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1803.02883
Naren Srivaths Raman
Naren Srivaths Raman and Prabir Barooah
On the round-trip efficiency of an HVAC-based virtual battery
Added a new simulation case study
null
null
null
cs.SY math.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Flexible loads, especially heating, ventilation, and air-conditioning (HVAC) systems can be used to provide a battery-like service to the power grid by varying their demand up and down over a baseline. Recent work has reported that providing virtual energy storage with HVAC systems lead to a net loss of energy, akin ...
[ { "created": "Wed, 7 Mar 2018 21:40:09 GMT", "version": "v1" }, { "created": "Tue, 13 Mar 2018 14:49:02 GMT", "version": "v2" }, { "created": "Mon, 5 Nov 2018 18:38:36 GMT", "version": "v3" } ]
2018-11-06
[ [ "Raman", "Naren Srivaths", "" ], [ "Barooah", "Prabir", "" ] ]
Flexible loads, especially heating, ventilation, and air-conditioning (HVAC) systems can be used to provide a battery-like service to the power grid by varying their demand up and down over a baseline. Recent work has reported that providing virtual energy storage with HVAC systems lead to a net loss of energy, akin to...
2101.07136
Philipp D. Rohde
M\'onica Figuera and Philipp D. Rohde and Maria-Esther Vidal
Trav-SHACL: Efficiently Validating Networks of SHACL Constraints
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Knowledge graphs have emerged as expressive data structures for Web data. Knowledge graph potential and the demand for ecosystems to facilitate their creation, curation, and understanding, is testified in diverse domains, e.g., biomedicine. The Shapes Constraint Language (SHACL) is the W3C recommendation language for...
[ { "created": "Mon, 18 Jan 2021 15:57:14 GMT", "version": "v1" } ]
2021-01-19
[ [ "Figuera", "Mónica", "" ], [ "Rohde", "Philipp D.", "" ], [ "Vidal", "Maria-Esther", "" ] ]
Knowledge graphs have emerged as expressive data structures for Web data. Knowledge graph potential and the demand for ecosystems to facilitate their creation, curation, and understanding, is testified in diverse domains, e.g., biomedicine. The Shapes Constraint Language (SHACL) is the W3C recommendation language for i...
2111.02331
Erh-Chung Chen
Erh-Chung Chen, Che-Rung Lee
LTD: Low Temperature Distillation for Robust Adversarial Training
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Adversarial training has been widely used to enhance the robustness of neural network models against adversarial attacks. Despite the popularity of neural network models, a significant gap exists between the natural and robust accuracy of these models. In this paper, we identify one of the primary reasons for this ga...
[ { "created": "Wed, 3 Nov 2021 16:26:00 GMT", "version": "v1" }, { "created": "Sun, 10 Apr 2022 04:15:11 GMT", "version": "v2" }, { "created": "Fri, 30 Jun 2023 06:56:18 GMT", "version": "v3" } ]
2023-07-03
[ [ "Chen", "Erh-Chung", "" ], [ "Lee", "Che-Rung", "" ] ]
Adversarial training has been widely used to enhance the robustness of neural network models against adversarial attacks. Despite the popularity of neural network models, a significant gap exists between the natural and robust accuracy of these models. In this paper, we identify one of the primary reasons for this gap ...
cs/0604031
Amos Lapidoth
Amos Lapidoth and Ligong Wang
On the Low SNR Capacity of Peak-Limited Non-Coherent Fading Channels with Memory
null
null
null
null
cs.IT math.IT
null
The capacity of non-coherent stationary Gaussian fading channels with memory under a peak-power constraint is studied in the asymptotic weak-signal regime. It is assumed that the fading law is known to both transmitter and receiver but that neither is cognizant of the fading realization. A connection is demonstrated ...
[ { "created": "Fri, 7 Apr 2006 23:29:27 GMT", "version": "v1" } ]
2007-07-13
[ [ "Lapidoth", "Amos", "" ], [ "Wang", "Ligong", "" ] ]
The capacity of non-coherent stationary Gaussian fading channels with memory under a peak-power constraint is studied in the asymptotic weak-signal regime. It is assumed that the fading law is known to both transmitter and receiver but that neither is cognizant of the fading realization. A connection is demonstrated be...
2407.05603
Pingyi Chen
Pingyi Chen, Chenglu Zhu, Sunyi Zheng, Honglin Li, Lin Yang
WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering
Accepted at ECCV 2024
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Whole slide imaging is routinely adopted for carcinoma diagnosis and prognosis. Abundant experience is required for pathologists to achieve accurate and reliable diagnostic results of whole slide images (WSI). The huge size and heterogeneous features of WSIs make the workflow of pathological reading extremely time-co...
[ { "created": "Mon, 8 Jul 2024 04:37:32 GMT", "version": "v1" } ]
2024-07-09
[ [ "Chen", "Pingyi", "" ], [ "Zhu", "Chenglu", "" ], [ "Zheng", "Sunyi", "" ], [ "Li", "Honglin", "" ], [ "Yang", "Lin", "" ] ]
Whole slide imaging is routinely adopted for carcinoma diagnosis and prognosis. Abundant experience is required for pathologists to achieve accurate and reliable diagnostic results of whole slide images (WSI). The huge size and heterogeneous features of WSIs make the workflow of pathological reading extremely time-cons...
2111.04260
Avanika Narayan
Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher R\'e (Department of Computer Science, Stanford University)
Personalized Benchmarking with the Ludwig Benchmarking Toolkit
14 pages, 14 figures, 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rapid proliferation of machine learning models across domains and deployment settings has given rise to various communities (e.g. industry practitioners) which seek to benchmark models across tasks and objectives of personal value. Unfortunately, these users cannot use standard benchmark results to perform such v...
[ { "created": "Mon, 8 Nov 2021 03:53:38 GMT", "version": "v1" } ]
2021-11-09
[ [ "Narayan", "Avanika", "", "Department of Computer Science, Stanford University" ], [ "Molino", "Piero", "", "Department of Computer Science, Stanford University" ], [ "Goel", "Karan", "", "Department of Computer Science, Stanford University" ], [ "Ne...
The rapid proliferation of machine learning models across domains and deployment settings has given rise to various communities (e.g. industry practitioners) which seek to benchmark models across tasks and objectives of personal value. Unfortunately, these users cannot use standard benchmark results to perform such val...
2407.17911
Kang-Yang Huang
Jian-Yu Jiang-Lin, Kang-Yang Huang, Ling Lo, Yi-Ning Huang, Terence Lin, Jhih-Ciang Wu, Hong-Han Shuai, Wen-Huang Cheng
ReCorD: Reasoning and Correcting Diffusion for HOI Generation
Accepted by ACM MM 2024. Project website: https://alberthkyhky.github.io/ReCorD/
null
10.1145/3664647.3680936
null
cs.MM cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diffusion models revolutionize image generation by leveraging natural language to guide the creation of multimedia content. Despite significant advancements in such generative models, challenges persist in depicting detailed human-object interactions, especially regarding pose and object placement accuracy. We introd...
[ { "created": "Thu, 25 Jul 2024 10:06:26 GMT", "version": "v1" } ]
2024-07-26
[ [ "Jiang-Lin", "Jian-Yu", "" ], [ "Huang", "Kang-Yang", "" ], [ "Lo", "Ling", "" ], [ "Huang", "Yi-Ning", "" ], [ "Lin", "Terence", "" ], [ "Wu", "Jhih-Ciang", "" ], [ "Shuai", "Hong-Han", "" ], [ "Ch...
Diffusion models revolutionize image generation by leveraging natural language to guide the creation of multimedia content. Despite significant advancements in such generative models, challenges persist in depicting detailed human-object interactions, especially regarding pose and object placement accuracy. We introduc...
2311.03792
Shrestha Datta
Jakir Hasan, Shrestha Datta, Ameya Debnath
Character-Level Bangla Text-to-IPA Transcription Using Transformer Architecture with Sequence Alignment
Achieved top position with a word error rate of 0.10582 in the public ranking of DataVerse Challenge - ITVerse 2023 (link: https://www.kaggle.com/competitions/dataverse_2023/). All codes can be found on the respective competition webpage
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
The International Phonetic Alphabet (IPA) is indispensable in language learning and understanding, aiding users in accurate pronunciation and comprehension. Additionally, it plays a pivotal role in speech therapy, linguistic research, accurate transliteration, and the development of text-to-speech systems, making it ...
[ { "created": "Tue, 7 Nov 2023 08:20:06 GMT", "version": "v1" } ]
2023-11-08
[ [ "Hasan", "Jakir", "" ], [ "Datta", "Shrestha", "" ], [ "Debnath", "Ameya", "" ] ]
The International Phonetic Alphabet (IPA) is indispensable in language learning and understanding, aiding users in accurate pronunciation and comprehension. Additionally, it plays a pivotal role in speech therapy, linguistic research, accurate transliteration, and the development of text-to-speech systems, making it an...
2307.10710
Litian Liang
Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su
Reparameterized Policy Learning for Multimodal Trajectory Optimization
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
We investigate the challenge of parametrizing policies for reinforcement learning (RL) in high-dimensional continuous action spaces. Our objective is to develop a multimodal policy that overcomes limitations inherent in the commonly-used Gaussian parameterization. To achieve this, we propose a principled framework th...
[ { "created": "Thu, 20 Jul 2023 09:05:46 GMT", "version": "v1" } ]
2023-07-21
[ [ "Huang", "Zhiao", "" ], [ "Liang", "Litian", "" ], [ "Ling", "Zhan", "" ], [ "Li", "Xuanlin", "" ], [ "Gan", "Chuang", "" ], [ "Su", "Hao", "" ] ]
We investigate the challenge of parametrizing policies for reinforcement learning (RL) in high-dimensional continuous action spaces. Our objective is to develop a multimodal policy that overcomes limitations inherent in the commonly-used Gaussian parameterization. To achieve this, we propose a principled framework that...
2011.10684
Haozhe Feng
Hao-Zhe Feng, Kezhi Kong, Minghao Chen, Tianye Zhang, Minfeng Zhu, Wei Chen
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations
12 pages, 6 figures, Accepted for presentation at AAAI2021
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Semi-supervised variational autoencoders (VAEs) have obtained strong results, but have also encountered the challenge that good ELBO values do not always imply accurate inference results. In this paper, we investigate and propose two causes of this problem: (1) The ELBO objective cannot utilize the label information ...
[ { "created": "Sat, 21 Nov 2020 00:38:31 GMT", "version": "v1" }, { "created": "Wed, 2 Dec 2020 09:27:54 GMT", "version": "v2" }, { "created": "Thu, 3 Dec 2020 07:44:59 GMT", "version": "v3" }, { "created": "Tue, 8 Dec 2020 07:04:44 GMT", "version": "v4" } ]
2020-12-09
[ [ "Feng", "Hao-Zhe", "" ], [ "Kong", "Kezhi", "" ], [ "Chen", "Minghao", "" ], [ "Zhang", "Tianye", "" ], [ "Zhu", "Minfeng", "" ], [ "Chen", "Wei", "" ] ]
Semi-supervised variational autoencoders (VAEs) have obtained strong results, but have also encountered the challenge that good ELBO values do not always imply accurate inference results. In this paper, we investigate and propose two causes of this problem: (1) The ELBO objective cannot utilize the label information di...
1507.08240
Yajie Miao
Yajie Miao, Mohammad Gowayyed, Florian Metze
EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding
null
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The performance of automatic speech recognition (ASR) has improved tremendously due to the application of deep neural networks (DNNs). Despite this progress, building a new ASR system remains a challenging task, requiring various resources, multiple training stages and significant expertise. This paper presents our E...
[ { "created": "Wed, 29 Jul 2015 17:53:50 GMT", "version": "v1" }, { "created": "Tue, 13 Oct 2015 21:03:34 GMT", "version": "v2" }, { "created": "Sun, 18 Oct 2015 20:35:52 GMT", "version": "v3" } ]
2015-10-20
[ [ "Miao", "Yajie", "" ], [ "Gowayyed", "Mohammad", "" ], [ "Metze", "Florian", "" ] ]
The performance of automatic speech recognition (ASR) has improved tremendously due to the application of deep neural networks (DNNs). Despite this progress, building a new ASR system remains a challenging task, requiring various resources, multiple training stages and significant expertise. This paper presents our Ees...
1904.04749
Lucas Gren
Lucas Gren
Social Influence in Agile Requirements Engineering
null
Work in Progress Session held in connection with the 43rd Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 2017
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Agile requirements engineering implies more complex communication patterns since even the developers are supposed to have direct contact with customers. With more face-to-face communication comes social-psychological factors influencing the requirements. Studies have pointed at the importance of negotiation training,...
[ { "created": "Fri, 5 Apr 2019 18:47:47 GMT", "version": "v1" } ]
2019-04-10
[ [ "Gren", "Lucas", "" ] ]
Agile requirements engineering implies more complex communication patterns since even the developers are supposed to have direct contact with customers. With more face-to-face communication comes social-psychological factors influencing the requirements. Studies have pointed at the importance of negotiation training, b...
0807.1372
Danilo Silva
Danilo Silva, Frank R. Kschischang, Ralf K\"otter
Communication over Finite-Field Matrix Channels
24 pages, to be published at the IEEE Transactions on Information Theory
IEEE Transactions on Information Theory, vol. 56, no. 3, pp. 1296-1305, Mar. 2010
10.1109/TIT.2009.2039167
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper is motivated by the problem of error control in network coding when errors are introduced in a random fashion (rather than chosen by an adversary). An additive-multiplicative matrix channel is considered as a model for random network coding. The model assumes that n packets of length m are transmitted over...
[ { "created": "Wed, 9 Jul 2008 04:25:44 GMT", "version": "v1" }, { "created": "Tue, 7 Jul 2009 01:57:55 GMT", "version": "v2" }, { "created": "Fri, 11 Sep 2009 09:18:44 GMT", "version": "v3" }, { "created": "Mon, 14 Sep 2009 13:08:21 GMT", "version": "v4" } ]
2019-05-07
[ [ "Silva", "Danilo", "" ], [ "Kschischang", "Frank R.", "" ], [ "Kötter", "Ralf", "" ] ]
This paper is motivated by the problem of error control in network coding when errors are introduced in a random fashion (rather than chosen by an adversary). An additive-multiplicative matrix channel is considered as a model for random network coding. The model assumes that n packets of length m are transmitted over t...
2106.05227
Pardis Emami-Naeini
Pardis Emami-Naeini, Tiona Francisco, Tadayoshi Kohno, Franziska Roesner
Understanding Privacy Attitudes and Concerns Towards Remote Communications During the COVID-19 Pandemic
To appear at the 17th Symposium on Usable Privacy and Security (SOUPS'21)
null
null
null
cs.CY cs.CR cs.HC cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Since December 2019, the COVID-19 pandemic has caused people around the world to exercise social distancing, which has led to an abrupt rise in the adoption of remote communications for working, socializing, and learning from home. As remote communications will outlast the pandemic, it is crucial to protect users' se...
[ { "created": "Wed, 9 Jun 2021 17:17:06 GMT", "version": "v1" } ]
2021-06-10
[ [ "Emami-Naeini", "Pardis", "" ], [ "Francisco", "Tiona", "" ], [ "Kohno", "Tadayoshi", "" ], [ "Roesner", "Franziska", "" ] ]
Since December 2019, the COVID-19 pandemic has caused people around the world to exercise social distancing, which has led to an abrupt rise in the adoption of remote communications for working, socializing, and learning from home. As remote communications will outlast the pandemic, it is crucial to protect users' secu...
1009.0896
Farnood Merrikh-Bayat
Farnood Merrikh-Bayat and Saeed Bagheri Shouraki
Memristor Crossbar-based Hardware Implementation of Fuzzy Membership Functions
5 pages, 5 figures, Submitted to ICCAE 2011 conference
null
null
null
cs.NE cs.AI cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In May 1, 2008, researchers at Hewlett Packard (HP) announced the first physical realization of a fundamental circuit element called memristor that attracted so much interest worldwide. This newly found element can easily be combined with crossbar interconnect technology which this new structure has opened a new fiel...
[ { "created": "Sun, 5 Sep 2010 07:46:47 GMT", "version": "v1" } ]
2010-09-07
[ [ "Merrikh-Bayat", "Farnood", "" ], [ "Shouraki", "Saeed Bagheri", "" ] ]
In May 1, 2008, researchers at Hewlett Packard (HP) announced the first physical realization of a fundamental circuit element called memristor that attracted so much interest worldwide. This newly found element can easily be combined with crossbar interconnect technology which this new structure has opened a new field ...
1812.10896
Hoang-Quoc Nguyen-Son
Hoang-Quoc Nguyen-Son, Ngoc-Dung T. Tieu, Huy H. Nguyen, Junichi Yamagishi, and Isao Echizen
Identifying Computer-Translated Paragraphs using Coherence Features
9 pages, PACLIC 2018
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We have developed a method for extracting the coherence features from a paragraph by matching similar words in its sentences. We conducted an experiment with a parallel German corpus containing 2000 human-created and 2000 machine-translated paragraphs. The result showed that our method achieved the best performance (...
[ { "created": "Fri, 28 Dec 2018 05:35:31 GMT", "version": "v1" } ]
2018-12-31
[ [ "Nguyen-Son", "Hoang-Quoc", "" ], [ "Tieu", "Ngoc-Dung T.", "" ], [ "Nguyen", "Huy H.", "" ], [ "Yamagishi", "Junichi", "" ], [ "Echizen", "Isao", "" ] ]
We have developed a method for extracting the coherence features from a paragraph by matching similar words in its sentences. We conducted an experiment with a parallel German corpus containing 2000 human-created and 2000 machine-translated paragraphs. The result showed that our method achieved the best performance (ac...
1405.5336
Mingyue Ji
Mingyue Ji, Giuseppe Caire, Andreas F. Molisch
Fundamental Limits of Caching in Wireless D2D Networks
45 pages, 5 figures, Submitted to IEEE Transactions on Information Theory, This is the extended version of the conference (ITW) paper arXiv:1304.5856
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a wireless Device-to-Device (D2D) network where communication is restricted to be single-hop. Users make arbitrary requests from a finite library of files and have pre-cached information on their devices, subject to a per-node storage capacity constraint. A similar problem has already been considered in a...
[ { "created": "Wed, 21 May 2014 08:55:05 GMT", "version": "v1" } ]
2014-05-22
[ [ "Ji", "Mingyue", "" ], [ "Caire", "Giuseppe", "" ], [ "Molisch", "Andreas F.", "" ] ]
We consider a wireless Device-to-Device (D2D) network where communication is restricted to be single-hop. Users make arbitrary requests from a finite library of files and have pre-cached information on their devices, subject to a per-node storage capacity constraint. A similar problem has already been considered in an ...
2012.09259
Ajinkya Tejankar
Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, and Hamed Pirsiavash
ISD: Self-Supervised Learning by Iterative Similarity Distillation
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Recently, contrastive learning has achieved great results in self-supervised learning, where the main idea is to push two augmentations of an image (positive pairs) closer compared to other random images (negative pairs). We argue that not all random images are equal. Hence, we introduce a self supervised learning al...
[ { "created": "Wed, 16 Dec 2020 20:50:17 GMT", "version": "v1" }, { "created": "Mon, 10 May 2021 14:20:59 GMT", "version": "v2" }, { "created": "Fri, 10 Sep 2021 15:06:27 GMT", "version": "v3" } ]
2021-09-13
[ [ "Tejankar", "Ajinkya", "" ], [ "Koohpayegani", "Soroush Abbasi", "" ], [ "Pillai", "Vipin", "" ], [ "Favaro", "Paolo", "" ], [ "Pirsiavash", "Hamed", "" ] ]
Recently, contrastive learning has achieved great results in self-supervised learning, where the main idea is to push two augmentations of an image (positive pairs) closer compared to other random images (negative pairs). We argue that not all random images are equal. Hence, we introduce a self supervised learning algo...
2011.11579
Megan Johnson
Megan Johnson, Jae-Hun Jung
The Interconnectivity Vector: A Finite-Dimensional Vector Representation of Persistent Homology
28 pages, 20 figures
null
null
null
cs.CG cs.LG
http://creativecommons.org/licenses/by/4.0/
Persistent Homology (PH) is a useful tool to study the underlying structure of a data set. Persistence Diagrams (PDs), which are 2D multisets of points, are a concise summary of the information found by studying the PH of a data set. However, PDs are difficult to incorporate into a typical machine learning workflow. ...
[ { "created": "Mon, 23 Nov 2020 17:43:06 GMT", "version": "v1" } ]
2020-11-24
[ [ "Johnson", "Megan", "" ], [ "Jung", "Jae-Hun", "" ] ]
Persistent Homology (PH) is a useful tool to study the underlying structure of a data set. Persistence Diagrams (PDs), which are 2D multisets of points, are a concise summary of the information found by studying the PH of a data set. However, PDs are difficult to incorporate into a typical machine learning workflow. To...
2204.05176
Arushi Jain
Arushi Jain, Sharan Vaswani, Reza Babanezhad, Csaba Szepesvari, Doina Precup
Towards Painless Policy Optimization for Constrained MDPs
Paper under submission. 27 pages, 12 figures
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study policy optimization in an infinite horizon, $\gamma$-discounted constrained Markov decision process (CMDP). Our objective is to return a policy that achieves large expected reward with a small constraint violation. We consider the online setting with linear function approximation and assume global access to ...
[ { "created": "Mon, 11 Apr 2022 15:08:09 GMT", "version": "v1" } ]
2022-04-12
[ [ "Jain", "Arushi", "" ], [ "Vaswani", "Sharan", "" ], [ "Babanezhad", "Reza", "" ], [ "Szepesvari", "Csaba", "" ], [ "Precup", "Doina", "" ] ]
We study policy optimization in an infinite horizon, $\gamma$-discounted constrained Markov decision process (CMDP). Our objective is to return a policy that achieves large expected reward with a small constraint violation. We consider the online setting with linear function approximation and assume global access to th...
2110.09508
Ekta Gavas
Ekta Gavas and Kaustubh Olpadkar
Deep CNNs for Peripheral Blood Cell Classification
20 pages, 14 figures, Submitted at MIDL 2021
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The application of machine learning techniques to the medical domain is especially challenging due to the required level of precision and the incurrence of huge risks of minute errors. Employing these techniques to a more complex subdomain of hematological diagnosis seems quite promising, with automatic identificatio...
[ { "created": "Mon, 18 Oct 2021 17:56:07 GMT", "version": "v1" } ]
2021-10-19
[ [ "Gavas", "Ekta", "" ], [ "Olpadkar", "Kaustubh", "" ] ]
The application of machine learning techniques to the medical domain is especially challenging due to the required level of precision and the incurrence of huge risks of minute errors. Employing these techniques to a more complex subdomain of hematological diagnosis seems quite promising, with automatic identification ...
1811.11881
Karthik Abinav Sankararaman
Nicole Immorlica and Karthik Abinav Sankararaman and Robert Schapire and Aleksandrs Slivkins
Adversarial Bandits with Knapsacks
The extended abstract appeared in FOCS 2019. The definitive version was published in JACM '22. V8 is the latest version with all technical changes. Subsequent versions fixes minor LATEX presentation issues
null
null
null
cs.DS cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
We consider Bandits with Knapsacks (henceforth, BwK), a general model for multi-armed bandits under supply/budget constraints. In particular, a bandit algorithm needs to solve a well-known knapsack problem: find an optimal packing of items into a limited-size knapsack. The BwK problem is a common generalization of nu...
[ { "created": "Wed, 28 Nov 2018 23:43:11 GMT", "version": "v1" }, { "created": "Mon, 6 Feb 2023 01:43:48 GMT", "version": "v10" }, { "created": "Tue, 7 Mar 2023 04:06:03 GMT", "version": "v11" }, { "created": "Wed, 19 Dec 2018 02:13:00 GMT", "version": "v2" }, { "c...
2023-03-08
[ [ "Immorlica", "Nicole", "" ], [ "Sankararaman", "Karthik Abinav", "" ], [ "Schapire", "Robert", "" ], [ "Slivkins", "Aleksandrs", "" ] ]
We consider Bandits with Knapsacks (henceforth, BwK), a general model for multi-armed bandits under supply/budget constraints. In particular, a bandit algorithm needs to solve a well-known knapsack problem: find an optimal packing of items into a limited-size knapsack. The BwK problem is a common generalization of nume...
1712.09726
Sanaullah Manzoor
Sanaullah Manzoor, Ghulam Abbas, Masroor Hussain
CHOKeD: A Fair Active Queue Management System
MS thesis
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fairness is the significant factor to sustain best effort delivery of network services. Now-a-days, real-time multimedia applications have evolved largely over the Internet. Most of multimedia services are unresponsive during network congestion. Unresponsive traffic streams steal most network bandwidth and starve out...
[ { "created": "Sat, 23 Dec 2017 10:06:58 GMT", "version": "v1" } ]
2017-12-29
[ [ "Manzoor", "Sanaullah", "" ], [ "Abbas", "Ghulam", "" ], [ "Hussain", "Masroor", "" ] ]
Fairness is the significant factor to sustain best effort delivery of network services. Now-a-days, real-time multimedia applications have evolved largely over the Internet. Most of multimedia services are unresponsive during network congestion. Unresponsive traffic streams steal most network bandwidth and starve out s...
2202.05983
Kailas Vodrahalli
Kailas Vodrahalli, Tobias Gerstenberg, and James Zou
Uncalibrated Models Can Improve Human-AI Collaboration
21 pages, 12 figures, NeurIPS 2022
null
null
null
cs.AI cs.CV cs.HC cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In many practical applications of AI, an AI model is used as a decision aid for human users. The AI provides advice that a human (sometimes) incorporates into their decision-making process. The AI advice is often presented with some measure of "confidence" that the human can use to calibrate how much they depend on o...
[ { "created": "Sat, 12 Feb 2022 04:51:00 GMT", "version": "v1" }, { "created": "Wed, 1 Jun 2022 22:25:53 GMT", "version": "v2" }, { "created": "Fri, 28 Oct 2022 01:43:51 GMT", "version": "v3" } ]
2022-10-31
[ [ "Vodrahalli", "Kailas", "" ], [ "Gerstenberg", "Tobias", "" ], [ "Zou", "James", "" ] ]
In many practical applications of AI, an AI model is used as a decision aid for human users. The AI provides advice that a human (sometimes) incorporates into their decision-making process. The AI advice is often presented with some measure of "confidence" that the human can use to calibrate how much they depend on or ...
2009.08636
Jihyeon Roh
Jihyeon Roh, Huiseong Gim, Soo-Young Lee
Hierarchical GPT with Congruent Transformers for Multi-Sentence Language Models
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We report a GPT-based multi-sentence language model for dialogue generation and document understanding. First, we propose a hierarchical GPT which consists of three blocks, i.e., a sentence encoding block, a sentence generating block, and a sentence decoding block. The sentence encoding and decoding blocks are basica...
[ { "created": "Fri, 18 Sep 2020 05:55:37 GMT", "version": "v1" } ]
2020-09-21
[ [ "Roh", "Jihyeon", "" ], [ "Gim", "Huiseong", "" ], [ "Lee", "Soo-Young", "" ] ]
We report a GPT-based multi-sentence language model for dialogue generation and document understanding. First, we propose a hierarchical GPT which consists of three blocks, i.e., a sentence encoding block, a sentence generating block, and a sentence decoding block. The sentence encoding and decoding blocks are basicall...
1501.01905
Unai Ugalde
U. Ugalde, J. Anduaga, F. Martinez and A. Iturrospe
SHM method for damage localization based on substructuring and VARX models
null
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A novel damage localization method is proposed, which is based on a substructuring approach and makes use of Vector Auto-Regressive with eXogenous input (VARX) models. The substructuring approach aims to divide the monitored structure into several multi-DOF isolated substructures. Later, each individual substructure ...
[ { "created": "Thu, 8 Jan 2015 17:22:31 GMT", "version": "v1" } ]
2015-01-09
[ [ "Ugalde", "U.", "" ], [ "Anduaga", "J.", "" ], [ "Martinez", "F.", "" ], [ "Iturrospe", "A.", "" ] ]
A novel damage localization method is proposed, which is based on a substructuring approach and makes use of Vector Auto-Regressive with eXogenous input (VARX) models. The substructuring approach aims to divide the monitored structure into several multi-DOF isolated substructures. Later, each individual substructure is...
2309.05076
Maximilian Croissant
Maximilian Croissant, Madeleine Frister, Guy Schofield, Cade McCall
An Appraisal-Based Chain-Of-Emotion Architecture for Affective Language Model Game Agents
null
null
null
null
cs.AI cs.CL cs.HC
http://creativecommons.org/licenses/by/4.0/
The development of believable, natural, and interactive digital artificial agents is a field of growing interest. Theoretical uncertainties and technical barriers present considerable challenges to the field, particularly with regards to developing agents that effectively simulate human emotions. Large language model...
[ { "created": "Sun, 10 Sep 2023 16:55:49 GMT", "version": "v1" } ]
2023-09-12
[ [ "Croissant", "Maximilian", "" ], [ "Frister", "Madeleine", "" ], [ "Schofield", "Guy", "" ], [ "McCall", "Cade", "" ] ]
The development of believable, natural, and interactive digital artificial agents is a field of growing interest. Theoretical uncertainties and technical barriers present considerable challenges to the field, particularly with regards to developing agents that effectively simulate human emotions. Large language models ...
1905.08205
Jiaqi Guo
Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, Dongmei Zhang
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
To appear in ACL 2019
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a neural approach called IRNet for complex and cross-domain Text-to-SQL. IRNet aims to address two challenges: 1) the mismatch between intents expressed in natural language (NL) and the implementation details in SQL; 2) the challenge in predicting columns caused by the large number of out-of-domain words. ...
[ { "created": "Mon, 20 May 2019 16:44:00 GMT", "version": "v1" }, { "created": "Wed, 29 May 2019 02:50:00 GMT", "version": "v2" } ]
2019-05-30
[ [ "Guo", "Jiaqi", "" ], [ "Zhan", "Zecheng", "" ], [ "Gao", "Yan", "" ], [ "Xiao", "Yan", "" ], [ "Lou", "Jian-Guang", "" ], [ "Liu", "Ting", "" ], [ "Zhang", "Dongmei", "" ] ]
We present a neural approach called IRNet for complex and cross-domain Text-to-SQL. IRNet aims to address two challenges: 1) the mismatch between intents expressed in natural language (NL) and the implementation details in SQL; 2) the challenge in predicting columns caused by the large number of out-of-domain words. In...
1506.06668
Yoichi Ochiai Prof.
Yoichi Ochiai, Kota Kumagai, Takayuki Hoshi, Jun Rekimoto, Satoshi Hasegawa, and Yoshio Hayasaki
Fairy Lights in Femtoseconds: Aerial and Volumetric Graphics Rendered by Focused Femtosecond Laser Combined with Computational Holographic Fields
null
null
null
null
cs.GR cs.HC physics.optics
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a method of rendering aerial and volumetric graphics using femtosecond lasers. A high-intensity laser excites a physical matter to emit light at an arbitrary 3D position. Popular applications can then be explored especially since plasma induced by a femtosecond laser is safer than that generated by a nanos...
[ { "created": "Mon, 22 Jun 2015 16:20:34 GMT", "version": "v1" } ]
2015-06-23
[ [ "Ochiai", "Yoichi", "" ], [ "Kumagai", "Kota", "" ], [ "Hoshi", "Takayuki", "" ], [ "Rekimoto", "Jun", "" ], [ "Hasegawa", "Satoshi", "" ], [ "Hayasaki", "Yoshio", "" ] ]
We present a method of rendering aerial and volumetric graphics using femtosecond lasers. A high-intensity laser excites a physical matter to emit light at an arbitrary 3D position. Popular applications can then be explored especially since plasma induced by a femtosecond laser is safer than that generated by a nanosec...
1711.05091
Pawe{\l} Rz\k{a}\.zewski
Micha{\l} D\k{e}bski, Zbigniew Lonc, Pawe{\l} Rz\k{a}\.zewski
Sequences of radius $k$ for complete bipartite graphs
null
Discrete Applied Mathematics 225, pp. 51--63. 2017
10.1016/j.dam.2017.03.017
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A \emph{$k$-radius sequence} for a graph $G$ is a sequence of vertices of $G$ (typically with repetitions) such that for every edge $uv$ of $G$ vertices $u$ and $v$ appear at least once within distance $k$ in the sequence. The length of a shortest $k$-radius sequence for $G$ is denoted by $f_k(G)$. We give an asympto...
[ { "created": "Tue, 14 Nov 2017 14:09:59 GMT", "version": "v1" } ]
2017-11-15
[ [ "Dębski", "Michał", "" ], [ "Lonc", "Zbigniew", "" ], [ "Rzążewski", "Paweł", "" ] ]
A \emph{$k$-radius sequence} for a graph $G$ is a sequence of vertices of $G$ (typically with repetitions) such that for every edge $uv$ of $G$ vertices $u$ and $v$ appear at least once within distance $k$ in the sequence. The length of a shortest $k$-radius sequence for $G$ is denoted by $f_k(G)$. We give an asymptoti...
1312.7118
Jantawan Bangsuk
Bangsuk Jantawan and Cheng-Fa Tsai
The Development of Educational Quality Administration: a Case of Technical College in Southern Thailand
null
null
null
null
cs.CY
http://creativecommons.org/licenses/publicdomain/
The purpose of this research were: to survey the needs of using the information system for educational quality administration; to develop Information System for Educational quality Administration (ISEs) in accordance with quality assessment standard; to study the qualification of ISEs; and to study satisfaction level...
[ { "created": "Thu, 26 Dec 2013 15:13:27 GMT", "version": "v1" } ]
2013-12-30
[ [ "Jantawan", "Bangsuk", "" ], [ "Tsai", "Cheng-Fa", "" ] ]
The purpose of this research were: to survey the needs of using the information system for educational quality administration; to develop Information System for Educational quality Administration (ISEs) in accordance with quality assessment standard; to study the qualification of ISEs; and to study satisfaction level o...
2311.05665
Mrutyunjaya Panda
Mrutyunjaya Panda, Soumya Ranjan Mahanta
Explainable artificial intelligence for Healthcare applications using Random Forest Classifier with LIME and SHAP
Chapter-6: Accepted Book Chapter in: Transparent, Interpretable and Explainable AI Systems, BK Tripathy & Hari Seetha (Editors), CRC Press, May 2023
null
null
null
cs.LG cs.AI cs.CY
http://creativecommons.org/licenses/by/4.0/
With the advances in computationally efficient artificial Intelligence (AI) techniques and their numerous applications in our everyday life, there is a pressing need to understand the computational details hidden in black box AI techniques such as most popular machine learning and deep learning techniques; through mo...
[ { "created": "Thu, 9 Nov 2023 11:43:10 GMT", "version": "v1" } ]
2023-11-13
[ [ "Panda", "Mrutyunjaya", "" ], [ "Mahanta", "Soumya Ranjan", "" ] ]
With the advances in computationally efficient artificial Intelligence (AI) techniques and their numerous applications in our everyday life, there is a pressing need to understand the computational details hidden in black box AI techniques such as most popular machine learning and deep learning techniques; through more...
1608.03037
Viorela Ila Dr.
Viorela Ila, Lukas Polok, Marek Solony and Pavel Svoboda
Highly Efficient Compact Pose SLAM with SLAM++
21 pages, 10 figures, 4 tables
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Maximum likelihood estimation (MLE) is a well-known estimation method used in many robotic and computer vision applications. Under Gaussian assumption, the MLE converts to a nonlinear least squares (NLS) problem. Efficient solutions to NLS exist and they are based on iteratively solving sparse linear systems until co...
[ { "created": "Wed, 10 Aug 2016 04:13:49 GMT", "version": "v1" } ]
2016-08-11
[ [ "Ila", "Viorela", "" ], [ "Polok", "Lukas", "" ], [ "Solony", "Marek", "" ], [ "Svoboda", "Pavel", "" ] ]
Maximum likelihood estimation (MLE) is a well-known estimation method used in many robotic and computer vision applications. Under Gaussian assumption, the MLE converts to a nonlinear least squares (NLS) problem. Efficient solutions to NLS exist and they are based on iteratively solving sparse linear systems until conv...
2208.11836
Mingqi Shao
Mingqi Shao, Chongkun Xia, Dongxu Duan, Xueqian Wang
Polarimetric Inverse Rendering for Transparent Shapes Reconstruction
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we propose a novel method for the detailed reconstruction of transparent objects by exploiting polarimetric cues. Most of the existing methods usually lack sufficient constraints and suffer from the over-smooth problem. Hence, we introduce polarization information as a complementary cue. We implicitly r...
[ { "created": "Thu, 25 Aug 2022 02:52:31 GMT", "version": "v1" } ]
2022-08-26
[ [ "Shao", "Mingqi", "" ], [ "Xia", "Chongkun", "" ], [ "Duan", "Dongxu", "" ], [ "Wang", "Xueqian", "" ] ]
In this work, we propose a novel method for the detailed reconstruction of transparent objects by exploiting polarimetric cues. Most of the existing methods usually lack sufficient constraints and suffer from the over-smooth problem. Hence, we introduce polarization information as a complementary cue. We implicitly rep...
2406.06602
Run-Xuan Tang
Run-Xuan Tang
Modeling of New Energy Vehicles' Impact on Urban Ecology Focusing on Behavior
13 pages
null
null
null
cs.LG cs.SY eess.SY stat.AP
http://creativecommons.org/licenses/by-nc-nd/4.0/
The surging demand for new energy vehicles is driven by the imperative to conserve energy, reduce emissions, and enhance the ecological ambiance. By conducting behavioral analysis and mining usage patterns of new energy vehicles, particular patterns can be identified. For instance, overloading the battery, operating ...
[ { "created": "Thu, 6 Jun 2024 14:03:52 GMT", "version": "v1" } ]
2024-06-18
[ [ "Tang", "Run-Xuan", "" ] ]
The surging demand for new energy vehicles is driven by the imperative to conserve energy, reduce emissions, and enhance the ecological ambiance. By conducting behavioral analysis and mining usage patterns of new energy vehicles, particular patterns can be identified. For instance, overloading the battery, operating wi...
1609.00017
Gordon Christie
Gordon Christie, Adam Shoemaker, Kevin Kochersberger, Pratap Tokekar, Lance McLean, Alexander Leonessa
Radiation Search Operations using Scene Understanding with Autonomous UAV and UGV
null
null
null
null
cs.RO cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomously searching for hazardous radiation sources requires the ability of the aerial and ground systems to understand the scene they are scouting. In this paper, we present systems, algorithms, and experiments to perform radiation search using unmanned aerial vehicles (UAV) and unmanned ground vehicles (UGV) by ...
[ { "created": "Wed, 31 Aug 2016 20:00:46 GMT", "version": "v1" } ]
2016-09-02
[ [ "Christie", "Gordon", "" ], [ "Shoemaker", "Adam", "" ], [ "Kochersberger", "Kevin", "" ], [ "Tokekar", "Pratap", "" ], [ "McLean", "Lance", "" ], [ "Leonessa", "Alexander", "" ] ]
Autonomously searching for hazardous radiation sources requires the ability of the aerial and ground systems to understand the scene they are scouting. In this paper, we present systems, algorithms, and experiments to perform radiation search using unmanned aerial vehicles (UAV) and unmanned ground vehicles (UGV) by em...
2312.15425
Shankhanil Mitra
Shankhanil Mitra and Rajiv Soundararajan
Knowledge Guided Semi-Supervised Learning for Quality Assessment of User Generated Videos
Accepted to 38th AAAI conference on AI (AAAI 24)
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Perceptual quality assessment of user generated content (UGC) videos is challenging due to the requirement of large scale human annotated videos for training. In this work, we address this challenge by first designing a self-supervised Spatio-Temporal Visual Quality Representation Learning (ST-VQRL) framework to gene...
[ { "created": "Sun, 24 Dec 2023 07:32:03 GMT", "version": "v1" } ]
2023-12-27
[ [ "Mitra", "Shankhanil", "" ], [ "Soundararajan", "Rajiv", "" ] ]
Perceptual quality assessment of user generated content (UGC) videos is challenging due to the requirement of large scale human annotated videos for training. In this work, we address this challenge by first designing a self-supervised Spatio-Temporal Visual Quality Representation Learning (ST-VQRL) framework to genera...
2311.00947
Hongyang Du
Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Ping Zhang, Shuguang Cui, Xuemin Shen, Shiwen Mao, Zhu Han, Abbas Jamalipour, H. Vincent Poor, and Dong In Kim
The Age of Generative AI and AI-Generated Everything
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
Generative AI (GAI) has emerged as a significant advancement in artificial intelligence, renowned for its language and image generation capabilities. This paper presents ``AI-Generated Everything'' (AIGX), a concept that extends GAI beyond mere content creation to real-time adaptation and control across diverse techn...
[ { "created": "Thu, 2 Nov 2023 02:28:40 GMT", "version": "v1" } ]
2023-11-03
[ [ "Du", "Hongyang", "" ], [ "Niyato", "Dusit", "" ], [ "Kang", "Jiawen", "" ], [ "Xiong", "Zehui", "" ], [ "Zhang", "Ping", "" ], [ "Cui", "Shuguang", "" ], [ "Shen", "Xuemin", "" ], [ "Mao", "Shi...
Generative AI (GAI) has emerged as a significant advancement in artificial intelligence, renowned for its language and image generation capabilities. This paper presents ``AI-Generated Everything'' (AIGX), a concept that extends GAI beyond mere content creation to real-time adaptation and control across diverse technol...
1404.0605
John Fearnley
John Fearnley and Rahul Savani
The Complexity of the Simplex Method
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The simplex method is a well-studied and widely-used pivoting method for solving linear programs. When Dantzig originally formulated the simplex method, he gave a natural pivot rule that pivots into the basis a variable with the most violated reduced cost. In their seminal work, Klee and Minty showed that this pivot ...
[ { "created": "Wed, 2 Apr 2014 16:33:31 GMT", "version": "v1" }, { "created": "Thu, 17 Apr 2014 14:26:37 GMT", "version": "v2" } ]
2014-04-18
[ [ "Fearnley", "John", "" ], [ "Savani", "Rahul", "" ] ]
The simplex method is a well-studied and widely-used pivoting method for solving linear programs. When Dantzig originally formulated the simplex method, he gave a natural pivot rule that pivots into the basis a variable with the most violated reduced cost. In their seminal work, Klee and Minty showed that this pivot ru...
2110.06015
Chiara Boldrini
Kilian Ollivier, Chiara Boldrini, Andrea Passarella, Marco Conti
Structural invariants in individuals language use: the "ego network" of words
This work was partially funded by the following projects. European Union's Horizon 2020 research and innovation programme: SoBigData++ (No 871042), HumaneAI-Net (No 952026), MARVEL (No 957337). Italian PON-MISE program: OK-INSAID project (No ARS01 00917)
In: Aref S. et al. (eds) Social Informatics. SocInfo 2020. Lecture Notes in Computer Science, vol 12467. Springer, Cham
10.1007/978-3-030-60975-7_20
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The cognitive constraints that humans exhibit in their social interactions have been extensively studied by anthropologists, who have highlighted their regularities across different types of social networks. We postulate that similar regularities can be found in other cognitive processes, such as those involving lang...
[ { "created": "Tue, 12 Oct 2021 13:59:08 GMT", "version": "v1" } ]
2021-10-13
[ [ "Ollivier", "Kilian", "" ], [ "Boldrini", "Chiara", "" ], [ "Passarella", "Andrea", "" ], [ "Conti", "Marco", "" ] ]
The cognitive constraints that humans exhibit in their social interactions have been extensively studied by anthropologists, who have highlighted their regularities across different types of social networks. We postulate that similar regularities can be found in other cognitive processes, such as those involving langua...
1508.03892
EPTCS
Dipak L. Chaudhari, Om Damani
Building an IDE for the Calculational Derivation of Imperative Programs
In Proceedings F-IDE 2015, arXiv:1508.03388
EPTCS 187, 2015, pp. 1-13
10.4204/EPTCS.187.1
null
cs.PL cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we describe an IDE called CAPS (Calculational Assistant for Programming from Specifications) for the interactive, calculational derivation of imperative programs. In building CAPS, our aim has been to make the IDE accessible to non-experts while retaining the overall flavor of the pen-and-paper calcula...
[ { "created": "Mon, 17 Aug 2015 01:36:36 GMT", "version": "v1" } ]
2015-08-20
[ [ "Chaudhari", "Dipak L.", "" ], [ "Damani", "Om", "" ] ]
In this paper, we describe an IDE called CAPS (Calculational Assistant for Programming from Specifications) for the interactive, calculational derivation of imperative programs. In building CAPS, our aim has been to make the IDE accessible to non-experts while retaining the overall flavor of the pen-and-paper calculati...
2402.17243
Pavel Petrovi\v{c}
Pavel Petrovi\v{c}, Fedir Agarshev
Spike up Prime Interest in Science and Technology through Constructionist Games
This work was co-funded by the Horizon-Widera-2021 European Twinning project TERAIS G.A. n. 101079338 Open Access Data discussed in the article is available at https://robotika.sk/spike
Proceedings of EDULEARN23 Conference 3rd-5th July 2023, Palma, Mallorca, Spain, pp. 5562-5570, ISBN: 978-84-09-52151-7
10.21125/edulearn.2023.1460
null
cs.RO cs.HC
http://creativecommons.org/licenses/by/4.0/
Robotics sets have been successfully used in elementary and secondary schools in conformance with the 'learning through play' philosophy fostered by LEGO Education, while utilizing the Constructionism didactic approach. Learners discover and acquire knowledge through first-hand tangible experiences, building their ow...
[ { "created": "Tue, 27 Feb 2024 06:25:00 GMT", "version": "v1" } ]
2024-02-28
[ [ "Petrovič", "Pavel", "" ], [ "Agarshev", "Fedir", "" ] ]
Robotics sets have been successfully used in elementary and secondary schools in conformance with the 'learning through play' philosophy fostered by LEGO Education, while utilizing the Constructionism didactic approach. Learners discover and acquire knowledge through first-hand tangible experiences, building their own ...
2307.03610
Xiao Liang
Kareem A. Eltouny, Wansong Liu, Sibo Tian, Minghui Zheng, and Xiao Liang
DE-TGN: Uncertainty-Aware Human Motion Forecasting using Deep Ensembles
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ensuring the safety of human workers in a collaborative environment with robots is of utmost importance. Although accurate pose prediction models can help prevent collisions between human workers and robots, they are still susceptible to critical errors. In this study, we propose a novel approach called deep ensemble...
[ { "created": "Fri, 7 Jul 2023 14:05:35 GMT", "version": "v1" } ]
2023-07-10
[ [ "Eltouny", "Kareem A.", "" ], [ "Liu", "Wansong", "" ], [ "Tian", "Sibo", "" ], [ "Zheng", "Minghui", "" ], [ "Liang", "Xiao", "" ] ]
Ensuring the safety of human workers in a collaborative environment with robots is of utmost importance. Although accurate pose prediction models can help prevent collisions between human workers and robots, they are still susceptible to critical errors. In this study, we propose a novel approach called deep ensembles ...
1506.02026
Dor Shaviv
Dor Shaviv, Ayfer Ozgur, Haim Permuter
Can Feedback Increase the Capacity of the Energy Harvesting Channel?
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate if feedback can increase the capacity of an energy harvesting communication channel where a transmitter powered by an exogenous energy arrival process and equipped with a finite battery communicates to a receiver over a memoryless channel. For a simple special case where the energy arrival process is d...
[ { "created": "Fri, 5 Jun 2015 19:57:50 GMT", "version": "v1" } ]
2015-06-08
[ [ "Shaviv", "Dor", "" ], [ "Ozgur", "Ayfer", "" ], [ "Permuter", "Haim", "" ] ]
We investigate if feedback can increase the capacity of an energy harvesting communication channel where a transmitter powered by an exogenous energy arrival process and equipped with a finite battery communicates to a receiver over a memoryless channel. For a simple special case where the energy arrival process is det...
1201.1671
Taufik Abrao
D\'ecio L. Gazzoni Filho, Taufik Abr\~ao, Marcelo C. Tosin, Francisco Granziera Jr
Error-Correcting Codes for Reliable Communications in Microgravity Platforms
13 pages, 3 figures, paper accepted to be published in International Journal of Satellite Communications Policy and Management (IJSCPM) ISSN (Online): 1742-7576 - ISSN (Print): 1742-7568
null
null
null
cs.IT cs.SY math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The PAANDA experiment was conceived to characterize the acceleration ambient of a rocket launched microgravity platform, specially the microgravity phase. The recorded data was transmitted to ground stations, leading to loss of telemetry information sent during the reentry period. Traditionally, an error-correcting c...
[ { "created": "Mon, 9 Jan 2012 00:28:23 GMT", "version": "v1" } ]
2015-03-20
[ [ "Filho", "Décio L. Gazzoni", "" ], [ "Abrão", "Taufik", "" ], [ "Tosin", "Marcelo C.", "" ], [ "Granziera", "Francisco", "Jr" ] ]
The PAANDA experiment was conceived to characterize the acceleration ambient of a rocket launched microgravity platform, specially the microgravity phase. The recorded data was transmitted to ground stations, leading to loss of telemetry information sent during the reentry period. Traditionally, an error-correcting cod...
2307.11349
Sourav Sanyal
Sourav Sanyal, Rohan Kumar Manna, and Kaushik Roy
EV-Planner: Energy-Efficient Robot Navigation via Event-Based Physics-Guided Neuromorphic Planner
accepted for publication at IEEE Robotics and Automation Letters
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vision-based object tracking is an essential precursor to performing autonomous aerial navigation in order to avoid obstacles. Biologically inspired neuromorphic event cameras are emerging as a powerful alternative to frame-based cameras, due to their ability to asynchronously detect varying intensities (even in poor...
[ { "created": "Fri, 21 Jul 2023 04:50:59 GMT", "version": "v1" }, { "created": "Fri, 10 Nov 2023 02:11:13 GMT", "version": "v2" }, { "created": "Tue, 26 Dec 2023 02:29:47 GMT", "version": "v3" }, { "created": "Sat, 30 Dec 2023 05:30:44 GMT", "version": "v4" }, { "c...
2024-01-04
[ [ "Sanyal", "Sourav", "" ], [ "Manna", "Rohan Kumar", "" ], [ "Roy", "Kaushik", "" ] ]
Vision-based object tracking is an essential precursor to performing autonomous aerial navigation in order to avoid obstacles. Biologically inspired neuromorphic event cameras are emerging as a powerful alternative to frame-based cameras, due to their ability to asynchronously detect varying intensities (even in poor l...
2306.11763
Alexander Van Meekeren
Alexander van Meekeren, Maya Aghaei, Klaas Dijkstra
Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep object detection models have achieved notable successes in recent years, but one major obstacle remains: the requirement for a large amount of training data. Obtaining such data is a tedious process and is mainly time consuming, leading to the exploration of new research avenues like synthetic data generation te...
[ { "created": "Tue, 20 Jun 2023 09:46:01 GMT", "version": "v1" } ]
2023-06-22
[ [ "van Meekeren", "Alexander", "" ], [ "Aghaei", "Maya", "" ], [ "Dijkstra", "Klaas", "" ] ]
Deep object detection models have achieved notable successes in recent years, but one major obstacle remains: the requirement for a large amount of training data. Obtaining such data is a tedious process and is mainly time consuming, leading to the exploration of new research avenues like synthetic data generation tech...
2404.10141
Aashish Anantha Ramakrishnan
Aashish Anantha Ramakrishnan, Sharon X. Huang and Dongwon Lee
ANCHOR: LLM-driven News Subject Conditioning for Text-to-Image Synthesis
23 pages, 9 figures
null
null
null
cs.CV cs.CL cs.MM
http://creativecommons.org/licenses/by-nc-sa/4.0/
Text-to-Image (T2I) Synthesis has made tremendous strides in enhancing synthesized image quality, but current datasets evaluate model performance only on descriptive, instruction-based prompts. Real-world news image captions take a more pragmatic approach, providing high-level situational and Named-Entity (NE) inform...
[ { "created": "Mon, 15 Apr 2024 21:19:10 GMT", "version": "v1" } ]
2024-04-17
[ [ "Ramakrishnan", "Aashish Anantha", "" ], [ "Huang", "Sharon X.", "" ], [ "Lee", "Dongwon", "" ] ]
Text-to-Image (T2I) Synthesis has made tremendous strides in enhancing synthesized image quality, but current datasets evaluate model performance only on descriptive, instruction-based prompts. Real-world news image captions take a more pragmatic approach, providing high-level situational and Named-Entity (NE) informat...
2302.00152
Sudip Mittal
Subash Neupane, Ivan A. Fernandez, Wilson Patterson, Sudip Mittal, Milan Parmar, Shahram Rahimi
TwinExplainer: Explaining Predictions of an Automotive Digital Twin
null
null
null
null
cs.LG cs.AI cs.CY cs.NE
http://creativecommons.org/licenses/by/4.0/
Vehicles are complex Cyber Physical Systems (CPS) that operate in a variety of environments, and the likelihood of failure of one or more subsystems, such as the engine, transmission, brakes, and fuel, can result in unscheduled downtime and incur high maintenance or repair costs. In order to prevent these issues, it ...
[ { "created": "Wed, 1 Feb 2023 00:11:18 GMT", "version": "v1" } ]
2023-02-02
[ [ "Neupane", "Subash", "" ], [ "Fernandez", "Ivan A.", "" ], [ "Patterson", "Wilson", "" ], [ "Mittal", "Sudip", "" ], [ "Parmar", "Milan", "" ], [ "Rahimi", "Shahram", "" ] ]
Vehicles are complex Cyber Physical Systems (CPS) that operate in a variety of environments, and the likelihood of failure of one or more subsystems, such as the engine, transmission, brakes, and fuel, can result in unscheduled downtime and incur high maintenance or repair costs. In order to prevent these issues, it is...
1806.05749
Tanner Fiez
Lillian J. Ratliff and Tanner Fiez
Adaptive Incentive Design
null
null
null
null
cs.GT cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We apply control theoretic and optimization techniques to adaptively design incentives. In particular, we consider the problem of a planner with an objective that depends on data from strategic decision makers. The planner does not know the process by which the strategic agents make decisions. Under the assumption th...
[ { "created": "Thu, 14 Jun 2018 21:48:16 GMT", "version": "v1" } ]
2018-06-18
[ [ "Ratliff", "Lillian J.", "" ], [ "Fiez", "Tanner", "" ] ]
We apply control theoretic and optimization techniques to adaptively design incentives. In particular, we consider the problem of a planner with an objective that depends on data from strategic decision makers. The planner does not know the process by which the strategic agents make decisions. Under the assumption that...
1901.02949
Yea Seul Kim
Yea-Seul Kim, Logan A Walls, Peter Krafft, Jessica Hullman
A Bayesian Cognition Approach to Improve Data Visualization
null
null
10.1145/3290605.3300912
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
People naturally bring their prior beliefs to bear on how they interpret the new information, yet few formal models exist for accounting for the influence of users' prior beliefs in interactions with data presentations like visualizations. We demonstrate a Bayesian cognitive model for understanding how people interpr...
[ { "created": "Wed, 9 Jan 2019 22:08:50 GMT", "version": "v1" } ]
2019-01-11
[ [ "Kim", "Yea-Seul", "" ], [ "Walls", "Logan A", "" ], [ "Krafft", "Peter", "" ], [ "Hullman", "Jessica", "" ] ]
People naturally bring their prior beliefs to bear on how they interpret the new information, yet few formal models exist for accounting for the influence of users' prior beliefs in interactions with data presentations like visualizations. We demonstrate a Bayesian cognitive model for understanding how people interpret...
2406.16203
Hanzi Xu
Hanzi Xu, Renze Lou, Jiangshu Du, Vahid Mahzoon, Elmira Talebianaraki, Zhuoan Zhou, Elizabeth Garrison, Slobodan Vucetic, Wenpeng Yin
LLMs' Classification Performance is Overclaimed
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In many classification tasks designed for AI or human to solve, gold labels are typically included within the label space by default, often posed as "which of the following is correct?" This standard setup has traditionally highlighted the strong performance of advanced AI, particularly top-performing Large Language ...
[ { "created": "Sun, 23 Jun 2024 19:49:10 GMT", "version": "v1" }, { "created": "Sat, 29 Jun 2024 11:45:17 GMT", "version": "v2" }, { "created": "Wed, 3 Jul 2024 13:18:50 GMT", "version": "v3" } ]
2024-07-04
[ [ "Xu", "Hanzi", "" ], [ "Lou", "Renze", "" ], [ "Du", "Jiangshu", "" ], [ "Mahzoon", "Vahid", "" ], [ "Talebianaraki", "Elmira", "" ], [ "Zhou", "Zhuoan", "" ], [ "Garrison", "Elizabeth", "" ], [ "Vu...
In many classification tasks designed for AI or human to solve, gold labels are typically included within the label space by default, often posed as "which of the following is correct?" This standard setup has traditionally highlighted the strong performance of advanced AI, particularly top-performing Large Language Mo...
1712.02547
Yunlong Wang
Yunlong Wang, Lingdan Wu, Jan-Philipp Lange, Ahmed Fadhil, Harald Reiterer
Persuasive Technology in Reducing Prolonged Sedentary Behavior at Work: A Systematic Review
null
Smart Health 7-8 (2018) 19-30
10.1016/j.smhl.2018.05.002
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Prolonged sedentary behavior is prevalent among office workers and has been found to be detrimental to health. Preventing and reducing prolonged sedentary behavior require interventions, and persuasive technology is expected to make a contribution in this domain. In this paper, we use the framework of persuasive syst...
[ { "created": "Thu, 7 Dec 2017 09:29:38 GMT", "version": "v1" }, { "created": "Wed, 23 May 2018 17:13:27 GMT", "version": "v2" }, { "created": "Thu, 11 Oct 2018 19:19:07 GMT", "version": "v3" } ]
2018-10-15
[ [ "Wang", "Yunlong", "" ], [ "Wu", "Lingdan", "" ], [ "Lange", "Jan-Philipp", "" ], [ "Fadhil", "Ahmed", "" ], [ "Reiterer", "Harald", "" ] ]
Prolonged sedentary behavior is prevalent among office workers and has been found to be detrimental to health. Preventing and reducing prolonged sedentary behavior require interventions, and persuasive technology is expected to make a contribution in this domain. In this paper, we use the framework of persuasive system...
1304.6450
Ton Kloks
Wing-Kai Hon and Ton Kloks and Hsiang Hsuan Liu and Sheung-Hung Poon and Yue-Li Wang
On independence domination
null
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Let G be a graph. The independence-domination number is the maximum over all independent sets I in G of the minimal number of vertices needed to dominate I. In this paper we investigate the computational complexity of independence domination for graphs in several graph classes related to cographs. We present an exact...
[ { "created": "Wed, 24 Apr 2013 00:21:35 GMT", "version": "v1" } ]
2013-04-25
[ [ "Hon", "Wing-Kai", "" ], [ "Kloks", "Ton", "" ], [ "Liu", "Hsiang Hsuan", "" ], [ "Poon", "Sheung-Hung", "" ], [ "Wang", "Yue-Li", "" ] ]
Let G be a graph. The independence-domination number is the maximum over all independent sets I in G of the minimal number of vertices needed to dominate I. In this paper we investigate the computational complexity of independence domination for graphs in several graph classes related to cographs. We present an exact e...
1306.1955
Alexey Markov
Alexander Barabanov, Maxim Grishin and Alexey Markov
The Formal Metabasis For Conformity Assessment of Information Security Software and Hardware
Keywords: information security, information protection, information security tools, certification, conformity assessment, security testing
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An approach to the development of security test procedures for information security controls is presented. The recommendations for optimizing the test procedure are obtained
[ { "created": "Sat, 8 Jun 2013 20:25:58 GMT", "version": "v1" } ]
2013-06-11
[ [ "Barabanov", "Alexander", "" ], [ "Grishin", "Maxim", "" ], [ "Markov", "Alexey", "" ] ]
An approach to the development of security test procedures for information security controls is presented. The recommendations for optimizing the test procedure are obtained
2010.12662
Yunjie Zhang
Yunjie Zhang, Fei Tao, Xudong Liu, Runze Su, Xiaorong Mei, Weicong Ding, Zhichen Zhao, Lei Yuan, Ji Liu
Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach
Submitting to ICASSP 2021
null
null
null
cs.MM cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the rising of short video apps, such as TikTok, Snapchat and Kwai, advertisement in short-term user-generated videos (UGVs) has become a trending form of advertising. Prediction of user behavior without specific user profile is required by advertisers, as they expect to acquire advertisement performance in advan...
[ { "created": "Fri, 23 Oct 2020 20:52:24 GMT", "version": "v1" } ]
2020-10-27
[ [ "Zhang", "Yunjie", "" ], [ "Tao", "Fei", "" ], [ "Liu", "Xudong", "" ], [ "Su", "Runze", "" ], [ "Mei", "Xiaorong", "" ], [ "Ding", "Weicong", "" ], [ "Zhao", "Zhichen", "" ], [ "Yuan", "Lei", ...
With the rising of short video apps, such as TikTok, Snapchat and Kwai, advertisement in short-term user-generated videos (UGVs) has become a trending form of advertising. Prediction of user behavior without specific user profile is required by advertisers, as they expect to acquire advertisement performance in advance...
2311.07066
Meizhi Zhong
Meizhi Zhong, Lemao Liu, Kehai Chen, Mingming Yang, Min Zhang
Context Consistency between Training and Testing in Simultaneous Machine Translation
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Simultaneous Machine Translation (SiMT) aims to yield a real-time partial translation with a monotonically growing the source-side context. However, there is a counterintuitive phenomenon about the context usage between training and testing: e.g., the wait-k testing model consistently trained with wait-k is much wors...
[ { "created": "Mon, 13 Nov 2023 04:11:32 GMT", "version": "v1" } ]
2023-11-14
[ [ "Zhong", "Meizhi", "" ], [ "Liu", "Lemao", "" ], [ "Chen", "Kehai", "" ], [ "Yang", "Mingming", "" ], [ "Zhang", "Min", "" ] ]
Simultaneous Machine Translation (SiMT) aims to yield a real-time partial translation with a monotonically growing the source-side context. However, there is a counterintuitive phenomenon about the context usage between training and testing: e.g., the wait-k testing model consistently trained with wait-k is much worse ...
2001.01331
Andrew Lensen
Andrew Lensen, Mengjie Zhang, Bing Xue
Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality
31 pages, pre-print accepted by Genetic Programming and Evolvable Machines journal
null
10.1007/s10710-020-09375-4
null
cs.NE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Manifold learning techniques have become increasingly valuable as data continues to grow in size. By discovering a lower-dimensional representation (embedding) of the structure of a dataset, manifold learning algorithms can substantially reduce the dimensionality of a dataset while preserving as much information as p...
[ { "created": "Sun, 5 Jan 2020 23:24:33 GMT", "version": "v1" } ]
2020-01-31
[ [ "Lensen", "Andrew", "" ], [ "Zhang", "Mengjie", "" ], [ "Xue", "Bing", "" ] ]
Manifold learning techniques have become increasingly valuable as data continues to grow in size. By discovering a lower-dimensional representation (embedding) of the structure of a dataset, manifold learning algorithms can substantially reduce the dimensionality of a dataset while preserving as much information as pos...
2212.09335
Chen Ju
Chen Ju, Kunhao Zheng, Jinxiang Liu, Peisen Zhao, Ya Zhang, Jianlong Chang, Yanfeng Wang, Qi Tian
Distilling Vision-Language Pre-training to Collaborate with Weakly-Supervised Temporal Action Localization
The first two authors share the same contribution
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Weakly-supervised temporal action localization (WTAL) learns to detect and classify action instances with only category labels. Most methods widely adopt the off-the-shelf Classification-Based Pre-training (CBP) to generate video features for action localization. However, the different optimization objectives between...
[ { "created": "Mon, 19 Dec 2022 10:02:50 GMT", "version": "v1" } ]
2022-12-20
[ [ "Ju", "Chen", "" ], [ "Zheng", "Kunhao", "" ], [ "Liu", "Jinxiang", "" ], [ "Zhao", "Peisen", "" ], [ "Zhang", "Ya", "" ], [ "Chang", "Jianlong", "" ], [ "Wang", "Yanfeng", "" ], [ "Tian", "Qi",...
Weakly-supervised temporal action localization (WTAL) learns to detect and classify action instances with only category labels. Most methods widely adopt the off-the-shelf Classification-Based Pre-training (CBP) to generate video features for action localization. However, the different optimization objectives between c...
2102.11678
Matej Madeja
Matej Madeja, Jaroslav Porub\"an, Michaela Ba\v{c}\'ikov\'a, Mat\'u\v{s} Sul\'ir, J\'an Juh\'ar, Sergej Chodarev, Filip Gurb\'a\v{l}
Automating Test Case Identification in Java Open Source Projects on GitHub
30 pages, accepted in Computing and Informatics Journal - http://www.cai.sk, ISSN 2585-8807
Computing and Informatics 40 (2021) 575-605
10.31577/cai_2021_3_575
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Software testing is one of the very important Quality Assurance (QA) components. A lot of researchers deal with the testing process in terms of tester motivation and how tests should or should not be written. However, it is not known from the recommendations how the tests are written in real projects. In this paper, ...
[ { "created": "Tue, 23 Feb 2021 13:08:50 GMT", "version": "v1" }, { "created": "Fri, 30 Jul 2021 07:47:23 GMT", "version": "v2" } ]
2022-01-04
[ [ "Madeja", "Matej", "" ], [ "Porubän", "Jaroslav", "" ], [ "Bačíková", "Michaela", "" ], [ "Sulír", "Matúš", "" ], [ "Juhár", "Ján", "" ], [ "Chodarev", "Sergej", "" ], [ "Gurbáľ", "Filip", "" ] ]
Software testing is one of the very important Quality Assurance (QA) components. A lot of researchers deal with the testing process in terms of tester motivation and how tests should or should not be written. However, it is not known from the recommendations how the tests are written in real projects. In this paper, th...
2106.07385
Jennifer D'Souza
Jennifer D'Souza, S\"oren Auer and Ted Pedersen
SemEval-2021 Task 11: NLPContributionGraph -- Structuring Scholarly NLP Contributions for a Research Knowledge Graph
13 pages, 5 figures, 8 tables
Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), (pp. 364-376), ACL
10.18653/v1/2021.semeval-1.44
null
cs.CL cs.AI cs.DL cs.IR cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
There is currently a gap between the natural language expression of scholarly publications and their structured semantic content modeling to enable intelligent content search. With the volume of research growing exponentially every year, a search feature operating over semantically structured content is compelling. T...
[ { "created": "Thu, 10 Jun 2021 13:43:47 GMT", "version": "v1" }, { "created": "Tue, 6 Jul 2021 09:26:11 GMT", "version": "v2" }, { "created": "Fri, 15 Oct 2021 08:18:56 GMT", "version": "v3" } ]
2021-10-18
[ [ "D'Souza", "Jennifer", "" ], [ "Auer", "Sören", "" ], [ "Pedersen", "Ted", "" ] ]
There is currently a gap between the natural language expression of scholarly publications and their structured semantic content modeling to enable intelligent content search. With the volume of research growing exponentially every year, a search feature operating over semantically structured content is compelling. The...
1806.10748
Ayushi Sinha
Ayushi Sinha, Masaru Ishii, Russell H. Taylor, Gregory D. Hager and Austin Reiter
Towards automatic initialization of registration algorithms using simulated endoscopy images
4 pages, 4 figures
null
null
null
cs.CV cs.GR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Registering images from different modalities is an active area of research in computer aided medical interventions. Several registration algorithms have been developed, many of which achieve high accuracy. However, these results are dependent on many factors, including the quality of the extracted features or segment...
[ { "created": "Thu, 28 Jun 2018 02:58:25 GMT", "version": "v1" } ]
2018-06-29
[ [ "Sinha", "Ayushi", "" ], [ "Ishii", "Masaru", "" ], [ "Taylor", "Russell H.", "" ], [ "Hager", "Gregory D.", "" ], [ "Reiter", "Austin", "" ] ]
Registering images from different modalities is an active area of research in computer aided medical interventions. Several registration algorithms have been developed, many of which achieve high accuracy. However, these results are dependent on many factors, including the quality of the extracted features or segmentat...
2005.10526
Satyajit Thakor
Hitika Tiwari and Satyajit Thakor
On Characterization of Entropic Vectors at the Boundary of Almost Entropic Cones
ITW'19 (c) 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to serv...
null
10.1109/ITW44776.2019.8989116
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The entropy region is a fundamental object in information theory. An outer bound for the entropy region is defined by a minimal set of Shannon-type inequalities called elemental inequalities also referred to as the Shannon region. This paper focuses on characterization of the entropic points at the boundary of the Sh...
[ { "created": "Thu, 21 May 2020 08:58:35 GMT", "version": "v1" } ]
2020-05-22
[ [ "Tiwari", "Hitika", "" ], [ "Thakor", "Satyajit", "" ] ]
The entropy region is a fundamental object in information theory. An outer bound for the entropy region is defined by a minimal set of Shannon-type inequalities called elemental inequalities also referred to as the Shannon region. This paper focuses on characterization of the entropic points at the boundary of the Shan...
2312.04180
Qian Xiong
Dandan Qiao, Huaxia Rui, and Qian Xiong
AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform
42 pages, 6 figures, 9 tables
null
null
null
cs.AI cs.CY econ.GN q-fin.EC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Artificial intelligence (AI) refers to the ability of machines or software to mimic or even surpass human intelligence in a given cognitive task. While humans learn by both induction and deduction, the success of current AI is rooted in induction, relying on its ability to detect statistical regularities in task inpu...
[ { "created": "Thu, 7 Dec 2023 10:06:34 GMT", "version": "v1" } ]
2023-12-08
[ [ "Qiao", "Dandan", "" ], [ "Rui", "Huaxia", "" ], [ "Xiong", "Qian", "" ] ]
Artificial intelligence (AI) refers to the ability of machines or software to mimic or even surpass human intelligence in a given cognitive task. While humans learn by both induction and deduction, the success of current AI is rooted in induction, relying on its ability to detect statistical regularities in task input ...
1605.00975
Pushpendra Singh
Pushpendra Singh
Breaking the Limits -- Redefining the Instantaneous Frequency
12 pages, 15 figures. arXiv admin note: text overlap with arXiv:1604.04992
Circuits, Systems, and Signal Processing, 1--22, November 2017
10.1007/s00034-017-0719-y
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Carson and Fry (1937) introduced the concept of variable frequency as a generalization of the constant frequency. The instantaneous frequency (IF) is the time derivative of the instantaneous phase and it is well-defined only when this derivative is positive. If this derivative is negative, the IF creates problem ...
[ { "created": "Sat, 9 Apr 2016 04:32:31 GMT", "version": "v1" }, { "created": "Tue, 10 May 2016 09:34:02 GMT", "version": "v2" }, { "created": "Mon, 5 Sep 2016 10:32:59 GMT", "version": "v3" } ]
2017-12-06
[ [ "Singh", "Pushpendra", "" ] ]
The Carson and Fry (1937) introduced the concept of variable frequency as a generalization of the constant frequency. The instantaneous frequency (IF) is the time derivative of the instantaneous phase and it is well-defined only when this derivative is positive. If this derivative is negative, the IF creates problem be...
2104.09823
Lotte Weedage
Lotte Weedage, Clara Stegehuis and Suzan Bayhan
Impact of Multi-connectivity on Channel Capacity and Outage Probability in Wireless 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
IEEE Transactions on Vehicular Technology 2023
10.1109/TVT.2023.3242358
null
cs.NI math.PR
http://creativecommons.org/licenses/by/4.0/
Multi-connectivity facilitates higher throughput, shorter delay, and lower outage probability for a user in a wireless network. Considering these promises, a rationale policy for a network operator would be to implement multi-connectivity for all of its users. In this paper, we investigate whether the promises of mul...
[ { "created": "Tue, 20 Apr 2021 08:20:18 GMT", "version": "v1" }, { "created": "Mon, 26 Apr 2021 11:29:54 GMT", "version": "v2" } ]
2023-03-03
[ [ "Weedage", "Lotte", "" ], [ "Stegehuis", "Clara", "" ], [ "Bayhan", "Suzan", "" ] ]
Multi-connectivity facilitates higher throughput, shorter delay, and lower outage probability for a user in a wireless network. Considering these promises, a rationale policy for a network operator would be to implement multi-connectivity for all of its users. In this paper, we investigate whether the promises of multi...
2002.07584
Alon Rashelbach
Alon Rashelbach, Ori Rottenstreich, Mark Silberstein
A Computational Approach to Packet Classification
To appear in SIGCOMM 2020
null
10.1145/3387514.3405886
null
cs.DC cs.LG cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-field packet classification is a crucial component in modern software-defined data center networks. To achieve high throughput and low latency, state-of-the-art algorithms strive to fit the rule lookup data structures into on-die caches; however, they do not scale well with the number of rules. We present a nov...
[ { "created": "Mon, 10 Feb 2020 13:47:02 GMT", "version": "v1" }, { "created": "Mon, 13 Jul 2020 06:18:41 GMT", "version": "v2" } ]
2020-07-14
[ [ "Rashelbach", "Alon", "" ], [ "Rottenstreich", "Ori", "" ], [ "Silberstein", "Mark", "" ] ]
Multi-field packet classification is a crucial component in modern software-defined data center networks. To achieve high throughput and low latency, state-of-the-art algorithms strive to fit the rule lookup data structures into on-die caches; however, they do not scale well with the number of rules. We present a novel...
2404.16553
Anil Goyal
Venkatesh C, Harshit Oberoi, Anil Goyal, Nikhil Sikka
RE-RecSys: An End-to-End system for recommending properties in Real-Estate domain
null
null
10.1145/3632410.3632487
null
cs.IR cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
We propose an end-to-end real-estate recommendation system, RE-RecSys, which has been productionized in real-world industry setting. We categorize any user into 4 categories based on available historical data: i) cold-start users; ii) short-term users; iii) long-term users; and iv) short-long term users. For cold-sta...
[ { "created": "Thu, 25 Apr 2024 12:09:17 GMT", "version": "v1" } ]
2024-04-26
[ [ "C", "Venkatesh", "" ], [ "Oberoi", "Harshit", "" ], [ "Goyal", "Anil", "" ], [ "Sikka", "Nikhil", "" ] ]
We propose an end-to-end real-estate recommendation system, RE-RecSys, which has been productionized in real-world industry setting. We categorize any user into 4 categories based on available historical data: i) cold-start users; ii) short-term users; iii) long-term users; and iv) short-long term users. For cold-start...
1805.10105
Simon Hegelich
Andree Thieltges, Orestis Papakyriakopoulos, Juan Carlos Medina Serrano, Simon Hegelich
Effects of Social Bots in the Iran-Debate on Twitter
null
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
2018 started with massive protests in Iran, bringing back the impressions of the so called "Arab Spring" and it's revolutionary impact for the Maghreb states, Syria and Egypt. Many reports and scientific examinations considered online social networks (OSN's) such as Twitter or Facebook to play a critical role in the ...
[ { "created": "Fri, 25 May 2018 12:33:14 GMT", "version": "v1" } ]
2018-05-28
[ [ "Thieltges", "Andree", "" ], [ "Papakyriakopoulos", "Orestis", "" ], [ "Serrano", "Juan Carlos Medina", "" ], [ "Hegelich", "Simon", "" ] ]
2018 started with massive protests in Iran, bringing back the impressions of the so called "Arab Spring" and it's revolutionary impact for the Maghreb states, Syria and Egypt. Many reports and scientific examinations considered online social networks (OSN's) such as Twitter or Facebook to play a critical role in the op...
2311.02971
David Salinas
David Salinas and Nick Erickson
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
We introduce TabRepo, a new dataset of tabular model evaluations and predictions. TabRepo contains the predictions and metrics of 1310 models evaluated on 200 classification and regression datasets. We illustrate the benefit of our dataset in multiple ways. First, we show that it allows to perform analysis such as co...
[ { "created": "Mon, 6 Nov 2023 09:17:18 GMT", "version": "v1" }, { "created": "Tue, 19 Mar 2024 13:08:59 GMT", "version": "v2" } ]
2024-03-20
[ [ "Salinas", "David", "" ], [ "Erickson", "Nick", "" ] ]
We introduce TabRepo, a new dataset of tabular model evaluations and predictions. TabRepo contains the predictions and metrics of 1310 models evaluated on 200 classification and regression datasets. We illustrate the benefit of our dataset in multiple ways. First, we show that it allows to perform analysis such as comp...
2112.06454
Namgil Kim
Namgil Kim and Barom Kang and Yeonok Cho
Split GCN: Effective Interactive Annotation for Segmentation of Disconnected Instance
11 pages
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Annotating object boundaries by humans demands high costs. Recently, polygon-based annotation methods with human interaction have shown successful performance. However, given the connected vertex topology, these methods exhibit difficulty predicting the disconnected components in an object. This paper introduces Spli...
[ { "created": "Mon, 13 Dec 2021 07:17:03 GMT", "version": "v1" } ]
2021-12-14
[ [ "Kim", "Namgil", "" ], [ "Kang", "Barom", "" ], [ "Cho", "Yeonok", "" ] ]
Annotating object boundaries by humans demands high costs. Recently, polygon-based annotation methods with human interaction have shown successful performance. However, given the connected vertex topology, these methods exhibit difficulty predicting the disconnected components in an object. This paper introduces Split-...
2205.06331
Ahmadreza Moradipari
Ahmadreza Moradipari, Mohammad Ghavamzadeh, and Mahnoosh Alizadeh
Collaborative Multi-agent Stochastic Linear Bandits
null
American Control Conference (ACC), 2022
null
null
cs.LG cs.MA
http://creativecommons.org/licenses/by/4.0/
We study a collaborative multi-agent stochastic linear bandit setting, where $N$ agents that form a network communicate locally to minimize their overall regret. In this setting, each agent has its own linear bandit problem (its own reward parameter) and the goal is to select the best global action w.r.t. the average...
[ { "created": "Thu, 12 May 2022 19:46:35 GMT", "version": "v1" } ]
2022-05-16
[ [ "Moradipari", "Ahmadreza", "" ], [ "Ghavamzadeh", "Mohammad", "" ], [ "Alizadeh", "Mahnoosh", "" ] ]
We study a collaborative multi-agent stochastic linear bandit setting, where $N$ agents that form a network communicate locally to minimize their overall regret. In this setting, each agent has its own linear bandit problem (its own reward parameter) and the goal is to select the best global action w.r.t. the average o...
2208.14699
Xingchao Liu
Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
Let us Build Bridges: Understanding and Extending Diffusion Generative Models
null
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diffusion-based generative models have achieved promising results recently, but raise an array of open questions in terms of conceptual understanding, theoretical analysis, algorithm improvement and extensions to discrete, structured, non-Euclidean domains. This work tries to re-exam the overall framework, in order t...
[ { "created": "Wed, 31 Aug 2022 08:58:10 GMT", "version": "v1" } ]
2022-09-01
[ [ "Liu", "Xingchao", "" ], [ "Wu", "Lemeng", "" ], [ "Ye", "Mao", "" ], [ "Liu", "Qiang", "" ] ]
Diffusion-based generative models have achieved promising results recently, but raise an array of open questions in terms of conceptual understanding, theoretical analysis, algorithm improvement and extensions to discrete, structured, non-Euclidean domains. This work tries to re-exam the overall framework, in order to ...
2201.12464
Claire Le Goues
Deborah S. Katz, Christopher S. Timperley, Claire Le Goues
Using Dynamic Binary Instrumentation to Detect Failures in Robotics Software
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Autonomous and Robotics Systems (ARSs) are widespread, complex, and increasingly coming into contact with the public. Many of these systems are safety-critical, and it is vital to detect software errors to protect against harm. We propose a family of novel techniques to detect unusual program executions and incorrect...
[ { "created": "Sat, 29 Jan 2022 01:00:23 GMT", "version": "v1" } ]
2022-02-01
[ [ "Katz", "Deborah S.", "" ], [ "Timperley", "Christopher S.", "" ], [ "Goues", "Claire Le", "" ] ]
Autonomous and Robotics Systems (ARSs) are widespread, complex, and increasingly coming into contact with the public. Many of these systems are safety-critical, and it is vital to detect software errors to protect against harm. We propose a family of novel techniques to detect unusual program executions and incorrect p...
2312.17215
Promit Panja
Promit Panja, Jesse B. Hoagg, Sabur Baidya
Control Barrier Function Based UAV Safety Controller in Autonomous Airborne Tracking and Following Systems
null
null
null
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Safe operations of UAVs are of paramount importance for various mission-critical and safety-critical UAV applications. In context of airborne target tracking and following, UAVs need to track a flying target avoiding collision and also closely follow its trajectory. The safety situation becomes critical and more comp...
[ { "created": "Thu, 28 Dec 2023 18:46:21 GMT", "version": "v1" } ]
2023-12-29
[ [ "Panja", "Promit", "" ], [ "Hoagg", "Jesse B.", "" ], [ "Baidya", "Sabur", "" ] ]
Safe operations of UAVs are of paramount importance for various mission-critical and safety-critical UAV applications. In context of airborne target tracking and following, UAVs need to track a flying target avoiding collision and also closely follow its trajectory. The safety situation becomes critical and more comple...
0905.0737
Ignacio Vega-Paez M en C
Ignacio Vega-Paez, Jose Angel Ortega, Georgina G. Pulido
REC language is a live on IBM1130 simulator, EL lenguaje REC esta vivo en el simulador de la IBM 1130
This work is archaeological reconstruction of REC/A language
null
null
IBP-TR2009-04
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
REC (Regular Expression Compiler) is a concise programming language development in mayor Mexican Universities at end of 60s which allows students to write programs without knowledge of the complicated syntax of languages like FORTRAN and ALGOL. The language is recursive and contains only four elements for control. Th...
[ { "created": "Wed, 6 May 2009 04:21:15 GMT", "version": "v1" } ]
2009-05-07
[ [ "Vega-Paez", "Ignacio", "" ], [ "Ortega", "Jose Angel", "" ], [ "Pulido", "Georgina G.", "" ] ]
REC (Regular Expression Compiler) is a concise programming language development in mayor Mexican Universities at end of 60s which allows students to write programs without knowledge of the complicated syntax of languages like FORTRAN and ALGOL. The language is recursive and contains only four elements for control. This...
2209.03748
Netanell Avisdris
Netanell Avisdris, Aviad Rabinowich, Daniel Fridkin, Ayala Zilberman, Sapir Lazar, Jacky Herzlich, Zeev Hananis, Daphna Link-Sourani, Liat Ben-Sira, Liran Hiersch, Dafna Ben Bashat, and Leo Joskowicz
Automatic fetal fat quantification from MRI
13 pages, 4 Figures, 3 Tables, Accepted to PIPPI/MICCAI 2022
null
10.1007/978-3-031-17117-8_3
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Normal fetal adipose tissue (AT) development is essential for perinatal well-being. AT, or simply fat, stores energy in the form of lipids. Malnourishment may result in excessive or depleted adiposity. Although previous studies showed a correlation between the amount of AT and perinatal outcome, prenatal assessment o...
[ { "created": "Thu, 8 Sep 2022 12:07:12 GMT", "version": "v1" } ]
2022-09-30
[ [ "Avisdris", "Netanell", "" ], [ "Rabinowich", "Aviad", "" ], [ "Fridkin", "Daniel", "" ], [ "Zilberman", "Ayala", "" ], [ "Lazar", "Sapir", "" ], [ "Herzlich", "Jacky", "" ], [ "Hananis", "Zeev", "" ], ...
Normal fetal adipose tissue (AT) development is essential for perinatal well-being. AT, or simply fat, stores energy in the form of lipids. Malnourishment may result in excessive or depleted adiposity. Although previous studies showed a correlation between the amount of AT and perinatal outcome, prenatal assessment of ...
2312.05584
Guocheng Feng
Guocheng Feng, Huaiyu Cai, Kaihao Chen, and Zhijian Li
A Hybrid Method of Sentiment Analysis and Machine Learning Algorithm for the U.S. Presidential Election Forecasting
6 pages, 7 tables, 3 figures, 2023 IEEE International Conference on Big Data
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
U.S. Presidential Election forecasting has been a research interest for several decades. Currently, election prediction consists of two main approaches: traditional models that incorporate economic data and poll surveys, and models that leverage Twitter (or X) and other social media platforms due to their increasing ...
[ { "created": "Sat, 9 Dec 2023 14:07:46 GMT", "version": "v1" } ]
2023-12-12
[ [ "Feng", "Guocheng", "" ], [ "Cai", "Huaiyu", "" ], [ "Chen", "Kaihao", "" ], [ "Li", "Zhijian", "" ] ]
U.S. Presidential Election forecasting has been a research interest for several decades. Currently, election prediction consists of two main approaches: traditional models that incorporate economic data and poll surveys, and models that leverage Twitter (or X) and other social media platforms due to their increasing po...
2009.11758
Julien Grange
Julien Grange
Successor-Invariant First-Order Logic on Classes of Bounded Degree
null
Logical Methods in Computer Science, Volume 17, Issue 3 (August 13, 2021) lmcs:6803
10.46298/lmcs-17(3:20)2021
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
We study the expressive power of successor-invariant first-order logic, which is an extension of first-order logic where the usage of an additional successor relation on the structure is allowed, as long as the validity of formulas is independent of the choice of a particular successor on finite structures. We show...
[ { "created": "Thu, 24 Sep 2020 15:30:13 GMT", "version": "v1" }, { "created": "Tue, 20 Apr 2021 15:27:14 GMT", "version": "v2" }, { "created": "Mon, 2 Aug 2021 12:50:17 GMT", "version": "v3" }, { "created": "Wed, 11 Aug 2021 20:50:24 GMT", "version": "v4" } ]
2023-06-22
[ [ "Grange", "Julien", "" ] ]
We study the expressive power of successor-invariant first-order logic, which is an extension of first-order logic where the usage of an additional successor relation on the structure is allowed, as long as the validity of formulas is independent of the choice of a particular successor on finite structures. We show tha...
2209.15373
Javier Huertas-Tato
Javier Huertas-Tato, Alvaro Huertas-Garcia, Alejandro Martin, David Camacho
PART: Pre-trained Authorship Representation Transformer
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Authors writing documents imprint identifying information within their texts: vocabulary, registry, punctuation, misspellings, or even emoji usage. Finding these details is very relevant to profile authors, relating back to their gender, occupation, age, and so on. But most importantly, repeating writing patterns can...
[ { "created": "Fri, 30 Sep 2022 11:08:39 GMT", "version": "v1" } ]
2022-10-03
[ [ "Huertas-Tato", "Javier", "" ], [ "Huertas-Garcia", "Alvaro", "" ], [ "Martin", "Alejandro", "" ], [ "Camacho", "David", "" ] ]
Authors writing documents imprint identifying information within their texts: vocabulary, registry, punctuation, misspellings, or even emoji usage. Finding these details is very relevant to profile authors, relating back to their gender, occupation, age, and so on. But most importantly, repeating writing patterns can h...
2112.01154
Yao Zhang
Tom H. Luan, Yao Zhang, Lin Cai, Yilong Hui, Changle Li and Nan Cheng
Autonomous Vehicular Networks: Perspective and Open Issues
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The vehicular ad hoc networks (VANETs) have been researched for over twenty years. Although being a fundamental communication approach for vehicles, the conventional VANETs are challenged by the newly emerged autonomous vehicles (AVs) which introduce new features and challenges on communications. In the meantime, wit...
[ { "created": "Thu, 2 Dec 2021 12:00:58 GMT", "version": "v1" } ]
2021-12-03
[ [ "Luan", "Tom H.", "" ], [ "Zhang", "Yao", "" ], [ "Cai", "Lin", "" ], [ "Hui", "Yilong", "" ], [ "Li", "Changle", "" ], [ "Cheng", "Nan", "" ] ]
The vehicular ad hoc networks (VANETs) have been researched for over twenty years. Although being a fundamental communication approach for vehicles, the conventional VANETs are challenged by the newly emerged autonomous vehicles (AVs) which introduce new features and challenges on communications. In the meantime, with ...
2407.00886
Aliyah Hsu
Aliyah R. Hsu, Yeshwanth Cherapanamjeri, Anobel Y. Odisho, Peter R. Carroll, Bin Yu
Mechanistic Interpretation through Contextual Decomposition in Transformers
null
null
null
null
cs.AI cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Transformers exhibit impressive capabilities but are often regarded as black boxes due to challenges in understanding the complex nonlinear relationships between features. Interpreting machine learning models is of paramount importance to mitigate risks, and mechanistic interpretability is in particular of current in...
[ { "created": "Mon, 1 Jul 2024 01:12:20 GMT", "version": "v1" } ]
2024-07-02
[ [ "Hsu", "Aliyah R.", "" ], [ "Cherapanamjeri", "Yeshwanth", "" ], [ "Odisho", "Anobel Y.", "" ], [ "Carroll", "Peter R.", "" ], [ "Yu", "Bin", "" ] ]
Transformers exhibit impressive capabilities but are often regarded as black boxes due to challenges in understanding the complex nonlinear relationships between features. Interpreting machine learning models is of paramount importance to mitigate risks, and mechanistic interpretability is in particular of current inte...
2203.15925
Xubo Lyu
Xubo Lyu, Amin Banitalebi-Dehkordi, Mo Chen, Yong Zhang
Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach
Accepted by IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
null
null
null
cs.RO cs.AI cs.LG cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cooperative multi-agent problems often require coordination between agents, which can be achieved through a centralized policy that considers the global state. Multi-agent policy gradient (MAPG) methods are commonly used to learn such policies, but they are often limited to problems with low-level action spaces. In c...
[ { "created": "Tue, 29 Mar 2022 22:02:28 GMT", "version": "v1" }, { "created": "Thu, 19 Jan 2023 19:49:47 GMT", "version": "v2" }, { "created": "Wed, 2 Aug 2023 05:57:05 GMT", "version": "v3" } ]
2023-08-03
[ [ "Lyu", "Xubo", "" ], [ "Banitalebi-Dehkordi", "Amin", "" ], [ "Chen", "Mo", "" ], [ "Zhang", "Yong", "" ] ]
Cooperative multi-agent problems often require coordination between agents, which can be achieved through a centralized policy that considers the global state. Multi-agent policy gradient (MAPG) methods are commonly used to learn such policies, but they are often limited to problems with low-level action spaces. In com...
2208.04222
Gabriele Tolomei
Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Zhenhua Huang, Hongshik Ahn, Gabriele Tolomei
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations
null
null
null
null
cs.IR cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, graph neural networks (GNNs) have been widely used to develop successful recommender systems. Although powerful, it is very difficult for a GNN-based recommender system to attach tangible explanations of why a specific item ends up in the list of suggestions for a given user. Indeed, explaining GNN-based re...
[ { "created": "Thu, 4 Aug 2022 09:13:00 GMT", "version": "v1" } ]
2022-08-09
[ [ "Chen", "Ziheng", "" ], [ "Silvestri", "Fabrizio", "" ], [ "Wang", "Jia", "" ], [ "Zhang", "Yongfeng", "" ], [ "Huang", "Zhenhua", "" ], [ "Ahn", "Hongshik", "" ], [ "Tolomei", "Gabriele", "" ] ]
Recently, graph neural networks (GNNs) have been widely used to develop successful recommender systems. Although powerful, it is very difficult for a GNN-based recommender system to attach tangible explanations of why a specific item ends up in the list of suggestions for a given user. Indeed, explaining GNN-based reco...
2012.02420
Junyu Luo
Junyu Luo, Zifei Zheng, Hanzhong Ye, Muchao Ye, Yaqing Wang, Quanzeng You, Cao Xiao and Fenglong Ma
Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation
COLING 2022
2022.coling-1.313
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Patients with low health literacy usually have difficulty understanding medical jargon and the complex structure of professional medical language. Although some studies are proposed to automatically translate expert language into layperson-understandable language, only a few of them focus on both accuracy and readabi...
[ { "created": "Fri, 4 Dec 2020 06:09:02 GMT", "version": "v1" }, { "created": "Thu, 21 Sep 2023 20:53:33 GMT", "version": "v2" } ]
2024-02-09
[ [ "Luo", "Junyu", "" ], [ "Zheng", "Zifei", "" ], [ "Ye", "Hanzhong", "" ], [ "Ye", "Muchao", "" ], [ "Wang", "Yaqing", "" ], [ "You", "Quanzeng", "" ], [ "Xiao", "Cao", "" ], [ "Ma", "Fenglong", ...
Patients with low health literacy usually have difficulty understanding medical jargon and the complex structure of professional medical language. Although some studies are proposed to automatically translate expert language into layperson-understandable language, only a few of them focus on both accuracy and readabili...
2210.09817
Edouard Pineau
Edouard Pineau, S\'ebastien Razakarivony, Mauricio Gonzalez and Anthony Schrapffer
Universal hidden monotonic trend estimation with contrastive learning
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we describe a universal method for extracting the underlying monotonic trend factor from time series data. We propose an approach related to the Mann-Kendall test, a standard monotonic trend detection method and call it contrastive trend estimation (CTE). We show that the CTE method identifies any hidd...
[ { "created": "Tue, 18 Oct 2022 12:54:08 GMT", "version": "v1" }, { "created": "Sun, 23 Apr 2023 07:46:32 GMT", "version": "v2" } ]
2023-04-25
[ [ "Pineau", "Edouard", "" ], [ "Razakarivony", "Sébastien", "" ], [ "Gonzalez", "Mauricio", "" ], [ "Schrapffer", "Anthony", "" ] ]
In this paper, we describe a universal method for extracting the underlying monotonic trend factor from time series data. We propose an approach related to the Mann-Kendall test, a standard monotonic trend detection method and call it contrastive trend estimation (CTE). We show that the CTE method identifies any hidden...
1309.5854
Hossein Hosseini
Seyed Hossein Hosseini, Mahrokh G. Shayesteh, Mehdi Chehel Amirani
Demodulation of Sparse PPM Signals with Low Samples Using Trained RIP Matrix
4 pages, 6 figures, conference paper
null
null
null
cs.OH cs.IT cs.LG math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Compressed sensing (CS) theory considers the restricted isometry property (RIP) as a sufficient condition for measurement matrix which guarantees the recovery of any sparse signal from its compressed measurements. The RIP condition also preserves enough information for classification of sparse symbols, even with fewe...
[ { "created": "Sun, 1 Sep 2013 22:14:52 GMT", "version": "v1" } ]
2013-09-24
[ [ "Hosseini", "Seyed Hossein", "" ], [ "Shayesteh", "Mahrokh G.", "" ], [ "Amirani", "Mehdi Chehel", "" ] ]
Compressed sensing (CS) theory considers the restricted isometry property (RIP) as a sufficient condition for measurement matrix which guarantees the recovery of any sparse signal from its compressed measurements. The RIP condition also preserves enough information for classification of sparse symbols, even with fewer ...
2007.14943
Andrea De Maio
Andrea De Maio and Simon Lacroix
Simultaneously Learning Corrections and Error Models for Geometry-based Visual Odometry Methods
Accepted in IEEE Robotics and Automation Letters and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper fosters the idea that deep learning methods can be used to complement classical visual odometry pipelines to improve their accuracy and to associate uncertainty models to their estimations. We show that the biases inherent to the visual odometry process can be faithfully learned and compensated for, and th...
[ { "created": "Wed, 29 Jul 2020 16:35:40 GMT", "version": "v1" } ]
2020-07-30
[ [ "De Maio", "Andrea", "" ], [ "Lacroix", "Simon", "" ] ]
This paper fosters the idea that deep learning methods can be used to complement classical visual odometry pipelines to improve their accuracy and to associate uncertainty models to their estimations. We show that the biases inherent to the visual odometry process can be faithfully learned and compensated for, and that...
1404.3959
Marco Guerini
Marco Guerini, Fabio Pianesi, Oliviero Stock
Is it morally acceptable for a system to lie to persuade me?
null
null
null
null
cs.CY cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given the fast rise of increasingly autonomous artificial agents and robots, a key acceptability criterion will be the possible moral implications of their actions. In particular, intelligent persuasive systems (systems designed to influence humans via communication) constitute a highly sensitive topic because of the...
[ { "created": "Tue, 15 Apr 2014 15:41:34 GMT", "version": "v1" } ]
2014-04-16
[ [ "Guerini", "Marco", "" ], [ "Pianesi", "Fabio", "" ], [ "Stock", "Oliviero", "" ] ]
Given the fast rise of increasingly autonomous artificial agents and robots, a key acceptability criterion will be the possible moral implications of their actions. In particular, intelligent persuasive systems (systems designed to influence humans via communication) constitute a highly sensitive topic because of their...
2108.04042
Katie Liszewski
Katie Liszewski, Timothy McDonley
Understanding Tool Synthesis Behavior and Safe Finite State Machine Design
6 pages, 11 figures
null
null
null
cs.AR
http://creativecommons.org/licenses/by-nc-nd/4.0/
High-reliability design requires understanding synthesis tool behavior and best practices. Detection and protection against illegal states and transitions is important for critical Finite State Machines (FSMs) within high reliability applications. Single Event Upsets (SEUs) probability is increasing with decreasing c...
[ { "created": "Mon, 9 Aug 2021 13:52:26 GMT", "version": "v1" } ]
2021-08-10
[ [ "Liszewski", "Katie", "" ], [ "McDonley", "Timothy", "" ] ]
High-reliability design requires understanding synthesis tool behavior and best practices. Detection and protection against illegal states and transitions is important for critical Finite State Machines (FSMs) within high reliability applications. Single Event Upsets (SEUs) probability is increasing with decreasing cir...
2104.14618
Jack West
Jack West, Kyuin Lee, Suman Banerjee, Younghyun Kim, George K. Thiruvathukal, Neil Klingensmith
Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication
16 pages, 5 figures, IPSN 2021
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Context-based authentication is a method for transparently validating another device's legitimacy to join a network based on location. Devices can pair with one another by continuously harvesting environmental noise to generate a random key with no user involvement. However, there are gaps in our understanding of the...
[ { "created": "Thu, 29 Apr 2021 19:10:26 GMT", "version": "v1" } ]
2021-05-03
[ [ "West", "Jack", "" ], [ "Lee", "Kyuin", "" ], [ "Banerjee", "Suman", "" ], [ "Kim", "Younghyun", "" ], [ "Thiruvathukal", "George K.", "" ], [ "Klingensmith", "Neil", "" ] ]
Context-based authentication is a method for transparently validating another device's legitimacy to join a network based on location. Devices can pair with one another by continuously harvesting environmental noise to generate a random key with no user involvement. However, there are gaps in our understanding of the t...
1611.00918
Kasper Green Larsen
Karl Bringmann, Allan Gr{\o}nlund, Kasper Green Larsen
A Dichotomy for Regular Expression Membership Testing
null
null
null
null
cs.DS cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study regular expression membership testing: Given a regular expression of size $m$ and a string of size $n$, decide whether the string is in the language described by the regular expression. Its classic $O(nm)$ algorithm is one of the big success stories of the 70s, which allowed pattern matching to develop into ...
[ { "created": "Thu, 3 Nov 2016 08:55:07 GMT", "version": "v1" }, { "created": "Mon, 7 Nov 2016 06:44:04 GMT", "version": "v2" } ]
2016-11-08
[ [ "Bringmann", "Karl", "" ], [ "Grønlund", "Allan", "" ], [ "Larsen", "Kasper Green", "" ] ]
We study regular expression membership testing: Given a regular expression of size $m$ and a string of size $n$, decide whether the string is in the language described by the regular expression. Its classic $O(nm)$ algorithm is one of the big success stories of the 70s, which allowed pattern matching to develop into th...
2302.11019
Ramneet Kaur
Ramneet Kaur, Xiayan Ji, Souradeep Dutta, Michele Caprio, Yahan Yang, Elena Bernardis, Oleg Sokolsky, Insup Lee
Using Semantic Information for Defining and Detecting OOD Inputs
null
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
As machine learning models continue to achieve impressive performance across different tasks, the importance of effective anomaly detection for such models has increased as well. It is common knowledge that even well-trained models lose their ability to function effectively on out-of-distribution inputs. Thus, out-of...
[ { "created": "Tue, 21 Feb 2023 21:31:20 GMT", "version": "v1" } ]
2023-02-23
[ [ "Kaur", "Ramneet", "" ], [ "Ji", "Xiayan", "" ], [ "Dutta", "Souradeep", "" ], [ "Caprio", "Michele", "" ], [ "Yang", "Yahan", "" ], [ "Bernardis", "Elena", "" ], [ "Sokolsky", "Oleg", "" ], [ "Lee"...
As machine learning models continue to achieve impressive performance across different tasks, the importance of effective anomaly detection for such models has increased as well. It is common knowledge that even well-trained models lose their ability to function effectively on out-of-distribution inputs. Thus, out-of-d...
1901.00893
Horia Porav
Horia Porav, Tom Bruls and Paul Newman
I Can See Clearly Now : Image Restoration via De-Raining
Submitted to ICRA2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a method for improving segmentation tasks on images affected by adherent rain drops and streaks. We introduce a novel stereo dataset recorded using a system that allows one lens to be affected by real water droplets while keeping the other lens clear. We train a denoising generator using this dataset and s...
[ { "created": "Thu, 3 Jan 2019 19:45:39 GMT", "version": "v1" } ]
2019-01-07
[ [ "Porav", "Horia", "" ], [ "Bruls", "Tom", "" ], [ "Newman", "Paul", "" ] ]
We present a method for improving segmentation tasks on images affected by adherent rain drops and streaks. We introduce a novel stereo dataset recorded using a system that allows one lens to be affected by real water droplets while keeping the other lens clear. We train a denoising generator using this dataset and sho...
2108.03509
Ruixiang Cui
Ruixiang Cui, Rahul Aralikatte, Heather Lent, Daniel Hershcovich
Compositional Generalization in Multilingual Semantic Parsing over Wikidata
Accepted to TACL; Authors' final version, pre-MIT Press publication; Previous title: Multilingual Compositional Wikidata Questions
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Semantic parsing (SP) allows humans to leverage vast knowledge resources through natural interaction. However, parsers are mostly designed for and evaluated on English resources, such as CFQ (Keysers et al., 2020), the current standard benchmark based on English data generated from grammar rules and oriented towards ...
[ { "created": "Sat, 7 Aug 2021 19:40:38 GMT", "version": "v1" }, { "created": "Tue, 31 May 2022 16:58:51 GMT", "version": "v2" } ]
2022-06-01
[ [ "Cui", "Ruixiang", "" ], [ "Aralikatte", "Rahul", "" ], [ "Lent", "Heather", "" ], [ "Hershcovich", "Daniel", "" ] ]
Semantic parsing (SP) allows humans to leverage vast knowledge resources through natural interaction. However, parsers are mostly designed for and evaluated on English resources, such as CFQ (Keysers et al., 2020), the current standard benchmark based on English data generated from grammar rules and oriented towards Fr...
2309.10485
Yuhong Yang
Hongyang Chen, Yuhong Yang, Zhongyuan Wang, Weiping Tu, Haojun Ai, Song Lin
Exploring Sentence Type Effects on the Lombard Effect and Intelligibility Enhancement: A Comparative Study of Natural and Grid Sentences
null
null
null
null
cs.SD cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This study explores how sentence types affect the Lombard effect and intelligibility enhancement, focusing on comparisons between natural and grid sentences. Using the Lombard Chinese-TIMIT (LCT) corpus and the Enhanced MAndarin Lombard Grid (EMALG) corpus, we analyze changes in phonetic and acoustic features across ...
[ { "created": "Tue, 19 Sep 2023 09:54:36 GMT", "version": "v1" }, { "created": "Tue, 9 Jul 2024 03:32:54 GMT", "version": "v2" } ]
2024-07-10
[ [ "Chen", "Hongyang", "" ], [ "Yang", "Yuhong", "" ], [ "Wang", "Zhongyuan", "" ], [ "Tu", "Weiping", "" ], [ "Ai", "Haojun", "" ], [ "Lin", "Song", "" ] ]
This study explores how sentence types affect the Lombard effect and intelligibility enhancement, focusing on comparisons between natural and grid sentences. Using the Lombard Chinese-TIMIT (LCT) corpus and the Enhanced MAndarin Lombard Grid (EMALG) corpus, we analyze changes in phonetic and acoustic features across di...
1808.09665
Loet Leydesdorff
Loet Leydesdorff and Tobias Opthof
Revisiting Relative Indicators and Provisional Truths
ISSI Newsletter #55, September 2018
null
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Following discussions in 2010 and 2011, scientometric evaluators have increasingly abandoned relative indicators in favor of comparing observed with expected citation ratios. The latter method provides parameters with error values allowing for the statistical testing of differences in citation scores. A further step ...
[ { "created": "Wed, 29 Aug 2018 07:45:32 GMT", "version": "v1" } ]
2018-08-30
[ [ "Leydesdorff", "Loet", "" ], [ "Opthof", "Tobias", "" ] ]
Following discussions in 2010 and 2011, scientometric evaluators have increasingly abandoned relative indicators in favor of comparing observed with expected citation ratios. The latter method provides parameters with error values allowing for the statistical testing of differences in citation scores. A further step wo...
1710.09918
Muhamed Turkanovi\'c
Muhamed Turkanovi\'c, Marko H\"olbl, Kristjan Ko\v{s}i\v{c}, Marjan Heri\v{c}ko, Aida Kami\v{s}ali\'c
EduCTX: A blockchain-based higher education credit platform
20 pages, 6 figures
null
10.1109/ACCESS.2018.2789929
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Blockchain technology enables the creation of a decentralized environment where transactions and data are not under the control of any third party organization. Any transaction ever completed is recorded in a public ledger in a verifiable and permanent way. Based on blockchain technology, we propose a global higher e...
[ { "created": "Thu, 26 Oct 2017 21:28:13 GMT", "version": "v1" } ]
2018-01-30
[ [ "Turkanović", "Muhamed", "" ], [ "Hölbl", "Marko", "" ], [ "Košič", "Kristjan", "" ], [ "Heričko", "Marjan", "" ], [ "Kamišalić", "Aida", "" ] ]
Blockchain technology enables the creation of a decentralized environment where transactions and data are not under the control of any third party organization. Any transaction ever completed is recorded in a public ledger in a verifiable and permanent way. Based on blockchain technology, we propose a global higher edu...
2004.09959
Kerstin H\"otte
Kerstin H\"otte, Anton Pichler, Fran\c{c}ois Lafond
The rise of science in low-carbon energy technologies
null
null
10.1016/j.rser.2020.110654
null
cs.DL econ.GN q-fin.EC
http://creativecommons.org/licenses/by/4.0/
Successfully combating climate change will require substantial technological improvements in Low-Carbon Energy Technologies (LCETs), but designing efficient allocation of R\&D budgets requires a better understanding of how LCETs rely on scientific knowledge. Using data covering almost all US patents and scientific ar...
[ { "created": "Tue, 21 Apr 2020 12:47:04 GMT", "version": "v1" }, { "created": "Fri, 4 Sep 2020 11:35:48 GMT", "version": "v2" } ]
2021-04-13
[ [ "Hötte", "Kerstin", "" ], [ "Pichler", "Anton", "" ], [ "Lafond", "François", "" ] ]
Successfully combating climate change will require substantial technological improvements in Low-Carbon Energy Technologies (LCETs), but designing efficient allocation of R\&D budgets requires a better understanding of how LCETs rely on scientific knowledge. Using data covering almost all US patents and scientific arti...
2310.09461
Dong Huang
Yutian Lei, Jun Liu, Dong Huang
MAC: ModAlity Calibration for Object Detection
null
null
null
null
cs.CV cs.MM cs.RO
http://creativecommons.org/licenses/by/4.0/
The flourishing success of Deep Neural Networks(DNNs) on RGB-input perception tasks has opened unbounded possibilities for non-RGB-input perception tasks, such as object detection from wireless signals, lidar scans, and infrared images. Compared to the matured development pipeline of RGB-input (source modality) model...
[ { "created": "Sat, 14 Oct 2023 00:58:32 GMT", "version": "v1" } ]
2023-10-17
[ [ "Lei", "Yutian", "" ], [ "Liu", "Jun", "" ], [ "Huang", "Dong", "" ] ]
The flourishing success of Deep Neural Networks(DNNs) on RGB-input perception tasks has opened unbounded possibilities for non-RGB-input perception tasks, such as object detection from wireless signals, lidar scans, and infrared images. Compared to the matured development pipeline of RGB-input (source modality) models,...