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1304.3610
Hardik Parekh
Hardik M. Parekh, Vipul K. Dabhi
Modified Soft Brood Crossover in Genetic Programming
null
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Premature convergence is one of the important issues while using Genetic Programming for data modeling. It can be avoided by improving population diversity. Intelligent genetic operators can help to improve the population diversity. Crossover is an important operator in Genetic Programming. So, we have analyzed numbe...
[ { "created": "Fri, 12 Apr 2013 11:54:35 GMT", "version": "v1" } ]
2013-04-15
[ [ "Parekh", "Hardik M.", "" ], [ "Dabhi", "Vipul K.", "" ] ]
Premature convergence is one of the important issues while using Genetic Programming for data modeling. It can be avoided by improving population diversity. Intelligent genetic operators can help to improve the population diversity. Crossover is an important operator in Genetic Programming. So, we have analyzed number ...
2402.01423
Siyao Peng
Siyao Peng, Zihang Sun, Sebastian Loftus, Barbara Plank
Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations
9 pages; Accepted at UnImplicit workshop at EACL 2024
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Named Entity Recognition (NER) is a key information extraction task with a long-standing tradition. While recent studies address and aim to correct annotation errors via re-labeling efforts, little is known about the sources of human label variation, such as text ambiguity, annotation error, or guideline divergence. ...
[ { "created": "Fri, 2 Feb 2024 14:08:34 GMT", "version": "v1" } ]
2024-02-05
[ [ "Peng", "Siyao", "" ], [ "Sun", "Zihang", "" ], [ "Loftus", "Sebastian", "" ], [ "Plank", "Barbara", "" ] ]
Named Entity Recognition (NER) is a key information extraction task with a long-standing tradition. While recent studies address and aim to correct annotation errors via re-labeling efforts, little is known about the sources of human label variation, such as text ambiguity, annotation error, or guideline divergence. Th...
2402.04216
Md Ferdous Pervej
Md Ferdous Pervej and Andreas F. Molisch
Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks
Under review for possible publication in IEEE Transactions on Wireless Communications
null
null
null
cs.NI cs.LG cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
Backhaul traffic congestion caused by the video traffic of a few popular files can be alleviated by storing the to-be-requested content at various levels in wireless video caching networks. Typically, content service providers (CSPs) own the content, and the users request their preferred content from the CSPs using t...
[ { "created": "Tue, 6 Feb 2024 18:17:02 GMT", "version": "v1" }, { "created": "Wed, 19 Jun 2024 19:18:42 GMT", "version": "v2" } ]
2024-06-21
[ [ "Pervej", "Md Ferdous", "" ], [ "Molisch", "Andreas F.", "" ] ]
Backhaul traffic congestion caused by the video traffic of a few popular files can be alleviated by storing the to-be-requested content at various levels in wireless video caching networks. Typically, content service providers (CSPs) own the content, and the users request their preferred content from the CSPs using the...
1303.1454
Marek J. Druzdzel
Marek J. Druzdzel, Herbert A. Simon
Causality in Bayesian Belief Networks
Appears in Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence (UAI1993)
null
null
UAI-P-1993-PG-3-11
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We address the problem of causal interpretation of the graphical structure of Bayesian belief networks (BBNs). We review the concept of causality explicated in the domain of structural equations models and show that it is applicable to BBNs. In this view, which we call mechanism-based, causality is defined within mod...
[ { "created": "Wed, 6 Mar 2013 14:18:23 GMT", "version": "v1" } ]
2013-03-08
[ [ "Druzdzel", "Marek J.", "" ], [ "Simon", "Herbert A.", "" ] ]
We address the problem of causal interpretation of the graphical structure of Bayesian belief networks (BBNs). We review the concept of causality explicated in the domain of structural equations models and show that it is applicable to BBNs. In this view, which we call mechanism-based, causality is defined within model...
2401.11281
Kaylea Champion
Kaylea Champion and Benjamin Mako Hill
Sources of Underproduction in Open Source Software
null
null
null
null
cs.SE cs.CY cs.HC
http://creativecommons.org/licenses/by/4.0/
Because open source software relies on individuals who select their own tasks, it is often underproduced -- a term used by software engineering researchers to describe when a piece of software's relative quality is lower than its relative importance. We examine the social and technical factors associated with underpr...
[ { "created": "Sat, 20 Jan 2024 17:21:24 GMT", "version": "v1" } ]
2024-01-23
[ [ "Champion", "Kaylea", "" ], [ "Hill", "Benjamin Mako", "" ] ]
Because open source software relies on individuals who select their own tasks, it is often underproduced -- a term used by software engineering researchers to describe when a piece of software's relative quality is lower than its relative importance. We examine the social and technical factors associated with underprod...
2310.12004
Feng Luo
Feng Luo, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach
15 pages, 7 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recent use of diffusion prior, enhanced by pre-trained text-image models, has markedly elevated the performance of image super-resolution (SR). To alleviate the huge computational cost required by pixel-based diffusion SR, latent-based methods utilize a feature encoder to transform the image and then implement th...
[ { "created": "Wed, 18 Oct 2023 14:39:25 GMT", "version": "v1" }, { "created": "Fri, 20 Oct 2023 16:17:58 GMT", "version": "v2" }, { "created": "Wed, 13 Dec 2023 13:08:29 GMT", "version": "v3" } ]
2023-12-14
[ [ "Luo", "Feng", "" ], [ "Xiang", "Jinxi", "" ], [ "Zhang", "Jun", "" ], [ "Han", "Xiao", "" ], [ "Yang", "Wei", "" ] ]
The recent use of diffusion prior, enhanced by pre-trained text-image models, has markedly elevated the performance of image super-resolution (SR). To alleviate the huge computational cost required by pixel-based diffusion SR, latent-based methods utilize a feature encoder to transform the image and then implement the ...
1806.07842
Yuri G. Gordienko
Olga Barkova, Natalia Pysarevska, Oleg Allenin, Serhii Hamotsky, Nikita Gordienko, Vladyslav Sarnatskyi, Vadym Ovcharenko, Mariia Tkachenko, Yurii Gordienko, Sergei Stirenko
Gamification for Education of the Digitally Native Generation by Means of Virtual Reality, Augmented Reality, Machine Learning, and Brain-Computing Interfaces in Museums
16 pages, 8 figures, http://uncommonculture.org/ojs/index.php/UC/article/view/9238
Uncommon Culture, vol. 7, no.1/2(13/14), pp.86-101 (2018)
null
null
cs.CY cs.DL cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Particularly close attention is being paid today among researchers in social science disciplines to aspects of learning in the digital age, especially for the Digitally Native Generation. In the context of museums, the question is: how can rich learning experiences be provided for increasingly technologically advance...
[ { "created": "Wed, 20 Jun 2018 17:03:52 GMT", "version": "v1" } ]
2018-06-21
[ [ "Barkova", "Olga", "" ], [ "Pysarevska", "Natalia", "" ], [ "Allenin", "Oleg", "" ], [ "Hamotsky", "Serhii", "" ], [ "Gordienko", "Nikita", "" ], [ "Sarnatskyi", "Vladyslav", "" ], [ "Ovcharenko", "Vadym", ...
Particularly close attention is being paid today among researchers in social science disciplines to aspects of learning in the digital age, especially for the Digitally Native Generation. In the context of museums, the question is: how can rich learning experiences be provided for increasingly technologically advanced ...
1411.2132
George Grispos
George Grispos, William Bradley Glisson, J. Harold Pardue, Mike Dickson
Identifying User Behavior from Residual Data in Cloud-based Synchronized Apps
Please cite this paper as: G. Grispos, W.B. Glisson, J.H. Pardue and M. Dickson (2014). Identifying User Behavior from Residual Data in Cloud-based Synchronized Apps. Conference on Information Systems Applied Research (CONISAR 2014), 6-9 November 2014, Baltimore Maryland, USA
null
null
null
cs.CR cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As the distinction between personal and organizational device usage continues to blur, the combination of applications that interact increases the need to investigate potential security issues. Although security and forensic researchers have been able to recover a variety of artifacts, empirical research has not exam...
[ { "created": "Sat, 8 Nov 2014 16:01:33 GMT", "version": "v1" } ]
2014-11-11
[ [ "Grispos", "George", "" ], [ "Glisson", "William Bradley", "" ], [ "Pardue", "J. Harold", "" ], [ "Dickson", "Mike", "" ] ]
As the distinction between personal and organizational device usage continues to blur, the combination of applications that interact increases the need to investigate potential security issues. Although security and forensic researchers have been able to recover a variety of artifacts, empirical research has not examin...
2207.04183
Haoxuan Che
Haoxuan Che and Haibo Jin and Hao Chen
Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement
Accepted by MICCAI22
null
10.1007/978-3-031-16437-8_50
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diabetic retinopathy (DR) and diabetic macular edema (DME) are leading causes of permanent blindness worldwide. Designing an automatic grading system with good generalization ability for DR and DME is vital in clinical practice. However, prior works either grade DR or DME independently, without considering internal c...
[ { "created": "Sat, 9 Jul 2022 03:02:36 GMT", "version": "v1" }, { "created": "Sun, 26 Mar 2023 18:05:48 GMT", "version": "v2" } ]
2023-03-28
[ [ "Che", "Haoxuan", "" ], [ "Jin", "Haibo", "" ], [ "Chen", "Hao", "" ] ]
Diabetic retinopathy (DR) and diabetic macular edema (DME) are leading causes of permanent blindness worldwide. Designing an automatic grading system with good generalization ability for DR and DME is vital in clinical practice. However, prior works either grade DR or DME independently, without considering internal cor...
2203.02167
Liang Wang
Liang Wang, Wei Zhao, Zhuoyu Wei, Jingming Liu
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models
ACL 2022, 14 pages
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Knowledge graph completion (KGC) aims to reason over known facts and infer the missing links. Text-based methods such as KGBERT (Yao et al., 2019) learn entity representations from natural language descriptions, and have the potential for inductive KGC. However, the performance of text-based methods still largely lag...
[ { "created": "Fri, 4 Mar 2022 07:36:30 GMT", "version": "v1" } ]
2022-03-07
[ [ "Wang", "Liang", "" ], [ "Zhao", "Wei", "" ], [ "Wei", "Zhuoyu", "" ], [ "Liu", "Jingming", "" ] ]
Knowledge graph completion (KGC) aims to reason over known facts and infer the missing links. Text-based methods such as KGBERT (Yao et al., 2019) learn entity representations from natural language descriptions, and have the potential for inductive KGC. However, the performance of text-based methods still largely lag b...
1109.1325
Edith Cohen
Edith Cohen and Haim Kaplan
Get the Most out of Your Sample: Optimal Unbiased Estimators using Partial Information
This is a full version of a PODS 2011 paper
null
null
null
cs.DB cs.DS cs.NI math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Random sampling is an essential tool in the processing and transmission of data. It is used to summarize data too large to store or manipulate and meet resource constraints on bandwidth or battery power. Estimators that are applied to the sample facilitate fast approximate processing of queries posed over the origina...
[ { "created": "Tue, 6 Sep 2011 23:42:06 GMT", "version": "v1" } ]
2015-03-19
[ [ "Cohen", "Edith", "" ], [ "Kaplan", "Haim", "" ] ]
Random sampling is an essential tool in the processing and transmission of data. It is used to summarize data too large to store or manipulate and meet resource constraints on bandwidth or battery power. Estimators that are applied to the sample facilitate fast approximate processing of queries posed over the original ...
2406.16384
Jaime Corsetti
Jaime Corsetti, Davide Boscaini, Francesco Giuliari, Changjae Oh, Andrea Cavallaro, Fabio Poiesi
High-resolution open-vocabulary object 6D pose estimation
Technical report. Extension of CVPR paper "Open-vocabulary object 6D pose estimation". Project page: https://jcorsetti.github.io/oryon
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The generalisation to unseen objects in the 6D pose estimation task is very challenging. While Vision-Language Models (VLMs) enable using natural language descriptions to support 6D pose estimation of unseen objects, these solutions underperform compared to model-based methods. In this work we present Horyon, an open...
[ { "created": "Mon, 24 Jun 2024 07:53:46 GMT", "version": "v1" }, { "created": "Thu, 11 Jul 2024 17:03:29 GMT", "version": "v2" } ]
2024-07-12
[ [ "Corsetti", "Jaime", "" ], [ "Boscaini", "Davide", "" ], [ "Giuliari", "Francesco", "" ], [ "Oh", "Changjae", "" ], [ "Cavallaro", "Andrea", "" ], [ "Poiesi", "Fabio", "" ] ]
The generalisation to unseen objects in the 6D pose estimation task is very challenging. While Vision-Language Models (VLMs) enable using natural language descriptions to support 6D pose estimation of unseen objects, these solutions underperform compared to model-based methods. In this work we present Horyon, an open-v...
1602.04860
Thorsten Wissmann
G. A. Kavvos
Dual-Context Calculi for Modal Logic
Full version of article previously presented at LICS 2017 (see arXiv:1602.04860v4 or doi: 10.1109/LICS.2017.8005089)
Logical Methods in Computer Science, Volume 16, Issue 3 (August 19, 2020) lmcs:4740
10.23638/LMCS-16(3:10)2020
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
We present natural deduction systems and associated modal lambda calculi for the necessity fragments of the normal modal logics K, T, K4, GL and S4. These systems are in the dual-context style: they feature two distinct zones of assumptions, one of which can be thought as modal, and the other as intuitionistic. We sh...
[ { "created": "Mon, 15 Feb 2016 23:03:24 GMT", "version": "v1" }, { "created": "Sat, 7 Jan 2017 13:03:59 GMT", "version": "v2" }, { "created": "Fri, 3 Mar 2017 16:21:21 GMT", "version": "v3" }, { "created": "Wed, 16 Aug 2017 00:04:52 GMT", "version": "v4" }, { "cre...
2023-06-22
[ [ "Kavvos", "G. A.", "" ] ]
We present natural deduction systems and associated modal lambda calculi for the necessity fragments of the normal modal logics K, T, K4, GL and S4. These systems are in the dual-context style: they feature two distinct zones of assumptions, one of which can be thought as modal, and the other as intuitionistic. We show...
2208.08982
Pierre-Olivier C\^ot\'e
Pierre-Olivier C\^ot\'e, Amin Nikanjam, Rached Bouchoucha, Foutse Khomh
Quality issues in Machine Learning Software Systems
Accepted as a registered report by ICSME 2022
null
null
null
cs.SE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Context: An increasing demand is observed in various domains to employ Machine Learning (ML) for solving complex problems. ML models are implemented as software components and deployed in Machine Learning Software Systems (MLSSs). Problem: There is a strong need for ensuring the serving quality of MLSSs. False or poo...
[ { "created": "Thu, 18 Aug 2022 17:55:18 GMT", "version": "v1" }, { "created": "Mon, 22 Aug 2022 17:43:10 GMT", "version": "v2" } ]
2022-08-23
[ [ "Côté", "Pierre-Olivier", "" ], [ "Nikanjam", "Amin", "" ], [ "Bouchoucha", "Rached", "" ], [ "Khomh", "Foutse", "" ] ]
Context: An increasing demand is observed in various domains to employ Machine Learning (ML) for solving complex problems. ML models are implemented as software components and deployed in Machine Learning Software Systems (MLSSs). Problem: There is a strong need for ensuring the serving quality of MLSSs. False or poor ...
2406.18776
Muhammed Saeed
Muhammed Saeed, Peter Bourgonje, Vera Demberg
Implicit Discourse Relation Classification For Nigerian Pidgin
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Despite attempts to make Large Language Models multi-lingual, many of the world's languages are still severely under-resourced. This widens the performance gap between NLP and AI applications aimed at well-financed, and those aimed at less-resourced languages. In this paper, we focus on Nigerian Pidgin (NP), which is...
[ { "created": "Wed, 26 Jun 2024 22:10:15 GMT", "version": "v1" } ]
2024-06-28
[ [ "Saeed", "Muhammed", "" ], [ "Bourgonje", "Peter", "" ], [ "Demberg", "Vera", "" ] ]
Despite attempts to make Large Language Models multi-lingual, many of the world's languages are still severely under-resourced. This widens the performance gap between NLP and AI applications aimed at well-financed, and those aimed at less-resourced languages. In this paper, we focus on Nigerian Pidgin (NP), which is s...
2204.11509
Tobias Pfandzelter
Tobias Pfandzelter and S\"oren Henning and Trever Schirmer and Wilhelm Hasselbring and David Bermbach
Streaming vs. Functions: A Cost Perspective on Cloud Event Processing
Accepted for Publication at the 10th IEEE International Conference on Cloud Engineering (IC2E 2022)
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In cloud event processing, data generated at the edge is processed in real-time by cloud resources. Both distributed stream processing (DSP) and Function-as-a-Service (FaaS) have been proposed to implement such event processing applications. FaaS emphasizes fast development and easy operation, while DSP emphasizes ef...
[ { "created": "Mon, 25 Apr 2022 08:42:39 GMT", "version": "v1" }, { "created": "Fri, 12 Aug 2022 15:28:26 GMT", "version": "v2" } ]
2022-08-15
[ [ "Pfandzelter", "Tobias", "" ], [ "Henning", "Sören", "" ], [ "Schirmer", "Trever", "" ], [ "Hasselbring", "Wilhelm", "" ], [ "Bermbach", "David", "" ] ]
In cloud event processing, data generated at the edge is processed in real-time by cloud resources. Both distributed stream processing (DSP) and Function-as-a-Service (FaaS) have been proposed to implement such event processing applications. FaaS emphasizes fast development and easy operation, while DSP emphasizes effi...
1403.1279
Hamid A. Toussi
Hamid A. Toussi and Bahram Sadeghi Bigham
Design, Implementation and Evaluation of MTBDD based Fuzzy Sets and Binary Fuzzy Relations
A shorter version was published in Proceeding of International Conference on Computer, Information Technology and Digital Media, Tehran, Iran, 2013
null
null
null
cs.DS cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For fast and efficient analysis of large sets of fuzzy data, elimination of redundancies in the memory representation is needed. We used MTBDDs as the underlying data-structure to represent fuzzy sets and binary fuzzy relations. This leads to elimination of redundancies in the representation, less computations, and f...
[ { "created": "Wed, 5 Mar 2014 21:48:58 GMT", "version": "v1" } ]
2014-03-07
[ [ "Toussi", "Hamid A.", "" ], [ "Bigham", "Bahram Sadeghi", "" ] ]
For fast and efficient analysis of large sets of fuzzy data, elimination of redundancies in the memory representation is needed. We used MTBDDs as the underlying data-structure to represent fuzzy sets and binary fuzzy relations. This leads to elimination of redundancies in the representation, less computations, and fas...
1302.6840
Runping Qi
Runping Qi, Nevin Lianwen Zhang, David L. Poole
Solving Asymmetric Decision Problems with Influence Diagrams
Appears in Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI1994)
null
null
UAI-P-1994-PG-491-497
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While influence diagrams have many advantages as a representation framework for Bayesian decision problems, they have a serious drawback in handling asymmetric decision problems. To be represented in an influence diagram, an asymmetric decision problem must be symmetrized. A considerable amount of unnecessary computa...
[ { "created": "Wed, 27 Feb 2013 14:19:16 GMT", "version": "v1" } ]
2013-02-28
[ [ "Qi", "Runping", "" ], [ "Zhang", "Nevin Lianwen", "" ], [ "Poole", "David L.", "" ] ]
While influence diagrams have many advantages as a representation framework for Bayesian decision problems, they have a serious drawback in handling asymmetric decision problems. To be represented in an influence diagram, an asymmetric decision problem must be symmetrized. A considerable amount of unnecessary computati...
1811.03196
Yanchun Xie
Yanchun Xie, Jimin Xiao, Kaizhu Huang, Jeyarajan Thiyagalingam, Yao Zhao
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning
13 pages, 11 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Correlation filter has been proven to be an effective tool for a number of approaches in visual tracking, particularly for seeking a good balance between tracking accuracy and speed. However, correlation filter based models are susceptible to wrong updates stemming from inaccurate tracking results. To date, little ef...
[ { "created": "Thu, 8 Nov 2018 00:24:42 GMT", "version": "v1" } ]
2018-11-09
[ [ "Xie", "Yanchun", "" ], [ "Xiao", "Jimin", "" ], [ "Huang", "Kaizhu", "" ], [ "Thiyagalingam", "Jeyarajan", "" ], [ "Zhao", "Yao", "" ] ]
Correlation filter has been proven to be an effective tool for a number of approaches in visual tracking, particularly for seeking a good balance between tracking accuracy and speed. However, correlation filter based models are susceptible to wrong updates stemming from inaccurate tracking results. To date, little effo...
2305.18193
Igor Spasojevic
Igor Spasojevic, Xu Liu, Alejandro Ribeiro, George J. Pappas, Vijay Kumar
Active Collaborative Localization in Heterogeneous Robot Teams
To appear in Robotics: Science and Systems (RSS) 2023
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Accurate and robust state estimation is critical for autonomous navigation of robot teams. This task is especially challenging for large groups of size, weight, and power (SWAP) constrained aerial robots operating in perceptually-degraded GPS-denied environments. We can, however, actively increase the amount of perce...
[ { "created": "Mon, 29 May 2023 16:44:06 GMT", "version": "v1" } ]
2023-05-30
[ [ "Spasojevic", "Igor", "" ], [ "Liu", "Xu", "" ], [ "Ribeiro", "Alejandro", "" ], [ "Pappas", "George J.", "" ], [ "Kumar", "Vijay", "" ] ]
Accurate and robust state estimation is critical for autonomous navigation of robot teams. This task is especially challenging for large groups of size, weight, and power (SWAP) constrained aerial robots operating in perceptually-degraded GPS-denied environments. We can, however, actively increase the amount of percept...
1608.02257
Chang Liu
Chang Liu, Bo Li, Yevgeniy Vorobeychik, Alina Oprea
Robust High-Dimensional Linear Regression
null
null
null
null
cs.LG cs.CR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The effectiveness of supervised learning techniques has made them ubiquitous in research and practice. In high-dimensional settings, supervised learning commonly relies on dimensionality reduction to improve performance and identify the most important factors in predicting outcomes. However, the economic importance o...
[ { "created": "Sun, 7 Aug 2016 19:03:52 GMT", "version": "v1" }, { "created": "Tue, 9 Aug 2016 20:20:17 GMT", "version": "v2" } ]
2016-08-11
[ [ "Liu", "Chang", "" ], [ "Li", "Bo", "" ], [ "Vorobeychik", "Yevgeniy", "" ], [ "Oprea", "Alina", "" ] ]
The effectiveness of supervised learning techniques has made them ubiquitous in research and practice. In high-dimensional settings, supervised learning commonly relies on dimensionality reduction to improve performance and identify the most important factors in predicting outcomes. However, the economic importance of ...
2407.19547
Yushi Huang
Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao
Temporal Feature Matters: A Framework for Diffusion Model Quantization
arXiv admin note: substantial text overlap with arXiv:2311.16503
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The Diffusion models, widely used for image generation, face significant challenges related to their broad applicability due to prolonged inference times and high memory demands. Efficient Post-Training Quantization (PTQ) is crucial to address these issues. However, unlike traditional models, diffusion models critica...
[ { "created": "Sun, 28 Jul 2024 17:46:15 GMT", "version": "v1" }, { "created": "Wed, 7 Aug 2024 20:43:10 GMT", "version": "v2" } ]
2024-08-09
[ [ "Huang", "Yushi", "" ], [ "Gong", "Ruihao", "" ], [ "Liu", "Xianglong", "" ], [ "Liu", "Jing", "" ], [ "Li", "Yuhang", "" ], [ "Lu", "Jiwen", "" ], [ "Tao", "Dacheng", "" ] ]
The Diffusion models, widely used for image generation, face significant challenges related to their broad applicability due to prolonged inference times and high memory demands. Efficient Post-Training Quantization (PTQ) is crucial to address these issues. However, unlike traditional models, diffusion models criticall...
1412.3709
Abel Gonzalez-Garcia
Abel Gonzalez-Garcia, Alexander Vezhnevets, Vittorio Ferrari
An active search strategy for efficient object class detection
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Object class detectors typically apply a window classifier to all the windows in a large set, either in a sliding window manner or using object proposals. In this paper, we develop an active search strategy that sequentially chooses the next window to evaluate based on all the information gathered before. This result...
[ { "created": "Thu, 11 Dec 2014 16:23:38 GMT", "version": "v1" }, { "created": "Tue, 14 Apr 2015 11:29:51 GMT", "version": "v2" } ]
2015-04-15
[ [ "Gonzalez-Garcia", "Abel", "" ], [ "Vezhnevets", "Alexander", "" ], [ "Ferrari", "Vittorio", "" ] ]
Object class detectors typically apply a window classifier to all the windows in a large set, either in a sliding window manner or using object proposals. In this paper, we develop an active search strategy that sequentially chooses the next window to evaluate based on all the information gathered before. This results ...
2302.13375
Linghao Chen
Linghao Chen, Yunzhou Song, Hujun Bao, Xiaowei Zhou
Perceiving Unseen 3D Objects by Poking the Objects
Accepted to ICRA 2023. Project page: https://zju3dv.github.io/poking_perception
null
null
null
cs.RO cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel approach to interactive 3D object perception for robots. Unlike previous perception algorithms that rely on known object models or a large amount of annotated training data, we propose a poking-based approach that automatically discovers and reconstructs 3D objects. The poking process not only enab...
[ { "created": "Sun, 26 Feb 2023 18:22:13 GMT", "version": "v1" } ]
2023-02-28
[ [ "Chen", "Linghao", "" ], [ "Song", "Yunzhou", "" ], [ "Bao", "Hujun", "" ], [ "Zhou", "Xiaowei", "" ] ]
We present a novel approach to interactive 3D object perception for robots. Unlike previous perception algorithms that rely on known object models or a large amount of annotated training data, we propose a poking-based approach that automatically discovers and reconstructs 3D objects. The poking process not only enable...
2406.04268
Michael Dennis
Edward Hughes, Michael Dennis, Jack Parker-Holder, Feryal Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktaschel
Open-Endedness is Essential for Artificial Superhuman Intelligence
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
In recent years there has been a tremendous surge in the general capabilities of AI systems, mainly fuelled by training foundation models on internetscale data. Nevertheless, the creation of openended, ever self-improving AI remains elusive. In this position paper, we argue that the ingredients are now in place to ac...
[ { "created": "Thu, 6 Jun 2024 17:15:02 GMT", "version": "v1" } ]
2024-06-07
[ [ "Hughes", "Edward", "" ], [ "Dennis", "Michael", "" ], [ "Parker-Holder", "Jack", "" ], [ "Behbahani", "Feryal", "" ], [ "Mavalankar", "Aditi", "" ], [ "Shi", "Yuge", "" ], [ "Schaul", "Tom", "" ], [ ...
In recent years there has been a tremendous surge in the general capabilities of AI systems, mainly fuelled by training foundation models on internetscale data. Nevertheless, the creation of openended, ever self-improving AI remains elusive. In this position paper, we argue that the ingredients are now in place to achi...
2103.05793
Zhifeng Kong
Zhifeng Kong, Kamalika Chaudhuri
Universal Approximation of Residual Flows in Maximum Mean Discrepancy
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Normalizing flows are a class of flexible deep generative models that offer easy likelihood computation. Despite their empirical success, there is little theoretical understanding of their expressiveness. In this work, we study residual flows, a class of normalizing flows composed of Lipschitz residual blocks. We pro...
[ { "created": "Wed, 10 Mar 2021 00:16:33 GMT", "version": "v1" }, { "created": "Fri, 25 Jun 2021 03:38:13 GMT", "version": "v2" } ]
2021-06-28
[ [ "Kong", "Zhifeng", "" ], [ "Chaudhuri", "Kamalika", "" ] ]
Normalizing flows are a class of flexible deep generative models that offer easy likelihood computation. Despite their empirical success, there is little theoretical understanding of their expressiveness. In this work, we study residual flows, a class of normalizing flows composed of Lipschitz residual blocks. We prove...
2304.10537
Ziyu Wan
Ziyu Wan, Christian Richardt, Alja\v{z} Bo\v{z}i\v{c}, Chao Li, Vijay Rengarajan, Seonghyeon Nam, Xiaoyu Xiang, Tuotuo Li, Bo Zhu, Rakesh Ranjan, Jing Liao
Learning Neural Duplex Radiance Fields for Real-Time View Synthesis
CVPR 2023. Project page: http://raywzy.com/NDRF
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural radiance fields (NeRFs) enable novel view synthesis with unprecedented visual quality. However, to render photorealistic images, NeRFs require hundreds of deep multilayer perceptron (MLP) evaluations - for each pixel. This is prohibitively expensive and makes real-time rendering infeasible, even on powerful mo...
[ { "created": "Thu, 20 Apr 2023 17:59:52 GMT", "version": "v1" } ]
2023-04-21
[ [ "Wan", "Ziyu", "" ], [ "Richardt", "Christian", "" ], [ "Božič", "Aljaž", "" ], [ "Li", "Chao", "" ], [ "Rengarajan", "Vijay", "" ], [ "Nam", "Seonghyeon", "" ], [ "Xiang", "Xiaoyu", "" ], [ "Li", ...
Neural radiance fields (NeRFs) enable novel view synthesis with unprecedented visual quality. However, to render photorealistic images, NeRFs require hundreds of deep multilayer perceptron (MLP) evaluations - for each pixel. This is prohibitively expensive and makes real-time rendering infeasible, even on powerful mode...
2109.00627
Guangzhi Sun
Guangzhi Sun, Chao Zhang, Philip C. Woodland
Tree-constrained Pointer Generator for End-to-end Contextual Speech Recognition
To appear in ASRU 2021
null
null
null
cs.CL cs.SD
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Contextual knowledge is important for real-world automatic speech recognition (ASR) applications. In this paper, a novel tree-constrained pointer generator (TCPGen) component is proposed that incorporates such knowledge as a list of biasing words into both attention-based encoder-decoder and transducer end-to-end ASR...
[ { "created": "Wed, 1 Sep 2021 21:41:59 GMT", "version": "v1" }, { "created": "Fri, 3 Sep 2021 09:38:53 GMT", "version": "v2" }, { "created": "Fri, 17 Sep 2021 15:47:21 GMT", "version": "v3" } ]
2021-09-20
[ [ "Sun", "Guangzhi", "" ], [ "Zhang", "Chao", "" ], [ "Woodland", "Philip C.", "" ] ]
Contextual knowledge is important for real-world automatic speech recognition (ASR) applications. In this paper, a novel tree-constrained pointer generator (TCPGen) component is proposed that incorporates such knowledge as a list of biasing words into both attention-based encoder-decoder and transducer end-to-end ASR m...
1912.06088
Dibya Ghosh
Dibya Ghosh, Abhishek Gupta, Ashwin Reddy, Justin Fu, Coline Devin, Benjamin Eysenbach, Sergey Levine
Learning to Reach Goals via Iterated Supervised Learning
First two authors contributed equally. Code available at https://github.com/dibyaghosh/gcsl
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current reinforcement learning (RL) algorithms can be brittle and difficult to use, especially when learning goal-reaching behaviors from sparse rewards. Although supervised imitation learning provides a simple and stable alternative, it requires access to demonstrations from a human supervisor. In this paper, we stu...
[ { "created": "Thu, 12 Dec 2019 17:26:47 GMT", "version": "v1" }, { "created": "Fri, 13 Dec 2019 01:42:38 GMT", "version": "v2" }, { "created": "Wed, 10 Jun 2020 17:22:46 GMT", "version": "v3" }, { "created": "Fri, 2 Oct 2020 19:49:10 GMT", "version": "v4" } ]
2020-10-06
[ [ "Ghosh", "Dibya", "" ], [ "Gupta", "Abhishek", "" ], [ "Reddy", "Ashwin", "" ], [ "Fu", "Justin", "" ], [ "Devin", "Coline", "" ], [ "Eysenbach", "Benjamin", "" ], [ "Levine", "Sergey", "" ] ]
Current reinforcement learning (RL) algorithms can be brittle and difficult to use, especially when learning goal-reaching behaviors from sparse rewards. Although supervised imitation learning provides a simple and stable alternative, it requires access to demonstrations from a human supervisor. In this paper, we study...
2011.00057
Nishant Raj
Harshit Jain and Nishant Raj and Suyash Mishra
A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification
null
BMC Bioinformatics 22, 330 (2021)
10.1186/s12859-021-04249-7
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Extraction of adverse drug events from biomedical literature and other textual data is an important component to monitor drug-safety and this has attracted attention of many researchers in healthcare. Existing works are more pivoted around entity-relation extraction using bidirectional long short term memory networks...
[ { "created": "Fri, 30 Oct 2020 19:09:48 GMT", "version": "v1" } ]
2021-10-22
[ [ "Jain", "Harshit", "" ], [ "Raj", "Nishant", "" ], [ "Mishra", "Suyash", "" ] ]
Extraction of adverse drug events from biomedical literature and other textual data is an important component to monitor drug-safety and this has attracted attention of many researchers in healthcare. Existing works are more pivoted around entity-relation extraction using bidirectional long short term memory networks (...
1810.10615
Guilherme Miguel Teixeira Rito
Guilherme Rito and Herv\'e Paulino
Scheduling computations with provably low synchronization overheads
null
null
null
null
cs.DS cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Work Stealing has been a very successful algorithm for scheduling parallel computations, and is known to achieve high performances even for computations exhibiting fine-grained parallelism. We present a variant of \ws\ that provably avoids most synchronization overheads by keeping processors' deques entirely private ...
[ { "created": "Wed, 24 Oct 2018 20:54:48 GMT", "version": "v1" }, { "created": "Fri, 26 Apr 2019 18:32:59 GMT", "version": "v2" } ]
2019-04-30
[ [ "Rito", "Guilherme", "" ], [ "Paulino", "Hervé", "" ] ]
Work Stealing has been a very successful algorithm for scheduling parallel computations, and is known to achieve high performances even for computations exhibiting fine-grained parallelism. We present a variant of \ws\ that provably avoids most synchronization overheads by keeping processors' deques entirely private by...
2210.15082
Nan Wang
Nan Wang and Ricardo G. Sanfelice
A Rapidly-Exploring Random Trees Motion Planning Algorithm for Hybrid Dynamical Systems
This paper has been accepted for publication at the 2022 Conference of Decision and Control (CDC)
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a rapidly-exploring random trees (RRT) algorithm to solve the motion planning problem for hybrid systems. At each iteration, the proposed algorithm, called HyRRT, randomly picks a state sample and extends the search tree by flow or jump, which is also chosen randomly when both regimes are possible...
[ { "created": "Wed, 26 Oct 2022 23:36:30 GMT", "version": "v1" } ]
2022-10-28
[ [ "Wang", "Nan", "" ], [ "Sanfelice", "Ricardo G.", "" ] ]
This paper proposes a rapidly-exploring random trees (RRT) algorithm to solve the motion planning problem for hybrid systems. At each iteration, the proposed algorithm, called HyRRT, randomly picks a state sample and extends the search tree by flow or jump, which is also chosen randomly when both regimes are possible. ...
2402.11542
Xinbang Dai
Xinbang Dai, Huiying Li, Guilin Qi
Question Answering Over Spatio-Temporal Knowledge Graph
11 pages, 4 figures
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Spatio-temporal knowledge graphs (STKGs) extend the concept of knowledge graphs (KGs) by incorporating time and location information. While the research community's focus on Knowledge Graph Question Answering (KGQA), the field of answering questions incorporating both spatio-temporal information based on STKGs remain...
[ { "created": "Sun, 18 Feb 2024 10:44:48 GMT", "version": "v1" } ]
2024-02-20
[ [ "Dai", "Xinbang", "" ], [ "Li", "Huiying", "" ], [ "Qi", "Guilin", "" ] ]
Spatio-temporal knowledge graphs (STKGs) extend the concept of knowledge graphs (KGs) by incorporating time and location information. While the research community's focus on Knowledge Graph Question Answering (KGQA), the field of answering questions incorporating both spatio-temporal information based on STKGs remains ...
2309.04654
Huaibo Zhao
Huaibo Zhao, Yosuke Higuchi, Yusuke Kida, Tetsuji Ogawa, Tetsunori Kobayashi
Mask-CTC-based Encoder Pre-training for Streaming End-to-End Speech Recognition
Accepted to EUSIPCO 2023
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
Achieving high accuracy with low latency has always been a challenge in streaming end-to-end automatic speech recognition (ASR) systems. By attending to more future contexts, a streaming ASR model achieves higher accuracy but results in larger latency, which hurts the streaming performance. In the Mask-CTC framework,...
[ { "created": "Sat, 9 Sep 2023 01:05:59 GMT", "version": "v1" } ]
2023-09-12
[ [ "Zhao", "Huaibo", "" ], [ "Higuchi", "Yosuke", "" ], [ "Kida", "Yusuke", "" ], [ "Ogawa", "Tetsuji", "" ], [ "Kobayashi", "Tetsunori", "" ] ]
Achieving high accuracy with low latency has always been a challenge in streaming end-to-end automatic speech recognition (ASR) systems. By attending to more future contexts, a streaming ASR model achieves higher accuracy but results in larger latency, which hurts the streaming performance. In the Mask-CTC framework, a...
2303.15595
Robert H\"onig
Robert H\"onig and Jan Ackermann, Mingyuan Chi
Bi-Encoder Cascades for Efficient Image Search
Under review as a short paper at the ICCV '23 RCV workshop
null
null
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
Modern neural encoders offer unprecedented text-image retrieval (TIR) accuracy, but their high computational cost impedes an adoption to large-scale image searches. To lower this cost, model cascades use an expensive encoder to refine the ranking of a cheap encoder. However, existing cascading algorithms focus on cro...
[ { "created": "Mon, 27 Mar 2023 20:54:49 GMT", "version": "v1" }, { "created": "Fri, 4 Aug 2023 14:42:02 GMT", "version": "v2" } ]
2023-08-07
[ [ "Hönig", "Robert", "" ], [ "Ackermann", "Jan", "" ], [ "Chi", "Mingyuan", "" ] ]
Modern neural encoders offer unprecedented text-image retrieval (TIR) accuracy, but their high computational cost impedes an adoption to large-scale image searches. To lower this cost, model cascades use an expensive encoder to refine the ranking of a cheap encoder. However, existing cascading algorithms focus on cross...
1905.02320
Songyao Jiang
Songyao Jiang, Hongfu Liu, Yue Wu, Yun Fu
Spatially Constrained GAN for Face and Fashion Synthesis
Accepted to IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2021
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Image generation has raised tremendous attention in both academic and industrial areas, especially for the conditional and target-oriented image generation, such as criminal portrait and fashion design. Although the current studies have achieved preliminary results along this direction, they always focus on class lab...
[ { "created": "Tue, 7 May 2019 02:00:03 GMT", "version": "v1" }, { "created": "Mon, 6 Dec 2021 08:02:15 GMT", "version": "v2" } ]
2021-12-07
[ [ "Jiang", "Songyao", "" ], [ "Liu", "Hongfu", "" ], [ "Wu", "Yue", "" ], [ "Fu", "Yun", "" ] ]
Image generation has raised tremendous attention in both academic and industrial areas, especially for the conditional and target-oriented image generation, such as criminal portrait and fashion design. Although the current studies have achieved preliminary results along this direction, they always focus on class label...
2102.07482
Pedro Gomes
Pedro Gomes, Silvia Rossi, Laura Toni
Spatio-temporal Graph-RNN for Point Cloud Prediction
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In this paper, we propose an end-to-end learning network to predict future frames in a point cloud sequence. As main novelty, an initial layer learns topological information of point clouds as geometric features, to form representative spatio-temporal neighborhoods. This module is followed by multiple Graph-RNN cells...
[ { "created": "Mon, 15 Feb 2021 11:39:40 GMT", "version": "v1" }, { "created": "Wed, 17 Feb 2021 11:43:31 GMT", "version": "v2" }, { "created": "Mon, 22 Feb 2021 15:10:02 GMT", "version": "v3" } ]
2021-02-23
[ [ "Gomes", "Pedro", "" ], [ "Rossi", "Silvia", "" ], [ "Toni", "Laura", "" ] ]
In this paper, we propose an end-to-end learning network to predict future frames in a point cloud sequence. As main novelty, an initial layer learns topological information of point clouds as geometric features, to form representative spatio-temporal neighborhoods. This module is followed by multiple Graph-RNN cells. ...
2307.07131
Holden Lee
Holden Lee
Parallelising Glauber dynamics
v3: Corrected proposal distribution for Parallel Ising, obtained polylog dependence on epsilon, added p-spin model. To appear in RANDOM 2024
null
null
null
cs.DS math.PR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For distributions over discrete product spaces $\prod_{i=1}^n \Omega_i'$, Glauber dynamics is a Markov chain that at each step, resamples a random coordinate conditioned on the other coordinates. We show that $k$-Glauber dynamics, which resamples a random subset of $k$ coordinates, mixes $k$ times faster in $\chi^2$-...
[ { "created": "Fri, 14 Jul 2023 02:59:28 GMT", "version": "v1" }, { "created": "Tue, 12 Sep 2023 20:06:23 GMT", "version": "v2" }, { "created": "Tue, 28 Nov 2023 01:21:39 GMT", "version": "v3" }, { "created": "Wed, 10 Jul 2024 08:11:28 GMT", "version": "v4" } ]
2024-07-11
[ [ "Lee", "Holden", "" ] ]
For distributions over discrete product spaces $\prod_{i=1}^n \Omega_i'$, Glauber dynamics is a Markov chain that at each step, resamples a random coordinate conditioned on the other coordinates. We show that $k$-Glauber dynamics, which resamples a random subset of $k$ coordinates, mixes $k$ times faster in $\chi^2$-di...
2209.05170
Sarit Kraus
Yohai Trabelsi, Abhijin Adiga, Sarit Kraus, S.S. Ravi
Resource Allocation to Agents with Restrictions: Maximizing Likelihood with Minimum Compromise
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Many scenarios where agents with restrictions compete for resources can be cast as maximum matching problems on bipartite graphs. Our focus is on resource allocation problems where agents may have restrictions that make them incompatible with some resources. We assume that a Principle chooses a maximum matching rando...
[ { "created": "Mon, 12 Sep 2022 11:58:19 GMT", "version": "v1" } ]
2022-09-13
[ [ "Trabelsi", "Yohai", "" ], [ "Adiga", "Abhijin", "" ], [ "Kraus", "Sarit", "" ], [ "Ravi", "S. S.", "" ] ]
Many scenarios where agents with restrictions compete for resources can be cast as maximum matching problems on bipartite graphs. Our focus is on resource allocation problems where agents may have restrictions that make them incompatible with some resources. We assume that a Principle chooses a maximum matching randoml...
2001.05171
\c{C}a\u{g}atay Demiralp
Xiong Zhang and Jonathan Engel and Sara Evensen and Yuliang Li and \c{C}a\u{g}atay Demiralp and Wang-Chiew Tan
Teddy: A System for Interactive Review Analysis
CHI'20
null
null
null
cs.HC cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reviews are integral to e-commerce services and products. They contain a wealth of information about the opinions and experiences of users, which can help better understand consumer decisions and improve user experience with products and services. Today, data scientists analyze reviews by developing rules and models ...
[ { "created": "Wed, 15 Jan 2020 08:19:01 GMT", "version": "v1" } ]
2020-01-16
[ [ "Zhang", "Xiong", "" ], [ "Engel", "Jonathan", "" ], [ "Evensen", "Sara", "" ], [ "Li", "Yuliang", "" ], [ "Demiralp", "Çağatay", "" ], [ "Tan", "Wang-Chiew", "" ] ]
Reviews are integral to e-commerce services and products. They contain a wealth of information about the opinions and experiences of users, which can help better understand consumer decisions and improve user experience with products and services. Today, data scientists analyze reviews by developing rules and models to...
2401.12259
Sascha Ossowski
Holger Billhardt, Alberto Fern\'andez, Marin Lujak, Sascha Ossowski
Agreement Technologies for Coordination in Smart Cities
null
Applied Sciences, Volume 8, Issue 5 (2018)
10.3390/app8050816
null
cs.MA cs.AI
http://creativecommons.org/licenses/by/4.0/
Many challenges in today's society can be tackled by distributed open systems. This is particularly true for domains that are commonly perceived under the umbrella of smart cities, such as intelligent transportation, smart energy grids, or participative governance. When designing computer applications for these domai...
[ { "created": "Sun, 21 Jan 2024 17:43:08 GMT", "version": "v1" } ]
2024-01-24
[ [ "Billhardt", "Holger", "" ], [ "Fernández", "Alberto", "" ], [ "Lujak", "Marin", "" ], [ "Ossowski", "Sascha", "" ] ]
Many challenges in today's society can be tackled by distributed open systems. This is particularly true for domains that are commonly perceived under the umbrella of smart cities, such as intelligent transportation, smart energy grids, or participative governance. When designing computer applications for these domains...
2308.11103
Joel Niklaus
Alex Nyffenegger, Matthias St\"urmer, Joel Niklaus
Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models
Accepted to NAACL Findings 2024
null
null
null
cs.CL cs.AI cs.IR cs.LG
http://creativecommons.org/licenses/by/4.0/
Anonymity of both natural and legal persons in court rulings is a critical aspect of privacy protection in the European Union and Switzerland. With the advent of LLMs, concerns about large-scale re-identification of anonymized persons are growing. In accordance with the Federal Supreme Court of Switzerland, we explor...
[ { "created": "Tue, 22 Aug 2023 00:57:36 GMT", "version": "v1" }, { "created": "Sun, 19 May 2024 09:25:45 GMT", "version": "v2" } ]
2024-05-21
[ [ "Nyffenegger", "Alex", "" ], [ "Stürmer", "Matthias", "" ], [ "Niklaus", "Joel", "" ] ]
Anonymity of both natural and legal persons in court rulings is a critical aspect of privacy protection in the European Union and Switzerland. With the advent of LLMs, concerns about large-scale re-identification of anonymized persons are growing. In accordance with the Federal Supreme Court of Switzerland, we explore ...
2009.06390
Yuxi Huan
Yuxi Huan, Fan Wu, Michail Basios, Leslie Kanthan, Lingbo Li, Baowen Xu
IEO: Intelligent Evolutionary Optimisation for Hyperparameter Tuning
null
null
null
null
cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Hyperparameter optimisation is a crucial process in searching the optimal machine learning model. The efficiency of finding the optimal hyperparameter settings has been a big concern in recent researches since the optimisation process could be time-consuming, especially when the objective functions are highly expensi...
[ { "created": "Thu, 10 Sep 2020 18:47:04 GMT", "version": "v1" } ]
2020-09-15
[ [ "Huan", "Yuxi", "" ], [ "Wu", "Fan", "" ], [ "Basios", "Michail", "" ], [ "Kanthan", "Leslie", "" ], [ "Li", "Lingbo", "" ], [ "Xu", "Baowen", "" ] ]
Hyperparameter optimisation is a crucial process in searching the optimal machine learning model. The efficiency of finding the optimal hyperparameter settings has been a big concern in recent researches since the optimisation process could be time-consuming, especially when the objective functions are highly expensive...
1706.00722
Mohammad Hajiesmaili
Mohammad H. Hajiesmaili, Desmond Cai, and Enrique Mallada
Understanding the Inefficiency of Security-Constrained Economic Dispatch
null
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The security-constrained economic dispatch (SCED) problem tries to maintain the reliability of a power network by ensuring that a single failure does not lead to a global outage. The previous research has mainly investigated SCED by formulating the problem in different modalities, e.g. preventive or corrective, and d...
[ { "created": "Fri, 2 Jun 2017 15:25:26 GMT", "version": "v1" } ]
2017-06-05
[ [ "Hajiesmaili", "Mohammad H.", "" ], [ "Cai", "Desmond", "" ], [ "Mallada", "Enrique", "" ] ]
The security-constrained economic dispatch (SCED) problem tries to maintain the reliability of a power network by ensuring that a single failure does not lead to a global outage. The previous research has mainly investigated SCED by formulating the problem in different modalities, e.g. preventive or corrective, and dev...
2110.15231
Junjiao Tian
Junjiao Tian, Yen-Change Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data
A short version of the paper is accepted to NeurIPS DistShift Workshop 2021
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
Moving beyond testing on in-distribution data works on Out-of-Distribution (OOD) detection have recently increased in popularity. A recent attempt to categorize OOD data introduces the concept of near and far OOD detection. Specifically, prior works define characteristics of OOD data in terms of detection difficulty....
[ { "created": "Thu, 28 Oct 2021 15:42:55 GMT", "version": "v1" }, { "created": "Sun, 21 Nov 2021 20:35:07 GMT", "version": "v2" } ]
2021-11-23
[ [ "Tian", "Junjiao", "" ], [ "Hsu", "Yen-Change", "" ], [ "Shen", "Yilin", "" ], [ "Jin", "Hongxia", "" ], [ "Kira", "Zsolt", "" ] ]
Moving beyond testing on in-distribution data works on Out-of-Distribution (OOD) detection have recently increased in popularity. A recent attempt to categorize OOD data introduces the concept of near and far OOD detection. Specifically, prior works define characteristics of OOD data in terms of detection difficulty. W...
2001.01401
Yeongtae Hwang
Yeongtae Hwang, Hyemin Cho, Hongsun Yang, Dong-Ok Won, Insoo Oh, and Seong-Whan Lee
Mel-spectrogram augmentation for sequence to sequence voice conversion
5pages, 1 figures, 8 tables
null
null
null
cs.LG cs.SD stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For training the sequence-to-sequence voice conversion model, we need to handle an issue of insufficient data about the number of speech pairs which consist of the same utterance. This study experimentally investigated the effects of Mel-spectrogram augmentation on training the sequence-to-sequence voice conversion (...
[ { "created": "Mon, 6 Jan 2020 05:14:09 GMT", "version": "v1" }, { "created": "Mon, 15 Jun 2020 09:39:47 GMT", "version": "v2" } ]
2020-06-16
[ [ "Hwang", "Yeongtae", "" ], [ "Cho", "Hyemin", "" ], [ "Yang", "Hongsun", "" ], [ "Won", "Dong-Ok", "" ], [ "Oh", "Insoo", "" ], [ "Lee", "Seong-Whan", "" ] ]
For training the sequence-to-sequence voice conversion model, we need to handle an issue of insufficient data about the number of speech pairs which consist of the same utterance. This study experimentally investigated the effects of Mel-spectrogram augmentation on training the sequence-to-sequence voice conversion (VC...
2406.11200
Shirley Wu
Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou
AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval
19 pages, 8 figures, 6 tables
null
null
null
cs.LG cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large language model (LLM) agents have demonstrated impressive capability in utilizing external tools and knowledge to boost accuracy and reduce hallucinations. However, developing the prompting techniques that make LLM agents able to effectively use external tools and knowledge is a heuristic and laborious task. Her...
[ { "created": "Mon, 17 Jun 2024 04:20:02 GMT", "version": "v1" }, { "created": "Tue, 18 Jun 2024 01:39:57 GMT", "version": "v2" } ]
2024-06-19
[ [ "Wu", "Shirley", "" ], [ "Zhao", "Shiyu", "" ], [ "Huang", "Qian", "" ], [ "Huang", "Kexin", "" ], [ "Yasunaga", "Michihiro", "" ], [ "Cao", "Kaidi", "" ], [ "Ioannidis", "Vassilis N.", "" ], [ "Sub...
Large language model (LLM) agents have demonstrated impressive capability in utilizing external tools and knowledge to boost accuracy and reduce hallucinations. However, developing the prompting techniques that make LLM agents able to effectively use external tools and knowledge is a heuristic and laborious task. Here,...
2206.01309
Peixian Liang
Peixian Liang, Yizhe Zhang, Yifan Ding, Jianxu Chen, Chinedu S. Madukoma, Tim Weninger, Joshua D. Shrout, Danny Z. Chen
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation
Accepted at IEEE Transactions On Medical Imaging (TMI)
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Deep learning (DL) based semantic segmentation methods have achieved excellent performance in biomedical image segmentation, producing high quality probability maps to allow extraction of rich instance information to facilitate good instance segmentation. While numerous efforts were put into developing new DL semanti...
[ { "created": "Thu, 2 Jun 2022 21:27:27 GMT", "version": "v1" } ]
2022-06-06
[ [ "Liang", "Peixian", "" ], [ "Zhang", "Yizhe", "" ], [ "Ding", "Yifan", "" ], [ "Chen", "Jianxu", "" ], [ "Madukoma", "Chinedu S.", "" ], [ "Weninger", "Tim", "" ], [ "Shrout", "Joshua D.", "" ], [ "...
Deep learning (DL) based semantic segmentation methods have achieved excellent performance in biomedical image segmentation, producing high quality probability maps to allow extraction of rich instance information to facilitate good instance segmentation. While numerous efforts were put into developing new DL semantic ...
2402.06560
Aneesh Vartakavi
Amir Ziai, Aneesh Vartakavi
Video Annotator: A framework for efficiently building video classifiers using vision-language models and active learning
Submitted for review to KDD '24 (ADS Track)
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
High-quality and consistent annotations are fundamental to the successful development of robust machine learning models. Traditional data annotation methods are resource-intensive and inefficient, often leading to a reliance on third-party annotators who are not the domain experts. Hard samples, which are usually the...
[ { "created": "Fri, 9 Feb 2024 17:19:05 GMT", "version": "v1" } ]
2024-02-12
[ [ "Ziai", "Amir", "" ], [ "Vartakavi", "Aneesh", "" ] ]
High-quality and consistent annotations are fundamental to the successful development of robust machine learning models. Traditional data annotation methods are resource-intensive and inefficient, often leading to a reliance on third-party annotators who are not the domain experts. Hard samples, which are usually the m...
2311.06149
Slimane Djema
Slimane Djema, Zoubir Abdeslem Benselama, Ramdane Hedjar, Krabi Abdallah
Dense Visual Odometry Using Genetic Algorithm
9 pages, 9 figures
International Journal of Intelligent Systems and Applications in Engineering, Volume 11, issue 3, Pages 611-619, published date 2023/7/16
null
null
cs.RO cs.AI cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Our work aims to estimate the camera motion mounted on the head of a mobile robot or a moving object from RGB-D images in a static scene. The problem of motion estimation is transformed into a nonlinear least squares function. Methods for solving such problems are iterative. Various classic methods gave an iterative ...
[ { "created": "Fri, 10 Nov 2023 16:09:01 GMT", "version": "v1" } ]
2023-11-13
[ [ "Djema", "Slimane", "" ], [ "Benselama", "Zoubir Abdeslem", "" ], [ "Hedjar", "Ramdane", "" ], [ "Abdallah", "Krabi", "" ] ]
Our work aims to estimate the camera motion mounted on the head of a mobile robot or a moving object from RGB-D images in a static scene. The problem of motion estimation is transformed into a nonlinear least squares function. Methods for solving such problems are iterative. Various classic methods gave an iterative so...
0704.2808
Aditya Ramamoorthy
Aditya Ramamoorthy
Minimum cost distributed source coding over a network
First version apppeared in the Proceedings of the 2007 IEEE International Symposium on Information Theory, Nice, France, June 24 - 29, 2007. The second version is an expanded journal submission under consideration at the IEEE Transactions on Information Theory
null
null
null
cs.IT cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work considers the problem of transmitting multiple compressible sources over a network at minimum cost. The aim is to find the optimal rates at which the sources should be compressed and the network flows using which they should be transmitted so that the cost of the transmission is minimal. We consider network...
[ { "created": "Mon, 23 Apr 2007 17:41:35 GMT", "version": "v1" }, { "created": "Wed, 12 Aug 2009 22:56:01 GMT", "version": "v2" } ]
2009-08-13
[ [ "Ramamoorthy", "Aditya", "" ] ]
This work considers the problem of transmitting multiple compressible sources over a network at minimum cost. The aim is to find the optimal rates at which the sources should be compressed and the network flows using which they should be transmitted so that the cost of the transmission is minimal. We consider networks ...
1206.6428
Alexandru Niculescu-Mizil
Abhishek Kumar (University of Maryland), Alexandru Niculescu-Mizil (NEC Laboratories America), Koray Kavukcuoglu (NEC Laboratories America), Hal Daume III (University of Maryland)
A Binary Classification Framework for Two-Stage Multiple Kernel Learning
Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012)
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the advent of kernel methods, automating the task of specifying a suitable kernel has become increasingly important. In this context, the Multiple Kernel Learning (MKL) problem of finding a combination of pre-specified base kernels that is suitable for the task at hand has received significant attention from res...
[ { "created": "Wed, 27 Jun 2012 19:59:59 GMT", "version": "v1" } ]
2012-07-03
[ [ "Kumar", "Abhishek", "", "University of Maryland" ], [ "Niculescu-Mizil", "Alexandru", "", "NEC Laboratories America" ], [ "Kavukcuoglu", "Koray", "", "NEC Laboratories America" ], [ "Daume", "Hal", "III", "University of Maryland" ] ]
With the advent of kernel methods, automating the task of specifying a suitable kernel has become increasingly important. In this context, the Multiple Kernel Learning (MKL) problem of finding a combination of pre-specified base kernels that is suitable for the task at hand has received significant attention from resea...
1812.04431
Apostolos Rikos
Apostolos I. Rikos
Distributed Weight Balancing in Directed Topologies
doctoral thesis
null
null
null
cs.DC cs.DS eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This doctoral thesis concerns novel distributed algorithms for weight balancing over directed (communication) topologies. A directed topology (digraph) with nonnegative (or positive) weights assigned on each edge is weight-balanced if, for each node, the sum of the weights of in-coming edges equals the sum of the wei...
[ { "created": "Thu, 6 Dec 2018 00:06:54 GMT", "version": "v1" } ]
2018-12-12
[ [ "Rikos", "Apostolos I.", "" ] ]
This doctoral thesis concerns novel distributed algorithms for weight balancing over directed (communication) topologies. A directed topology (digraph) with nonnegative (or positive) weights assigned on each edge is weight-balanced if, for each node, the sum of the weights of in-coming edges equals the sum of the weigh...
1610.07045
Yixuan (Julie) Zhu
Julie Yixuan Zhu, Chao Zhang, Huichu Zhang, Shi Zhi, Victor O.K. Li, Jiawei Han, Yu Zheng
pg-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many countries are suffering from severe air pollution. Understanding how different air pollutants accumulate and propagate is critical to making relevant public policies. In this paper, we use urban big data (air quality data and meteorological data) to identify the \emph{spatiotemporal (ST) causal pathways} for air...
[ { "created": "Sat, 22 Oct 2016 13:17:28 GMT", "version": "v1" }, { "created": "Thu, 9 Nov 2017 08:30:29 GMT", "version": "v2" }, { "created": "Wed, 18 Apr 2018 07:39:53 GMT", "version": "v3" } ]
2018-04-19
[ [ "Zhu", "Julie Yixuan", "" ], [ "Zhang", "Chao", "" ], [ "Zhang", "Huichu", "" ], [ "Zhi", "Shi", "" ], [ "Li", "Victor O. K.", "" ], [ "Han", "Jiawei", "" ], [ "Zheng", "Yu", "" ] ]
Many countries are suffering from severe air pollution. Understanding how different air pollutants accumulate and propagate is critical to making relevant public policies. In this paper, we use urban big data (air quality data and meteorological data) to identify the \emph{spatiotemporal (ST) causal pathways} for air p...
2406.17608
Xiao Ma
Xiao Ma, Yuhui Tao, Yuhan Zhang, Zexuan Ji, Yizhe Zhang, Qiang Chen
Test-Time Generative Augmentation for Medical Image Segmentation
12pages, 2figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a novel approach to enhance medical image segmentation during test time. Instead of employing hand-crafted transforms or functions on the input test image to create multiple views for test-time augmentation, we advocate for the utilization of an advanced domain-fine-tuned generative model (G...
[ { "created": "Tue, 25 Jun 2024 14:53:01 GMT", "version": "v1" } ]
2024-06-26
[ [ "Ma", "Xiao", "" ], [ "Tao", "Yuhui", "" ], [ "Zhang", "Yuhan", "" ], [ "Ji", "Zexuan", "" ], [ "Zhang", "Yizhe", "" ], [ "Chen", "Qiang", "" ] ]
In this paper, we propose a novel approach to enhance medical image segmentation during test time. Instead of employing hand-crafted transforms or functions on the input test image to create multiple views for test-time augmentation, we advocate for the utilization of an advanced domain-fine-tuned generative model (GM)...
2310.19630
Olivier Rukundo
Olivier Rukundo, Andrea Behanova, Riccardo De Feo, Seppo Ronkko, Joni Oja, Jussi Tohka
Convolutional Neural Networks for Automatic Detection of Intact Adenovirus from TEM Imaging with Debris, Broken and Artefacts Particles
13 pages, 8 figures
null
null
null
cs.CV cs.NE
http://creativecommons.org/licenses/by/4.0/
Regular monitoring of the primary particles and purity profiles of a drug product during development and manufacturing processes is essential for manufacturers to avoid product variability and contamination. Transmission electron microscopy (TEM) imaging helps manufacturers predict how changes affect particle charact...
[ { "created": "Mon, 30 Oct 2023 15:23:25 GMT", "version": "v1" }, { "created": "Mon, 6 Nov 2023 14:58:19 GMT", "version": "v2" }, { "created": "Thu, 9 Nov 2023 15:18:03 GMT", "version": "v3" } ]
2023-11-10
[ [ "Rukundo", "Olivier", "" ], [ "Behanova", "Andrea", "" ], [ "De Feo", "Riccardo", "" ], [ "Ronkko", "Seppo", "" ], [ "Oja", "Joni", "" ], [ "Tohka", "Jussi", "" ] ]
Regular monitoring of the primary particles and purity profiles of a drug product during development and manufacturing processes is essential for manufacturers to avoid product variability and contamination. Transmission electron microscopy (TEM) imaging helps manufacturers predict how changes affect particle character...
1202.1596
Vasilis Ntranos
Vasileios Ntranos, Giuseppe Caire, Alexandros G. Dimakis
Allocations for Heterogenous Distributed Storage
5 pages, 1 figure
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of storing a data object in a set of data nodes that fail independently with given probabilities. Our problem is a natural generalization of a homogenous storage allocation problem where all the nodes had the same reliability and is naturally motivated for peer-to-peer and cloud storage systems w...
[ { "created": "Wed, 8 Feb 2012 04:18:14 GMT", "version": "v1" } ]
2012-02-09
[ [ "Ntranos", "Vasileios", "" ], [ "Caire", "Giuseppe", "" ], [ "Dimakis", "Alexandros G.", "" ] ]
We study the problem of storing a data object in a set of data nodes that fail independently with given probabilities. Our problem is a natural generalization of a homogenous storage allocation problem where all the nodes had the same reliability and is naturally motivated for peer-to-peer and cloud storage systems wit...
2310.16704
AnneMarie Borg
Suzan Zuurmond, AnneMarie Borg, Matthijs van Kempen and Remi Wieten
Human-centred explanation of rule-based decision-making systems in the legal domain
This is the full version of a demo at the 36th International Conference on Legal Knowledge and Information Systems (JURIX'23)
null
null
null
cs.AI cs.HC
http://creativecommons.org/licenses/by/4.0/
We propose a human-centred explanation method for rule-based automated decision-making systems in the legal domain. Firstly, we establish a conceptual framework for developing explanation methods, representing its key internal components (content, communication and adaptation) and external dependencies (decision-maki...
[ { "created": "Wed, 25 Oct 2023 15:20:05 GMT", "version": "v1" } ]
2023-10-26
[ [ "Zuurmond", "Suzan", "" ], [ "Borg", "AnneMarie", "" ], [ "van Kempen", "Matthijs", "" ], [ "Wieten", "Remi", "" ] ]
We propose a human-centred explanation method for rule-based automated decision-making systems in the legal domain. Firstly, we establish a conceptual framework for developing explanation methods, representing its key internal components (content, communication and adaptation) and external dependencies (decision-making...
1208.0384
Liu Shaoli
Shaoli Liu, Yunji Chen, Tianshi Chen, Ling Li, Chao Lu
Global Adaptive Routing Algorithm Without Additional Congestion Propagation Network
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by-nc-sa/3.0/
Adaptive routing algorithm has been employed in multichip interconnection networks in order to improve network performance. Does a algorithm use local or global network state? This is the key question in adaptive routing. In many traffic patterns, the ignorance of global network state, leading to routing selection ba...
[ { "created": "Thu, 2 Aug 2012 02:25:59 GMT", "version": "v1" } ]
2012-08-03
[ [ "Liu", "Shaoli", "" ], [ "Chen", "Yunji", "" ], [ "Chen", "Tianshi", "" ], [ "Li", "Ling", "" ], [ "Lu", "Chao", "" ] ]
Adaptive routing algorithm has been employed in multichip interconnection networks in order to improve network performance. Does a algorithm use local or global network state? This is the key question in adaptive routing. In many traffic patterns, the ignorance of global network state, leading to routing selection base...
2310.20354
Keith Malcolm Smith
Keith Malcolm Smith and Jason P. Smith
Statistical Complexity of Heterogeneous Geometric Networks
12 pages, 6 figures
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Heterogeneity and geometry are key explanatory components underlying the structure of real-world networks. The relationship between these components and the statistical complexity of networks is not well understood. We introduce a parsimonious normalised measure of statistical complexity for networks -- normalised hi...
[ { "created": "Tue, 31 Oct 2023 10:51:10 GMT", "version": "v1" }, { "created": "Thu, 29 Feb 2024 17:02:14 GMT", "version": "v2" } ]
2024-03-01
[ [ "Smith", "Keith Malcolm", "" ], [ "Smith", "Jason P.", "" ] ]
Heterogeneity and geometry are key explanatory components underlying the structure of real-world networks. The relationship between these components and the statistical complexity of networks is not well understood. We introduce a parsimonious normalised measure of statistical complexity for networks -- normalised hier...
1310.5839
Volker Weinberg
David Brayford, Momme Allalen and Volker Weinberg
Extreme Scaling of Lattice Quantum Chromodynamics
5 pages, 2 figures, talk given at the "Extreme Scaling on SuperMUC" Minisymposium during ParCo 2013, International Conference on Parallel Computing, 10-13 September 2013, Munich
null
null
null
cs.DC cs.PF hep-lat physics.comp-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As the complexity and size of challenges in science and engineering are continually increasing, it is highly important that applications are able to scale strongly to very large numbers of cores (>100,000 cores) to enable HPC systems to be utilised efficiently. This paper presents results of strong scaling tests perf...
[ { "created": "Tue, 22 Oct 2013 08:48:03 GMT", "version": "v1" } ]
2013-10-23
[ [ "Brayford", "David", "" ], [ "Allalen", "Momme", "" ], [ "Weinberg", "Volker", "" ] ]
As the complexity and size of challenges in science and engineering are continually increasing, it is highly important that applications are able to scale strongly to very large numbers of cores (>100,000 cores) to enable HPC systems to be utilised efficiently. This paper presents results of strong scaling tests perfor...
2404.19431
Mohammad Javad Ahmadi
Mohammad Javad Ahmadi, Rafael F. Schaefer, H. Vincent Poor
Integrated Sensing and Communications for Unsourced Random Access: Fundamental Limits
null
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
This work considers the problem of integrated sensing and communication (ISAC) with a massive number of unsourced and uncoordinated users. In the proposed model, known as the unsourced ISAC system (UNISAC), all active communication and sensing users share a short frame to transmit their signals, without requiring sch...
[ { "created": "Tue, 30 Apr 2024 10:26:04 GMT", "version": "v1" }, { "created": "Wed, 1 May 2024 05:17:35 GMT", "version": "v2" } ]
2024-05-02
[ [ "Ahmadi", "Mohammad Javad", "" ], [ "Schaefer", "Rafael F.", "" ], [ "Poor", "H. Vincent", "" ] ]
This work considers the problem of integrated sensing and communication (ISAC) with a massive number of unsourced and uncoordinated users. In the proposed model, known as the unsourced ISAC system (UNISAC), all active communication and sensing users share a short frame to transmit their signals, without requiring sched...
2305.19212
Markus Hecher
Johannes K. Fichte, Markus Hecher, Michael Morak, Patrick Thier, Stefan Woltran
Solving Projected Model Counting by Utilizing Treewidth and its Limits
arXiv admin note: substantial text overlap with arXiv:1805.05445
null
null
null
cs.CC cs.AI cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we introduce a novel algorithm to solve projected model counting (PMC). PMC asks to count solutions of a Boolean formula with respect to a given set of projection variables, where multiple solutions that are identical when restricted to the projection variables count as only one solution. Inspired by t...
[ { "created": "Tue, 30 May 2023 17:02:07 GMT", "version": "v1" }, { "created": "Wed, 31 May 2023 00:51:58 GMT", "version": "v2" } ]
2023-06-01
[ [ "Fichte", "Johannes K.", "" ], [ "Hecher", "Markus", "" ], [ "Morak", "Michael", "" ], [ "Thier", "Patrick", "" ], [ "Woltran", "Stefan", "" ] ]
In this paper, we introduce a novel algorithm to solve projected model counting (PMC). PMC asks to count solutions of a Boolean formula with respect to a given set of projection variables, where multiple solutions that are identical when restricted to the projection variables count as only one solution. Inspired by the...
1902.04744
Peixin Wang
Peixin Wang, Hongfei Fu, Krishnendu Chatterjee, Yuxin Deng, Ming Xu
Proving Expected Sensitivity of Probabilistic Programs with Randomized Variable-Dependent Termination Time
null
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The notion of program sensitivity (aka Lipschitz continuity) specifies that changes in the program input result in proportional changes to the program output. For probabilistic programs the notion is naturally extended to expected sensitivity. A previous approach develops a relational program logic framework for prov...
[ { "created": "Wed, 13 Feb 2019 05:32:09 GMT", "version": "v1" }, { "created": "Sat, 13 Jul 2019 09:31:56 GMT", "version": "v2" }, { "created": "Mon, 28 Oct 2019 13:59:53 GMT", "version": "v3" } ]
2019-10-29
[ [ "Wang", "Peixin", "" ], [ "Fu", "Hongfei", "" ], [ "Chatterjee", "Krishnendu", "" ], [ "Deng", "Yuxin", "" ], [ "Xu", "Ming", "" ] ]
The notion of program sensitivity (aka Lipschitz continuity) specifies that changes in the program input result in proportional changes to the program output. For probabilistic programs the notion is naturally extended to expected sensitivity. A previous approach develops a relational program logic framework for provin...
2308.13712
Jiawei Liu
Jiawei Liu, Qiang Wang, Huijie Fan, Yinong Wang, Yandong Tang, Liangqiong Qu
Residual Denoising Diffusion Models
Accepted to CVPR2024
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose residual denoising diffusion models (RDDM), a novel dual diffusion process that decouples the traditional single denoising diffusion process into residual diffusion and noise diffusion. This dual diffusion framework expands the denoising-based diffusion models, initially uninterpretable for image restorati...
[ { "created": "Fri, 25 Aug 2023 23:54:15 GMT", "version": "v1" }, { "created": "Sat, 7 Oct 2023 14:32:30 GMT", "version": "v2" }, { "created": "Fri, 22 Mar 2024 15:30:57 GMT", "version": "v3" } ]
2024-03-25
[ [ "Liu", "Jiawei", "" ], [ "Wang", "Qiang", "" ], [ "Fan", "Huijie", "" ], [ "Wang", "Yinong", "" ], [ "Tang", "Yandong", "" ], [ "Qu", "Liangqiong", "" ] ]
We propose residual denoising diffusion models (RDDM), a novel dual diffusion process that decouples the traditional single denoising diffusion process into residual diffusion and noise diffusion. This dual diffusion framework expands the denoising-based diffusion models, initially uninterpretable for image restoration...
2305.04724
Banupriya V
V. Banupriya and S. Anusuya
Strategy for Rapid Diabetic Retinopathy Exposure Based on Enhanced Feature Extraction Processing
null
null
10.32604/cmc.2023.038696
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
In the modern world, one of the most severe eye infections brought on by diabetes is known as diabetic retinopathy, which will result in retinal damage, and, thus, lead to blindness. Diabetic retinopathy can be well treated with early diagnosis. Retinal fundus images of humans are used to screen for lesions in the re...
[ { "created": "Mon, 8 May 2023 14:17:33 GMT", "version": "v1" } ]
2023-05-09
[ [ "Banupriya", "V.", "" ], [ "Anusuya", "S.", "" ] ]
In the modern world, one of the most severe eye infections brought on by diabetes is known as diabetic retinopathy, which will result in retinal damage, and, thus, lead to blindness. Diabetic retinopathy can be well treated with early diagnosis. Retinal fundus images of humans are used to screen for lesions in the reti...
2007.10602
Makis Arsenis
Makis Arsenis, Odysseas Drosis, Robert Kleinberg
Revenue Monotonicity Under Misspecified Bidders
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate revenue guarantees for auction mechanisms in a model where a distribution is specified for each bidder, but only some of the distributions are correct. The subset of bidders whose distribution is correctly specified (henceforth, the "green bidders") is unknown to the auctioneer. The question we address...
[ { "created": "Tue, 21 Jul 2020 05:11:35 GMT", "version": "v1" } ]
2020-07-22
[ [ "Arsenis", "Makis", "" ], [ "Drosis", "Odysseas", "" ], [ "Kleinberg", "Robert", "" ] ]
We investigate revenue guarantees for auction mechanisms in a model where a distribution is specified for each bidder, but only some of the distributions are correct. The subset of bidders whose distribution is correctly specified (henceforth, the "green bidders") is unknown to the auctioneer. The question we address i...
2404.08607
Liangzhi Wang
Liangzhi Wang, Chen Chen, Carlo Fischione, and Jie Zhang
Learning-Based Joint Antenna Selection and Precoding Design for Cell-Free MIMO Networks
This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers a downlink cell-free multiple-input multiple-output (MIMO) network in which multiple multi-antenna base stations (BSs) serve multiple users via coherent joint transmission. In order to reduce the energy consumption by radio frequency components, each BS selects a subset of antennas for downlink d...
[ { "created": "Fri, 12 Apr 2024 17:13:50 GMT", "version": "v1" } ]
2024-04-15
[ [ "Wang", "Liangzhi", "" ], [ "Chen", "Chen", "" ], [ "Fischione", "Carlo", "" ], [ "Zhang", "Jie", "" ] ]
This paper considers a downlink cell-free multiple-input multiple-output (MIMO) network in which multiple multi-antenna base stations (BSs) serve multiple users via coherent joint transmission. In order to reduce the energy consumption by radio frequency components, each BS selects a subset of antennas for downlink dat...
2010.07024
Xiang Hui Nicholas Lim
Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Jagannadan Varadarajan
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation
To appear in Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM), 2020
null
10.1145/3340531.3411876
null
cs.IR cs.LG cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Next Point-of-Interest (POI) recommendation is a longstanding problem across the domains of Location-Based Social Networks (LBSN) and transportation. Recent Recurrent Neural Network (RNN) based approaches learn POI-POI relationships in a local view based on independent user visit sequences. This limits the model's ab...
[ { "created": "Tue, 6 Oct 2020 04:03:42 GMT", "version": "v1" } ]
2020-10-15
[ [ "Lim", "Nicholas", "" ], [ "Hooi", "Bryan", "" ], [ "Ng", "See-Kiong", "" ], [ "Wang", "Xueou", "" ], [ "Goh", "Yong Liang", "" ], [ "Weng", "Renrong", "" ], [ "Varadarajan", "Jagannadan", "" ] ]
Next Point-of-Interest (POI) recommendation is a longstanding problem across the domains of Location-Based Social Networks (LBSN) and transportation. Recent Recurrent Neural Network (RNN) based approaches learn POI-POI relationships in a local view based on independent user visit sequences. This limits the model's abil...
2202.09391
Sourabh Balgi Mr.
Sourabh Balgi, Jose M. Pe\~na, Adel Daoud
Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows
8(+6) pages, 3(+3) figures, arXiv admin note: text overlap with arXiv:2202.03281
null
null
null
cs.AI econ.EM stat.AP
http://creativecommons.org/licenses/by/4.0/
This work demonstrates the application of a particular branch of causal inference and deep learning models: \emph{causal-Graphical Normalizing Flows (c-GNFs)}. In a recent contribution, scholars showed that normalizing flows carry certain properties, making them particularly suitable for causal and counterfactual ana...
[ { "created": "Thu, 17 Feb 2022 12:18:14 GMT", "version": "v1" } ]
2022-02-22
[ [ "Balgi", "Sourabh", "" ], [ "Peña", "Jose M.", "" ], [ "Daoud", "Adel", "" ] ]
This work demonstrates the application of a particular branch of causal inference and deep learning models: \emph{causal-Graphical Normalizing Flows (c-GNFs)}. In a recent contribution, scholars showed that normalizing flows carry certain properties, making them particularly suitable for causal and counterfactual analy...
1810.07132
Wei Dai
Wei Dai, Kenji Yoshigoe, William Parsley
Improving Data Quality through Deep Learning and Statistical Models
8 pages, 6 figures, and 3 tables
Dai, Wei, Kenji Yoshigoe, and William Parsley. "Improving Data Quality Through Deep Learning and Statistical Models." In Information Technology-New Generations, pp. 515-522. Springer, Cham, 2018
10.1007/978-3-319-54978-1_66
null
cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional data quality control methods are based on users experience or previously established business rules, and this limits performance in addition to being a very time consuming process with lower than desirable accuracy. Utilizing deep learning, we can leverage computing resources and advanced techniques to ov...
[ { "created": "Tue, 16 Oct 2018 16:57:07 GMT", "version": "v1" } ]
2018-10-17
[ [ "Dai", "Wei", "" ], [ "Yoshigoe", "Kenji", "" ], [ "Parsley", "William", "" ] ]
Traditional data quality control methods are based on users experience or previously established business rules, and this limits performance in addition to being a very time consuming process with lower than desirable accuracy. Utilizing deep learning, we can leverage computing resources and advanced techniques to over...
1907.05406
Bing Yao
Bing Yao, Yarong Mu, Yirong Sun, Hui Sun, Xiaohui Zhang, Hongyu Wang, Jing Su, Mingjun Zhang, Sihua Yang, Meimei Zhao, Xiaomin Wang, Fei Ma, Ming Yao, Chao Yang, Jianming Xie
Using Chinese Characters To Generate Text-Based Passwords For Information Security
null
null
null
null
cs.IT math.CO math.IT
http://creativecommons.org/licenses/by/4.0/
Graphical passwords (GPWs) are in many areas of the current world. Topological graphic passwords (Topsnut-gpws) are a new type of cryptography, and they differ from the existing GPWs. A Topsnut-gpw consists of two parts: one is a topological structure (graph), and one is a set of discrete elements (a graph labelling,...
[ { "created": "Thu, 11 Jul 2019 17:46:56 GMT", "version": "v1" } ]
2019-07-12
[ [ "Yao", "Bing", "" ], [ "Mu", "Yarong", "" ], [ "Sun", "Yirong", "" ], [ "Sun", "Hui", "" ], [ "Zhang", "Xiaohui", "" ], [ "Wang", "Hongyu", "" ], [ "Su", "Jing", "" ], [ "Zhang", "Mingjun", ...
Graphical passwords (GPWs) are in many areas of the current world. Topological graphic passwords (Topsnut-gpws) are a new type of cryptography, and they differ from the existing GPWs. A Topsnut-gpw consists of two parts: one is a topological structure (graph), and one is a set of discrete elements (a graph labelling, o...
1709.07658
Jordan Ivanchev
Jordan Ivanchev, Alois Knoll, Daniel Zehe, Suraj Nair, David Eckhoff
Potentials and Implications of Dedicated Highway Lanes for Autonomous Vehicles
12 pages, 7 figures
null
null
null
cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The introduction of autonomous vehicles (AVs) will have far-reaching effects on road traffic in cities and on highways.The implementation of automated highway system (AHS), possibly with a dedicated lane only for AVs, is believed to be a requirement to maximise the benefit from the advantages of AVs. We study the ram...
[ { "created": "Fri, 22 Sep 2017 09:45:40 GMT", "version": "v1" } ]
2017-09-25
[ [ "Ivanchev", "Jordan", "" ], [ "Knoll", "Alois", "" ], [ "Zehe", "Daniel", "" ], [ "Nair", "Suraj", "" ], [ "Eckhoff", "David", "" ] ]
The introduction of autonomous vehicles (AVs) will have far-reaching effects on road traffic in cities and on highways.The implementation of automated highway system (AHS), possibly with a dedicated lane only for AVs, is believed to be a requirement to maximise the benefit from the advantages of AVs. We study the ramif...
1006.0334
Rui Costa
Rui A. Costa and Michael Langberg and Jo\~ao Barros
One-Shot Capacity of Discrete Channels
ISIT 2010
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Shannon defined channel capacity as the highest rate at which there exists a sequence of codes of block length $n$ such that the error probability goes to zero as $n$ goes to infinity. In this definition, it is implicit that the block length, which can be viewed as the number of available channel uses, is unlimited. ...
[ { "created": "Wed, 2 Jun 2010 09:31:35 GMT", "version": "v1" } ]
2010-06-03
[ [ "Costa", "Rui A.", "" ], [ "Langberg", "Michael", "" ], [ "Barros", "João", "" ] ]
Shannon defined channel capacity as the highest rate at which there exists a sequence of codes of block length $n$ such that the error probability goes to zero as $n$ goes to infinity. In this definition, it is implicit that the block length, which can be viewed as the number of available channel uses, is unlimited. Th...
2203.05707
Da Ma
Ghazal Mirabnahrazam, Da Ma, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, Lei Wang, James E Galvin, Mirza Faisal Beg, and the Alzheimer's Disease Neuroimaging Initiative
Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease
null
J Alzheimers Dis 1 Jan. (2022) 1-21
10.3233/JAD-220021
null
cs.LG cs.AI eess.IV q-bio.GN
http://creativecommons.org/licenses/by-nc-nd/4.0/
Background: The increasing availability of databases containing both magnetic resonance imaging (MRI) and genetic data allows researchers to utilize multimodal data to better understand the characteristics of dementia of Alzheimer's type (DAT). Objective: The goal of this study was to develop and analyze novel biomar...
[ { "created": "Fri, 11 Mar 2022 01:35:30 GMT", "version": "v1" } ]
2022-04-25
[ [ "Mirabnahrazam", "Ghazal", "" ], [ "Ma", "Da", "" ], [ "Lee", "Sieun", "" ], [ "Popuri", "Karteek", "" ], [ "Lee", "Hyunwoo", "" ], [ "Cao", "Jiguo", "" ], [ "Wang", "Lei", "" ], [ "Galvin", "Ja...
Background: The increasing availability of databases containing both magnetic resonance imaging (MRI) and genetic data allows researchers to utilize multimodal data to better understand the characteristics of dementia of Alzheimer's type (DAT). Objective: The goal of this study was to develop and analyze novel biomarke...
2108.11215
Reto Gubelmann
Reto Gubelmann (1), Peter Hongler (1), Siegfried Handschuh (1) ((1) University of St.Gallen (HSG))
Exploring the Promises of Transformer-Based LMs for the Representation of Normative Claims in the Legal Domain
11 pages, 3 figures
null
null
null
cs.CL cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this article, we explore the potential of transformer-based language models (LMs) to correctly represent normative statements in the legal domain, taking tax law as our use case. In our experiment, we use a variety of LMs as bases for both word- and sentence-based clusterers that are then evaluated on a small, exp...
[ { "created": "Wed, 25 Aug 2021 13:03:04 GMT", "version": "v1" } ]
2021-08-26
[ [ "Gubelmann", "Reto", "" ], [ "Hongler", "Peter", "" ], [ "Handschuh", "Siegfried", "" ] ]
In this article, we explore the potential of transformer-based language models (LMs) to correctly represent normative statements in the legal domain, taking tax law as our use case. In our experiment, we use a variety of LMs as bases for both word- and sentence-based clusterers that are then evaluated on a small, exper...
2011.05301
Eda Bayram
Eda Bayram and Alberto Garcia-Duran and Robert West
Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation
7 pages
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The existing literature on knowledge graph completion mostly focuses on the link prediction task. However, knowledge graphs have an additional incompleteness problem: their nodes possess numerical attributes, whose values are often missing. Our approach, denoted as MrAP, imputes the values of missing attributes by pr...
[ { "created": "Tue, 10 Nov 2020 18:36:33 GMT", "version": "v1" } ]
2020-11-11
[ [ "Bayram", "Eda", "" ], [ "Garcia-Duran", "Alberto", "" ], [ "West", "Robert", "" ] ]
The existing literature on knowledge graph completion mostly focuses on the link prediction task. However, knowledge graphs have an additional incompleteness problem: their nodes possess numerical attributes, whose values are often missing. Our approach, denoted as MrAP, imputes the values of missing attributes by prop...
2201.02946
Linh Ma Van
Linh Van Ma, Tin Trung Tran, Moongu Jeon
Resolving Camera Position for a Practical Application of Gaze Estimation on Edge Devices
6 pages, 11 figures, conference paper
ICAIIC 2022 (The 4th International Conference on Artificial Intelligence in Information and Communication February 21 (Mon.) ~ 24 (Thur.), 2022, Guam, USA & Virtual Conference)
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Most Gaze estimation research only works on a setup condition that a camera perfectly captures eyes gaze. They have not literarily specified how to set up a camera correctly for a given position of a person. In this paper, we carry out a study on gaze estimation with a logical camera setup position. We further bring ...
[ { "created": "Sun, 9 Jan 2022 07:19:59 GMT", "version": "v1" }, { "created": "Sat, 15 Jan 2022 23:20:22 GMT", "version": "v2" } ]
2022-01-19
[ [ "Van Ma", "Linh", "" ], [ "Tran", "Tin Trung", "" ], [ "Jeon", "Moongu", "" ] ]
Most Gaze estimation research only works on a setup condition that a camera perfectly captures eyes gaze. They have not literarily specified how to set up a camera correctly for a given position of a person. In this paper, we carry out a study on gaze estimation with a logical camera setup position. We further bring ou...
1905.06911
Derek Weitzel
Derek Weitzel, Marian Zvada, Ilija Vukotic, Rob Gardner, Brian Bockelman, Mats Rynge, Edgar Fajardo Hernandez, Brian Lin, and Matyas Selmeci
StashCache: A Distributed Caching Federation for the Open Science Grid
In Practice and Experience in Advanced Research Computing (PEARC 19), July 28-August 1, 2019, Chicago, IL, USA. ACM, New York, NY, USA, 7 pages
null
10.1145/3332186.3332212
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data distribution for opportunistic users is challenging as they neither own the computing resources they are using or any nearby storage. Users are motivated to use opportunistic computing to expand their data processing capacity, but they require storage and fast networking to distribute data to that processing. Si...
[ { "created": "Thu, 16 May 2019 17:14:44 GMT", "version": "v1" } ]
2019-05-17
[ [ "Weitzel", "Derek", "" ], [ "Zvada", "Marian", "" ], [ "Vukotic", "Ilija", "" ], [ "Gardner", "Rob", "" ], [ "Bockelman", "Brian", "" ], [ "Rynge", "Mats", "" ], [ "Hernandez", "Edgar Fajardo", "" ], [ ...
Data distribution for opportunistic users is challenging as they neither own the computing resources they are using or any nearby storage. Users are motivated to use opportunistic computing to expand their data processing capacity, but they require storage and fast networking to distribute data to that processing. Sinc...
2002.01916
Ali Maatouk
Ali Maatouk, Yin Sun, Anthony Ephremides, Mohamad Assaad
Status Updates with Priorities: Lexicographic Optimality
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider a transmission scheduling problem, in which several streams of status update packets with diverse priority levels are sent through a shared channel to their destinations. We introduce a notion of Lexicographic age optimality, or simply lex-age-optimality, to evaluate the performance of mult...
[ { "created": "Wed, 5 Feb 2020 18:43:16 GMT", "version": "v1" } ]
2020-02-06
[ [ "Maatouk", "Ali", "" ], [ "Sun", "Yin", "" ], [ "Ephremides", "Anthony", "" ], [ "Assaad", "Mohamad", "" ] ]
In this paper, we consider a transmission scheduling problem, in which several streams of status update packets with diverse priority levels are sent through a shared channel to their destinations. We introduce a notion of Lexicographic age optimality, or simply lex-age-optimality, to evaluate the performance of multi-...
1307.6303
Junyan Wang
Junyan Wang and Kap Luk Chan
Matching-Constrained Active Contours
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/3.0/
In object segmentation by active contours, the initial contour is often required. Conventionally, the initial contour is provided by the user. This paper extends the conventional active contour model by incorporating feature matching in the formulation, which gives rise to a novel matching-constrained active contour....
[ { "created": "Wed, 24 Jul 2013 06:18:44 GMT", "version": "v1" } ]
2013-07-25
[ [ "Wang", "Junyan", "" ], [ "Chan", "Kap Luk", "" ] ]
In object segmentation by active contours, the initial contour is often required. Conventionally, the initial contour is provided by the user. This paper extends the conventional active contour model by incorporating feature matching in the formulation, which gives rise to a novel matching-constrained active contour. T...
2303.12237
Pulkit Khandelwal
Pulkit Khandelwal, Michael Tran Duong, Shokufeh Sadaghiani, Sydney Lim, Amanda Denning, Eunice Chung, Sadhana Ravikumar, Sanaz Arezoumandan, Claire Peterson, Madigan Bedard, Noah Capp, Ranjit Ittyerah, Elyse Migdal, Grace Choi, Emily Kopp, Bridget Loja, Eusha Hasan, Jiacheng Li, Alejandra Bahena, Karthik Prabha...
Automated deep learning segmentation of high-resolution 7 T postmortem MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases
Preprint submitted to NeuroImage Project website: https://pulkit-khandelwal.github.io/exvivo-brain-upenn
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Postmortem MRI allows brain anatomy to be examined at high resolution and to link pathology measures with morphometric measurements. However, automated segmentation methods for brain mapping in postmortem MRI are not well developed, primarily due to limited availability of labeled datasets, and heterogeneity in scann...
[ { "created": "Tue, 21 Mar 2023 23:44:02 GMT", "version": "v1" }, { "created": "Tue, 17 Oct 2023 20:50:05 GMT", "version": "v2" } ]
2023-10-19
[ [ "Khandelwal", "Pulkit", "" ], [ "Duong", "Michael Tran", "" ], [ "Sadaghiani", "Shokufeh", "" ], [ "Lim", "Sydney", "" ], [ "Denning", "Amanda", "" ], [ "Chung", "Eunice", "" ], [ "Ravikumar", "Sadhana", ""...
Postmortem MRI allows brain anatomy to be examined at high resolution and to link pathology measures with morphometric measurements. However, automated segmentation methods for brain mapping in postmortem MRI are not well developed, primarily due to limited availability of labeled datasets, and heterogeneity in scanner...
2111.13236
Swaminathan Gurumurthy
Swaminathan Gurumurthy, Shaojie Bai, Zachary Manchester, J. Zico Kolter
Joint inference and input optimization in equilibrium networks
Neurips 2021
Neurips 2021
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
Many tasks in deep learning involve optimizing over the \emph{inputs} to a network to minimize or maximize some objective; examples include optimization over latent spaces in a generative model to match a target image, or adversarially perturbing an input to worsen classifier performance. Performing such optimization...
[ { "created": "Thu, 25 Nov 2021 19:59:33 GMT", "version": "v1" } ]
2021-11-29
[ [ "Gurumurthy", "Swaminathan", "" ], [ "Bai", "Shaojie", "" ], [ "Manchester", "Zachary", "" ], [ "Kolter", "J. Zico", "" ] ]
Many tasks in deep learning involve optimizing over the \emph{inputs} to a network to minimize or maximize some objective; examples include optimization over latent spaces in a generative model to match a target image, or adversarially perturbing an input to worsen classifier performance. Performing such optimization, ...
2311.05267
Nikela Papadopoulou
Minyu Cui, Nikela Papadopoulou, Miquel Peric\`as
Analysis and Characterization of Performance Variability for OpenMP Runtime
To appear at ROSS 2023 (International Workshop on Runtime and Operating Systems for Supercomputers), held in conjunction with SC23
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
In the high performance computing (HPC) domain, performance variability is a major scalability issue for parallel computing applications with heavy synchronization and communication. In this paper, we present an experimental performance analysis of OpenMP benchmarks regarding the variation of execution time, and dete...
[ { "created": "Thu, 9 Nov 2023 10:50:17 GMT", "version": "v1" } ]
2023-11-10
[ [ "Cui", "Minyu", "" ], [ "Papadopoulou", "Nikela", "" ], [ "Pericàs", "Miquel", "" ] ]
In the high performance computing (HPC) domain, performance variability is a major scalability issue for parallel computing applications with heavy synchronization and communication. In this paper, we present an experimental performance analysis of OpenMP benchmarks regarding the variation of execution time, and determ...
2309.14653
Francis Lau C.M.
Jia Zhan and Francis C.M. Lau
Joint Design of Source-Channel Codes with Linear Source Encoding Complexity and Good Channel Thresholds Based on Double-Protograph LDPC Codes
7 pages, 5 figures, 3 tables, to appear in IEEE Communications Letters
null
10.1109/LCOMM.2023.3320105
null
cs.IT math.IT
http://creativecommons.org/licenses/by-nc-nd/4.0/
We propose the use of a lower or upper triangular sub-base matrix to replace the identity matrix in the source-check-channel-variable linking protomatrix of a double-protograph low-density parity-check joint-source-channel code (DP-LDPC JSCC). The elements along the diagonal of the proposed lower or upper triangular ...
[ { "created": "Tue, 26 Sep 2023 04:13:00 GMT", "version": "v1" } ]
2023-10-17
[ [ "Zhan", "Jia", "" ], [ "Lau", "Francis C. M.", "" ] ]
We propose the use of a lower or upper triangular sub-base matrix to replace the identity matrix in the source-check-channel-variable linking protomatrix of a double-protograph low-density parity-check joint-source-channel code (DP-LDPC JSCC). The elements along the diagonal of the proposed lower or upper triangular su...
2309.05072
Xiaowei Gao
Xiaowei Gao, Xinke Jiang, Dingyi Zhuang, Huanfa Chen, Shenhao Wang, Stephen Law, James Haworth
Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction
null
null
null
null
cs.LG cs.AI cs.CY
http://creativecommons.org/licenses/by/4.0/
Traffic accidents present substantial challenges to human safety and socio-economic development in urban areas. Developing a reliable and responsible traffic accident prediction model is crucial to addressing growing public safety concerns and enhancing the safety of urban mobility systems. Traditional methods face l...
[ { "created": "Sun, 10 Sep 2023 16:35:47 GMT", "version": "v1" }, { "created": "Fri, 21 Jun 2024 13:45:44 GMT", "version": "v2" }, { "created": "Wed, 10 Jul 2024 19:05:37 GMT", "version": "v3" }, { "created": "Sat, 27 Jul 2024 10:40:53 GMT", "version": "v4" } ]
2024-07-30
[ [ "Gao", "Xiaowei", "" ], [ "Jiang", "Xinke", "" ], [ "Zhuang", "Dingyi", "" ], [ "Chen", "Huanfa", "" ], [ "Wang", "Shenhao", "" ], [ "Law", "Stephen", "" ], [ "Haworth", "James", "" ] ]
Traffic accidents present substantial challenges to human safety and socio-economic development in urban areas. Developing a reliable and responsible traffic accident prediction model is crucial to addressing growing public safety concerns and enhancing the safety of urban mobility systems. Traditional methods face lim...
2211.03653
Esmaeil Delfaraz Pahlevanloo
Gianlorenzo D'Angelo and Esmaeil Delfaraz
Approximation algorithms for Node-weighted Steiner Problems: Digraphs with Additive Prizes and Graphs with Submodular Prizes
null
null
null
null
cs.DS cs.CC
http://creativecommons.org/licenses/by/4.0/
In the \emph{budgeted rooted node-weighted Steiner tree} problem, we are given a graph $G$ with $n$ nodes, a predefined node $r$, two weights associated to each node modelling costs and prizes. The aim is to find a tree in $G$ rooted at $r$ such that the total cost of its nodes is at most a given budget $B$ and the t...
[ { "created": "Mon, 7 Nov 2022 16:07:03 GMT", "version": "v1" }, { "created": "Sat, 12 Nov 2022 14:19:26 GMT", "version": "v2" } ]
2022-11-15
[ [ "D'Angelo", "Gianlorenzo", "" ], [ "Delfaraz", "Esmaeil", "" ] ]
In the \emph{budgeted rooted node-weighted Steiner tree} problem, we are given a graph $G$ with $n$ nodes, a predefined node $r$, two weights associated to each node modelling costs and prizes. The aim is to find a tree in $G$ rooted at $r$ such that the total cost of its nodes is at most a given budget $B$ and the tot...
1912.12628
Jose Mena Rold\'an
Jos\'e Mena, Oriol Pujol, Jordi Vitri\`a
Dirichlet uncertainty wrappers for actionable algorithm accuracy accountability and auditability
13 pages, 5 figures and 1 table
null
null
null
cs.LG cs.CL stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nowadays, the use of machine learning models is becoming a utility in many applications. Companies deliver pre-trained models encapsulated as application programming interfaces (APIs) that developers combine with third party components and their own models and data to create complex data products to solve specific pr...
[ { "created": "Sun, 29 Dec 2019 11:05:47 GMT", "version": "v1" } ]
2020-01-01
[ [ "Mena", "José", "" ], [ "Pujol", "Oriol", "" ], [ "Vitrià", "Jordi", "" ] ]
Nowadays, the use of machine learning models is becoming a utility in many applications. Companies deliver pre-trained models encapsulated as application programming interfaces (APIs) that developers combine with third party components and their own models and data to create complex data products to solve specific prob...
1712.02036
Yan Huang
Yan Huang, Qi Wu, Liang Wang
Learning Semantic Concepts and Order for Image and Sentence Matching
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Image and sentence matching has made great progress recently, but it remains challenging due to the large visual-semantic discrepancy. This mainly arises from that the representation of pixel-level image usually lacks of high-level semantic information as in its matched sentence. In this work, we propose a semantic-e...
[ { "created": "Wed, 6 Dec 2017 04:36:40 GMT", "version": "v1" } ]
2017-12-07
[ [ "Huang", "Yan", "" ], [ "Wu", "Qi", "" ], [ "Wang", "Liang", "" ] ]
Image and sentence matching has made great progress recently, but it remains challenging due to the large visual-semantic discrepancy. This mainly arises from that the representation of pixel-level image usually lacks of high-level semantic information as in its matched sentence. In this work, we propose a semantic-enh...
2309.07920
Ziang Cao
Ziang Cao, Fangzhou Hong, Tong Wu, Liang Pan, Ziwei Liu
Large-Vocabulary 3D Diffusion Model with Transformer
Project page at https://ziangcao0312.github.io/difftf_pages/
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Creating diverse and high-quality 3D assets with an automatic generative model is highly desirable. Despite extensive efforts on 3D generation, most existing works focus on the generation of a single category or a few categories. In this paper, we introduce a diffusion-based feed-forward framework for synthesizing ma...
[ { "created": "Thu, 14 Sep 2023 17:59:53 GMT", "version": "v1" }, { "created": "Fri, 15 Sep 2023 07:56:34 GMT", "version": "v2" } ]
2023-09-18
[ [ "Cao", "Ziang", "" ], [ "Hong", "Fangzhou", "" ], [ "Wu", "Tong", "" ], [ "Pan", "Liang", "" ], [ "Liu", "Ziwei", "" ] ]
Creating diverse and high-quality 3D assets with an automatic generative model is highly desirable. Despite extensive efforts on 3D generation, most existing works focus on the generation of a single category or a few categories. In this paper, we introduce a diffusion-based feed-forward framework for synthesizing mass...
1306.4363
Sears Merritt
Sears Merritt and Aaron Clauset
Social Network Dynamics in a Massive Online Game: Network Turnover, Non-densification, and Team Engagement in Halo Reach
8 pages, 13 figures
null
null
null
cs.SI physics.data-an physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Online multiplayer games are a popular form of social interaction, used by hundreds of millions of individuals. However, little is known about the social networks within these online games, or how they evolve over time. Understanding human social dynamics within massive online games can shed new light on social inter...
[ { "created": "Tue, 18 Jun 2013 21:36:55 GMT", "version": "v1" } ]
2013-06-20
[ [ "Merritt", "Sears", "" ], [ "Clauset", "Aaron", "" ] ]
Online multiplayer games are a popular form of social interaction, used by hundreds of millions of individuals. However, little is known about the social networks within these online games, or how they evolve over time. Understanding human social dynamics within massive online games can shed new light on social interac...
1608.01947
Jean-Marc Valin
Jean-Marc Valin, Timothy B. Terriberry, Nathan E. Egge, Thomas Daede, Yushin Cho, Christopher Montgomery, Michael Bebenita
Daala: Building A Next-Generation Video Codec From Unconventional Technology
6 pages, accepted for multimedia signal processing (MMSP) workshop, 2016
null
null
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Daala is a new royalty-free video codec that attempts to compete with state-of-the-art royalty-bearing codecs. To do so, it must achieve good compression while avoiding all of their patented techniques. We use technology that is as different as possible from traditional approaches to achieve this. This paper describe...
[ { "created": "Fri, 5 Aug 2016 17:36:51 GMT", "version": "v1" } ]
2016-08-08
[ [ "Valin", "Jean-Marc", "" ], [ "Terriberry", "Timothy B.", "" ], [ "Egge", "Nathan E.", "" ], [ "Daede", "Thomas", "" ], [ "Cho", "Yushin", "" ], [ "Montgomery", "Christopher", "" ], [ "Bebenita", "Michael", ...
Daala is a new royalty-free video codec that attempts to compete with state-of-the-art royalty-bearing codecs. To do so, it must achieve good compression while avoiding all of their patented techniques. We use technology that is as different as possible from traditional approaches to achieve this. This paper describes ...
1302.1258
Lele Wang
Lele Wang, Eren Sasoglu, Bernd Bandemer, and Young-Han Kim
A Comparison of Superposition Coding Schemes
5 pages, 3 figures, 1 table, submitted to IEEE International Symposium on Information Theory (ISIT 2013)
null
10.1109/ISIT.2013.6620770
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There are two variants of superposition coding schemes. Cover's original superposition coding scheme has code clouds of the identical shape, while Bergmans's superposition coding scheme has code clouds of independently generated shapes. These two schemes yield identical achievable rate regions in several scenarios, s...
[ { "created": "Wed, 6 Feb 2013 04:13:40 GMT", "version": "v1" } ]
2016-11-15
[ [ "Wang", "Lele", "" ], [ "Sasoglu", "Eren", "" ], [ "Bandemer", "Bernd", "" ], [ "Kim", "Young-Han", "" ] ]
There are two variants of superposition coding schemes. Cover's original superposition coding scheme has code clouds of the identical shape, while Bergmans's superposition coding scheme has code clouds of independently generated shapes. These two schemes yield identical achievable rate regions in several scenarios, suc...
2006.11589
Calvin Beideman
Calvin Beideman, Karthekeyan Chandrasekaran and Chao Xu
Multicritera Cuts and Size-Constrained $k$-cuts in Hypergraphs
Accepted to RANDOM 2020
null
null
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We address counting and optimization variants of multicriteria global min-cut and size-constrained min-$k$-cut in hypergraphs. 1. For an $r$-rank $n$-vertex hypergraph endowed with $t$ hyperedge-cost functions, we show that the number of multiobjective min-cuts is $O(r2^{tr}n^{3t-1})$. In particular, this shows tha...
[ { "created": "Sat, 20 Jun 2020 14:41:00 GMT", "version": "v1" } ]
2020-06-23
[ [ "Beideman", "Calvin", "" ], [ "Chandrasekaran", "Karthekeyan", "" ], [ "Xu", "Chao", "" ] ]
We address counting and optimization variants of multicriteria global min-cut and size-constrained min-$k$-cut in hypergraphs. 1. For an $r$-rank $n$-vertex hypergraph endowed with $t$ hyperedge-cost functions, we show that the number of multiobjective min-cuts is $O(r2^{tr}n^{3t-1})$. In particular, this shows that th...
2405.15135
Xianglin Yang
Xianglin Yang, Jin Song Dong
Exploring the Evolution of Hidden Activations with Live-Update Visualization
Preprint
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Monitoring the training of neural networks is essential for identifying potential data anomalies, enabling timely interventions and conserving significant computational resources. Apart from the commonly used metrics such as losses and validation accuracies, the hidden representation could give more insight into the ...
[ { "created": "Fri, 24 May 2024 01:23:20 GMT", "version": "v1" } ]
2024-05-27
[ [ "Yang", "Xianglin", "" ], [ "Dong", "Jin Song", "" ] ]
Monitoring the training of neural networks is essential for identifying potential data anomalies, enabling timely interventions and conserving significant computational resources. Apart from the commonly used metrics such as losses and validation accuracies, the hidden representation could give more insight into the mo...
2306.15864
Peide Huang
Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by-sa/4.0/
Training control policies in simulation is more appealing than on real robots directly, as it allows for exploring diverse states in an efficient manner. Yet, robot simulators inevitably exhibit disparities from the real-world \rebut{dynamics}, yielding inaccuracies that manifest as the dynamical simulation-to-realit...
[ { "created": "Wed, 28 Jun 2023 01:32:45 GMT", "version": "v1" }, { "created": "Thu, 19 Oct 2023 18:41:07 GMT", "version": "v2" } ]
2023-10-23
[ [ "Huang", "Peide", "" ], [ "Zhang", "Xilun", "" ], [ "Cao", "Ziang", "" ], [ "Liu", "Shiqi", "" ], [ "Xu", "Mengdi", "" ], [ "Ding", "Wenhao", "" ], [ "Francis", "Jonathan", "" ], [ "Chen", "Bing...
Training control policies in simulation is more appealing than on real robots directly, as it allows for exploring diverse states in an efficient manner. Yet, robot simulators inevitably exhibit disparities from the real-world \rebut{dynamics}, yielding inaccuracies that manifest as the dynamical simulation-to-reality ...
2304.14329
Aviv Netanyahu
Aviv Netanyahu, Abhishek Gupta, Max Simchowitz, Kaiqing Zhang, Pulkit Agrawal
Learning to Extrapolate: A Transductive Approach
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Machine learning systems, especially with overparameterized deep neural networks, can generalize to novel test instances drawn from the same distribution as the training data. However, they fare poorly when evaluated on out-of-support test points. In this work, we tackle the problem of developing machine learning sys...
[ { "created": "Thu, 27 Apr 2023 17:00:51 GMT", "version": "v1" } ]
2023-04-28
[ [ "Netanyahu", "Aviv", "" ], [ "Gupta", "Abhishek", "" ], [ "Simchowitz", "Max", "" ], [ "Zhang", "Kaiqing", "" ], [ "Agrawal", "Pulkit", "" ] ]
Machine learning systems, especially with overparameterized deep neural networks, can generalize to novel test instances drawn from the same distribution as the training data. However, they fare poorly when evaluated on out-of-support test points. In this work, we tackle the problem of developing machine learning syste...
1503.07991
Thim Strothmann
Joshua J. Daymude, Zahra Derakhshandeh, Robert Gmyr, Thim Strothmann, Rida Bazzi, Andr\'ea W. Richa, Christian Scheideler
Leader Election and Shape Formation with Self-Organizing Programmable Matter
null
null
null
null
cs.ET
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider programmable matter consisting of simple computational elements, called particles, that can establish and release bonds and can actively move in a self-organized way, and we investigate the feasibility of solving fundamental problems relevant for programmable matter. As a suitable model for such self-orga...
[ { "created": "Fri, 27 Mar 2015 08:57:41 GMT", "version": "v1" }, { "created": "Thu, 31 Mar 2016 07:45:33 GMT", "version": "v2" } ]
2016-04-01
[ [ "Daymude", "Joshua J.", "" ], [ "Derakhshandeh", "Zahra", "" ], [ "Gmyr", "Robert", "" ], [ "Strothmann", "Thim", "" ], [ "Bazzi", "Rida", "" ], [ "Richa", "Andréa W.", "" ], [ "Scheideler", "Christian", ""...
We consider programmable matter consisting of simple computational elements, called particles, that can establish and release bonds and can actively move in a self-organized way, and we investigate the feasibility of solving fundamental problems relevant for programmable matter. As a suitable model for such self-organi...
2209.00943
Ricardo Morla
Gon\c{c}alo Xavier, Carlos Novo, Ricardo Morla
Tweaking Metasploit to Evade Encrypted C2 Traffic Detection
null
null
null
null
cs.CR cs.LG cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Command and Control (C2) communication is a key component of any structured cyber-attack. As such, security operations actively try to detect this type of communication in their networks. This poses a problem for legitimate pentesters that try to remain undetected, since commonly used pentesting tools, such as Metasp...
[ { "created": "Fri, 2 Sep 2022 10:56:15 GMT", "version": "v1" } ]
2022-09-05
[ [ "Xavier", "Gonçalo", "" ], [ "Novo", "Carlos", "" ], [ "Morla", "Ricardo", "" ] ]
Command and Control (C2) communication is a key component of any structured cyber-attack. As such, security operations actively try to detect this type of communication in their networks. This poses a problem for legitimate pentesters that try to remain undetected, since commonly used pentesting tools, such as Metasplo...
1903.03695
Ashwini Tonge
Ashwini Tonge and Cornelia Caragea
Image Privacy Prediction Using Deep Neural Networks
null
null
null
null
cs.CV cs.CY
http://creativecommons.org/licenses/by/4.0/
Images today are increasingly shared online on social networking sites such as Facebook, Flickr, Foursquare, and Instagram. Despite that current social networking sites allow users to change their privacy preferences, this is often a cumbersome task for the vast majority of users on the Web, who face difficulties in ...
[ { "created": "Fri, 8 Mar 2019 23:12:12 GMT", "version": "v1" } ]
2019-03-12
[ [ "Tonge", "Ashwini", "" ], [ "Caragea", "Cornelia", "" ] ]
Images today are increasingly shared online on social networking sites such as Facebook, Flickr, Foursquare, and Instagram. Despite that current social networking sites allow users to change their privacy preferences, this is often a cumbersome task for the vast majority of users on the Web, who face difficulties in as...