming Russian Academy of Sciences), Alexander K. Petrenko (Institute for System Programming Russian Academy of Sciences), Bernd-Holger Schlingloff (Humboldt-Universit\"at zu Berlin, Institut f\"ur Informatik)
Proceedings Tenth Workshop on Model Based Testing
null
EPTCS 180, 2015
10.4204/EPTCS.180
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The workshop is devoted to model-based testing of both software and hardware. Model-based testing uses models describing the required behavior of the system under consideration to guide such efforts as test selection and test results evaluation. Testing validates the real system behavior against models and checks tha...
[ { "created": "Wed, 8 Apr 2015 12:05:03 GMT", "version": "v1" } ]
2015-04-09
[ [ "Pakulin", "Nikolay", "", "Institute for System Programming Russian Academy of\n Sciences" ], [ "Petrenko", "Alexander K.", "", "Institute for System Programming Russian\n Academy of Sciences" ], [ "Schlingloff", "Bernd-Holger", "", "Humboldt-Universität z...
The workshop is devoted to model-based testing of both software and hardware. Model-based testing uses models describing the required behavior of the system under consideration to guide such efforts as test selection and test results evaluation. Testing validates the real system behavior against models and checks that ...
1807.00637
Shaked Perek
Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin
Mammography Dual View Mass Correspondence
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Standard breast cancer screening involves the acquisition of two mammography X-ray projections for each breast. Typically, a comparison of both views supports the challenging task of tumor detection and localization. We introduce a deep learning, patch-based Siamese network for lesion matching in dual-view mammograph...
[ { "created": "Mon, 2 Jul 2018 12:52:24 GMT", "version": "v1" } ]
2018-07-03
[ [ "Perek", "Shaked", "" ], [ "Hazan", "Alon", "" ], [ "Barkan", "Ella", "" ], [ "Akselrod-Ballin", "Ayelet", "" ] ]
Standard breast cancer screening involves the acquisition of two mammography X-ray projections for each breast. Typically, a comparison of both views supports the challenging task of tumor detection and localization. We introduce a deep learning, patch-based Siamese network for lesion matching in dual-view mammography....
1308.0090
Alex James Dr
A. P. James and L.R.V.J. Francis and D. Kumar
Resistive Threshold Logic
Memristors, Brain inspired logic circuits. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2013
null
10.1109/TVLSI.2012.2232946
null
cs.ET cs.AR
http://creativecommons.org/licenses/by/3.0/
We report a resistance based threshold logic family useful for mimicking brain like large variable logic functions in VLSI. A universal Boolean logic cell based on an analog resistive divider and threshold logic circuit is presented. The resistive divider is implemented using memristors and provides output voltage as...
[ { "created": "Thu, 1 Aug 2013 04:17:30 GMT", "version": "v1" } ]
2013-08-03
[ [ "James", "A. P.", "" ], [ "Francis", "L. R. V. J.", "" ], [ "Kumar", "D.", "" ] ]
We report a resistance based threshold logic family useful for mimicking brain like large variable logic functions in VLSI. A universal Boolean logic cell based on an analog resistive divider and threshold logic circuit is presented. The resistive divider is implemented using memristors and provides output voltage as a...
2405.06761
Aida Manzano Kharman
Aida Manzano Kharman, Pietro Ferraro, Homayoun Hamedmoghadam, Robert Shorten
Tree Proof-of-Position Algorithms
null
null
null
null
cs.DS
http://creativecommons.org/licenses/by-nc-sa/4.0/
We present a novel class of proof-of-position algorithms: Tree-Proof-of-Position (T-PoP). This algorithm is decentralised, collaborative and can be computed in a privacy preserving manner, such that agents do not need to reveal their position publicly. We make no assumptions of honest behaviour in the system, and con...
[ { "created": "Fri, 10 May 2024 18:26:01 GMT", "version": "v1" }, { "created": "Tue, 4 Jun 2024 15:13:08 GMT", "version": "v2" } ]
2024-06-05
[ [ "Kharman", "Aida Manzano", "" ], [ "Ferraro", "Pietro", "" ], [ "Hamedmoghadam", "Homayoun", "" ], [ "Shorten", "Robert", "" ] ]
We present a novel class of proof-of-position algorithms: Tree-Proof-of-Position (T-PoP). This algorithm is decentralised, collaborative and can be computed in a privacy preserving manner, such that agents do not need to reveal their position publicly. We make no assumptions of honest behaviour in the system, and consi...
2112.14055
EPTCS
Samuel Mimram (Ecole polytechnique), Aly-Bora Ulusoy (Ecole polytechnique)
Syntactic Regions for Concurrent Programs
In Proceedings MFPS 2021, arXiv:2112.13746
EPTCS 351, 2021, pp. 184-199
10.4204/EPTCS.351.12
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
In order to gain a better understanding of the state space of programs, with the aim of making their verification more tractable, models based on directed topological spaces have been introduced, allowing to take in account equivalence between execution traces, as well as translate features of the execution (such as ...
[ { "created": "Tue, 28 Dec 2021 09:09:02 GMT", "version": "v1" } ]
2021-12-30
[ [ "Mimram", "Samuel", "", "Ecole polytechnique" ], [ "Ulusoy", "Aly-Bora", "", "Ecole\n polytechnique" ] ]
In order to gain a better understanding of the state space of programs, with the aim of making their verification more tractable, models based on directed topological spaces have been introduced, allowing to take in account equivalence between execution traces, as well as translate features of the execution (such as th...
2308.05948
Yiyang Cai
Yiyang Cai, Jiaming Lu, Jiewen Wang, Shuang Liang
Uncertainty-Aware Cross-Modal Transfer Network for Sketch-Based 3D Shape Retrieval
6 pages, 7 figures; To be published in IEEE International Conference on Multimedia and Expo 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, sketch-based 3D shape retrieval has attracted growing attention. While many previous studies have focused on cross-modal matching between hand-drawn sketches and 3D shapes, the critical issue of how to handle low-quality and noisy samples in sketch data has been largely neglected. This paper presents...
[ { "created": "Fri, 11 Aug 2023 05:46:52 GMT", "version": "v1" } ]
2023-08-14
[ [ "Cai", "Yiyang", "" ], [ "Lu", "Jiaming", "" ], [ "Wang", "Jiewen", "" ], [ "Liang", "Shuang", "" ] ]
In recent years, sketch-based 3D shape retrieval has attracted growing attention. While many previous studies have focused on cross-modal matching between hand-drawn sketches and 3D shapes, the critical issue of how to handle low-quality and noisy samples in sketch data has been largely neglected. This paper presents a...
2202.06268
Nannan Li
Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao
BViT: Broad Attention based Vision Transformer
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent works have demonstrated that transformer can achieve promising performance in computer vision, by exploiting the relationship among image patches with self-attention. While they only consider the attention in a single feature layer, but ignore the complementarity of attention in different levels. In this paper...
[ { "created": "Sun, 13 Feb 2022 09:23:29 GMT", "version": "v1" }, { "created": "Fri, 9 Jun 2023 06:08:37 GMT", "version": "v2" } ]
2023-06-12
[ [ "Li", "Nannan", "" ], [ "Chen", "Yaran", "" ], [ "Li", "Weifan", "" ], [ "Ding", "Zixiang", "" ], [ "Zhao", "Dongbin", "" ] ]
Recent works have demonstrated that transformer can achieve promising performance in computer vision, by exploiting the relationship among image patches with self-attention. While they only consider the attention in a single feature layer, but ignore the complementarity of attention in different levels. In this paper, ...
2404.01268
Weixin Liang
Weixin Liang, Yaohui Zhang, Zhengxuan Wu, Haley Lepp, Wenlong Ji, Xuandong Zhao, Hancheng Cao, Sheng Liu, Siyu He, Zhi Huang, Diyi Yang, Christopher Potts, Christopher D Manning, James Y. Zou
Mapping the Increasing Use of LLMs in Scientific Papers
null
null
null
null
cs.CL cs.AI cs.DL cs.LG cs.SI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Scientific publishing lays the foundation of science by disseminating research findings, fostering collaboration, encouraging reproducibility, and ensuring that scientific knowledge is accessible, verifiable, and built upon over time. Recently, there has been immense speculation about how many people are using large ...
[ { "created": "Mon, 1 Apr 2024 17:45:15 GMT", "version": "v1" } ]
2024-04-02
[ [ "Liang", "Weixin", "" ], [ "Zhang", "Yaohui", "" ], [ "Wu", "Zhengxuan", "" ], [ "Lepp", "Haley", "" ], [ "Ji", "Wenlong", "" ], [ "Zhao", "Xuandong", "" ], [ "Cao", "Hancheng", "" ], [ "Liu", "...
Scientific publishing lays the foundation of science by disseminating research findings, fostering collaboration, encouraging reproducibility, and ensuring that scientific knowledge is accessible, verifiable, and built upon over time. Recently, there has been immense speculation about how many people are using large la...
1604.03763
Shun Zheng
Shun Zheng, Jialei Wang, Fen Xia, Wei Xu, Tong Zhang
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization
null
null
null
null
cs.LG cs.DC math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In modern large-scale machine learning applications, the training data are often partitioned and stored on multiple machines. It is customary to employ the "data parallelism" approach, where the aggregated training loss is minimized without moving data across machines. In this paper, we introduce a novel distributed ...
[ { "created": "Wed, 13 Apr 2016 13:33:32 GMT", "version": "v1" }, { "created": "Wed, 19 Apr 2017 15:00:24 GMT", "version": "v2" }, { "created": "Fri, 25 Aug 2017 02:42:32 GMT", "version": "v3" } ]
2017-08-28
[ [ "Zheng", "Shun", "" ], [ "Wang", "Jialei", "" ], [ "Xia", "Fen", "" ], [ "Xu", "Wei", "" ], [ "Zhang", "Tong", "" ] ]
In modern large-scale machine learning applications, the training data are often partitioned and stored on multiple machines. It is customary to employ the "data parallelism" approach, where the aggregated training loss is minimized without moving data across machines. In this paper, we introduce a novel distributed du...