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2201.05767
Yoshitomo Matsubara
Yoshitomo Matsubara, Luca Soldaini, Eric Lind, Alessandro Moschitti
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems
Accepted to EMNLP 2022 as a long paper (Findings). Model code is available at https://github.com/amazon-research/wqa-cerberus
Findings of the Association for Computational Linguistics: EMNLP 2022
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large transformer models can highly improve Answer Sentence Selection (AS2) tasks, but their high computational costs prevent their use in many real-world applications. In this paper, we explore the following research question: How can we make the AS2 models more accurate without significantly increasing their model ...
[ { "created": "Sat, 15 Jan 2022 06:21:01 GMT", "version": "v1" }, { "created": "Tue, 6 Dec 2022 18:57:44 GMT", "version": "v2" } ]
2023-05-29
[ [ "Matsubara", "Yoshitomo", "" ], [ "Soldaini", "Luca", "" ], [ "Lind", "Eric", "" ], [ "Moschitti", "Alessandro", "" ] ]
Large transformer models can highly improve Answer Sentence Selection (AS2) tasks, but their high computational costs prevent their use in many real-world applications. In this paper, we explore the following research question: How can we make the AS2 models more accurate without significantly increasing their model co...
2205.03853
Ling Luo
Ling Luo, Chih-Hsuan Wei, Po-Ting Lai, Qingyu Chen, Rezarta Islamaj Do\u{g}an, Zhiyong Lu
Assigning Species Information to Corresponding Genes by a Sequence Labeling Framework
null
Database, Volume 2022, 2022, baac090
10.1093/database/baac090
null
cs.CL cs.IR cs.LG q-bio.GN
http://creativecommons.org/licenses/by/4.0/
The automatic assignment of species information to the corresponding genes in a research article is a critically important step in the gene normalization task, whereby a gene mention is normalized and linked to a database record or identifier by a text-mining algorithm. Existing methods typically rely on heuristic ru...
[ { "created": "Sun, 8 May 2022 12:39:45 GMT", "version": "v1" } ]
2022-10-17
[ [ "Luo", "Ling", "" ], [ "Wei", "Chih-Hsuan", "" ], [ "Lai", "Po-Ting", "" ], [ "Chen", "Qingyu", "" ], [ "Doğan", "Rezarta Islamaj", "" ], [ "Lu", "Zhiyong", "" ] ]
The automatic assignment of species information to the corresponding genes in a research article is a critically important step in the gene normalization task, whereby a gene mention is normalized and linked to a database record or identifier by a text-mining algorithm. Existing methods typically rely on heuristic rule...
2007.14769
Zijun Wu
Zijun Wu, Rolf H. Moehring, Chunying Ren and Dachuan Xu
A convergence analysis of the price of anarchy in atomic congestion games
57 pages
Mathematical Programming, 2022
10.1007/s10107-022-01853-0
null
cs.GT econ.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper provides a comprehensive convergence analysis of the PoA of both pure and mixed Nash equilibria in atomic congestion games with unsplittable demands.
[ { "created": "Tue, 28 Jul 2020 04:31:43 GMT", "version": "v1" }, { "created": "Mon, 19 Jul 2021 12:05:03 GMT", "version": "v2" }, { "created": "Thu, 9 Dec 2021 00:41:46 GMT", "version": "v3" } ]
2022-06-24
[ [ "Wu", "Zijun", "" ], [ "Moehring", "Rolf H.", "" ], [ "Ren", "Chunying", "" ], [ "Xu", "Dachuan", "" ] ]
This paper provides a comprehensive convergence analysis of the PoA of both pure and mixed Nash equilibria in atomic congestion games with unsplittable demands.
1910.09779
Jiaming Song
Jiaming Song and Stefano Ermon
Bridging the Gap Between $f$-GANs and Wasserstein GANs
updated for ICML camera ready version
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative adversarial networks (GANs) have enjoyed much success in learning high-dimensional distributions. Learning objectives approximately minimize an $f$-divergence ($f$-GANs) or an integral probability metric (Wasserstein GANs) between the model and the data distribution using a discriminator. Wasserstein GANs ...
[ { "created": "Tue, 22 Oct 2019 05:55:03 GMT", "version": "v1" }, { "created": "Wed, 17 Jun 2020 20:53:50 GMT", "version": "v2" } ]
2020-06-19
[ [ "Song", "Jiaming", "" ], [ "Ermon", "Stefano", "" ] ]
Generative adversarial networks (GANs) have enjoyed much success in learning high-dimensional distributions. Learning objectives approximately minimize an $f$-divergence ($f$-GANs) or an integral probability metric (Wasserstein GANs) between the model and the data distribution using a discriminator. Wasserstein GANs en...
2012.09696
Jens Lundell
Jens Lundell, Enric Corona, Tran Nguyen Le, Francesco Verdoja, Philippe Weinzaepfel, Gregory Rogez, Francesc Moreno-Noguer, Ville Kyrki
Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps
Accepted to IEEE Conference on Robotics and Automation 2021 (ICRA). Code is available at https://irobotics.aalto.fi/multi-fingan/
null
null
null
cs.RO cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While there exists many methods for manipulating rigid objects with parallel-jaw grippers, grasping with multi-finger robotic hands remains a quite unexplored research topic. Reasoning and planning collision-free trajectories on the additional degrees of freedom of several fingers represents an important challenge th...
[ { "created": "Thu, 17 Dec 2020 16:08:18 GMT", "version": "v1" }, { "created": "Mon, 15 Mar 2021 08:50:39 GMT", "version": "v2" } ]
2021-03-16
[ [ "Lundell", "Jens", "" ], [ "Corona", "Enric", "" ], [ "Le", "Tran Nguyen", "" ], [ "Verdoja", "Francesco", "" ], [ "Weinzaepfel", "Philippe", "" ], [ "Rogez", "Gregory", "" ], [ "Moreno-Noguer", "Francesc", ...
While there exists many methods for manipulating rigid objects with parallel-jaw grippers, grasping with multi-finger robotic hands remains a quite unexplored research topic. Reasoning and planning collision-free trajectories on the additional degrees of freedom of several fingers represents an important challenge that...
2404.17044
Johannes Betz Prof. Dr.
Johannes Betz, Melina Lutwitzi, Steven Peters
A new Taxonomy for Automated Driving: Structuring Applications based on their Operational Design Domain, Level of Automation and Automation Readiness
null
null
null
null
cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
The aim of this paper is to investigate the relationship between operational design domains (ODD), automated driving SAE Levels, and Technology Readiness Level (TRL). The first highly automated vehicles, like robotaxis, are in commercial use, and the first vehicles with highway pilot systems have been delivered to pr...
[ { "created": "Thu, 25 Apr 2024 21:09:11 GMT", "version": "v1" } ]
2024-04-29
[ [ "Betz", "Johannes", "" ], [ "Lutwitzi", "Melina", "" ], [ "Peters", "Steven", "" ] ]
The aim of this paper is to investigate the relationship between operational design domains (ODD), automated driving SAE Levels, and Technology Readiness Level (TRL). The first highly automated vehicles, like robotaxis, are in commercial use, and the first vehicles with highway pilot systems have been delivered to priv...
1509.06891
Rourab Paul
Swagata Mandal, Rourab Paul, Suman Sau, Amlan Chakrabarti and Subhasis Chattopadhyay
A Novel Method for Soft Error Mitigation in FPGA using Adaptive Cross Parity Code
Manuscript
null
null
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Field Programmable Gate Arrays (FPGAs) are more prone to be affected by transient faults in presence of radiation and other environmental hazards compared to Application Specific Integrated Circuits (ASICs). Hence, error mitigation and recovery techniques are absolutely necessary to protect the FPGA hardware from sof...
[ { "created": "Wed, 23 Sep 2015 09:02:49 GMT", "version": "v1" } ]
2015-09-24
[ [ "Mandal", "Swagata", "" ], [ "Paul", "Rourab", "" ], [ "Sau", "Suman", "" ], [ "Chakrabarti", "Amlan", "" ], [ "Chattopadhyay", "Subhasis", "" ] ]
Field Programmable Gate Arrays (FPGAs) are more prone to be affected by transient faults in presence of radiation and other environmental hazards compared to Application Specific Integrated Circuits (ASICs). Hence, error mitigation and recovery techniques are absolutely necessary to protect the FPGA hardware from soft ...
2201.12658
Samuel Sokota
Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob Foerster
Learning Intuitive Policies Using Action Features
ICML 2023
null
null
null
cs.LG cs.AI cs.MA
http://creativecommons.org/licenses/by/4.0/
An unaddressed challenge in multi-agent coordination is to enable AI agents to exploit the semantic relationships between the features of actions and the features of observations. Humans take advantage of these relationships in highly intuitive ways. For instance, in the absence of a shared language, we might point t...
[ { "created": "Sat, 29 Jan 2022 20:54:52 GMT", "version": "v1" }, { "created": "Tue, 6 Jun 2023 01:35:13 GMT", "version": "v2" } ]
2023-06-07
[ [ "Ma", "Mingwei", "" ], [ "Liu", "Jizhou", "" ], [ "Sokota", "Samuel", "" ], [ "Kleiman-Weiner", "Max", "" ], [ "Foerster", "Jakob", "" ] ]
An unaddressed challenge in multi-agent coordination is to enable AI agents to exploit the semantic relationships between the features of actions and the features of observations. Humans take advantage of these relationships in highly intuitive ways. For instance, in the absence of a shared language, we might point to ...
1012.0058
Zolt\'an K\'asa
Zolt\'an K\'atai
Modelling dynamic programming problems by generalized d-graphs
null
Acta Univ. Sapientiae Informatica, vol. 2 no. 2 (2010) 210-230
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we introduce the concept of generalized d-graph (admitting cycles) as special dependency-graphs for modelling dynamic programming (DP) problems. We describe the d-graph versions of three famous single-source shortest algorithms (The algorithm based on the topological order of the vertices, Dijkstra algo...
[ { "created": "Tue, 30 Nov 2010 22:59:46 GMT", "version": "v1" } ]
2010-12-07
[ [ "Kátai", "Zoltán", "" ] ]
In this paper we introduce the concept of generalized d-graph (admitting cycles) as special dependency-graphs for modelling dynamic programming (DP) problems. We describe the d-graph versions of three famous single-source shortest algorithms (The algorithm based on the topological order of the vertices, Dijkstra algori...
1708.06199
Sebastian Berndt
Sebastian Berndt and Maciej Liskiewicz
Algorithm Substitution Attacks from a Steganographic Perspective
CCS 2017, 12 pages, double-column; fixed a typo in the advantage-definitions; removed the dependency on the random-oracle-model for the upper bound on the rate
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The goal of an algorithm substitution attack (ASA), also called a subversion attack (SA), is to replace an honest implementation of a cryptographic tool by a subverted one which allows to leak private information while generating output indistinguishable from the honest output. Bellare, Paterson, and Rogaway provided...
[ { "created": "Mon, 21 Aug 2017 13:06:23 GMT", "version": "v1" }, { "created": "Wed, 1 Nov 2017 11:00:06 GMT", "version": "v2" } ]
2017-11-02
[ [ "Berndt", "Sebastian", "" ], [ "Liskiewicz", "Maciej", "" ] ]
The goal of an algorithm substitution attack (ASA), also called a subversion attack (SA), is to replace an honest implementation of a cryptographic tool by a subverted one which allows to leak private information while generating output indistinguishable from the honest output. Bellare, Paterson, and Rogaway provided a...
2009.04570
Eric Hall
S{\o}ren Taverniers and Eric J. Hall and Markos A. Katsoulakis and Daniel M. Tartakovsky
Mutual Information for Explainable Deep Learning of Multiscale Systems
27 pages, 8 figures. Added additional examples
null
10.1016/j.jcp.2021.110551
null
cs.LG cs.NA math.NA stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Timely completion of design cycles for complex systems ranging from consumer electronics to hypersonic vehicles relies on rapid simulation-based prototyping. The latter typically involves high-dimensional spaces of possibly correlated control variables (CVs) and quantities of interest (QoIs) with non-Gaussian and pos...
[ { "created": "Mon, 7 Sep 2020 18:26:21 GMT", "version": "v1" }, { "created": "Wed, 19 May 2021 10:04:18 GMT", "version": "v2" } ]
2021-07-28
[ [ "Taverniers", "Søren", "" ], [ "Hall", "Eric J.", "" ], [ "Katsoulakis", "Markos A.", "" ], [ "Tartakovsky", "Daniel M.", "" ] ]
Timely completion of design cycles for complex systems ranging from consumer electronics to hypersonic vehicles relies on rapid simulation-based prototyping. The latter typically involves high-dimensional spaces of possibly correlated control variables (CVs) and quantities of interest (QoIs) with non-Gaussian and possi...
2405.00793
Karwan Mustafa Kareem
Karwan Mustafa Kareem
The Impact of IMSI Catcher Deployments on Cellular Network Security: Challenges and Countermeasures in 4G and 5G Networks
9 pages
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-sa/4.0/
IMSI (International Mobile Subscriber Identity) catchers, also known as "Stingrays" or "cell site simulators," are rogue devices that pose a significant threat to cellular network security [1]. IMSI catchers can intercept and manipulate cellular communications, compromising the privacy and security of mobile devices ...
[ { "created": "Wed, 1 May 2024 18:08:03 GMT", "version": "v1" } ]
2024-05-03
[ [ "Kareem", "Karwan Mustafa", "" ] ]
IMSI (International Mobile Subscriber Identity) catchers, also known as "Stingrays" or "cell site simulators," are rogue devices that pose a significant threat to cellular network security [1]. IMSI catchers can intercept and manipulate cellular communications, compromising the privacy and security of mobile devices an...
1811.11948
Yavuz Yapici
Yavuz Yapici, Ismail Guvenc
Low-Complexity Adaptive Beam and Channel Tracking for Mobile mmWave Communications
Accepted and presented at Asilomar Conference, 2018
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study low-complexity algorithms for beam and channel tracking for millimeter-wave (mmWave) communications. In particular, the least mean squares (LMS) and bidirectional LMS (BiLMS) algorithms are derived for a mobile mmWave transmission scenario, where channel measurement is a nonlinear function of ...
[ { "created": "Thu, 29 Nov 2018 03:55:26 GMT", "version": "v1" }, { "created": "Thu, 20 Dec 2018 15:10:55 GMT", "version": "v2" } ]
2018-12-21
[ [ "Yapici", "Yavuz", "" ], [ "Guvenc", "Ismail", "" ] ]
In this paper, we study low-complexity algorithms for beam and channel tracking for millimeter-wave (mmWave) communications. In particular, the least mean squares (LMS) and bidirectional LMS (BiLMS) algorithms are derived for a mobile mmWave transmission scenario, where channel measurement is a nonlinear function of th...
2312.13116
Haili Ye Mr
Haili Ye, Xiaoqing Zhang, Yan Hu, Huazhu Fu and Jiang Liu
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The morphologies of vessel-like structures, such as blood vessels and nerve fibres, play significant roles in disease diagnosis, e.g., Parkinson's disease. Deep network-based refinement segmentation methods have recently achieved promising vessel-like structure segmentation results. There are still two challenges: (1...
[ { "created": "Wed, 20 Dec 2023 15:36:30 GMT", "version": "v1" } ]
2023-12-21
[ [ "Ye", "Haili", "" ], [ "Zhang", "Xiaoqing", "" ], [ "Hu", "Yan", "" ], [ "Fu", "Huazhu", "" ], [ "Liu", "Jiang", "" ] ]
The morphologies of vessel-like structures, such as blood vessels and nerve fibres, play significant roles in disease diagnosis, e.g., Parkinson's disease. Deep network-based refinement segmentation methods have recently achieved promising vessel-like structure segmentation results. There are still two challenges: (1) ...
2104.04923
Arun Babu
Arun Babu, Akshat Shrivastava, Armen Aghajanyan, Ahmed Aly, Angela Fan and Marjan Ghazvininejad
Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog
null
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Semantic parsing using sequence-to-sequence models allows parsing of deeper representations compared to traditional word tagging based models. In spite of these advantages, widespread adoption of these models for real-time conversational use cases has been stymied by higher compute requirements and thus higher latenc...
[ { "created": "Sun, 11 Apr 2021 05:44:35 GMT", "version": "v1" } ]
2021-04-13
[ [ "Babu", "Arun", "" ], [ "Shrivastava", "Akshat", "" ], [ "Aghajanyan", "Armen", "" ], [ "Aly", "Ahmed", "" ], [ "Fan", "Angela", "" ], [ "Ghazvininejad", "Marjan", "" ] ]
Semantic parsing using sequence-to-sequence models allows parsing of deeper representations compared to traditional word tagging based models. In spite of these advantages, widespread adoption of these models for real-time conversational use cases has been stymied by higher compute requirements and thus higher latency....
1809.00821
Roberto Bagnara
Roberto Bagnara and Abramo Bagnara and Patricia M. Hill
The MISRA C Coding Standard and its Role in the Development and Analysis of Safety- and Security-Critical Embedded Software
19 pages, 1 figure, 2 tables
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The MISRA project started in 1990 with the mission of providing world-leading best practice guidelines for the safe and secure application of both embedded control systems and standalone software. MISRA C is a coding standard defining a subset of the C language, initially targeted at the automotive sector, but now ad...
[ { "created": "Tue, 4 Sep 2018 07:50:30 GMT", "version": "v1" } ]
2018-09-05
[ [ "Bagnara", "Roberto", "" ], [ "Bagnara", "Abramo", "" ], [ "Hill", "Patricia M.", "" ] ]
The MISRA project started in 1990 with the mission of providing world-leading best practice guidelines for the safe and secure application of both embedded control systems and standalone software. MISRA C is a coding standard defining a subset of the C language, initially targeted at the automotive sector, but now adop...
1502.00212
Ahmad Gomaa
Ahmad Gomaa, Louay M.A. Jalloul, Krishna S. Gomadam, Djordje Tujkovic, and Mohammad M. Mansour
Multi-User MIMO Receivers With Partial State Information
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a multi-user multiple-input multiple-output (MU-MIMO) system that uses orthogonal frequency division multiplexing (OFDM). Several receivers are developed for data detection of MU-MIMO transmissions where two users share the same OFDM time and frequency resources. The receivers have partial state informati...
[ { "created": "Sun, 1 Feb 2015 07:58:29 GMT", "version": "v1" } ]
2015-02-03
[ [ "Gomaa", "Ahmad", "" ], [ "Jalloul", "Louay M. A.", "" ], [ "Gomadam", "Krishna S.", "" ], [ "Tujkovic", "Djordje", "" ], [ "Mansour", "Mohammad M.", "" ] ]
We consider a multi-user multiple-input multiple-output (MU-MIMO) system that uses orthogonal frequency division multiplexing (OFDM). Several receivers are developed for data detection of MU-MIMO transmissions where two users share the same OFDM time and frequency resources. The receivers have partial state information...
1804.06451
Ramakanth Pasunuru
Ramakanth Pasunuru, Mohit Bansal
Multi-Reward Reinforced Summarization with Saliency and Entailment
NAACL 2018 (9 pages; added human evaluation and more analysis)
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstractive text summarization is the task of compressing and rewriting a long document into a short summary while maintaining saliency, directed logical entailment, and non-redundancy. In this work, we address these three important aspects of a good summary via a reinforcement learning approach with two novel reward...
[ { "created": "Tue, 17 Apr 2018 19:39:26 GMT", "version": "v1" }, { "created": "Tue, 29 May 2018 14:45:28 GMT", "version": "v2" } ]
2018-05-30
[ [ "Pasunuru", "Ramakanth", "" ], [ "Bansal", "Mohit", "" ] ]
Abstractive text summarization is the task of compressing and rewriting a long document into a short summary while maintaining saliency, directed logical entailment, and non-redundancy. In this work, we address these three important aspects of a good summary via a reinforcement learning approach with two novel reward f...
2301.02561
Qadeer Khan
Dekai Zhu, Qadeer Khan, Daniel Cremers
Multi-Vehicle Trajectory Prediction at Intersections using State and Intention Information
null
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional approaches to prediction of future trajectory of road agents rely on knowing information about their past trajectory. This work rather relies only on having knowledge of the current state and intended direction to make predictions for multiple vehicles at intersections. Furthermore, message passing of thi...
[ { "created": "Fri, 6 Jan 2023 15:13:23 GMT", "version": "v1" } ]
2023-01-09
[ [ "Zhu", "Dekai", "" ], [ "Khan", "Qadeer", "" ], [ "Cremers", "Daniel", "" ] ]
Traditional approaches to prediction of future trajectory of road agents rely on knowing information about their past trajectory. This work rather relies only on having knowledge of the current state and intended direction to make predictions for multiple vehicles at intersections. Furthermore, message passing of this ...
2011.03835
Thibaud De Souza
Thibaud de Souza
Implementing Behavior Trees using Three-Valued Logic
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With consideration to behavior trees and their relevance to planning and control, within and without game development, the distinction between stateful and stateless models is discussed; a three-valued logic bridging traditional control flow with behavior trees is introduced, and a C# implementation is presented.
[ { "created": "Sat, 7 Nov 2020 19:12:01 GMT", "version": "v1" } ]
2020-11-10
[ [ "de Souza", "Thibaud", "" ] ]
With consideration to behavior trees and their relevance to planning and control, within and without game development, the distinction between stateful and stateless models is discussed; a three-valued logic bridging traditional control flow with behavior trees is introduced, and a C# implementation is presented.
2203.06075
Micha\"el Cadilhac
Corentin Barloy and Micha\"el Cadilhac and Charles Paperman and Thomas Zeume
The Regular Languages of First-Order Logic with One Alternation
11 pages + bibliography, submitted to LICS'22
null
null
null
cs.LO cs.FL
http://creativecommons.org/licenses/by/4.0/
The regular languages with a neutral letter expressible in first-order logic with one alternation are characterized. Specifically, it is shown that if an arbitrary $\Sigma_2$ formula defines a regular language with a neutral letter, then there is an equivalent $\Sigma_2$ formula that only uses the order predicate. Th...
[ { "created": "Fri, 11 Mar 2022 16:53:25 GMT", "version": "v1" } ]
2022-03-14
[ [ "Barloy", "Corentin", "" ], [ "Cadilhac", "Michaël", "" ], [ "Paperman", "Charles", "" ], [ "Zeume", "Thomas", "" ] ]
The regular languages with a neutral letter expressible in first-order logic with one alternation are characterized. Specifically, it is shown that if an arbitrary $\Sigma_2$ formula defines a regular language with a neutral letter, then there is an equivalent $\Sigma_2$ formula that only uses the order predicate. This...
2107.04749
Mohammad Nayeem Teli
Mohammad Nayeem Teli and Seungwon Oh
Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations
null
2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2021, pp. 1-6
10.1109/IEMTRONICS52119.2021.9422616
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Due to the vulnerability of deep neural networks to adversarial examples, numerous works on adversarial attacks and defenses have been burgeoning over the past several years. However, there seem to be some conventional views regarding adversarial attacks and object detection approaches that most researchers take for ...
[ { "created": "Sat, 10 Jul 2021 03:40:25 GMT", "version": "v1" } ]
2021-07-13
[ [ "Teli", "Mohammad Nayeem", "" ], [ "Oh", "Seungwon", "" ] ]
Due to the vulnerability of deep neural networks to adversarial examples, numerous works on adversarial attacks and defenses have been burgeoning over the past several years. However, there seem to be some conventional views regarding adversarial attacks and object detection approaches that most researchers take for gr...
2208.11167
Li Ding
Li Ding, Lee Spector
Evolutionary Quantum Architecture Search for Parametrized Quantum Circuits
null
Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion (pp. 2190-2195)
10.3390/e25010093
null
cs.NE quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advancements in quantum computing have shown promising computational advantages in many problem areas. As one of those areas with increasing attention, hybrid quantum-classical machine learning systems have demonstrated the capability to solve various data-driven learning tasks. Recent works show that paramete...
[ { "created": "Tue, 23 Aug 2022 19:47:37 GMT", "version": "v1" } ]
2023-01-18
[ [ "Ding", "Li", "" ], [ "Spector", "Lee", "" ] ]
Recent advancements in quantum computing have shown promising computational advantages in many problem areas. As one of those areas with increasing attention, hybrid quantum-classical machine learning systems have demonstrated the capability to solve various data-driven learning tasks. Recent works show that parameteri...
2008.12114
Rafael Morales Gamboa
Rafael Morales-Gamboa, L. Enrique Sucar
Competence-Based Student Modelling with Dynamic Bayesian Networks
Artificial Intelligence Applied to Education. 22 pages, 9 tables, 9 figures. Submitted for review
null
null
null
cs.CY cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a general method for using a competences map, created by defining generalization/specialization and inclusion/part-of relationships between competences, in order to build an overlay student model in the form of a dynamic Bayesian network in which conditional probability distributions are defined per relati...
[ { "created": "Fri, 21 Aug 2020 22:08:04 GMT", "version": "v1" } ]
2020-08-28
[ [ "Morales-Gamboa", "Rafael", "" ], [ "Sucar", "L. Enrique", "" ] ]
We present a general method for using a competences map, created by defining generalization/specialization and inclusion/part-of relationships between competences, in order to build an overlay student model in the form of a dynamic Bayesian network in which conditional probability distributions are defined per relation...
2204.05476
Amir Mosavi Prof
Weibin Chen, Danial Sharifrazi, Guoxi Liang, Shahab S. Band, Kwok Wing Chau, Amir Mosavi
Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit
28 pages, 7 figures
Engineering Applications of Computational Fluid Mechanics, 2022
10.1080/19942060.2022.2053786
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Streamlined weirs which are a nature-inspired type of weir have gained tremendous attention among hydraulic engineers, mainly owing to their established performance with high discharge coefficients. Computational fluid dynamics (CFD) is considered as a robust tool to predict the discharge coefficient. To bypass the c...
[ { "created": "Tue, 12 Apr 2022 01:59:36 GMT", "version": "v1" } ]
2022-04-13
[ [ "Chen", "Weibin", "" ], [ "Sharifrazi", "Danial", "" ], [ "Liang", "Guoxi", "" ], [ "Band", "Shahab S.", "" ], [ "Chau", "Kwok Wing", "" ], [ "Mosavi", "Amir", "" ] ]
Streamlined weirs which are a nature-inspired type of weir have gained tremendous attention among hydraulic engineers, mainly owing to their established performance with high discharge coefficients. Computational fluid dynamics (CFD) is considered as a robust tool to predict the discharge coefficient. To bypass the com...
2112.06146
Cong Sun
Cong Sun, Xinpeng Xu, Yafei Wu, Dongrui Zeng, Gang Tan, Siqi Ma, Peicheng Wang
CryptoEval: Evaluating the Risk of Cryptographic Misuses in Android Apps with Data-Flow Analysis
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The misunderstanding and incorrect configurations of cryptographic primitives have exposed severe security vulnerabilities to attackers. Due to the pervasiveness and diversity of cryptographic misuses, a comprehensive and accurate understanding of how cryptographic misuses can undermine the security of an Android app...
[ { "created": "Sun, 12 Dec 2021 04:39:22 GMT", "version": "v1" }, { "created": "Sat, 13 May 2023 16:22:32 GMT", "version": "v2" } ]
2023-05-16
[ [ "Sun", "Cong", "" ], [ "Xu", "Xinpeng", "" ], [ "Wu", "Yafei", "" ], [ "Zeng", "Dongrui", "" ], [ "Tan", "Gang", "" ], [ "Ma", "Siqi", "" ], [ "Wang", "Peicheng", "" ] ]
The misunderstanding and incorrect configurations of cryptographic primitives have exposed severe security vulnerabilities to attackers. Due to the pervasiveness and diversity of cryptographic misuses, a comprehensive and accurate understanding of how cryptographic misuses can undermine the security of an Android app i...
2303.05620
Shoukun Sun
Shoukun Sun, Min Xian, Fei Xu, Luca Capriotti, Tiankai Yao
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The click-based interactive segmentation aims to extract the object of interest from an image with the guidance of user clicks. Recent work has achieved great overall performance by employing feedback from the output. However, in most state-of-the-art approaches, 1) the inference stage involves inflexible heuristic r...
[ { "created": "Thu, 9 Mar 2023 23:20:35 GMT", "version": "v1" }, { "created": "Mon, 4 Mar 2024 23:05:40 GMT", "version": "v2" } ]
2024-03-06
[ [ "Sun", "Shoukun", "" ], [ "Xian", "Min", "" ], [ "Xu", "Fei", "" ], [ "Capriotti", "Luca", "" ], [ "Yao", "Tiankai", "" ] ]
The click-based interactive segmentation aims to extract the object of interest from an image with the guidance of user clicks. Recent work has achieved great overall performance by employing feedback from the output. However, in most state-of-the-art approaches, 1) the inference stage involves inflexible heuristic rul...
2311.00888
Ignacio Garc\'ia-Fern\'andez
Pau Romero, Abel Pedr\'os, Rafael Sebastian, Miguel Lozano, Ignacio Garc\'ia-Fern\'andez
A robust shape model for blood vessels analysis
null
null
null
null
cs.CE physics.med-ph
http://creativecommons.org/licenses/by-nc-nd/4.0/
The availability of digital twins for the cardiovascular system will enable insightful computational tools both for research and clinical practice. This, however, demands robust and well defined models and methods for the different steps involved in the process. We present a vessel coordinate system (VCS) that enable...
[ { "created": "Wed, 1 Nov 2023 22:44:36 GMT", "version": "v1" }, { "created": "Fri, 23 Feb 2024 16:09:25 GMT", "version": "v2" } ]
2024-02-26
[ [ "Romero", "Pau", "" ], [ "Pedrós", "Abel", "" ], [ "Sebastian", "Rafael", "" ], [ "Lozano", "Miguel", "" ], [ "García-Fernández", "Ignacio", "" ] ]
The availability of digital twins for the cardiovascular system will enable insightful computational tools both for research and clinical practice. This, however, demands robust and well defined models and methods for the different steps involved in the process. We present a vessel coordinate system (VCS) that enables ...
2310.08070
Xin Lyu
Xin Lyu, Avishay Tal, Hongxun Wu, Junzhao Yang
Tight Time-Space Lower Bounds for Constant-Pass Learning
To appear at FOCS 2023
null
null
null
cs.LG cs.CC
http://creativecommons.org/licenses/by/4.0/
In his breakthrough paper, Raz showed that any parity learning algorithm requires either quadratic memory or an exponential number of samples [FOCS'16, JACM'19]. A line of work that followed extended this result to a large class of learning problems. Until recently, all these results considered learning in the stream...
[ { "created": "Thu, 12 Oct 2023 06:36:31 GMT", "version": "v1" } ]
2023-10-13
[ [ "Lyu", "Xin", "" ], [ "Tal", "Avishay", "" ], [ "Wu", "Hongxun", "" ], [ "Yang", "Junzhao", "" ] ]
In his breakthrough paper, Raz showed that any parity learning algorithm requires either quadratic memory or an exponential number of samples [FOCS'16, JACM'19]. A line of work that followed extended this result to a large class of learning problems. Until recently, all these results considered learning in the streamin...
0804.3615
Jarek Duda
Jarek Duda
Combinatorial invariants for graph isomorphism problem
null
null
null
null
cs.CC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Presented approach in polynomial time calculates large number of invariants for each vertex, which won't change with graph isomorphism and should fully determine the graph. For example numbers of closed paths of length k for given starting vertex, what can be though as the diagonal terms of k-th power of the adjacenc...
[ { "created": "Tue, 22 Apr 2008 22:16:46 GMT", "version": "v1" }, { "created": "Wed, 23 Apr 2008 21:54:08 GMT", "version": "v2" }, { "created": "Fri, 9 May 2008 07:09:06 GMT", "version": "v3" }, { "created": "Mon, 19 May 2008 14:20:36 GMT", "version": "v4" } ]
2008-05-19
[ [ "Duda", "Jarek", "" ] ]
Presented approach in polynomial time calculates large number of invariants for each vertex, which won't change with graph isomorphism and should fully determine the graph. For example numbers of closed paths of length k for given starting vertex, what can be though as the diagonal terms of k-th power of the adjacency ...
0904.2584
Jose Avelino Manzano Lizcano
J. A. Manzano Lizcano, S. A. Jaramillo Florez
New technologies for high speed computer networks: a wavelet approach
in spanish, 13 pages, associated research in http://www.airenatural.com; Published in Revista AIELEC de la Universidad Pontificia Bolivariana. 2001
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Indoor multpropagation channel is modeled by the Kaiser electromagnetic wavelet. A method for channel characterization is proposed by modeling all the reflections of indoor propagation in a kernel function instead of its impulse response. This lead us to consider a fractal modulation scheme in which Kaiser wavelets s...
[ { "created": "Thu, 16 Apr 2009 20:48:43 GMT", "version": "v1" } ]
2009-04-20
[ [ "Lizcano", "J. A. Manzano", "" ], [ "Florez", "S. A. Jaramillo", "" ] ]
Indoor multpropagation channel is modeled by the Kaiser electromagnetic wavelet. A method for channel characterization is proposed by modeling all the reflections of indoor propagation in a kernel function instead of its impulse response. This lead us to consider a fractal modulation scheme in which Kaiser wavelets sub...
2211.09013
Ziwen Liu
Ziwen Liu, Bonan Li, Congying Han, Tiande Guo, Xuecheng Nie
Masked Reconstruction Contrastive Learning with Information Bottleneck Principle
null
null
null
null
cs.CV cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Contrastive learning (CL) has shown great power in self-supervised learning due to its ability to capture insight correlations among large-scale data. Current CL models are biased to learn only the ability to discriminate positive and negative pairs due to the discriminative task setting. However, this bias would lea...
[ { "created": "Tue, 15 Nov 2022 15:20:52 GMT", "version": "v1" } ]
2022-11-17
[ [ "Liu", "Ziwen", "" ], [ "Li", "Bonan", "" ], [ "Han", "Congying", "" ], [ "Guo", "Tiande", "" ], [ "Nie", "Xuecheng", "" ] ]
Contrastive learning (CL) has shown great power in self-supervised learning due to its ability to capture insight correlations among large-scale data. Current CL models are biased to learn only the ability to discriminate positive and negative pairs due to the discriminative task setting. However, this bias would lead ...
1504.03077
Guan Gui Dr.
Beiyi Liu, Guan Gui and Li Xu
Iterative-Promoting Variable Step-size Least Mean Square Algorithm For Adaptive Sparse Channel Estimation
6 pages, 10 figures, submitted for APCC2015
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Least mean square (LMS) type adaptive algorithms have attracted much attention due to their low computational complexity. In the scenarios of sparse channel estimation, zero-attracting LMS (ZA-LMS), reweighted ZA-LMS (RZA-LMS) and reweighted -norm LMS (RL1-LMS) have been proposed to exploit channel sparsity. However,...
[ { "created": "Mon, 13 Apr 2015 07:06:04 GMT", "version": "v1" } ]
2015-04-14
[ [ "Liu", "Beiyi", "" ], [ "Gui", "Guan", "" ], [ "Xu", "Li", "" ] ]
Least mean square (LMS) type adaptive algorithms have attracted much attention due to their low computational complexity. In the scenarios of sparse channel estimation, zero-attracting LMS (ZA-LMS), reweighted ZA-LMS (RZA-LMS) and reweighted -norm LMS (RL1-LMS) have been proposed to exploit channel sparsity. However, t...
2311.12610
Soumadeep Saha
Soumadeep Saha, Saptarshi Saha, Utpal Garain
VALUED -- Vision and Logical Understanding Evaluation Dataset
null
Journal of Data-centric Machine Learning Research (DMLR). July 27, 2024
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Starting with early successes in computer vision tasks, deep learning based techniques have since overtaken state of the art approaches in a multitude of domains. However, it has been demonstrated time and again that these techniques fail to capture semantic context and logical constraints, instead often relying on s...
[ { "created": "Tue, 21 Nov 2023 13:52:31 GMT", "version": "v1" }, { "created": "Tue, 6 Feb 2024 19:49:11 GMT", "version": "v2" } ]
2024-08-02
[ [ "Saha", "Soumadeep", "" ], [ "Saha", "Saptarshi", "" ], [ "Garain", "Utpal", "" ] ]
Starting with early successes in computer vision tasks, deep learning based techniques have since overtaken state of the art approaches in a multitude of domains. However, it has been demonstrated time and again that these techniques fail to capture semantic context and logical constraints, instead often relying on spu...
2403.02931
Mykola Makhortykh
Silke Adam, Mykola Makhortykh, Michaela Maier, Viktor Aigenseer, Aleksandra Urman, Teresa Gil Lopez, Clara Christner, Ernesto de Le\'on, Roberto Ulloa
Improving the quality of individual-level online information tracking: challenges of existing approaches and introduction of a new content- and long-tail sensitive academic solution
73 pages
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
This article evaluates the quality of data collection in individual-level desktop information tracking used in the social sciences and shows that the existing approaches face sampling issues, validity issues due to the lack of content-level data and their disregard of the variety of devices and long-tail consumption ...
[ { "created": "Tue, 5 Mar 2024 12:49:25 GMT", "version": "v1" } ]
2024-03-06
[ [ "Adam", "Silke", "" ], [ "Makhortykh", "Mykola", "" ], [ "Maier", "Michaela", "" ], [ "Aigenseer", "Viktor", "" ], [ "Urman", "Aleksandra", "" ], [ "Lopez", "Teresa Gil", "" ], [ "Christner", "Clara", "" ...
This article evaluates the quality of data collection in individual-level desktop information tracking used in the social sciences and shows that the existing approaches face sampling issues, validity issues due to the lack of content-level data and their disregard of the variety of devices and long-tail consumption pa...
2405.04323
Moritz M\"oller
Alexandra Gobrecht, Felix Tuma, Moritz M\"oller, Thomas Z\"oller, Mark Zakhvatkin, Alexandra Wuttig, Holger Sommerfeldt and Sven Sch\"utt
Beyond human subjectivity and error: a novel AI grading system
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The grading of open-ended questions is a high-effort, high-impact task in education. Automating this task promises a significant reduction in workload for education professionals, as well as more consistent grading outcomes for students, by circumventing human subjectivity and error. While recent breakthroughs in AI ...
[ { "created": "Tue, 7 May 2024 13:49:59 GMT", "version": "v1" } ]
2024-05-08
[ [ "Gobrecht", "Alexandra", "" ], [ "Tuma", "Felix", "" ], [ "Möller", "Moritz", "" ], [ "Zöller", "Thomas", "" ], [ "Zakhvatkin", "Mark", "" ], [ "Wuttig", "Alexandra", "" ], [ "Sommerfeldt", "Holger", "" ]...
The grading of open-ended questions is a high-effort, high-impact task in education. Automating this task promises a significant reduction in workload for education professionals, as well as more consistent grading outcomes for students, by circumventing human subjectivity and error. While recent breakthroughs in AI te...
1108.3198
Jiyou Li
Jiyou Li
On the average sensitivity of laced Boolean functions
8 pages
null
null
null
cs.IT math.CO math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we obtain the average sensitivity of the laced Boolean functions. This confirms a conjecture of Shparlinski. We also compute the weights of the laced Boolean functions and show that they are almost balanced.
[ { "created": "Tue, 16 Aug 2011 10:12:31 GMT", "version": "v1" }, { "created": "Thu, 18 Aug 2011 07:45:30 GMT", "version": "v2" } ]
2011-08-24
[ [ "Li", "Jiyou", "" ] ]
In this paper we obtain the average sensitivity of the laced Boolean functions. This confirms a conjecture of Shparlinski. We also compute the weights of the laced Boolean functions and show that they are almost balanced.
1909.00319
Guizhong Liu
Han Wu, Xueyuan Yang, Yong Yang, Guizhong Liu
Flow Guided Short-term Trackers with Cascade Detection for Long-term Tracking
null
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Object tracking has been studied for decades, but most of the existing works are focused on the short-term tracking. For a long sequence, the object is often fully occluded or out of view for a long time, and existing short-term object tracking algorithms often lose the target, and it is difficult to re-catch the tar...
[ { "created": "Sun, 1 Sep 2019 04:06:42 GMT", "version": "v1" } ]
2019-09-04
[ [ "Wu", "Han", "" ], [ "Yang", "Xueyuan", "" ], [ "Yang", "Yong", "" ], [ "Liu", "Guizhong", "" ] ]
Object tracking has been studied for decades, but most of the existing works are focused on the short-term tracking. For a long sequence, the object is often fully occluded or out of view for a long time, and existing short-term object tracking algorithms often lose the target, and it is difficult to re-catch the targe...
2402.18502
Garima Chhikara
Garima Chhikara, Anurag Sharma, Kripabandhu Ghosh, Abhijnan Chakraborty
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification
Under review
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Employing Large Language Models (LLM) in various downstream applications such as classification is crucial, especially for smaller companies lacking the expertise and resources required for fine-tuning a model. Fairness in LLMs helps ensure inclusivity, equal representation based on factors such as race, gender and p...
[ { "created": "Wed, 28 Feb 2024 17:29:27 GMT", "version": "v1" } ]
2024-02-29
[ [ "Chhikara", "Garima", "" ], [ "Sharma", "Anurag", "" ], [ "Ghosh", "Kripabandhu", "" ], [ "Chakraborty", "Abhijnan", "" ] ]
Employing Large Language Models (LLM) in various downstream applications such as classification is crucial, especially for smaller companies lacking the expertise and resources required for fine-tuning a model. Fairness in LLMs helps ensure inclusivity, equal representation based on factors such as race, gender and pro...
2109.11393
Shen Zhengwen
Zhengwen Shen, Jun Wang, Zaiyu Pan, Yulian Li, Jiangyu Wang
Cross Attention-guided Dense Network for Images Fusion
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In recent years, various applications in computer vision have achieved substantial progress based on deep learning, which has been widely used for image fusion and shown to achieve adequate performance. However, suffering from limited ability in modeling the spatial correspondence of different source images, it still...
[ { "created": "Thu, 23 Sep 2021 14:22:47 GMT", "version": "v1" }, { "created": "Sun, 14 Aug 2022 14:45:13 GMT", "version": "v2" } ]
2022-08-16
[ [ "Shen", "Zhengwen", "" ], [ "Wang", "Jun", "" ], [ "Pan", "Zaiyu", "" ], [ "Li", "Yulian", "" ], [ "Wang", "Jiangyu", "" ] ]
In recent years, various applications in computer vision have achieved substantial progress based on deep learning, which has been widely used for image fusion and shown to achieve adequate performance. However, suffering from limited ability in modeling the spatial correspondence of different source images, it still r...
1612.01746
Peter Karkus
Peter Karkus, Andras Kupcsik, David Hsu, Wee Sun Lee
Factored Contextual Policy Search with Bayesian Optimization
BayesOpt 2016, NeurIPS Workshop. A full paper extension is available at arXiv:1904.11761
null
null
null
cs.LG cs.AI cs.RO stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scarce data is a major challenge to scaling robot learning to truly complex tasks, as we need to generalize locally learned policies over different "contexts". Bayesian optimization approaches to contextual policy search (CPS) offer data-efficient policy learning that generalize over a context space. We propose to im...
[ { "created": "Tue, 6 Dec 2016 10:51:51 GMT", "version": "v1" }, { "created": "Tue, 28 May 2019 04:08:29 GMT", "version": "v2" } ]
2019-05-29
[ [ "Karkus", "Peter", "" ], [ "Kupcsik", "Andras", "" ], [ "Hsu", "David", "" ], [ "Lee", "Wee Sun", "" ] ]
Scarce data is a major challenge to scaling robot learning to truly complex tasks, as we need to generalize locally learned policies over different "contexts". Bayesian optimization approaches to contextual policy search (CPS) offer data-efficient policy learning that generalize over a context space. We propose to impr...
2004.06947
Georg Steinbuss
Georg Steinbuss and Klemens B\"ohm
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data
null
null
10.1145/3441453
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Benchmarking unsupervised outlier detection is difficult. Outliers are rare, and existing benchmark data contains outliers with various and unknown characteristics. Fully synthetic data usually consists of outliers and regular instance with clear characteristics and thus allows for a more meaningful evaluation of det...
[ { "created": "Wed, 15 Apr 2020 08:55:47 GMT", "version": "v1" } ]
2021-05-07
[ [ "Steinbuss", "Georg", "" ], [ "Böhm", "Klemens", "" ] ]
Benchmarking unsupervised outlier detection is difficult. Outliers are rare, and existing benchmark data contains outliers with various and unknown characteristics. Fully synthetic data usually consists of outliers and regular instance with clear characteristics and thus allows for a more meaningful evaluation of detec...
1911.09676
Deepak Pathak
Pratyusha Sharma, Deepak Pathak, Abhinav Gupta
Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller
Accepted at NeurIPS 2019. Videos at https://pathak22.github.io/hierarchical-imitation/
null
null
null
cs.LG cs.CV cs.RO stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study a generalized setup for learning from demonstration to build an agent that can manipulate novel objects in unseen scenarios by looking at only a single video of human demonstration from a third-person perspective. To accomplish this goal, our agent should not only learn to understand the intent of the demons...
[ { "created": "Thu, 21 Nov 2019 18:59:29 GMT", "version": "v1" } ]
2019-11-22
[ [ "Sharma", "Pratyusha", "" ], [ "Pathak", "Deepak", "" ], [ "Gupta", "Abhinav", "" ] ]
We study a generalized setup for learning from demonstration to build an agent that can manipulate novel objects in unseen scenarios by looking at only a single video of human demonstration from a third-person perspective. To accomplish this goal, our agent should not only learn to understand the intent of the demonstr...
1612.04208
Yijie Han
Yijie Han
An $O(n^2\log^4 n \log \log n)$ Time Matrix Multiplication Algorithm
I firmly believe that this is the right version
null
null
null
cs.DS
http://creativecommons.org/licenses/by-nc-nd/4.0/
We show, for the input vectors $(a_0, a_1, ..., a_{n-1})$ and $(b_0, b_1, ..., b_{n-1})$, where $a_i$'s and $b_j$'s are real numbers, after $O(n\log^4 n)$ time preprocessing for each of them, the vector multiplication $(a_0, a_1, ..., a_{n-1})(b_0, b_1, ..., b_{n-1})^T $ can be computed in $O(\log^4 n \log \log n)$ t...
[ { "created": "Sat, 10 Dec 2016 21:53:22 GMT", "version": "v1" }, { "created": "Tue, 17 Sep 2019 23:02:55 GMT", "version": "v10" }, { "created": "Sun, 12 Apr 2020 19:00:39 GMT", "version": "v11" }, { "created": "Sun, 3 May 2020 16:45:07 GMT", "version": "v12" }, { ...
2023-07-11
[ [ "Han", "Yijie", "" ] ]
We show, for the input vectors $(a_0, a_1, ..., a_{n-1})$ and $(b_0, b_1, ..., b_{n-1})$, where $a_i$'s and $b_j$'s are real numbers, after $O(n\log^4 n)$ time preprocessing for each of them, the vector multiplication $(a_0, a_1, ..., a_{n-1})(b_0, b_1, ..., b_{n-1})^T $ can be computed in $O(\log^4 n \log \log n)$ tim...
2103.00465
Giovanni Denaro
Matteo Brunetto, Giovanni Denaro, Leonardo Mariani, Mauro Pezz\`e
On Introducing Automatic Test Case Generation in Practice: A Success Story and Lessons Learned
null
null
null
null
cs.SE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The level and quality of automation dramatically affects software testing activities, determines costs and effectiveness of the testing process, and largely impacts on the quality of the final product. While costs and benefits of automating many testing activities in industrial practice (including managing the qualit...
[ { "created": "Sun, 28 Feb 2021 11:31:50 GMT", "version": "v1" } ]
2021-03-02
[ [ "Brunetto", "Matteo", "" ], [ "Denaro", "Giovanni", "" ], [ "Mariani", "Leonardo", "" ], [ "Pezzè", "Mauro", "" ] ]
The level and quality of automation dramatically affects software testing activities, determines costs and effectiveness of the testing process, and largely impacts on the quality of the final product. While costs and benefits of automating many testing activities in industrial practice (including managing the quality ...
2402.06304
Nicolas Michael M\"uller
Nicolas M. M\"uller, Piotr Kawa, Shen Hu, Matthias Neu, Jennifer Williams, Philip Sperl, Konstantin B\"ottinger
A New Approach to Voice Authenticity
null
null
null
null
cs.SD cs.AI eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Voice faking, driven primarily by recent advances in text-to-speech (TTS) synthesis technology, poses significant societal challenges. Currently, the prevailing assumption is that unaltered human speech can be considered genuine, while fake speech comes from TTS synthesis. We argue that this binary distinction is ove...
[ { "created": "Fri, 9 Feb 2024 10:34:01 GMT", "version": "v1" } ]
2024-02-12
[ [ "Müller", "Nicolas M.", "" ], [ "Kawa", "Piotr", "" ], [ "Hu", "Shen", "" ], [ "Neu", "Matthias", "" ], [ "Williams", "Jennifer", "" ], [ "Sperl", "Philip", "" ], [ "Böttinger", "Konstantin", "" ] ]
Voice faking, driven primarily by recent advances in text-to-speech (TTS) synthesis technology, poses significant societal challenges. Currently, the prevailing assumption is that unaltered human speech can be considered genuine, while fake speech comes from TTS synthesis. We argue that this binary distinction is overs...
1903.02044
Ryan De Iaco
Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki
Learning a Lattice Planner Control Set for Autonomous Vehicles
Accepted to the 2019 IEEE Intelligent Vehicles Symposium
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a method to compute a sparse lattice planner control set that is suited to a particular task by learning from a representative dataset of vehicle paths. To do this, we use a scoring measure similar to the Fr\'echet distance and propose an algorithm for evaluating a given control set according to...
[ { "created": "Tue, 5 Mar 2019 20:36:03 GMT", "version": "v1" }, { "created": "Thu, 25 Apr 2019 17:08:17 GMT", "version": "v2" } ]
2019-04-26
[ [ "De Iaco", "Ryan", "" ], [ "Smith", "Stephen L.", "" ], [ "Czarnecki", "Krzysztof", "" ] ]
This paper introduces a method to compute a sparse lattice planner control set that is suited to a particular task by learning from a representative dataset of vehicle paths. To do this, we use a scoring measure similar to the Fr\'echet distance and propose an algorithm for evaluating a given control set according to t...
2206.09122
Marin Matsumoto
Marin Matsumoto, Tsubasa Takahashi, Seng Pei Liew, Masato Oguchi
Measuring Lower Bounds of Local Differential Privacy via Adversary Instantiations in Federated Learning
15 pages, 7 figures
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Local differential privacy (LDP) gives a strong privacy guarantee to be used in a distributed setting like federated learning (FL). LDP mechanisms in FL protect a client's gradient by randomizing it on the client; however, how can we interpret the privacy level given by the randomization? Moreover, what types of atta...
[ { "created": "Sat, 18 Jun 2022 05:44:36 GMT", "version": "v1" } ]
2022-06-22
[ [ "Matsumoto", "Marin", "" ], [ "Takahashi", "Tsubasa", "" ], [ "Liew", "Seng Pei", "" ], [ "Oguchi", "Masato", "" ] ]
Local differential privacy (LDP) gives a strong privacy guarantee to be used in a distributed setting like federated learning (FL). LDP mechanisms in FL protect a client's gradient by randomizing it on the client; however, how can we interpret the privacy level given by the randomization? Moreover, what types of attack...
2002.08288
Kartik Suryavanshi Mr.
Kartik Suryavanshi, Rama Vadapalli, Praharsha Budharaja, Abhishek Sarkar, Madhava Krishna
Omnidirectional Three Module Robot Design and Simulation
6 Pages accepted in ICAR 2019 (withdrawn), submitted and accepted in ICCR 2019
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces the Omnidirectional Tractable Three Module Robot for traversing inside complex pipe networks. The robot consists of three omnidirectional modules fixed 120{\deg} apart circumferentially which can rotate about their axis allowing holonomic motion of the robot. Holonomic motion enables the robot t...
[ { "created": "Wed, 19 Feb 2020 17:01:52 GMT", "version": "v1" } ]
2020-02-20
[ [ "Suryavanshi", "Kartik", "" ], [ "Vadapalli", "Rama", "" ], [ "Budharaja", "Praharsha", "" ], [ "Sarkar", "Abhishek", "" ], [ "Krishna", "Madhava", "" ] ]
This paper introduces the Omnidirectional Tractable Three Module Robot for traversing inside complex pipe networks. The robot consists of three omnidirectional modules fixed 120{\deg} apart circumferentially which can rotate about their axis allowing holonomic motion of the robot. Holonomic motion enables the robot to ...
1411.0237
Mordechai Guri
Mordechai Guri, Gabi Kedma, Assaf Kachlon, Yuval Elovici
AirHopper: Bridging the Air-Gap between Isolated Networks and Mobile Phones using Radio Frequencies
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Information is the most critical asset of modern organizations, and accordingly coveted by adversaries. When highly sensitive data is involved, an organization may resort to air-gap isolation, in which there is no networking connection between the inner network and the external world. While infiltrating an air-gapped...
[ { "created": "Sun, 2 Nov 2014 10:20:30 GMT", "version": "v1" } ]
2014-11-04
[ [ "Guri", "Mordechai", "" ], [ "Kedma", "Gabi", "" ], [ "Kachlon", "Assaf", "" ], [ "Elovici", "Yuval", "" ] ]
Information is the most critical asset of modern organizations, and accordingly coveted by adversaries. When highly sensitive data is involved, an organization may resort to air-gap isolation, in which there is no networking connection between the inner network and the external world. While infiltrating an air-gapped n...
2003.03519
Hanting Chen
Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu
Distilling portable Generative Adversarial Networks for Image Translation
null
AAAI 2020
null
null
cs.CV cs.LG eess.IV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite Generative Adversarial Networks (GANs) have been widely used in various image-to-image translation tasks, they can be hardly applied on mobile devices due to their heavy computation and storage cost. Traditional network compression methods focus on visually recognition tasks, but never deal with generation ta...
[ { "created": "Sat, 7 Mar 2020 05:53:01 GMT", "version": "v1" } ]
2020-03-10
[ [ "Chen", "Hanting", "" ], [ "Wang", "Yunhe", "" ], [ "Shu", "Han", "" ], [ "Wen", "Changyuan", "" ], [ "Xu", "Chunjing", "" ], [ "Shi", "Boxin", "" ], [ "Xu", "Chao", "" ], [ "Xu", "Chang", "...
Despite Generative Adversarial Networks (GANs) have been widely used in various image-to-image translation tasks, they can be hardly applied on mobile devices due to their heavy computation and storage cost. Traditional network compression methods focus on visually recognition tasks, but never deal with generation task...
2103.00871
Phong Tran
Phong Tran, Anh Tran, Thao Nguyen, Minh Hoai
FineNet: Frame Interpolation and Enhancement for Face Video Deblurring
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The objective of this work is to deblur face videos. We propose a method that tackles this problem from two directions: (1) enhancing the blurry frames, and (2) treating the blurry frames as missing values and estimate them by interpolation. These approaches are complementary to each other, and their combination outp...
[ { "created": "Mon, 1 Mar 2021 09:47:16 GMT", "version": "v1" } ]
2021-03-02
[ [ "Tran", "Phong", "" ], [ "Tran", "Anh", "" ], [ "Nguyen", "Thao", "" ], [ "Hoai", "Minh", "" ] ]
The objective of this work is to deblur face videos. We propose a method that tackles this problem from two directions: (1) enhancing the blurry frames, and (2) treating the blurry frames as missing values and estimate them by interpolation. These approaches are complementary to each other, and their combination outper...
1810.08676
Kommy Weldemariam Dr
Skyler Speakman, Srihari Sridharan, Sekou Remy, Komminist Weldemariam, Edward McFowland
Subset Scanning Over Neural Network Activations
null
null
null
null
cs.LG cs.AI stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
This work views neural networks as data generating systems and applies anomalous pattern detection techniques on that data in order to detect when a network is processing an anomalous input. Detecting anomalies is a critical component for multiple machine learning problems including detecting adversarial noise. More ...
[ { "created": "Fri, 19 Oct 2018 20:22:53 GMT", "version": "v1" } ]
2018-10-23
[ [ "Speakman", "Skyler", "" ], [ "Sridharan", "Srihari", "" ], [ "Remy", "Sekou", "" ], [ "Weldemariam", "Komminist", "" ], [ "McFowland", "Edward", "" ] ]
This work views neural networks as data generating systems and applies anomalous pattern detection techniques on that data in order to detect when a network is processing an anomalous input. Detecting anomalies is a critical component for multiple machine learning problems including detecting adversarial noise. More br...
2403.00861
Yuan Wang
Yuan Wang, Lokesh Kumar Sambasivan, Mingang Fu, Prakhar Mehrotra
Pivoting Retail Supply Chain with Deep Generative Techniques: Taxonomy, Survey and Insights
null
null
null
null
cs.AI cs.LG
http://creativecommons.org/publicdomain/zero/1.0/
Generative AI applications, such as ChatGPT or DALL-E, have shown the world their impressive capabilities in generating human-like text or image. Diving deeper, the science stakeholder for those AI applications are Deep Generative Models, a.k.a DGMs, which are designed to learn the underlying distribution of the data...
[ { "created": "Thu, 29 Feb 2024 21:03:46 GMT", "version": "v1" } ]
2024-03-05
[ [ "Wang", "Yuan", "" ], [ "Sambasivan", "Lokesh Kumar", "" ], [ "Fu", "Mingang", "" ], [ "Mehrotra", "Prakhar", "" ] ]
Generative AI applications, such as ChatGPT or DALL-E, have shown the world their impressive capabilities in generating human-like text or image. Diving deeper, the science stakeholder for those AI applications are Deep Generative Models, a.k.a DGMs, which are designed to learn the underlying distribution of the data a...
2407.06174
Changyeon Lee
Hannah Lee, Changyeon Lee, Kevin Farhat, Lin Qiu, Steve Geluso, Aerin Kim, Oren Etzioni
The Tug-of-War Between Deepfake Generation and Detection
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Multimodal generative models are rapidly evolving, leading to a surge in the generation of realistic video and audio that offers exciting possibilities but also serious risks. Deepfake videos, which can convincingly impersonate individuals, have particularly garnered attention due to their potential misuse in spreadi...
[ { "created": "Mon, 8 Jul 2024 17:49:41 GMT", "version": "v1" }, { "created": "Fri, 19 Jul 2024 19:13:19 GMT", "version": "v2" }, { "created": "Fri, 26 Jul 2024 01:09:35 GMT", "version": "v3" } ]
2024-07-29
[ [ "Lee", "Hannah", "" ], [ "Lee", "Changyeon", "" ], [ "Farhat", "Kevin", "" ], [ "Qiu", "Lin", "" ], [ "Geluso", "Steve", "" ], [ "Kim", "Aerin", "" ], [ "Etzioni", "Oren", "" ] ]
Multimodal generative models are rapidly evolving, leading to a surge in the generation of realistic video and audio that offers exciting possibilities but also serious risks. Deepfake videos, which can convincingly impersonate individuals, have particularly garnered attention due to their potential misuse in spreading...
2102.00567
Hassan Moussa Mr
Hassan Moussa
Using Recursive KMeans and Dijkstra Algorithm to Solve CVRP
null
null
10.13140/RG.2.2.20970.85447
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Capacitated vehicle routing problem (CVRP) is being one of the most common optimization problems in our days, considering the wide usage of routing algorithms in multiple fields such as transportation domain, food delivery, network routing, ... Capacitated vehicle routing problem is classified as an NP-Hard problem, ...
[ { "created": "Mon, 1 Feb 2021 00:03:03 GMT", "version": "v1" } ]
2021-12-28
[ [ "Moussa", "Hassan", "" ] ]
Capacitated vehicle routing problem (CVRP) is being one of the most common optimization problems in our days, considering the wide usage of routing algorithms in multiple fields such as transportation domain, food delivery, network routing, ... Capacitated vehicle routing problem is classified as an NP-Hard problem, he...
2103.12532
Quentin Jodelet
Quentin Jodelet, Xin Liu and Tsuyoshi Murata
Balanced softmax cross-entropy for incremental learning with and without memory
Journal extension of the ICANN 2021 paper (arXiv:2103.12532v3), published in Computer Vision and Image Understanding
null
10.1016/j.cviu.2022.103582
null
cs.LG cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
When incrementally trained on new classes, deep neural networks are subject to catastrophic forgetting which leads to an extreme deterioration of their performance on the old classes while learning the new ones. Using a small memory containing few samples from past classes has shown to be an effective method to mitig...
[ { "created": "Tue, 23 Mar 2021 13:30:26 GMT", "version": "v1" }, { "created": "Wed, 31 Mar 2021 10:05:32 GMT", "version": "v2" }, { "created": "Tue, 28 Dec 2021 11:58:17 GMT", "version": "v3" }, { "created": "Wed, 9 Feb 2022 06:39:34 GMT", "version": "v4" }, { "cr...
2022-11-15
[ [ "Jodelet", "Quentin", "" ], [ "Liu", "Xin", "" ], [ "Murata", "Tsuyoshi", "" ] ]
When incrementally trained on new classes, deep neural networks are subject to catastrophic forgetting which leads to an extreme deterioration of their performance on the old classes while learning the new ones. Using a small memory containing few samples from past classes has shown to be an effective method to mitigat...
0704.3520
Jerome Darmont
Kamel Aouiche (ERIC), J\'er\^ome Darmont (ERIC)
Vers l'auto-administration des entrep\^ots de donn\'ees
Version courte de 4 pages
XXXV\`emes Journ\'ees de Statistique, Session sp\'eciale Entreposage et Fouille de Donn\'ees, Lyon (02/06/2003) 105-108
null
null
cs.DB
null
With the wide development of databases in general and data warehouses in particular, it is important to reduce the tasks that a database administrator must perform manually. The idea of using data mining techniques to extract useful knowledge for administration from the data themselves has existed for some years. How...
[ { "created": "Thu, 26 Apr 2007 11:47:35 GMT", "version": "v1" } ]
2007-05-23
[ [ "Aouiche", "Kamel", "", "ERIC" ], [ "Darmont", "Jérôme", "", "ERIC" ] ]
With the wide development of databases in general and data warehouses in particular, it is important to reduce the tasks that a database administrator must perform manually. The idea of using data mining techniques to extract useful knowledge for administration from the data themselves has existed for some years. Howev...
2208.06192
Zichen Ma
Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui
Personalizing or Not: Dynamically Personalized Federated Learning with Incentives
Withdrawal for further revision
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Personalized federated learning (FL) facilitates collaborations between multiple clients to learn personalized models without sharing private data. The mechanism mitigates the statistical heterogeneity commonly encountered in the system, i.e., non-IID data over different clients. Existing personalized algorithms gene...
[ { "created": "Fri, 12 Aug 2022 09:51:20 GMT", "version": "v1" }, { "created": "Thu, 22 Sep 2022 01:25:29 GMT", "version": "v2" } ]
2022-09-23
[ [ "Ma", "Zichen", "" ], [ "Lu", "Yu", "" ], [ "Li", "Wenye", "" ], [ "Cui", "Shuguang", "" ] ]
Personalized federated learning (FL) facilitates collaborations between multiple clients to learn personalized models without sharing private data. The mechanism mitigates the statistical heterogeneity commonly encountered in the system, i.e., non-IID data over different clients. Existing personalized algorithms genera...
2406.05331
Kei Ota
Kei Ota, Devesh K. Jha, Siddarth Jain, Bill Yerazunis, Radu Corcodel, Yash Shukla, Antonia Bronars, Diego Romeres
Autonomous Robotic Assembly: From Part Singulation to Precise Assembly
Under submission
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Imagine a robot that can assemble a functional product from the individual parts presented in any configuration to the robot. Designing such a robotic system is a complex problem which presents several open challenges. To bypass these challenges, the current generation of assembly systems is built with a lot of syste...
[ { "created": "Sat, 8 Jun 2024 03:15:14 GMT", "version": "v1" }, { "created": "Tue, 11 Jun 2024 04:16:28 GMT", "version": "v2" } ]
2024-06-12
[ [ "Ota", "Kei", "" ], [ "Jha", "Devesh K.", "" ], [ "Jain", "Siddarth", "" ], [ "Yerazunis", "Bill", "" ], [ "Corcodel", "Radu", "" ], [ "Shukla", "Yash", "" ], [ "Bronars", "Antonia", "" ], [ "Romere...
Imagine a robot that can assemble a functional product from the individual parts presented in any configuration to the robot. Designing such a robotic system is a complex problem which presents several open challenges. To bypass these challenges, the current generation of assembly systems is built with a lot of system ...
1203.0835
Ronald de Haan
Ronald de Haan
Functional Logic Programming with Generalized Circular Coinduction
null
null
null
null
cs.PL cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a method to adapt functional logic programming to deal with reasoning on coinductively interpreted programs as well as on inductively interpreted programs. In order to do so, we consider a class of objects interesting for this coinductive interpretation, namely regular terms. We show how the usual data str...
[ { "created": "Mon, 5 Mar 2012 09:07:18 GMT", "version": "v1" } ]
2012-03-06
[ [ "de Haan", "Ronald", "" ] ]
We propose a method to adapt functional logic programming to deal with reasoning on coinductively interpreted programs as well as on inductively interpreted programs. In order to do so, we consider a class of objects interesting for this coinductive interpretation, namely regular terms. We show how the usual data struc...
2211.06054
Stefan Baumgartner
Stefan Baumgartner and Gerg\H{o} Bogn\'ar and Oliver Lang and Mario Huemer
Neural Network Approaches for Data Estimation in Unique Word OFDM Systems
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data estimation is conducted with model-based estimation methods since the beginning of digital communications. However, motivated by the growing success of machine learning, current research focuses on replacing model-based data estimation methods by data-driven approaches, mainly neural networks (NNs). In this work...
[ { "created": "Fri, 11 Nov 2022 08:16:31 GMT", "version": "v1" } ]
2022-11-14
[ [ "Baumgartner", "Stefan", "" ], [ "Bognár", "Gergő", "" ], [ "Lang", "Oliver", "" ], [ "Huemer", "Mario", "" ] ]
Data estimation is conducted with model-based estimation methods since the beginning of digital communications. However, motivated by the growing success of machine learning, current research focuses on replacing model-based data estimation methods by data-driven approaches, mainly neural networks (NNs). In this work, ...
2003.14149
Ramiro Dell'Erba
R. dell'Erba, C. Moriconi, A. Trocciola
Can underwater robotics technology save submerged Cultural Heritage?
in Italian
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cultural Heritage can largely profit from the set of technologies that have recently been developed in Submarine Robotics. In this paper we focus on how underwater robotics and related technologies can be used to enhance economical fruition, control, protection and social impact of the cultural heritage. Robots allow...
[ { "created": "Tue, 31 Mar 2020 12:36:28 GMT", "version": "v1" } ]
2020-04-01
[ [ "dell'Erba", "R.", "" ], [ "Moriconi", "C.", "" ], [ "Trocciola", "A.", "" ] ]
Cultural Heritage can largely profit from the set of technologies that have recently been developed in Submarine Robotics. In this paper we focus on how underwater robotics and related technologies can be used to enhance economical fruition, control, protection and social impact of the cultural heritage. Robots allow o...
1502.04754
Cosimo Rubino
Cosimo Rubino and Marco Crocco and Alessandro Perina and Vittorio Murino and Alessio Del Bue
3D Pose from Detections
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel method to infer, in closed-form, a general 3D spatial occupancy and orientation of a collection of rigid objects given 2D image detections from a sequence of images. In particular, starting from 2D ellipses fitted to bounding boxes, this novel multi-view problem can be reformulated as the estimatio...
[ { "created": "Tue, 17 Feb 2015 00:11:41 GMT", "version": "v1" }, { "created": "Wed, 22 Apr 2015 23:40:57 GMT", "version": "v2" }, { "created": "Mon, 20 Jul 2015 18:27:38 GMT", "version": "v3" } ]
2015-07-21
[ [ "Rubino", "Cosimo", "" ], [ "Crocco", "Marco", "" ], [ "Perina", "Alessandro", "" ], [ "Murino", "Vittorio", "" ], [ "Del Bue", "Alessio", "" ] ]
We present a novel method to infer, in closed-form, a general 3D spatial occupancy and orientation of a collection of rigid objects given 2D image detections from a sequence of images. In particular, starting from 2D ellipses fitted to bounding boxes, this novel multi-view problem can be reformulated as the estimation ...
1809.08862
Zoltan Tuza
Zoltan A. Tuza and Guy-Bart Stan
Characterization of Biologically Relevant Network Structures form Time-series Data
null
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
High-throughput data acquisition in synthetic biology leads to an abundance of data that need to be processed and aggregated into useful biological models. Building dynamical models based on this wealth of data is of paramount importance to understand and optimize designs of synthetic biology constructs. However, bui...
[ { "created": "Mon, 24 Sep 2018 12:02:02 GMT", "version": "v1" } ]
2018-09-25
[ [ "Tuza", "Zoltan A.", "" ], [ "Stan", "Guy-Bart", "" ] ]
High-throughput data acquisition in synthetic biology leads to an abundance of data that need to be processed and aggregated into useful biological models. Building dynamical models based on this wealth of data is of paramount importance to understand and optimize designs of synthetic biology constructs. However, build...
1301.2252
Kannan Achan
Kannan Achan, Brendan J. Frey, Ralf Koetter
A Factorized Variational Technique for Phase Unwrapping in Markov Random Fields
Appears in Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI2001)
null
null
UAI-P-2001-PG-1-6
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Some types of medical and topographic imaging device produce images in which the pixel values are "phase-wrapped", i.e. measured modulus a known scalar. Phase unwrapping can be viewed as the problem of inferring the number of shifts between each and every pair of neighboring pixels, subject to an a priori preference ...
[ { "created": "Thu, 10 Jan 2013 16:22:19 GMT", "version": "v1" } ]
2013-01-14
[ [ "Achan", "Kannan", "" ], [ "Frey", "Brendan J.", "" ], [ "Koetter", "Ralf", "" ] ]
Some types of medical and topographic imaging device produce images in which the pixel values are "phase-wrapped", i.e. measured modulus a known scalar. Phase unwrapping can be viewed as the problem of inferring the number of shifts between each and every pair of neighboring pixels, subject to an a priori preference fo...
2107.03721
Michael Veale
Michael Veale and Frederik Zuiderveen Borgesius
Demystifying the Draft EU Artificial Intelligence Act
16 pages, 1 table
Computer Law Review International (2021), 22(4) 97-112
10.9785/cri-2021-220402
null
cs.CY cs.AI
http://creativecommons.org/licenses/by/4.0/
In April 2021, the European Commission proposed a Regulation on Artificial Intelligence, known as the AI Act. We present an overview of the Act and analyse its implications, drawing on scholarship ranging from the study of contemporary AI practices to the structure of EU product safety regimes over the last four deca...
[ { "created": "Thu, 8 Jul 2021 10:04:07 GMT", "version": "v1" }, { "created": "Tue, 20 Jul 2021 08:39:22 GMT", "version": "v2" }, { "created": "Fri, 26 Nov 2021 11:10:35 GMT", "version": "v3" }, { "created": "Mon, 13 Jun 2022 10:33:35 GMT", "version": "v4" } ]
2022-06-14
[ [ "Veale", "Michael", "" ], [ "Borgesius", "Frederik Zuiderveen", "" ] ]
In April 2021, the European Commission proposed a Regulation on Artificial Intelligence, known as the AI Act. We present an overview of the Act and analyse its implications, drawing on scholarship ranging from the study of contemporary AI practices to the structure of EU product safety regimes over the last four decade...
2005.08806
Xuechen Zhang
Yang Chen, Zongqing Lu, Xuechen Zhang, Lei Chen and Qingmin Liao
Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer
Accepted by IEEE ICIP 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent end-to-end deep neural networks for disparity regression have achieved the state-of-the-art performance. However, many well-acknowledged specific properties of disparity estimation are omitted in these deep learning algorithms. Especially, matching cost volume, one of the most important procedure, is treated a...
[ { "created": "Mon, 18 May 2020 15:29:55 GMT", "version": "v1" }, { "created": "Thu, 28 May 2020 09:59:11 GMT", "version": "v2" } ]
2020-05-29
[ [ "Chen", "Yang", "" ], [ "Lu", "Zongqing", "" ], [ "Zhang", "Xuechen", "" ], [ "Chen", "Lei", "" ], [ "Liao", "Qingmin", "" ] ]
Recent end-to-end deep neural networks for disparity regression have achieved the state-of-the-art performance. However, many well-acknowledged specific properties of disparity estimation are omitted in these deep learning algorithms. Especially, matching cost volume, one of the most important procedure, is treated as ...
1307.7842
Aaron Darling
Laurent Bulteau, Guillaume Fertin, Christian Komusiewicz, and Irena Rusu
A Fixed-Parameter Algorithm for Minimum Common String Partition with Few Duplications
Peer-reviewed and presented as part of the 13th Workshop on Algorithms in Bioinformatics (WABI2013)
null
null
null
cs.DS cs.CE q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motivated by the study of genome rearrangements, the NP-hard Minimum Common String Partition problems asks, given two strings, to split both strings into an identical set of blocks. We consider an extension of this problem to unbalanced strings, so that some elements may not be covered by any block. We present an eff...
[ { "created": "Tue, 30 Jul 2013 06:59:15 GMT", "version": "v1" } ]
2013-08-02
[ [ "Bulteau", "Laurent", "" ], [ "Fertin", "Guillaume", "" ], [ "Komusiewicz", "Christian", "" ], [ "Rusu", "Irena", "" ] ]
Motivated by the study of genome rearrangements, the NP-hard Minimum Common String Partition problems asks, given two strings, to split both strings into an identical set of blocks. We consider an extension of this problem to unbalanced strings, so that some elements may not be covered by any block. We present an effic...
2401.02541
Chirag Satpathy
Aniruth A, Chirag Satpathy, Jothika K, Nitteesh M, Gokulraj M, Venkatram K, Harshith G, Shristi S, Anushka Vani, Jonathan Spurgeon
Autonomous Multi-Rotor UAVs: A Holistic Approach to Design, Optimization, and Fabrication
null
null
null
null
cs.RO cond-mat.mtrl-sci
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unmanned Aerial Vehicles (UAVs) have become pivotal in domains spanning military, agriculture, surveillance, and logistics, revolutionizing data collection and environmental interaction. With the advancement in drone technology, there is a compelling need to develop a holistic methodology for designing UAVs. This res...
[ { "created": "Thu, 4 Jan 2024 21:10:28 GMT", "version": "v1" } ]
2024-01-08
[ [ "A", "Aniruth", "" ], [ "Satpathy", "Chirag", "" ], [ "K", "Jothika", "" ], [ "M", "Nitteesh", "" ], [ "M", "Gokulraj", "" ], [ "K", "Venkatram", "" ], [ "G", "Harshith", "" ], [ "S", "Shristi",...
Unmanned Aerial Vehicles (UAVs) have become pivotal in domains spanning military, agriculture, surveillance, and logistics, revolutionizing data collection and environmental interaction. With the advancement in drone technology, there is a compelling need to develop a holistic methodology for designing UAVs. This resea...
2206.13856
Giuseppe Spallitta
Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini and Roberto Sebastiani
SMT-based Weighted Model Integration with Structure Awareness
Accepted for the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022)
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Weighted Model Integration (WMI) is a popular formalism aimed at unifying approaches for probabilistic inference in hybrid domains, involving logical and algebraic constraints. Despite a considerable amount of recent work, allowing WMI algorithms to scale with the complexity of the hybrid problem is still a challenge...
[ { "created": "Tue, 28 Jun 2022 09:46:17 GMT", "version": "v1" } ]
2022-06-29
[ [ "Spallitta", "Giuseppe", "" ], [ "Masina", "Gabriele", "" ], [ "Morettin", "Paolo", "" ], [ "Passerini", "Andrea", "" ], [ "Sebastiani", "Roberto", "" ] ]
Weighted Model Integration (WMI) is a popular formalism aimed at unifying approaches for probabilistic inference in hybrid domains, involving logical and algebraic constraints. Despite a considerable amount of recent work, allowing WMI algorithms to scale with the complexity of the hybrid problem is still a challenge. ...
2302.09051
Xavier Daull
Xavier Daull, Patrice Bellot, Emmanuel Bruno, Vincent Martin, Elisabeth Murisasco
Complex QA and language models hybrid architectures, Survey
null
null
null
null
cs.CL cs.AI cs.IR cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
This paper reviews the state-of-the-art of language models architectures and strategies for "complex" question-answering (QA, CQA, CPS) with a focus on hybridization. Large Language Models (LLM) are good at leveraging public data on standard problems but once you want to tackle more specific complex questions or prob...
[ { "created": "Fri, 17 Feb 2023 18:31:31 GMT", "version": "v1" }, { "created": "Mon, 6 Mar 2023 21:46:08 GMT", "version": "v2" }, { "created": "Thu, 9 Mar 2023 17:25:10 GMT", "version": "v3" }, { "created": "Fri, 7 Apr 2023 16:37:35 GMT", "version": "v4" } ]
2023-04-10
[ [ "Daull", "Xavier", "" ], [ "Bellot", "Patrice", "" ], [ "Bruno", "Emmanuel", "" ], [ "Martin", "Vincent", "" ], [ "Murisasco", "Elisabeth", "" ] ]
This paper reviews the state-of-the-art of language models architectures and strategies for "complex" question-answering (QA, CQA, CPS) with a focus on hybridization. Large Language Models (LLM) are good at leveraging public data on standard problems but once you want to tackle more specific complex questions or proble...
2203.03815
Min-Won Seo
Min-Won Seo, Solmaz S. Kia
Online Target Localization using Adaptive Belief Propagation in the HMM Framework
8 pages, 8 figures
IEEE Robotics and Automation Letters. Vol 7 Issue 4 (2022) 10288 - 10295
10.1109/LRA.2022.3193243
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a novel adaptive sample space-based Viterbi algorithm for target localization in an online manner. The method relies on discretizing the target's motion space into cells representing a finite number of hidden states. Then, the most probable trajectory of the tracked target is computed via dynamic ...
[ { "created": "Tue, 8 Mar 2022 02:30:17 GMT", "version": "v1" }, { "created": "Fri, 18 Mar 2022 00:28:42 GMT", "version": "v2" }, { "created": "Sun, 29 May 2022 05:56:38 GMT", "version": "v3" }, { "created": "Mon, 15 Aug 2022 15:04:06 GMT", "version": "v4" }, { "cr...
2022-08-17
[ [ "Seo", "Min-Won", "" ], [ "Kia", "Solmaz S.", "" ] ]
This paper proposes a novel adaptive sample space-based Viterbi algorithm for target localization in an online manner. The method relies on discretizing the target's motion space into cells representing a finite number of hidden states. Then, the most probable trajectory of the tracked target is computed via dynamic pr...
2309.02423
Yue Xu
Yue Xu, Yong-Lu Li, Zhemin Huang, Michael Xu Liu, Cewu Lu, Yu-Wing Tai, Chi-Keung Tang
EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding
ICCV 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the surge in attention to Egocentric Hand-Object Interaction (Ego-HOI), large-scale datasets such as Ego4D and EPIC-KITCHENS have been proposed. However, most current research is built on resources derived from third-person video action recognition. This inherent domain gap between first- and third-person action...
[ { "created": "Tue, 5 Sep 2023 17:51:16 GMT", "version": "v1" } ]
2023-09-06
[ [ "Xu", "Yue", "" ], [ "Li", "Yong-Lu", "" ], [ "Huang", "Zhemin", "" ], [ "Liu", "Michael Xu", "" ], [ "Lu", "Cewu", "" ], [ "Tai", "Yu-Wing", "" ], [ "Tang", "Chi-Keung", "" ] ]
With the surge in attention to Egocentric Hand-Object Interaction (Ego-HOI), large-scale datasets such as Ego4D and EPIC-KITCHENS have been proposed. However, most current research is built on resources derived from third-person video action recognition. This inherent domain gap between first- and third-person action v...
2404.04927
Qingxiao Huang
Qingxiao Huang, Jie Hu, Yizhe Zhao, Kun Yang
Holographic Integrated Data and Energy Transfer
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Thanks to the application of metamaterials, holographic multiple-input multiple-output (H-MIMO) is expected to achieve a higher spatial diversity gain by enabling the ability to generate any current distribution on the surface. With the aid of electromagnetic (EM) manipulation capability of H-MIMO, integrated data an...
[ { "created": "Sun, 7 Apr 2024 12:00:28 GMT", "version": "v1" } ]
2024-04-09
[ [ "Huang", "Qingxiao", "" ], [ "Hu", "Jie", "" ], [ "Zhao", "Yizhe", "" ], [ "Yang", "Kun", "" ] ]
Thanks to the application of metamaterials, holographic multiple-input multiple-output (H-MIMO) is expected to achieve a higher spatial diversity gain by enabling the ability to generate any current distribution on the surface. With the aid of electromagnetic (EM) manipulation capability of H-MIMO, integrated data and ...
1905.12708
Athmanarayanan Lakshmi Narayanan
Athma Narayanan, Isht Dwivedi, Behzad Dariush
Dynamic Traffic Scene Classification with Space-Time Coherence
accpeted in (International Conference on Robotics and Automation)ICRA 2019
null
null
null
cs.CV eess.IV
http://creativecommons.org/licenses/by-nc-sa/4.0/
This paper examines the problem of dynamic traffic scene classification under space-time variations in viewpoint that arise from video captured on-board a moving vehicle. Solutions to this problem are important for realization of effective driving assistance technologies required to interpret or predict road user beh...
[ { "created": "Wed, 29 May 2019 20:28:49 GMT", "version": "v1" } ]
2019-05-31
[ [ "Narayanan", "Athma", "" ], [ "Dwivedi", "Isht", "" ], [ "Dariush", "Behzad", "" ] ]
This paper examines the problem of dynamic traffic scene classification under space-time variations in viewpoint that arise from video captured on-board a moving vehicle. Solutions to this problem are important for realization of effective driving assistance technologies required to interpret or predict road user behav...
1603.08047
Kevin Hecke Van
Kevin van Hecke, Guido de Croon, Laurens van der Maaten, Daniel Hennes, Dario Izzo
Persistent self-supervised learning principle: from stereo to monocular vision for obstacle avoidance
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Self-Supervised Learning (SSL) is a reliable learning mechanism in which a robot uses an original, trusted sensor cue for training to recognize an additional, complementary sensor cue. We study for the first time in SSL how a robot's learning behavior should be organized, so that the robot can keep performing its tas...
[ { "created": "Fri, 25 Mar 2016 22:13:50 GMT", "version": "v1" } ]
2016-03-29
[ [ "van Hecke", "Kevin", "" ], [ "de Croon", "Guido", "" ], [ "van der Maaten", "Laurens", "" ], [ "Hennes", "Daniel", "" ], [ "Izzo", "Dario", "" ] ]
Self-Supervised Learning (SSL) is a reliable learning mechanism in which a robot uses an original, trusted sensor cue for training to recognize an additional, complementary sensor cue. We study for the first time in SSL how a robot's learning behavior should be organized, so that the robot can keep performing its task ...
2407.13849
Abdallah Alabdallah
Abdallah Alabdallah, Omar Hamed, Mattias Ohlsson, Thorsteinn R\"ognvaldsson, Sepideh Pashami
CoxSE: Exploring the Potential of Self-Explaining Neural Networks with Cox Proportional Hazards Model for Survival Analysis
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
The Cox Proportional Hazards (CPH) model has long been the preferred survival model for its explainability. However, to increase its predictive power beyond its linear log-risk, it was extended to utilize deep neural networks sacrificing its explainability. In this work, we explore the potential of self-explaining ne...
[ { "created": "Thu, 18 Jul 2024 18:32:54 GMT", "version": "v1" } ]
2024-07-22
[ [ "Alabdallah", "Abdallah", "" ], [ "Hamed", "Omar", "" ], [ "Ohlsson", "Mattias", "" ], [ "Rögnvaldsson", "Thorsteinn", "" ], [ "Pashami", "Sepideh", "" ] ]
The Cox Proportional Hazards (CPH) model has long been the preferred survival model for its explainability. However, to increase its predictive power beyond its linear log-risk, it was extended to utilize deep neural networks sacrificing its explainability. In this work, we explore the potential of self-explaining neur...
2211.05414
Ke Yang
Ke Yang, Charles Yu, Yi Fung, Manling Li, Heng Ji
ADEPT: A DEbiasing PrompT Framework
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Several works have proven that finetuning is an applicable approach for debiasing contextualized word embeddings. Similarly, discrete prompts with semantic meanings have shown to be effective in debiasing tasks. With unfixed mathematical representation at the token level, continuous prompts usually surpass discrete o...
[ { "created": "Thu, 10 Nov 2022 08:41:40 GMT", "version": "v1" }, { "created": "Fri, 23 Dec 2022 15:06:38 GMT", "version": "v2" } ]
2022-12-26
[ [ "Yang", "Ke", "" ], [ "Yu", "Charles", "" ], [ "Fung", "Yi", "" ], [ "Li", "Manling", "" ], [ "Ji", "Heng", "" ] ]
Several works have proven that finetuning is an applicable approach for debiasing contextualized word embeddings. Similarly, discrete prompts with semantic meanings have shown to be effective in debiasing tasks. With unfixed mathematical representation at the token level, continuous prompts usually surpass discrete one...
2404.13478
Benjamin Eisner
Ben Eisner, Yi Yang, Todor Davchev, Mel Vecerik, Jonathan Scholz, David Held
Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks
Published at International Conference on Representation Learning (ICLR 2024)
null
null
null
cs.RO cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many robot manipulation tasks can be framed as geometric reasoning tasks, where an agent must be able to precisely manipulate an object into a position that satisfies the task from a set of initial conditions. Often, task success is defined based on the relationship between two objects - for instance, hanging a mug o...
[ { "created": "Sat, 20 Apr 2024 22:16:56 GMT", "version": "v1" } ]
2024-04-23
[ [ "Eisner", "Ben", "" ], [ "Yang", "Yi", "" ], [ "Davchev", "Todor", "" ], [ "Vecerik", "Mel", "" ], [ "Scholz", "Jonathan", "" ], [ "Held", "David", "" ] ]
Many robot manipulation tasks can be framed as geometric reasoning tasks, where an agent must be able to precisely manipulate an object into a position that satisfies the task from a set of initial conditions. Often, task success is defined based on the relationship between two objects - for instance, hanging a mug on ...
1010.0287
Ying Cui
Rui Wang, Vincent K. N. Lau and Ying Cui
Queue-Aware Distributive Resource Control for Delay-Sensitive Two-Hop MIMO Cooperative Systems
30 pages, 7 figures
null
10.1109/TSP.2010.2086449
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider a queue-aware distributive resource control algorithm for two-hop MIMO cooperative systems. We shall illustrate that relay buffering is an effective way to reduce the intrinsic half-duplex penalty in cooperative systems. The complex interactions of the queues at the source node and the rela...
[ { "created": "Sat, 2 Oct 2010 03:57:46 GMT", "version": "v1" } ]
2015-05-20
[ [ "Wang", "Rui", "" ], [ "Lau", "Vincent K. N.", "" ], [ "Cui", "Ying", "" ] ]
In this paper, we consider a queue-aware distributive resource control algorithm for two-hop MIMO cooperative systems. We shall illustrate that relay buffering is an effective way to reduce the intrinsic half-duplex penalty in cooperative systems. The complex interactions of the queues at the source node and the relays...
1906.01038
Christina Niklaus
Christina Niklaus, Matthias Cetto, Andre Freitas, Siegfried Handschuh
Transforming Complex Sentences into a Semantic Hierarchy
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We present an approach for recursively splitting and rephrasing complex English sentences into a novel semantic hierarchy of simplified sentences, with each of them presenting a more regular structure that may facilitate a wide variety of artificial intelligence tasks, such as machine translation (MT) or information ...
[ { "created": "Mon, 3 Jun 2019 19:33:13 GMT", "version": "v1" } ]
2019-06-05
[ [ "Niklaus", "Christina", "" ], [ "Cetto", "Matthias", "" ], [ "Freitas", "Andre", "" ], [ "Handschuh", "Siegfried", "" ] ]
We present an approach for recursively splitting and rephrasing complex English sentences into a novel semantic hierarchy of simplified sentences, with each of them presenting a more regular structure that may facilitate a wide variety of artificial intelligence tasks, such as machine translation (MT) or information ex...
2211.04445
Ren Wang
Jianing Bai, Ren Wang, Zuyi Li
Physics-Constrained Backdoor Attacks on Power System Fault Localization
null
null
null
null
cs.CR cs.AI cs.LG cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The advances in deep learning (DL) techniques have the potential to deliver transformative technological breakthroughs to numerous complex tasks in modern power systems that suffer from increasing uncertainty and nonlinearity. However, the vulnerability of DL has yet to be thoroughly explored in power system tasks un...
[ { "created": "Mon, 7 Nov 2022 12:57:26 GMT", "version": "v1" } ]
2022-11-09
[ [ "Bai", "Jianing", "" ], [ "Wang", "Ren", "" ], [ "Li", "Zuyi", "" ] ]
The advances in deep learning (DL) techniques have the potential to deliver transformative technological breakthroughs to numerous complex tasks in modern power systems that suffer from increasing uncertainty and nonlinearity. However, the vulnerability of DL has yet to be thoroughly explored in power system tasks unde...
2306.07209
Wenqi Zhang
Wenqi Zhang, Yongliang Shen, Weiming Lu, Yueting Zhuang
Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow
null
null
null
null
cs.CL cs.AI cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Industries such as finance, meteorology, and energy generate vast amounts of data daily. Efficiently managing, processing, and displaying this data requires specialized expertise and is often tedious and repetitive. Leveraging large language models (LLMs) to develop an automated workflow presents a highly promising s...
[ { "created": "Mon, 12 Jun 2023 16:12:56 GMT", "version": "v1" }, { "created": "Sun, 21 Apr 2024 12:25:25 GMT", "version": "v2" }, { "created": "Mon, 6 May 2024 15:36:53 GMT", "version": "v3" }, { "created": "Tue, 7 May 2024 02:53:28 GMT", "version": "v4" }, { "cre...
2024-08-06
[ [ "Zhang", "Wenqi", "" ], [ "Shen", "Yongliang", "" ], [ "Lu", "Weiming", "" ], [ "Zhuang", "Yueting", "" ] ]
Industries such as finance, meteorology, and energy generate vast amounts of data daily. Efficiently managing, processing, and displaying this data requires specialized expertise and is often tedious and repetitive. Leveraging large language models (LLMs) to develop an automated workflow presents a highly promising sol...
2211.02946
Michael Fulton
Michael Fulton, Aditya Prabhu, Junaed Sattar
HREyes: Design, Development, and Evaluation of a Novel Method for AUVs to Communicate Information and Gaze Direction
Under submission at ICRA23
null
null
null
cs.HC cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the design, development, and evaluation of HREyes: biomimetic communication devices which use light to communicate information and, for the first time, gaze direction from AUVs to humans. First, we introduce two types of information displays using the HREye devices: active lucemes and ocular lucemes. Activ...
[ { "created": "Sat, 5 Nov 2022 17:10:31 GMT", "version": "v1" } ]
2022-11-08
[ [ "Fulton", "Michael", "" ], [ "Prabhu", "Aditya", "" ], [ "Sattar", "Junaed", "" ] ]
We present the design, development, and evaluation of HREyes: biomimetic communication devices which use light to communicate information and, for the first time, gaze direction from AUVs to humans. First, we introduce two types of information displays using the HREye devices: active lucemes and ocular lucemes. Active ...
2201.02693
Yoshitomo Matsubara
Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing
Accepted to IEEE WoWMoM 2022. Code and models are available at https://github.com/yoshitomo-matsubara/bottlefit-split_computing
2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
10.1109/WoWMoM54355.2022.00032
null
cs.LG cs.CV eess.IV eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although mission-critical applications require the use of deep neural networks (DNNs), their continuous execution at mobile devices results in a significant increase in energy consumption. While edge offloading can decrease energy consumption, erratic patterns in channel quality, network and edge server load can lead...
[ { "created": "Fri, 7 Jan 2022 22:08:07 GMT", "version": "v1" }, { "created": "Thu, 14 Apr 2022 06:06:15 GMT", "version": "v2" } ]
2022-09-07
[ [ "Matsubara", "Yoshitomo", "" ], [ "Callegaro", "Davide", "" ], [ "Singh", "Sameer", "" ], [ "Levorato", "Marco", "" ], [ "Restuccia", "Francesco", "" ] ]
Although mission-critical applications require the use of deep neural networks (DNNs), their continuous execution at mobile devices results in a significant increase in energy consumption. While edge offloading can decrease energy consumption, erratic patterns in channel quality, network and edge server load can lead t...
1603.00146
Yu Zhang
Yu Zhang, Stephen Wistar, Jia Li, Michael Steinberg, and James Z. Wang
Storm Detection by Visual Learning Using Satellite Images
null
null
10.1109/TGRS.2016.2618929
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computers are widely utilized in today's weather forecasting as a powerful tool to leverage an enormous amount of data. Yet, despite the availability of such data, current techniques often fall short of producing reliable detailed storm forecasts. Each year severe thunderstorms cause significant damage and loss of li...
[ { "created": "Tue, 1 Mar 2016 05:26:59 GMT", "version": "v1" } ]
2017-03-08
[ [ "Zhang", "Yu", "" ], [ "Wistar", "Stephen", "" ], [ "Li", "Jia", "" ], [ "Steinberg", "Michael", "" ], [ "Wang", "James Z.", "" ] ]
Computers are widely utilized in today's weather forecasting as a powerful tool to leverage an enormous amount of data. Yet, despite the availability of such data, current techniques often fall short of producing reliable detailed storm forecasts. Each year severe thunderstorms cause significant damage and loss of life...
0711.2546
Wojciech Moczydlowski
Wojciech Moczydlowski
Normalization of IZF with Replacement
null
Logical Methods in Computer Science, Volume 4, Issue 2 (April 8, 2008) lmcs:1235
10.2168/LMCS-4(2:1)2008
null
cs.LO
null
ZF is a well investigated impredicative constructive version of Zermelo-Fraenkel set theory. Using set terms, we axiomatize IZF with Replacement, which we call \izfr, along with its intensional counterpart \iizfr. We define a typed lambda calculus $\li$ corresponding to proofs in \iizfr according to the Curry-Howard ...
[ { "created": "Fri, 16 Nov 2007 02:44:05 GMT", "version": "v1" }, { "created": "Tue, 8 Apr 2008 15:49:00 GMT", "version": "v2" } ]
2019-03-14
[ [ "Moczydlowski", "Wojciech", "" ] ]
ZF is a well investigated impredicative constructive version of Zermelo-Fraenkel set theory. Using set terms, we axiomatize IZF with Replacement, which we call \izfr, along with its intensional counterpart \iizfr. We define a typed lambda calculus $\li$ corresponding to proofs in \iizfr according to the Curry-Howard is...
1903.05567
Maxim Gonchar
Anna Fatkina, Maxim Gonchar, Anastasia Kalitkina, Liudmila Kolupaeva, Dmitry Naumov, Dmitry Selivanov, Konstantin Treskov
GNA: new framework for statistical data analysis
9 pages, 3 figures, CHEP 2018, submitted to EPJ Web of Conferences
null
10.1051/epjconf/201921405024
null
cs.MS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We report on the status of GNA --- a new framework for fitting large-scale physical models. GNA utilizes the data flow concept within which a model is represented by a directed acyclic graph. Each node is an operation on an array (matrix multiplication, derivative or cross section calculation, etc). The framework ena...
[ { "created": "Wed, 13 Mar 2019 16:09:08 GMT", "version": "v1" } ]
2019-10-02
[ [ "Fatkina", "Anna", "" ], [ "Gonchar", "Maxim", "" ], [ "Kalitkina", "Anastasia", "" ], [ "Kolupaeva", "Liudmila", "" ], [ "Naumov", "Dmitry", "" ], [ "Selivanov", "Dmitry", "" ], [ "Treskov", "Konstantin", ...
We report on the status of GNA --- a new framework for fitting large-scale physical models. GNA utilizes the data flow concept within which a model is represented by a directed acyclic graph. Each node is an operation on an array (matrix multiplication, derivative or cross section calculation, etc). The framework enabl...
1911.01258
Reza Yazdani Aminabadi
Reza Yazdani, Olatunji Ruwase, Minjia Zhang, Yuxiong He, Jose-Maria Arnau, Antonio Gonzalez
SHARP: An Adaptable, Energy-Efficient Accelerator for Recurrent Neural Network
null
null
null
null
cs.LG cs.AR cs.NE cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The effectiveness of Recurrent Neural Networks (RNNs) for tasks such as Automatic Speech Recognition has fostered interest in RNN inference acceleration. Due to the recurrent nature and data dependencies of RNN computations, prior work has designed customized architectures specifically tailored to the computation pat...
[ { "created": "Mon, 4 Nov 2019 14:51:27 GMT", "version": "v1" }, { "created": "Sun, 20 Mar 2022 18:03:32 GMT", "version": "v2" }, { "created": "Sun, 21 May 2023 04:12:46 GMT", "version": "v3" } ]
2023-05-23
[ [ "Yazdani", "Reza", "" ], [ "Ruwase", "Olatunji", "" ], [ "Zhang", "Minjia", "" ], [ "He", "Yuxiong", "" ], [ "Arnau", "Jose-Maria", "" ], [ "Gonzalez", "Antonio", "" ] ]
The effectiveness of Recurrent Neural Networks (RNNs) for tasks such as Automatic Speech Recognition has fostered interest in RNN inference acceleration. Due to the recurrent nature and data dependencies of RNN computations, prior work has designed customized architectures specifically tailored to the computation patte...
2208.11405
Gorka Velez Ph.D.
\'Angel Mart\'in, Daniel Mej\'ias, Zaloa Fern\'andez, Roberto Viola, Josu P\'erez, Mikel Garc\'ia, Gorka Velez, Jon Montalb\'an and Pablo Angueira
Adaptive QoS of WebRTC for Vehicular Media Communications
null
2022 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 2022, pp. 1-6
10.1109/BMSB55706.2022.9828782
null
cs.NI cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Vehicles shipping sensors for onboard systems are gaining connectivity. This enables information sharing to realize a more comprehensive understanding of the environment. However, peer communication through public cellular networks brings multiple networking hurdles to address, needing in-network systems to relay com...
[ { "created": "Wed, 24 Aug 2022 09:51:59 GMT", "version": "v1" } ]
2022-08-25
[ [ "Martín", "Ángel", "" ], [ "Mejías", "Daniel", "" ], [ "Fernández", "Zaloa", "" ], [ "Viola", "Roberto", "" ], [ "Pérez", "Josu", "" ], [ "García", "Mikel", "" ], [ "Velez", "Gorka", "" ], [ "Montal...
Vehicles shipping sensors for onboard systems are gaining connectivity. This enables information sharing to realize a more comprehensive understanding of the environment. However, peer communication through public cellular networks brings multiple networking hurdles to address, needing in-network systems to relay commu...
1509.04954
Heng Yang
Heng Yang and Renqiao Zhang and Peter Robinson
Human and Sheep Facial Landmarks Localisation by Triplet Interpolated Features
submitted to WACV2016
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present a method for localisation of facial landmarks on human and sheep. We introduce a new feature extraction scheme called triplet-interpolated feature used at each iteration of the cascaded shape regression framework. It is able to extract features from similar semantic location given an estimate...
[ { "created": "Wed, 16 Sep 2015 15:50:01 GMT", "version": "v1" } ]
2015-09-17
[ [ "Yang", "Heng", "" ], [ "Zhang", "Renqiao", "" ], [ "Robinson", "Peter", "" ] ]
In this paper we present a method for localisation of facial landmarks on human and sheep. We introduce a new feature extraction scheme called triplet-interpolated feature used at each iteration of the cascaded shape regression framework. It is able to extract features from similar semantic location given an estimated ...
1111.5652
Cesare Tinelli
Alexander Fuchs (The University of Iowa), Amit Goel (Intel Corporation), Jim Grundy (Intel Corporation), Sava Krsti\'c (Intel Corporation), Cesare Tinelli (The University of Iowa)
Ground interpolation for the theory of equality
null
Logical Methods in Computer Science, Volume 8, Issue 1 (February 16, 2012) lmcs:709
10.2168/LMCS-8(1:6)2012
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Theory interpolation has found several successful applications in model checking. We present a novel method for computing interpolants for ground formulas in the theory of equality. The method produces interpolants from colored congruence graphs representing derivations in that theory. These graphs can be produced by...
[ { "created": "Wed, 23 Nov 2011 23:57:19 GMT", "version": "v1" }, { "created": "Wed, 15 Feb 2012 10:45:00 GMT", "version": "v2" } ]
2015-07-01
[ [ "Fuchs", "Alexander", "", "The University of Iowa" ], [ "Goel", "Amit", "", "Intel\n Corporation" ], [ "Grundy", "Jim", "", "Intel Corporation" ], [ "Krstić", "Sava", "", "Intel\n Corporation" ], [ "Tinelli", "Cesare", "...
Theory interpolation has found several successful applications in model checking. We present a novel method for computing interpolants for ground formulas in the theory of equality. The method produces interpolants from colored congruence graphs representing derivations in that theory. These graphs can be produced by c...
2403.00999
Tian Qin
Tian Qin, Zhiwei Deng, David Alvarez-Melis
Distributional Dataset Distillation with Subtask Decomposition
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
What does a neural network learn when training from a task-specific dataset? Synthesizing this knowledge is the central idea behind Dataset Distillation, which recent work has shown can be used to compress large datasets into a small set of input-label pairs ($\textit{prototypes}$) that capture essential aspects of t...
[ { "created": "Fri, 1 Mar 2024 21:49:34 GMT", "version": "v1" } ]
2024-03-05
[ [ "Qin", "Tian", "" ], [ "Deng", "Zhiwei", "" ], [ "Alvarez-Melis", "David", "" ] ]
What does a neural network learn when training from a task-specific dataset? Synthesizing this knowledge is the central idea behind Dataset Distillation, which recent work has shown can be used to compress large datasets into a small set of input-label pairs ($\textit{prototypes}$) that capture essential aspects of the...
1803.04388
Carl Feghali
Faisal N. Abu-Khzam, Carl Feghali, Pinar Heggernes
Partitioning a graph into degenerate subgraphs
16 pages; minor revision
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Let $G = (V, E)$ be a connected graph with maximum degree $k\geq 3$ distinct from $K_{k+1}$. Given integers $s \geq 2$ and $p_1,\ldots,p_s\geq 0$, $G$ is said to be $(p_1, \dots, p_s)$-partitionable if there exists a partition of $V$ into sets~$V_1,\ldots,V_s$ such that $G[V_i]$ is $p_i$-degenerate for $i\in\{1,\ldot...
[ { "created": "Mon, 12 Mar 2018 17:29:28 GMT", "version": "v1" }, { "created": "Wed, 7 Aug 2019 16:59:42 GMT", "version": "v2" } ]
2019-08-08
[ [ "Abu-Khzam", "Faisal N.", "" ], [ "Feghali", "Carl", "" ], [ "Heggernes", "Pinar", "" ] ]
Let $G = (V, E)$ be a connected graph with maximum degree $k\geq 3$ distinct from $K_{k+1}$. Given integers $s \geq 2$ and $p_1,\ldots,p_s\geq 0$, $G$ is said to be $(p_1, \dots, p_s)$-partitionable if there exists a partition of $V$ into sets~$V_1,\ldots,V_s$ such that $G[V_i]$ is $p_i$-degenerate for $i\in\{1,\ldots,...
2011.14395
Lennart Sch\"apermeier
Lennart Sch\"apermeier, Christian Grimme, Pascal Kerschke
To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes
This version has been accepted for publication at the 11th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2021)
null
null
null
cs.NE math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Simultaneously visualizing the decision and objective space of continuous multi-objective optimization problems (MOPs) recently provided key contributions in understanding the structure of their landscapes. For the sake of advancing these recent findings, we compiled all state-of-the-art visualization methods in a si...
[ { "created": "Sun, 29 Nov 2020 16:33:15 GMT", "version": "v1" } ]
2020-12-01
[ [ "Schäpermeier", "Lennart", "" ], [ "Grimme", "Christian", "" ], [ "Kerschke", "Pascal", "" ] ]
Simultaneously visualizing the decision and objective space of continuous multi-objective optimization problems (MOPs) recently provided key contributions in understanding the structure of their landscapes. For the sake of advancing these recent findings, we compiled all state-of-the-art visualization methods in a sing...
2004.13077
Boris Chidlovskii
Assem Sadek and Boris Chidlovskii
Self-Supervised Attention Learning for Depth and Ego-motion Estimation
null
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We address the problem of depth and ego-motion estimation from image sequences. Recent advances in the domain propose to train a deep learning model for both tasks using image reconstruction in a self-supervised manner. We revise the assumptions and the limitations of the current approaches and propose two improvemen...
[ { "created": "Mon, 27 Apr 2020 18:19:22 GMT", "version": "v1" }, { "created": "Mon, 5 Dec 2022 19:51:01 GMT", "version": "v2" } ]
2022-12-07
[ [ "Sadek", "Assem", "" ], [ "Chidlovskii", "Boris", "" ] ]
We address the problem of depth and ego-motion estimation from image sequences. Recent advances in the domain propose to train a deep learning model for both tasks using image reconstruction in a self-supervised manner. We revise the assumptions and the limitations of the current approaches and propose two improvements...
1405.0055
Abuzer Yakaryilmaz
Arseny M. Shur and Abuzer Yakaryilmaz
Quantum, Stochastic, and Pseudo Stochastic Languages with Few States
A new version with new results. Previous version: Arseny M. Shur, Abuzer Yakaryilmaz: Quantum, Stochastic, and Pseudo Stochastic Languages with Few States. UCNC 2014: 327-339
null
null
null
cs.FL quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Stochastic languages are the languages recognized by probabilistic finite automata (PFAs) with cutpoint over the field of real numbers. More general computational models over the same field such as generalized finite automata (GFAs) and quantum finite automata (QFAs) define the same class. In 1963, Rabin proved the s...
[ { "created": "Wed, 30 Apr 2014 23:29:33 GMT", "version": "v1" }, { "created": "Sat, 20 Dec 2014 11:32:09 GMT", "version": "v2" } ]
2014-12-23
[ [ "Shur", "Arseny M.", "" ], [ "Yakaryilmaz", "Abuzer", "" ] ]
Stochastic languages are the languages recognized by probabilistic finite automata (PFAs) with cutpoint over the field of real numbers. More general computational models over the same field such as generalized finite automata (GFAs) and quantum finite automata (QFAs) define the same class. In 1963, Rabin proved the set...
2001.05613
Takuya Ohashi
Takuya Ohashi, Yosuke Ikegami, Yoshihiko Nakamura
Synergetic Reconstruction from 2D Pose and 3D Motion for Wide-Space Multi-Person Video Motion Capture in the Wild
null
Image and Vision Computing, Volume 104, 2020
10.1016/j.imavis.2020.104028
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although many studies have investigated markerless motion capture, the technology has not been applied to real sports or concerts. In this paper, we propose a markerless motion capture method with spatiotemporal accuracy and smoothness from multiple cameras in wide-space and multi-person environments. The proposed me...
[ { "created": "Thu, 16 Jan 2020 02:14:59 GMT", "version": "v1" }, { "created": "Wed, 14 Oct 2020 04:08:05 GMT", "version": "v2" } ]
2020-10-15
[ [ "Ohashi", "Takuya", "" ], [ "Ikegami", "Yosuke", "" ], [ "Nakamura", "Yoshihiko", "" ] ]
Although many studies have investigated markerless motion capture, the technology has not been applied to real sports or concerts. In this paper, we propose a markerless motion capture method with spatiotemporal accuracy and smoothness from multiple cameras in wide-space and multi-person environments. The proposed meth...
1712.09345
Andreas Lenz
Andreas Lenz and Antonia Wachter-Zeh and Eitan Yaakobi
Duplication-Correcting Codes
24 pages, 1 figure. arXiv admin note: text overlap with arXiv:1707.00052
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we propose constructions that correct duplications of multiple consecutive symbols. These errors are known as tandem duplications, where a sequence of symbols is repeated; respectively as palindromic duplications, where a sequence is repeated in reversed order. We compare the redundancies of these const...
[ { "created": "Sun, 24 Dec 2017 00:15:52 GMT", "version": "v1" } ]
2017-12-29
[ [ "Lenz", "Andreas", "" ], [ "Wachter-Zeh", "Antonia", "" ], [ "Yaakobi", "Eitan", "" ] ]
In this work, we propose constructions that correct duplications of multiple consecutive symbols. These errors are known as tandem duplications, where a sequence of symbols is repeated; respectively as palindromic duplications, where a sequence is repeated in reversed order. We compare the redundancies of these constru...