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1908.07899
Tobias Hinz
Marcus Soll, Tobias Hinz, Sven Magg, Stefan Wermter
Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples
Published at the International Conference on Artificial Neural Networks (ICANN) 2019
null
null
null
cs.CL cs.CR cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Adversarial examples are artificially modified input samples which lead to misclassifications, while not being detectable by humans. These adversarial examples are a challenge for many tasks such as image and text classification, especially as research shows that many adversarial examples are transferable between dif...
[ { "created": "Wed, 21 Aug 2019 14:50:13 GMT", "version": "v1" } ]
2019-08-22
[ [ "Soll", "Marcus", "" ], [ "Hinz", "Tobias", "" ], [ "Magg", "Sven", "" ], [ "Wermter", "Stefan", "" ] ]
Adversarial examples are artificially modified input samples which lead to misclassifications, while not being detectable by humans. These adversarial examples are a challenge for many tasks such as image and text classification, especially as research shows that many adversarial examples are transferable between diffe...
2204.03738
Felipe Oviedo
Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan Lavista Ferres
BankNote-Net: Open dataset for assistive universal currency recognition
Pre-print
null
null
null
cs.CV cs.HC cs.LG
http://creativecommons.org/licenses/by/4.0/
Millions of people around the world have low or no vision. Assistive software applications have been developed for a variety of day-to-day tasks, including optical character recognition, scene identification, person recognition, and currency recognition. This last task, the recognition of banknotes from different den...
[ { "created": "Thu, 7 Apr 2022 21:16:54 GMT", "version": "v1" } ]
2022-04-11
[ [ "Oviedo", "Felipe", "" ], [ "Vinnakota", "Srinivas", "" ], [ "Seleznev", "Eugene", "" ], [ "Malhotra", "Hemant", "" ], [ "Shaikh", "Saqib", "" ], [ "Ferres", "Juan Lavista", "" ] ]
Millions of people around the world have low or no vision. Assistive software applications have been developed for a variety of day-to-day tasks, including optical character recognition, scene identification, person recognition, and currency recognition. This last task, the recognition of banknotes from different denom...
2004.07610
Roshan Singh
Roshan Singh, Pranav Kumar Singh
Connecting the Dots of COVID-19 Transmissions in India
Withdrawing for improving research scope
null
null
null
cs.SI physics.soc-ph q-bio.PE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Witnessing its first case in late January 2020 India has seen a sharp rise in the number of positive cases of COVID-19. 34 States/UT (s) of the country have been found to be affected by the pandemic to date. We in this work, study the progress of COVID-19 pandemic in India. We aim to create transmission network visua...
[ { "created": "Thu, 16 Apr 2020 11:40:04 GMT", "version": "v1" }, { "created": "Sat, 25 Jul 2020 13:18:39 GMT", "version": "v2" } ]
2020-07-28
[ [ "Singh", "Roshan", "" ], [ "Singh", "Pranav Kumar", "" ] ]
Witnessing its first case in late January 2020 India has seen a sharp rise in the number of positive cases of COVID-19. 34 States/UT (s) of the country have been found to be affected by the pandemic to date. We in this work, study the progress of COVID-19 pandemic in India. We aim to create transmission network visuali...
2408.01163
Alexander Olza
Alexander Olza, David Soto, Roberto Santana
Domain Adaptation-Enhanced Searchlight: Enabling brain decoding from visual perception to mental imagery
null
null
null
null
cs.LG q-bio.NC
http://creativecommons.org/licenses/by-sa/4.0/
In cognitive neuroscience and brain-computer interface research, accurately predicting imagined stimuli is crucial. This study investigates the effectiveness of Domain Adaptation (DA) in enhancing imagery prediction using primarily visual data from fMRI scans of 18 subjects. Initially, we train a baseline model on vi...
[ { "created": "Fri, 2 Aug 2024 10:25:19 GMT", "version": "v1" } ]
2024-08-05
[ [ "Olza", "Alexander", "" ], [ "Soto", "David", "" ], [ "Santana", "Roberto", "" ] ]
In cognitive neuroscience and brain-computer interface research, accurately predicting imagined stimuli is crucial. This study investigates the effectiveness of Domain Adaptation (DA) in enhancing imagery prediction using primarily visual data from fMRI scans of 18 subjects. Initially, we train a baseline model on visu...
2007.03680
Ioannis Mavromatis Dr
Ioannis Mavromatis, Robert J. Piechocki, Mahesh Sooriyabandara, Arjun Parekh
DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems
Accepted for publication at IEEE ISCC 2020
null
10.1109/ISCC50000.2020.9219683
null
cs.NI cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a world where Artificial Intelligence revolutionizes inference, prediction and decision-making tasks, Digital Twins emerge as game-changing tools. A case in point is the development and optimization of Cooperative Intelligent Transportation Systems (C-ITSs): a confluence of cyber-physical digital infrastructure an...
[ { "created": "Tue, 7 Jul 2020 09:34:09 GMT", "version": "v1" } ]
2022-09-05
[ [ "Mavromatis", "Ioannis", "" ], [ "Piechocki", "Robert J.", "" ], [ "Sooriyabandara", "Mahesh", "" ], [ "Parekh", "Arjun", "" ] ]
In a world where Artificial Intelligence revolutionizes inference, prediction and decision-making tasks, Digital Twins emerge as game-changing tools. A case in point is the development and optimization of Cooperative Intelligent Transportation Systems (C-ITSs): a confluence of cyber-physical digital infrastructure and ...
2304.05895
Damien Dablain
Damien A. Dablain and Nitesh V. Chawla
Towards Understanding How Data Augmentation Works with Imbalanced Data
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Data augmentation forms the cornerstone of many modern machine learning training pipelines; yet, the mechanisms by which it works are not clearly understood. Much of the research on data augmentation (DA) has focused on improving existing techniques, examining its regularization effects in the context of neural netwo...
[ { "created": "Wed, 12 Apr 2023 15:01:22 GMT", "version": "v1" } ]
2023-04-13
[ [ "Dablain", "Damien A.", "" ], [ "Chawla", "Nitesh V.", "" ] ]
Data augmentation forms the cornerstone of many modern machine learning training pipelines; yet, the mechanisms by which it works are not clearly understood. Much of the research on data augmentation (DA) has focused on improving existing techniques, examining its regularization effects in the context of neural network...
2001.05581
Andreas Z\"ufle
Tobias Emrich, Hans-Peter Kriegel, Andreas Z\"ufle, Peer Kr\"oger, Matthias Renz
Complete and Sufficient Spatial Domination of Multidimensional Rectangles
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rectangles are used to approximate objects, or sets of objects, in a plethora of applications, systems and index structures. Many tasks, such as nearest neighbor search and similarity ranking, require to decide if objects in one rectangle A may, must, or must not be closer to objects in a second rectangle B, than obj...
[ { "created": "Wed, 15 Jan 2020 22:24:40 GMT", "version": "v1" } ]
2020-01-17
[ [ "Emrich", "Tobias", "" ], [ "Kriegel", "Hans-Peter", "" ], [ "Züfle", "Andreas", "" ], [ "Kröger", "Peer", "" ], [ "Renz", "Matthias", "" ] ]
Rectangles are used to approximate objects, or sets of objects, in a plethora of applications, systems and index structures. Many tasks, such as nearest neighbor search and similarity ranking, require to decide if objects in one rectangle A may, must, or must not be closer to objects in a second rectangle B, than objec...
1306.5838
Elena Khramtcova
Panagiotis Cheilaris, Elena Khramtcova, Evanthia Papadopoulou
Randomized incremental construction of the Hausdorff Voronoi diagram of non-crossing clusters
This paper has been withdrawn by the author because the substantially updated version (improved results, major text revision) is now submitted (arXiv:1312.3904)
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the Hausdorff Voronoi diagram of a set of clusters of points in the plane, the distance between a point t and a cluster P is the maximum Euclidean distance between t and a point in P. This diagram has direct applications in VLSI design. We consider so-called "non-crossing" clusters. The complexity of the Hausdorff...
[ { "created": "Tue, 25 Jun 2013 03:12:56 GMT", "version": "v1" }, { "created": "Mon, 16 Dec 2013 12:31:12 GMT", "version": "v2" } ]
2013-12-17
[ [ "Cheilaris", "Panagiotis", "" ], [ "Khramtcova", "Elena", "" ], [ "Papadopoulou", "Evanthia", "" ] ]
In the Hausdorff Voronoi diagram of a set of clusters of points in the plane, the distance between a point t and a cluster P is the maximum Euclidean distance between t and a point in P. This diagram has direct applications in VLSI design. We consider so-called "non-crossing" clusters. The complexity of the Hausdorff d...
2008.06471
Gal Metzer
Gal Metzer, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
Self-Sampling for Neural Point Cloud Consolidation
TOG 2021
null
null
null
cs.GR cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a novel technique for neural point cloud consolidation which learns from only the input point cloud. Unlike other point upsampling methods which analyze shapes via local patches, in this work, we learn from global subsets. We repeatedly self-sample the input point cloud with global subsets that are used ...
[ { "created": "Fri, 14 Aug 2020 17:16:02 GMT", "version": "v1" }, { "created": "Thu, 11 Mar 2021 17:09:31 GMT", "version": "v2" }, { "created": "Fri, 13 May 2022 09:19:55 GMT", "version": "v3" } ]
2022-05-16
[ [ "Metzer", "Gal", "" ], [ "Hanocka", "Rana", "" ], [ "Giryes", "Raja", "" ], [ "Cohen-Or", "Daniel", "" ] ]
We introduce a novel technique for neural point cloud consolidation which learns from only the input point cloud. Unlike other point upsampling methods which analyze shapes via local patches, in this work, we learn from global subsets. We repeatedly self-sample the input point cloud with global subsets that are used to...
1708.09540
Sukhdev Singh
Ayush Sharma, Piyush Bajpai, Sukhdev Singh and Kiran Khatter
Virtual Reality: Blessings and Risk Assessment
22 page and 1 Table
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Objectives: This paper presents an up-to-date overview of research performed in the Virtual Reality (VR) environment ranging from definitions, its presence in the various fields, and existing market players and their projects in the VR technology. Further an attempt is made to gain an insight on the psychological mec...
[ { "created": "Thu, 31 Aug 2017 02:34:22 GMT", "version": "v1" } ]
2017-09-01
[ [ "Sharma", "Ayush", "" ], [ "Bajpai", "Piyush", "" ], [ "Singh", "Sukhdev", "" ], [ "Khatter", "Kiran", "" ] ]
Objectives: This paper presents an up-to-date overview of research performed in the Virtual Reality (VR) environment ranging from definitions, its presence in the various fields, and existing market players and their projects in the VR technology. Further an attempt is made to gain an insight on the psychological mecha...
0905.1307
Michael Goodrich
Michael T. Goodrich, Roberto Tamassia, Jasminka Hasic
An Efficient Dynamic and Distributed RSA Accumulator
Expanded version of a paper appearing in the 5th International Information Security Conference (ISC)
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show how to use the RSA one-way accumulator to realize an efficient and dynamic authenticated dictionary, where untrusted directories provide cryptographically verifiable answers to membership queries on a set maintained by a trusted source. Our accumulator-based scheme for authenticated dictionaries supports effi...
[ { "created": "Fri, 8 May 2009 17:49:57 GMT", "version": "v1" } ]
2009-05-11
[ [ "Goodrich", "Michael T.", "" ], [ "Tamassia", "Roberto", "" ], [ "Hasic", "Jasminka", "" ] ]
We show how to use the RSA one-way accumulator to realize an efficient and dynamic authenticated dictionary, where untrusted directories provide cryptographically verifiable answers to membership queries on a set maintained by a trusted source. Our accumulator-based scheme for authenticated dictionaries supports effici...
2202.13114
Hoang Lam Nguyen
Hoang Lam Nguyen, Lars Grunske
BeDivFuzz: Integrating Behavioral Diversity into Generator-based Fuzzing
To appear in the proceedings of the 44th International Conference on Software Engineering (ICSE 2022)
null
10.1145/3510003.3510182
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A popular metric to evaluate the performance of fuzzers is branch coverage. However, we argue that focusing solely on covering many different branches (i.e., the richness) is not sufficient since the majority of the covered branches may have been exercised only once, which does not inspire a high confidence in the re...
[ { "created": "Sat, 26 Feb 2022 11:03:35 GMT", "version": "v1" } ]
2022-03-01
[ [ "Nguyen", "Hoang Lam", "" ], [ "Grunske", "Lars", "" ] ]
A popular metric to evaluate the performance of fuzzers is branch coverage. However, we argue that focusing solely on covering many different branches (i.e., the richness) is not sufficient since the majority of the covered branches may have been exercised only once, which does not inspire a high confidence in the reli...
2311.08552
Mahmoud Salem
Mahmoud G. Salem, Jiayu Ye, Chu-Cheng Lin, Frederick Liu
UT5: Pretraining Non autoregressive T5 with unrolled denoising
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Recent advances in Transformer-based Large Language Models have made great strides in natural language generation. However, to decode K tokens, an autoregressive model needs K sequential forward passes, which may be a performance bottleneck for large language models. Many non-autoregressive (NAR) research are aiming ...
[ { "created": "Tue, 14 Nov 2023 21:28:10 GMT", "version": "v1" } ]
2023-11-16
[ [ "Salem", "Mahmoud G.", "" ], [ "Ye", "Jiayu", "" ], [ "Lin", "Chu-Cheng", "" ], [ "Liu", "Frederick", "" ] ]
Recent advances in Transformer-based Large Language Models have made great strides in natural language generation. However, to decode K tokens, an autoregressive model needs K sequential forward passes, which may be a performance bottleneck for large language models. Many non-autoregressive (NAR) research are aiming to...
1706.08675
Dorien Herremans
Dorien Herremans, Ching-Hua Chuan
Proceedings of the First International Workshop on Deep Learning and Music
null
Proceedings of the First International Workshop on Deep Learning and Music, joint with IJCNN, Anchorage, US, May 17-18, 2017
10.13140/RG.2.2.22227.99364/1
null
cs.NE cs.LG cs.MM cs.SD
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Proceedings of the First International Workshop on Deep Learning and Music, joint with IJCNN, Anchorage, US, May 17-18, 2017
[ { "created": "Tue, 27 Jun 2017 05:28:06 GMT", "version": "v1" } ]
2017-06-28
[ [ "Herremans", "Dorien", "" ], [ "Chuan", "Ching-Hua", "" ] ]
Proceedings of the First International Workshop on Deep Learning and Music, joint with IJCNN, Anchorage, US, May 17-18, 2017
2210.07474
Xiaojian Ma
Xiaojian Ma, Silong Yong, Zilong Zheng, Qing Li, Yitao Liang, Song-Chun Zhu, Siyuan Huang
SQA3D: Situated Question Answering in 3D Scenes
ICLR 2023. First two authors contributed equally. Project website: https://sqa3d.github.io
null
null
null
cs.CV cs.AI cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
We propose a new task to benchmark scene understanding of embodied agents: Situated Question Answering in 3D Scenes (SQA3D). Given a scene context (e.g., 3D scan), SQA3D requires the tested agent to first understand its situation (position, orientation, etc.) in the 3D scene as described by text, then reason about it...
[ { "created": "Fri, 14 Oct 2022 02:52:26 GMT", "version": "v1" }, { "created": "Sat, 22 Oct 2022 15:25:26 GMT", "version": "v2" }, { "created": "Sat, 11 Feb 2023 01:57:41 GMT", "version": "v3" }, { "created": "Wed, 22 Feb 2023 08:25:24 GMT", "version": "v4" }, { "c...
2023-04-14
[ [ "Ma", "Xiaojian", "" ], [ "Yong", "Silong", "" ], [ "Zheng", "Zilong", "" ], [ "Li", "Qing", "" ], [ "Liang", "Yitao", "" ], [ "Zhu", "Song-Chun", "" ], [ "Huang", "Siyuan", "" ] ]
We propose a new task to benchmark scene understanding of embodied agents: Situated Question Answering in 3D Scenes (SQA3D). Given a scene context (e.g., 3D scan), SQA3D requires the tested agent to first understand its situation (position, orientation, etc.) in the 3D scene as described by text, then reason about its ...
2308.02874
Zijie Wu
Zijie Wu, Yaonan Wang, Mingtao Feng, He Xie, Ajmal Mian
Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation
Accepted by ICCV 2023
null
null
null
cs.CV cs.MM
http://creativecommons.org/licenses/by/4.0/
Diffusion probabilistic models have achieved remarkable success in text guided image generation. However, generating 3D shapes is still challenging due to the lack of sufficient data containing 3D models along with their descriptions. Moreover, text based descriptions of 3D shapes are inherently ambiguous and lack de...
[ { "created": "Sat, 5 Aug 2023 13:10:43 GMT", "version": "v1" } ]
2023-08-08
[ [ "Wu", "Zijie", "" ], [ "Wang", "Yaonan", "" ], [ "Feng", "Mingtao", "" ], [ "Xie", "He", "" ], [ "Mian", "Ajmal", "" ] ]
Diffusion probabilistic models have achieved remarkable success in text guided image generation. However, generating 3D shapes is still challenging due to the lack of sufficient data containing 3D models along with their descriptions. Moreover, text based descriptions of 3D shapes are inherently ambiguous and lack deta...
1102.5197
Moez Hizem
Moez Hizem and Ridha Bouallegue
Fine Synchronization through UWB TH-PPM Impulse Radios
11 pages, 7 figures
International Journal of Wireless & Mobile Networks (IJWMN) Vol. 3, No. 1, February 2011
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a novel fine timing algorithm has been tested and developed to synchronize Ultra-Wideband (UWB) signals with pulse position modulation (PPM). By applying this algorithm, we evaluate timing algorithms in both data-aided (DA) and non-data-aided (NDA) modes. Based on correlation operations, our algorithm ...
[ { "created": "Fri, 25 Feb 2011 09:31:28 GMT", "version": "v1" } ]
2011-02-28
[ [ "Hizem", "Moez", "" ], [ "Bouallegue", "Ridha", "" ] ]
In this paper, a novel fine timing algorithm has been tested and developed to synchronize Ultra-Wideband (UWB) signals with pulse position modulation (PPM). By applying this algorithm, we evaluate timing algorithms in both data-aided (DA) and non-data-aided (NDA) modes. Based on correlation operations, our algorithm re...
1304.0270
Jun Zhu Professor
Fan Wang, Jun Zhu and Lin Zhang
An optimal problem for relative entropy
10 page
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Relative entropy is an essential tool in quantum information theory. There are so many problems which are related to relative entropy. In this article, the optimal values which are defined by $\displaystyle\max_{U\in{U(\cX_{d})}} S(U\rho{U^{\ast}}\parallel\sigma)$ and $\displaystyle\min_{U\in{U(\cX_{d})}} S(U\rho{U^{...
[ { "created": "Mon, 1 Apr 2013 00:53:08 GMT", "version": "v1" } ]
2013-04-02
[ [ "Wang", "Fan", "" ], [ "Zhu", "Jun", "" ], [ "Zhang", "Lin", "" ] ]
Relative entropy is an essential tool in quantum information theory. There are so many problems which are related to relative entropy. In this article, the optimal values which are defined by $\displaystyle\max_{U\in{U(\cX_{d})}} S(U\rho{U^{\ast}}\parallel\sigma)$ and $\displaystyle\min_{U\in{U(\cX_{d})}} S(U\rho{U^{\a...
0909.5649
Vitaly Osipov
Nikolaj Leischner, Vitaly Osipov, Peter Sanders
GPU sample sort
null
null
null
null
cs.DS cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present the design of a sample sort algorithm for manycore GPUs. Despite being one of the most efficient comparison-based sorting algorithms for distributed memory architectures its performance on GPUs was previously unknown. For uniformly distributed keys our sample sort is at least 25% and on aver...
[ { "created": "Wed, 30 Sep 2009 15:58:53 GMT", "version": "v1" } ]
2009-10-01
[ [ "Leischner", "Nikolaj", "" ], [ "Osipov", "Vitaly", "" ], [ "Sanders", "Peter", "" ] ]
In this paper, we present the design of a sample sort algorithm for manycore GPUs. Despite being one of the most efficient comparison-based sorting algorithms for distributed memory architectures its performance on GPUs was previously unknown. For uniformly distributed keys our sample sort is at least 25% and on averag...
2408.05746
Nianzu Li
Nianzu Li, Weidong Mei, Boyu Ning, Peiran Wu
Movable Antenna Enhanced AF Relaying: Two-Stage Antenna Position Optimization
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The movable antenna (MA) technology has attracted increasing attention in wireless communications due to its capability for flexibly adjusting the positions of multiple antennas in a local region to reconfigure channel conditions. In this paper, we investigate its application in an amplify-and-forward (AF) relay syst...
[ { "created": "Sun, 11 Aug 2024 10:58:13 GMT", "version": "v1" } ]
2024-08-13
[ [ "Li", "Nianzu", "" ], [ "Mei", "Weidong", "" ], [ "Ning", "Boyu", "" ], [ "Wu", "Peiran", "" ] ]
The movable antenna (MA) technology has attracted increasing attention in wireless communications due to its capability for flexibly adjusting the positions of multiple antennas in a local region to reconfigure channel conditions. In this paper, we investigate its application in an amplify-and-forward (AF) relay system...
2002.08859
Eitan Richardson
Eitan Richardson and Yair Weiss
A Bayes-Optimal View on Adversarial Examples
Minor revision per journal review, 28 pages
null
null
null
cs.LG cs.CR cs.CV stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
Since the discovery of adversarial examples - the ability to fool modern CNN classifiers with tiny perturbations of the input, there has been much discussion whether they are a "bug" that is specific to current neural architectures and training methods or an inevitable "feature" of high dimensional geometry. In this ...
[ { "created": "Thu, 20 Feb 2020 16:43:47 GMT", "version": "v1" }, { "created": "Wed, 17 Mar 2021 09:47:10 GMT", "version": "v2" } ]
2021-03-18
[ [ "Richardson", "Eitan", "" ], [ "Weiss", "Yair", "" ] ]
Since the discovery of adversarial examples - the ability to fool modern CNN classifiers with tiny perturbations of the input, there has been much discussion whether they are a "bug" that is specific to current neural architectures and training methods or an inevitable "feature" of high dimensional geometry. In this pa...
2111.12077
Jonathan Barron
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
https://jonbarron.info/mipnerf360/
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Though neural radiance fields (NeRF) have demonstrated impressive view synthesis results on objects and small bounded regions of space, they struggle on "unbounded" scenes, where the camera may point in any direction and content may exist at any distance. In this setting, existing NeRF-like models often produce blurr...
[ { "created": "Tue, 23 Nov 2021 18:51:18 GMT", "version": "v1" }, { "created": "Wed, 24 Nov 2021 18:51:06 GMT", "version": "v2" }, { "created": "Fri, 25 Mar 2022 23:05:20 GMT", "version": "v3" } ]
2022-03-29
[ [ "Barron", "Jonathan T.", "" ], [ "Mildenhall", "Ben", "" ], [ "Verbin", "Dor", "" ], [ "Srinivasan", "Pratul P.", "" ], [ "Hedman", "Peter", "" ] ]
Though neural radiance fields (NeRF) have demonstrated impressive view synthesis results on objects and small bounded regions of space, they struggle on "unbounded" scenes, where the camera may point in any direction and content may exist at any distance. In this setting, existing NeRF-like models often produce blurry ...
1103.4080
Armel Ulrich Kemloh Wagoum
A. U. Kemloh Wagoum, A. Seyfried and S. Holl
Modelling dynamic route choice of pedestrians to assess the criticality of building evacuation
15 pages, 34 figures
null
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an event-driven way finding algorithm for pedestrians in an evacuation scenario, which operates on a graph-based structure. The motivation of each pedestrian is to leave the facility. The events used to redirect pedestrians include the identification of a jam situation and/or identification of a b...
[ { "created": "Mon, 21 Mar 2011 17:04:08 GMT", "version": "v1" } ]
2011-03-22
[ [ "Wagoum", "A. U. Kemloh", "" ], [ "Seyfried", "A.", "" ], [ "Holl", "S.", "" ] ]
This paper presents an event-driven way finding algorithm for pedestrians in an evacuation scenario, which operates on a graph-based structure. The motivation of each pedestrian is to leave the facility. The events used to redirect pedestrians include the identification of a jam situation and/or identification of a bet...
2211.10409
Chi Zhang
Chi Zhang, Paul Scheffler, Thomas Benz, Matteo Perotti, Luca Benini
AXI-Pack: Near-Memory Bus Packing for Bandwidth-Efficient Irregular Workloads
6 pages, 5 figures. Submitted to DATE 2023
null
null
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data-intensive applications involving irregular memory streams are inefficiently handled by modern processors and memory systems highly optimized for regular, contiguous data. Recent work tackles these inefficiencies in hardware through core-side stream extensions or memory-side prefetchers and accelerators, but fail...
[ { "created": "Fri, 18 Nov 2022 18:23:47 GMT", "version": "v1" } ]
2022-11-21
[ [ "Zhang", "Chi", "" ], [ "Scheffler", "Paul", "" ], [ "Benz", "Thomas", "" ], [ "Perotti", "Matteo", "" ], [ "Benini", "Luca", "" ] ]
Data-intensive applications involving irregular memory streams are inefficiently handled by modern processors and memory systems highly optimized for regular, contiguous data. Recent work tackles these inefficiencies in hardware through core-side stream extensions or memory-side prefetchers and accelerators, but fails ...
2303.13514
Mehmet Ayg\"un
Mehmet Ayg\"un and Oisin Mac Aodha
SAOR: Single-View Articulated Object Reconstruction
Accepted to CVPR 2024, website: https://mehmetaygun.github.io/saor
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
We introduce SAOR, a novel approach for estimating the 3D shape, texture, and viewpoint of an articulated object from a single image captured in the wild. Unlike prior approaches that rely on pre-defined category-specific 3D templates or tailored 3D skeletons, SAOR learns to articulate shapes from single-view image c...
[ { "created": "Thu, 23 Mar 2023 17:59:35 GMT", "version": "v1" }, { "created": "Fri, 1 Dec 2023 19:25:10 GMT", "version": "v2" }, { "created": "Mon, 8 Apr 2024 11:22:05 GMT", "version": "v3" } ]
2024-04-09
[ [ "Aygün", "Mehmet", "" ], [ "Mac Aodha", "Oisin", "" ] ]
We introduce SAOR, a novel approach for estimating the 3D shape, texture, and viewpoint of an articulated object from a single image captured in the wild. Unlike prior approaches that rely on pre-defined category-specific 3D templates or tailored 3D skeletons, SAOR learns to articulate shapes from single-view image col...
1611.03453
Abhishek Gupta
Abhishek Gupta, M. Farhan Habib, Uttam Mandal, Pulak Chowdhury, Massimo Tornatore, and Biswanath Mukherjee
On Service-Chaining Strategies using Virtual Network Functions in Operator Networks
null
https://doi.org/10.1016/j.comnet.2018.01.028
10.1016/j.comnet.2018.01.028
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Network functions (e.g., firewalls, load balancers, etc.) have been traditionally provided through proprietary hardware appliances. Often, hardware appliances need to be hardwired back to back to form a service chain providing chained network functions. Hardware appliances cannot be provisioned on demand since they a...
[ { "created": "Thu, 10 Nov 2016 19:15:45 GMT", "version": "v1" } ]
2018-04-23
[ [ "Gupta", "Abhishek", "" ], [ "Habib", "M. Farhan", "" ], [ "Mandal", "Uttam", "" ], [ "Chowdhury", "Pulak", "" ], [ "Tornatore", "Massimo", "" ], [ "Mukherjee", "Biswanath", "" ] ]
Network functions (e.g., firewalls, load balancers, etc.) have been traditionally provided through proprietary hardware appliances. Often, hardware appliances need to be hardwired back to back to form a service chain providing chained network functions. Hardware appliances cannot be provisioned on demand since they are...
2209.09668
Max Klimm
Max Klimm and Martin Knaack
Maximizing a Submodular Function with Bounded Curvature under an Unknown Knapsack Constraint
null
null
null
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies the problem of maximizing a monotone submodular function under an unknown knapsack constraint. A solution to this problem is a policy that decides which item to pack next based on the past packing history. The robustness factor of a policy is the worst case ratio of the solution obtained by followi...
[ { "created": "Tue, 20 Sep 2022 12:04:59 GMT", "version": "v1" } ]
2022-09-21
[ [ "Klimm", "Max", "" ], [ "Knaack", "Martin", "" ] ]
This paper studies the problem of maximizing a monotone submodular function under an unknown knapsack constraint. A solution to this problem is a policy that decides which item to pack next based on the past packing history. The robustness factor of a policy is the worst case ratio of the solution obtained by following...
1511.05768
Andreas Bulling
Marc Tonsen, Xucong Zhang, Yusuke Sugano, Andreas Bulling
Labeled pupils in the wild: A dataset for studying pupil detection in unconstrained environments
null
null
10.1145/2857491.2857520
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present labelled pupils in the wild (LPW), a novel dataset of 66 high-quality, high-speed eye region videos for the development and evaluation of pupil detection algorithms. The videos in our dataset were recorded from 22 participants in everyday locations at about 95 FPS using a state-of-the-art dark-pupil head-m...
[ { "created": "Wed, 18 Nov 2015 13:30:55 GMT", "version": "v1" } ]
2017-02-07
[ [ "Tonsen", "Marc", "" ], [ "Zhang", "Xucong", "" ], [ "Sugano", "Yusuke", "" ], [ "Bulling", "Andreas", "" ] ]
We present labelled pupils in the wild (LPW), a novel dataset of 66 high-quality, high-speed eye region videos for the development and evaluation of pupil detection algorithms. The videos in our dataset were recorded from 22 participants in everyday locations at about 95 FPS using a state-of-the-art dark-pupil head-mou...
2407.03596
Xuerong Zhang
Xuerong Zhang, Li Huang, Jing Lv, Ming Yang
Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification
ICANN24 accepted
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Semi-supervised learning is attracting blooming attention, due to its success in combining unlabeled data. However, pseudo-labeling-based semi-supervised approaches suffer from two problems in image classification: (1) Existing methods might fail to adopt suitable thresholds since they either use a pre-defined/fixed ...
[ { "created": "Thu, 4 Jul 2024 03:04:56 GMT", "version": "v1" } ]
2024-07-08
[ [ "Zhang", "Xuerong", "" ], [ "Huang", "Li", "" ], [ "Lv", "Jing", "" ], [ "Yang", "Ming", "" ] ]
Semi-supervised learning is attracting blooming attention, due to its success in combining unlabeled data. However, pseudo-labeling-based semi-supervised approaches suffer from two problems in image classification: (1) Existing methods might fail to adopt suitable thresholds since they either use a pre-defined/fixed th...
2303.04392
Amaael Antonini
Amaael Antonini, Rita Gimelshein, and Richard Wesel
Achievable Rates and Low-Complexity Encoding of Posterior Matching for the BSC
This paper consists of 26 pages and contains 6 figures. An earlier version of the algorithm included in this paper was published at the 2020 IEEE International Symposium on Information Theory (ISIT), (DOI: 10.1109/ISIT44484.2020.9174232)
null
null
null
cs.IT cs.IR math.IT
http://creativecommons.org/licenses/by-nc-nd/4.0/
Horstein, Burnashev, Shayevitz and Feder, Naghshvar et al. and others have studied sequential transmission of a K-bit message over the binary symmetric channel (BSC) with full, noiseless feedback using posterior matching. Yang et al. provide an improved lower bound on the achievable rate using martingale analysis tha...
[ { "created": "Wed, 8 Mar 2023 05:53:33 GMT", "version": "v1" }, { "created": "Fri, 10 Mar 2023 01:31:11 GMT", "version": "v2" } ]
2023-03-13
[ [ "Antonini", "Amaael", "" ], [ "Gimelshein", "Rita", "" ], [ "Wesel", "Richard", "" ] ]
Horstein, Burnashev, Shayevitz and Feder, Naghshvar et al. and others have studied sequential transmission of a K-bit message over the binary symmetric channel (BSC) with full, noiseless feedback using posterior matching. Yang et al. provide an improved lower bound on the achievable rate using martingale analysis that ...
2401.10353
Mian Zhang
Mian Zhang, Lifeng Jin, Linfeng Song, Haitao Mi and Dong Yu
Inconsistent dialogue responses and how to recover from them
Accepted in EACL 2024. Code and dataset available at https://github.com/mianzhang/CIDER
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
One critical issue for chat systems is to stay consistent about preferences, opinions, beliefs and facts of itself, which has been shown a difficult problem. In this work, we study methods to assess and bolster utterance consistency of chat systems. A dataset is first developed for studying the inconsistencies, where...
[ { "created": "Thu, 18 Jan 2024 19:46:04 GMT", "version": "v1" } ]
2024-01-22
[ [ "Zhang", "Mian", "" ], [ "Jin", "Lifeng", "" ], [ "Song", "Linfeng", "" ], [ "Mi", "Haitao", "" ], [ "Yu", "Dong", "" ] ]
One critical issue for chat systems is to stay consistent about preferences, opinions, beliefs and facts of itself, which has been shown a difficult problem. In this work, we study methods to assess and bolster utterance consistency of chat systems. A dataset is first developed for studying the inconsistencies, where i...
2307.10447
Yumeng Xue
Yumeng Xue, Patrick Paetzold, Rebecca Kehlbeck, Bin Chen, Kin Chung Kwan, Yunhai Wang, and Oliver Deussen
Reducing Ambiguities in Line-based Density Plots by Image-space Colorization
Published in IEEE Transactions on Visualization and Computer Graphics (Supplementary Material: https://osf.io/jm5yz/)
null
10.1109/TVCG.2023.3327149
null
cs.GR
http://creativecommons.org/licenses/by-nc-nd/4.0/
Line-based density plots are used to reduce visual clutter in line charts with a multitude of individual lines. However, these traditional density plots are often perceived ambiguously, which obstructs the user's identification of underlying trends in complex datasets. Thus, we propose a novel image space coloring me...
[ { "created": "Sun, 16 Jul 2023 15:15:00 GMT", "version": "v1" }, { "created": "Wed, 22 Nov 2023 13:22:48 GMT", "version": "v2" } ]
2023-11-23
[ [ "Xue", "Yumeng", "" ], [ "Paetzold", "Patrick", "" ], [ "Kehlbeck", "Rebecca", "" ], [ "Chen", "Bin", "" ], [ "Kwan", "Kin Chung", "" ], [ "Wang", "Yunhai", "" ], [ "Deussen", "Oliver", "" ] ]
Line-based density plots are used to reduce visual clutter in line charts with a multitude of individual lines. However, these traditional density plots are often perceived ambiguously, which obstructs the user's identification of underlying trends in complex datasets. Thus, we propose a novel image space coloring meth...
2401.15289
Xi Tan
Xi Tan, Zheyuan Ma, Sandro Pinto, Le Guan, Ning Zhang, Jun Xu, Zhiqiang Lin, Hongxin Hu, Ziming Zhao
SoK: Where's the "up"?! A Comprehensive (bottom-up) Study on the Security of Arm Cortex-M Systems
To Appear in the 18th USENIX WOOT Conference on Offensive Technologies, August 12-13, 2024
null
null
null
cs.CR cs.AR
http://creativecommons.org/licenses/by/4.0/
Arm Cortex-M processors are the most widely used 32-bit microcontrollers among embedded and Internet-of-Things devices. Despite the widespread usage, there has been little effort in summarizing their hardware security features, characterizing the limitations and vulnerabilities of their hardware and software stack, a...
[ { "created": "Sat, 27 Jan 2024 04:09:29 GMT", "version": "v1" }, { "created": "Wed, 31 Jan 2024 17:20:26 GMT", "version": "v2" }, { "created": "Mon, 13 May 2024 21:09:28 GMT", "version": "v3" } ]
2024-05-15
[ [ "Tan", "Xi", "" ], [ "Ma", "Zheyuan", "" ], [ "Pinto", "Sandro", "" ], [ "Guan", "Le", "" ], [ "Zhang", "Ning", "" ], [ "Xu", "Jun", "" ], [ "Lin", "Zhiqiang", "" ], [ "Hu", "Hongxin", "" ...
Arm Cortex-M processors are the most widely used 32-bit microcontrollers among embedded and Internet-of-Things devices. Despite the widespread usage, there has been little effort in summarizing their hardware security features, characterizing the limitations and vulnerabilities of their hardware and software stack, and...
2205.01873
Yuanfei Dai
Yuanfei Dai, Wenzhong Guo and Carsten Eickhoff
Wasserstein Adversarial Learning based Temporal Knowledge Graph Embedding
null
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Research on knowledge graph embedding (KGE) has emerged as an active field in which most existing KGE approaches mainly focus on static structural data and ignore the influence of temporal variation involved in time-aware triples. In order to deal with this issue, several temporal knowledge graph embedding (TKGE) app...
[ { "created": "Wed, 4 May 2022 03:28:49 GMT", "version": "v1" } ]
2022-05-05
[ [ "Dai", "Yuanfei", "" ], [ "Guo", "Wenzhong", "" ], [ "Eickhoff", "Carsten", "" ] ]
Research on knowledge graph embedding (KGE) has emerged as an active field in which most existing KGE approaches mainly focus on static structural data and ignore the influence of temporal variation involved in time-aware triples. In order to deal with this issue, several temporal knowledge graph embedding (TKGE) appro...
1612.05877
Zhiwu Huang
Zhiwu Huang, Chengde Wan, Thomas Probst, Luc Van Gool
Deep Learning on Lie Groups for Skeleton-based Action Recognition
Accepted to CVPR 2017
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, skeleton-based action recognition has become a popular 3D classification problem. State-of-the-art methods typically first represent each motion sequence as a high-dimensional trajectory on a Lie group with an additional dynamic time warping, and then shallowly learn favorable Lie group features. In ...
[ { "created": "Sun, 18 Dec 2016 09:08:29 GMT", "version": "v1" }, { "created": "Tue, 11 Apr 2017 08:47:00 GMT", "version": "v2" } ]
2017-04-12
[ [ "Huang", "Zhiwu", "" ], [ "Wan", "Chengde", "" ], [ "Probst", "Thomas", "" ], [ "Van Gool", "Luc", "" ] ]
In recent years, skeleton-based action recognition has become a popular 3D classification problem. State-of-the-art methods typically first represent each motion sequence as a high-dimensional trajectory on a Lie group with an additional dynamic time warping, and then shallowly learn favorable Lie group features. In th...
1806.04836
Noam Buckman
Noam Buckman, Han-Lim Choi, Jonathan P. How
Partial Replanning for Decentralized Dynamic Task Allocation
11 pages, Accepted to AIAA GNC 2019
null
10.2514/6.2019-0915
null
cs.MA
http://creativecommons.org/licenses/by-nc-sa/4.0/
In time-sensitive and dynamic missions, multi-UAV teams must respond quickly to new information and objectives. This paper presents a dynamic decentralized task allocation algorithm for allocating new tasks that appear online during the solving of the task allocation problem. Our algorithm extends the Consensus-Based...
[ { "created": "Wed, 13 Jun 2018 03:18:40 GMT", "version": "v1" }, { "created": "Thu, 25 Oct 2018 22:45:04 GMT", "version": "v2" } ]
2023-10-02
[ [ "Buckman", "Noam", "" ], [ "Choi", "Han-Lim", "" ], [ "How", "Jonathan P.", "" ] ]
In time-sensitive and dynamic missions, multi-UAV teams must respond quickly to new information and objectives. This paper presents a dynamic decentralized task allocation algorithm for allocating new tasks that appear online during the solving of the task allocation problem. Our algorithm extends the Consensus-Based B...
2102.07833
Aleksei Sorokin
Sou-Cheng T. Choi, Fred J. Hickernell, R. Jagadeeswaran, Michael J. McCourt, and Aleksei G. Sorokin
Quasi-Monte Carlo Software
25 pages, 7 figures, to be published in the MCQMC2020 Proceedings
null
null
null
cs.MS cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Practitioners wishing to experience the efficiency gains from using low discrepancy sequences need correct, robust, well-written software. This article, based on our MCQMC 2020 tutorial, describes some of the better quasi-Monte Carlo (QMC) software available. We highlight the key software components required by QMC t...
[ { "created": "Mon, 15 Feb 2021 20:21:05 GMT", "version": "v1" }, { "created": "Wed, 29 Sep 2021 14:52:31 GMT", "version": "v2" }, { "created": "Thu, 14 Oct 2021 17:44:05 GMT", "version": "v3" } ]
2021-10-15
[ [ "Choi", "Sou-Cheng T.", "" ], [ "Hickernell", "Fred J.", "" ], [ "Jagadeeswaran", "R.", "" ], [ "McCourt", "Michael J.", "" ], [ "Sorokin", "Aleksei G.", "" ] ]
Practitioners wishing to experience the efficiency gains from using low discrepancy sequences need correct, robust, well-written software. This article, based on our MCQMC 2020 tutorial, describes some of the better quasi-Monte Carlo (QMC) software available. We highlight the key software components required by QMC to ...
1807.11929
Mengmi Zhang
Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen, Joo Hwee Lim, Qi Zhao, and Jiashi Feng
Egocentric Spatial Memory
8 pages, 6 figures, accepted in IROS 2018
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Egocentric spatial memory (ESM) defines a memory system with encoding, storing, recognizing and recalling the spatial information about the environment from an egocentric perspective. We introduce an integrated deep neural network architecture for modeling ESM. It learns to estimate the occupancy state of the world a...
[ { "created": "Tue, 31 Jul 2018 17:27:19 GMT", "version": "v1" } ]
2018-08-01
[ [ "Zhang", "Mengmi", "" ], [ "Ma", "Keng Teck", "" ], [ "Yen", "Shih-Cheng", "" ], [ "Lim", "Joo Hwee", "" ], [ "Zhao", "Qi", "" ], [ "Feng", "Jiashi", "" ] ]
Egocentric spatial memory (ESM) defines a memory system with encoding, storing, recognizing and recalling the spatial information about the environment from an egocentric perspective. We introduce an integrated deep neural network architecture for modeling ESM. It learns to estimate the occupancy state of the world and...
2110.14460
Maciej Drozdowski
Thomas Robertazzi, Maciej Drozdowski
Interaction Maxima in Distributed Systems
10 pages, 1 figure
null
null
null
cs.DM
http://creativecommons.org/licenses/by-nc-nd/4.0/
In this paper we study the maximum degree of interaction which may emerge in distributed systems. It is assumed that a distributed system is represented by a graph of nodes interacting over edges. Each node has some amount of data. The intensity of interaction over an edge is proportional to the product of the amount...
[ { "created": "Wed, 27 Oct 2021 14:28:11 GMT", "version": "v1" } ]
2021-10-28
[ [ "Robertazzi", "Thomas", "" ], [ "Drozdowski", "Maciej", "" ] ]
In this paper we study the maximum degree of interaction which may emerge in distributed systems. It is assumed that a distributed system is represented by a graph of nodes interacting over edges. Each node has some amount of data. The intensity of interaction over an edge is proportional to the product of the amounts ...
2208.07464
Brendon G. Anderson
Brendon G. Anderson, Tanmay Gautam, Somayeh Sojoudi
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models
null
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this discussion paper, we survey recent research surrounding robustness of machine learning models. As learning algorithms become increasingly more popular in data-driven control systems, their robustness to data uncertainty must be ensured in order to maintain reliable safety-critical operations. We begin by revi...
[ { "created": "Mon, 15 Aug 2022 23:09:54 GMT", "version": "v1" }, { "created": "Tue, 27 Sep 2022 16:55:39 GMT", "version": "v2" } ]
2022-09-28
[ [ "Anderson", "Brendon G.", "" ], [ "Gautam", "Tanmay", "" ], [ "Sojoudi", "Somayeh", "" ] ]
In this discussion paper, we survey recent research surrounding robustness of machine learning models. As learning algorithms become increasingly more popular in data-driven control systems, their robustness to data uncertainty must be ensured in order to maintain reliable safety-critical operations. We begin by review...
2011.05507
Chun-Na Li
Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Lan Bai, Yuan-Hai Shao
Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently proposed L2-norm linear discriminant analysis criterion via the Bhattacharyya error bound estimation (L2BLDA) is an effective improvement of linear discriminant analysis (LDA) for feature extraction. However, L2BLDA is only proposed to cope with vector input samples. When facing with two-dimensional (2D) inp...
[ { "created": "Wed, 11 Nov 2020 01:56:42 GMT", "version": "v1" } ]
2020-11-12
[ [ "Guo", "Yan-Ru", "" ], [ "Bai", "Yan-Qin", "" ], [ "Li", "Chun-Na", "" ], [ "Bai", "Lan", "" ], [ "Shao", "Yuan-Hai", "" ] ]
Recently proposed L2-norm linear discriminant analysis criterion via the Bhattacharyya error bound estimation (L2BLDA) is an effective improvement of linear discriminant analysis (LDA) for feature extraction. However, L2BLDA is only proposed to cope with vector input samples. When facing with two-dimensional (2D) input...
2310.20212
Yuan Wei
Zhiyuan Wei, Jing Sun, Zijian Zhang, Xianhao Zhang, Meng Li, Liehuang Zhu
A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts
24 pages, 6 figure, IEEE Communications Surveys & Tutorials
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
Blockchain smart contracts have emerged as a transformative force in the digital realm, spawning a diverse range of compelling applications. Since solidity smart contracts across various domains manage trillions of dollars in virtual coins, they become a prime target for attacks. One of the primary challenges is keep...
[ { "created": "Tue, 31 Oct 2023 06:20:42 GMT", "version": "v1" }, { "created": "Wed, 1 Nov 2023 15:54:52 GMT", "version": "v2" }, { "created": "Thu, 2 Nov 2023 00:33:22 GMT", "version": "v3" } ]
2023-11-03
[ [ "Wei", "Zhiyuan", "" ], [ "Sun", "Jing", "" ], [ "Zhang", "Zijian", "" ], [ "Zhang", "Xianhao", "" ], [ "Li", "Meng", "" ], [ "Zhu", "Liehuang", "" ] ]
Blockchain smart contracts have emerged as a transformative force in the digital realm, spawning a diverse range of compelling applications. Since solidity smart contracts across various domains manage trillions of dollars in virtual coins, they become a prime target for attacks. One of the primary challenges is keepin...
2206.01202
Chieh Hubert Lin
Chieh Hubert Lin, Hsin-Ying Lee, Hung-Yu Tseng, Maneesh Singh, Ming-Hsuan Yang
Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features
null
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent studies show that paddings in convolutional neural networks encode absolute position information which can negatively affect the model performance for certain tasks. However, existing metrics for quantifying the strength of positional information remain unreliable and frequently lead to erroneous results. To a...
[ { "created": "Thu, 2 Jun 2022 17:59:57 GMT", "version": "v1" } ]
2022-06-03
[ [ "Lin", "Chieh Hubert", "" ], [ "Lee", "Hsin-Ying", "" ], [ "Tseng", "Hung-Yu", "" ], [ "Singh", "Maneesh", "" ], [ "Yang", "Ming-Hsuan", "" ] ]
Recent studies show that paddings in convolutional neural networks encode absolute position information which can negatively affect the model performance for certain tasks. However, existing metrics for quantifying the strength of positional information remain unreliable and frequently lead to erroneous results. To add...
1011.3571
Kristina Lerman
Rumi Ghosh and Kristina Lerman
A Framework for Quantitative Analysis of Cascades on Networks
In Proceedings of 4th ACM Conference on Web Search and Data Mining
null
null
null
cs.SI cs.CY physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
How does information flow in online social networks? How does the structure and size of the information cascade evolve in time? How can we efficiently mine the information contained in cascade dynamics? We approach these questions empirically and present an efficient and scalable mathematical framework for quantitati...
[ { "created": "Tue, 16 Nov 2010 01:54:16 GMT", "version": "v1" }, { "created": "Wed, 17 Nov 2010 20:14:51 GMT", "version": "v2" } ]
2010-11-18
[ [ "Ghosh", "Rumi", "" ], [ "Lerman", "Kristina", "" ] ]
How does information flow in online social networks? How does the structure and size of the information cascade evolve in time? How can we efficiently mine the information contained in cascade dynamics? We approach these questions empirically and present an efficient and scalable mathematical framework for quantitative...
1403.5315
Emrah Akyol
Mustafa Mehmetoglu, Emrah Akyol, Kenneth Rose
A Deterministic Annealing Optimization Approach for Witsenhausen's and Related Decentralized Control Settings
submitted to CDC'14
null
null
null
cs.SY cs.IT math.IT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies the problem of mapping optimization in decentralized control problems. A global optimization algorithm is proposed based on the ideas of ``deterministic annealing" - a powerful non-convex optimization framework derived from information theoretic principles with analogies to statistical physics. The...
[ { "created": "Thu, 20 Mar 2014 22:15:24 GMT", "version": "v1" } ]
2014-03-24
[ [ "Mehmetoglu", "Mustafa", "" ], [ "Akyol", "Emrah", "" ], [ "Rose", "Kenneth", "" ] ]
This paper studies the problem of mapping optimization in decentralized control problems. A global optimization algorithm is proposed based on the ideas of ``deterministic annealing" - a powerful non-convex optimization framework derived from information theoretic principles with analogies to statistical physics. The k...
cs/0610159
Vaneet Aggarwal
Vaneet Aggarwal, A. Robert Calderbank
Boolean Functions, Projection Operators and Quantum Error Correcting Codes
Submitted to IEEE Transactions on Information Theory, October 2006, to appear in IEEE Transactions on Information Theory, 2008
IEEE Trans. Inf. Theory, vol. 54, no. 4, pp.1700-1707, Apr. 2008.
10.1109/TIT.2008.917720
null
cs.IT math.IT quant-ph
null
This paper describes a fundamental correspondence between Boolean functions and projection operators in Hilbert space. The correspondence is widely applicable, and it is used in this paper to provide a common mathematical framework for the design of both additive and non-additive quantum error correcting codes. The n...
[ { "created": "Fri, 27 Oct 2006 16:50:41 GMT", "version": "v1" }, { "created": "Thu, 1 Mar 2007 20:58:22 GMT", "version": "v2" }, { "created": "Mon, 24 Sep 2007 13:20:15 GMT", "version": "v3" } ]
2009-04-14
[ [ "Aggarwal", "Vaneet", "" ], [ "Calderbank", "A. Robert", "" ] ]
This paper describes a fundamental correspondence between Boolean functions and projection operators in Hilbert space. The correspondence is widely applicable, and it is used in this paper to provide a common mathematical framework for the design of both additive and non-additive quantum error correcting codes. The new...
2303.13126
Jing Zhao
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wenjing Yang
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models
Accepted by ICCV 2023
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The advent of open-source AI communities has produced a cornucopia of powerful text-guided diffusion models that are trained on various datasets. While few explorations have been conducted on ensembling such models to combine their strengths. In this work, we propose a simple yet effective method called Saliency-awar...
[ { "created": "Thu, 23 Mar 2023 09:30:39 GMT", "version": "v1" }, { "created": "Sat, 25 Mar 2023 14:38:16 GMT", "version": "v2" }, { "created": "Fri, 14 Jul 2023 09:36:35 GMT", "version": "v3" } ]
2023-07-20
[ [ "Zhao", "Jing", "" ], [ "Zheng", "Heliang", "" ], [ "Wang", "Chaoyue", "" ], [ "Lan", "Long", "" ], [ "Yang", "Wenjing", "" ] ]
The advent of open-source AI communities has produced a cornucopia of powerful text-guided diffusion models that are trained on various datasets. While few explorations have been conducted on ensembling such models to combine their strengths. In this work, we propose a simple yet effective method called Saliency-aware ...
2212.00881
Saeed Mohammadzadeh
Saeed Mohammadzadeh, Peerasait Prachaseree, Emma Lejeune
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics
21 pages, 9 figures
null
null
null
cs.LG physics.data-an
http://creativecommons.org/licenses/by-sa/4.0/
Recently, there has been a growing interest in applying machine learning methods to problems in engineering mechanics. In particular, there has been significant interest in applying deep learning techniques to predicting the mechanical behavior of heterogeneous materials and structures. Researchers have shown that de...
[ { "created": "Thu, 1 Dec 2022 21:39:48 GMT", "version": "v1" }, { "created": "Tue, 14 Mar 2023 17:22:41 GMT", "version": "v2" } ]
2023-03-15
[ [ "Mohammadzadeh", "Saeed", "" ], [ "Prachaseree", "Peerasait", "" ], [ "Lejeune", "Emma", "" ] ]
Recently, there has been a growing interest in applying machine learning methods to problems in engineering mechanics. In particular, there has been significant interest in applying deep learning techniques to predicting the mechanical behavior of heterogeneous materials and structures. Researchers have shown that deep...
2102.09086
Robi Bhattacharjee
Robi Bhattacharjee and Kamalika Chaudhuri
Consistent Non-Parametric Methods for Maximizing Robustness
accepted to Nuerips 2021
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Learning classifiers that are robust to adversarial examples has received a great deal of recent attention. A major drawback of the standard robust learning framework is there is an artificial robustness radius $r$ that applies to all inputs. This ignores the fact that data may be highly heterogeneous, in which case ...
[ { "created": "Thu, 18 Feb 2021 00:44:07 GMT", "version": "v1" }, { "created": "Mon, 8 Nov 2021 04:14:49 GMT", "version": "v2" }, { "created": "Wed, 18 Jan 2023 18:02:20 GMT", "version": "v3" } ]
2023-01-19
[ [ "Bhattacharjee", "Robi", "" ], [ "Chaudhuri", "Kamalika", "" ] ]
Learning classifiers that are robust to adversarial examples has received a great deal of recent attention. A major drawback of the standard robust learning framework is there is an artificial robustness radius $r$ that applies to all inputs. This ignores the fact that data may be highly heterogeneous, in which case it...
2310.13583
Ofir Arviv
Ofir Arviv, Dmitry Nikolaev, Taelin Karidi and Omri Abend
Improving Cross-Lingual Transfer through Subtree-Aware Word Reordering
Accepted to EMNLP Findings 2023
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite the impressive growth of the abilities of multilingual language models, such as XLM-R and mT5, it has been shown that they still face difficulties when tackling typologically-distant languages, particularly in the low-resource setting. One obstacle for effective cross-lingual transfer is variability in word-o...
[ { "created": "Fri, 20 Oct 2023 15:25:53 GMT", "version": "v1" } ]
2023-10-23
[ [ "Arviv", "Ofir", "" ], [ "Nikolaev", "Dmitry", "" ], [ "Karidi", "Taelin", "" ], [ "Abend", "Omri", "" ] ]
Despite the impressive growth of the abilities of multilingual language models, such as XLM-R and mT5, it has been shown that they still face difficulties when tackling typologically-distant languages, particularly in the low-resource setting. One obstacle for effective cross-lingual transfer is variability in word-ord...
2008.08931
Liyi Guo
Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction
null
CIKM 2020, Virtual Event, Ireland
10.1145/3340531.3412681
null
cs.SI cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For e-commerce platforms such as Taobao and Amazon, advertisers play an important role in the entire digital ecosystem: their behaviors explicitly influence users' browsing and shopping experience; more importantly, advertiser's expenditure on advertising constitutes a primary source of platform revenue. Therefore, p...
[ { "created": "Thu, 20 Aug 2020 15:08:50 GMT", "version": "v1" } ]
2020-09-01
[ [ "Guo", "Liyi", "" ], [ "Lu", "Rui", "" ], [ "Zhang", "Haoqi", "" ], [ "Jin", "Junqi", "" ], [ "Zheng", "Zhenzhe", "" ], [ "Wu", "Fan", "" ], [ "Li", "Jin", "" ], [ "Xu", "Haiyang", "" ], ...
For e-commerce platforms such as Taobao and Amazon, advertisers play an important role in the entire digital ecosystem: their behaviors explicitly influence users' browsing and shopping experience; more importantly, advertiser's expenditure on advertising constitutes a primary source of platform revenue. Therefore, pro...
1304.3249
Paolo Parisen Toldin
Jean-Yves Moyen, Paolo Parisen Toldin
A polytime complexity analyser for Probabilistic Polynomial Time over imperative stack programs
null
null
null
null
cs.LO cs.CC
http://creativecommons.org/licenses/by/3.0/
We present iSAPP (Imperative Static Analyser for Probabilistic Polynomial Time), a complexity verifier tool that is sound and extensionally complete for the Probabilistic Polynomial Time (PP) complexity class. iSAPP works on an imperative programming language for stack machines. The certificate of polynomiality can b...
[ { "created": "Thu, 11 Apr 2013 10:20:24 GMT", "version": "v1" } ]
2013-04-12
[ [ "Moyen", "Jean-Yves", "" ], [ "Toldin", "Paolo Parisen", "" ] ]
We present iSAPP (Imperative Static Analyser for Probabilistic Polynomial Time), a complexity verifier tool that is sound and extensionally complete for the Probabilistic Polynomial Time (PP) complexity class. iSAPP works on an imperative programming language for stack machines. The certificate of polynomiality can be ...
2404.00686
Srinjoy Roy
Srinjoy Roy, Swagatam Das
Utilizing Maximum Mean Discrepancy Barycenter for Propagating the Uncertainty of Value Functions in Reinforcement Learning
We found some flaws in our analysis and we are in the process of rectifying those
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Accounting for the uncertainty of value functions boosts exploration in Reinforcement Learning (RL). Our work introduces Maximum Mean Discrepancy Q-Learning (MMD-QL) to improve Wasserstein Q-Learning (WQL) for uncertainty propagation during Temporal Difference (TD) updates. MMD-QL uses the MMD barycenter for this pur...
[ { "created": "Sun, 31 Mar 2024 13:41:56 GMT", "version": "v1" }, { "created": "Wed, 3 Apr 2024 14:32:17 GMT", "version": "v2" } ]
2024-04-04
[ [ "Roy", "Srinjoy", "" ], [ "Das", "Swagatam", "" ] ]
Accounting for the uncertainty of value functions boosts exploration in Reinforcement Learning (RL). Our work introduces Maximum Mean Discrepancy Q-Learning (MMD-QL) to improve Wasserstein Q-Learning (WQL) for uncertainty propagation during Temporal Difference (TD) updates. MMD-QL uses the MMD barycenter for this purpo...
2406.03893
Anushka Singh
Anushka Singh, Ananya B. Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M Khapra
How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages?
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
While machine translation evaluation has been studied primarily for high-resource languages, there has been a recent interest in evaluation for low-resource languages due to the increasing availability of data and models. In this paper, we focus on a zero-shot evaluation setting focusing on low-resource Indian langua...
[ { "created": "Thu, 6 Jun 2024 09:28:08 GMT", "version": "v1" } ]
2024-06-07
[ [ "Singh", "Anushka", "" ], [ "Sai", "Ananya B.", "" ], [ "Dabre", "Raj", "" ], [ "Puduppully", "Ratish", "" ], [ "Kunchukuttan", "Anoop", "" ], [ "Khapra", "Mitesh M", "" ] ]
While machine translation evaluation has been studied primarily for high-resource languages, there has been a recent interest in evaluation for low-resource languages due to the increasing availability of data and models. In this paper, we focus on a zero-shot evaluation setting focusing on low-resource Indian language...
2008.05440
Jie Yang
Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao
DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation
Accept to ACM Transaction on Graphics 2022, 26 pages
null
null
null
cs.GR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
D shape generation is a fundamental operation in computer graphics. While significant progress has been made, especially with recent deep generative models, it remains a challenge to synthesize high-quality shapes with rich geometric details and complex structure, in a controllable manner. To tackle this, we introduc...
[ { "created": "Wed, 12 Aug 2020 17:06:51 GMT", "version": "v1" }, { "created": "Fri, 14 Aug 2020 02:38:45 GMT", "version": "v2" }, { "created": "Mon, 24 May 2021 14:45:26 GMT", "version": "v3" }, { "created": "Sat, 28 May 2022 17:40:15 GMT", "version": "v4" } ]
2022-05-31
[ [ "Yang", "Jie", "" ], [ "Mo", "Kaichun", "" ], [ "Lai", "Yu-Kun", "" ], [ "Guibas", "Leonidas J.", "" ], [ "Gao", "Lin", "" ] ]
D shape generation is a fundamental operation in computer graphics. While significant progress has been made, especially with recent deep generative models, it remains a challenge to synthesize high-quality shapes with rich geometric details and complex structure, in a controllable manner. To tackle this, we introduce ...
1004.2079
Yashodhan Kanoria
Mohsen Bayati, Christian Borgs, Jennifer Chayes, Yashodhan Kanoria and Andrea Montanari
Bargaining dynamics in exchange networks
47 pages, SODA 2011, invited to Journal of Economic Theory
Proc. ACM-SIAM Symp. on Discrete Algorithms (2011) 1518-1537
null
null
cs.GT cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a one-sided assignment market or exchange network with transferable utility and propose a model for the dynamics of bargaining in such a market. Our dynamical model is local, involving iterative updates of 'offers' based on estimated best alternative matches, in the spirit of pairwise Nash bargaining. We ...
[ { "created": "Mon, 12 Apr 2010 23:11:16 GMT", "version": "v1" }, { "created": "Tue, 6 Dec 2011 19:40:38 GMT", "version": "v2" } ]
2015-03-14
[ [ "Bayati", "Mohsen", "" ], [ "Borgs", "Christian", "" ], [ "Chayes", "Jennifer", "" ], [ "Kanoria", "Yashodhan", "" ], [ "Montanari", "Andrea", "" ] ]
We consider a one-sided assignment market or exchange network with transferable utility and propose a model for the dynamics of bargaining in such a market. Our dynamical model is local, involving iterative updates of 'offers' based on estimated best alternative matches, in the spirit of pairwise Nash bargaining. We es...
2208.04159
Ningning Wang
Ningning Wang, Guodong Li, Sihuang Hu, Min Ye
Constructing MSR codes with subpacketization $2^{n/3}$ for $k+1$ helper nodes
null
IEEE Transactions on Information Theory (Volume: 69, Issue: 6, June 2023)
10.1109/TIT.2023.3238759
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Wang et al. (IEEE Transactions on Information Theory, vol. 62, no. 8, 2016) proposed an explicit construction of an $(n=k+2,k)$ Minimum Storage Regenerating (MSR) code with $2$ parity nodes and subpacketization $2^{k/3}$. The number of helper nodes for this code is $d=k+1=n-1$, and this code has the smallest subpacke...
[ { "created": "Mon, 8 Aug 2022 13:59:11 GMT", "version": "v1" }, { "created": "Thu, 11 May 2023 14:58:30 GMT", "version": "v2" } ]
2023-05-23
[ [ "Wang", "Ningning", "" ], [ "Li", "Guodong", "" ], [ "Hu", "Sihuang", "" ], [ "Ye", "Min", "" ] ]
Wang et al. (IEEE Transactions on Information Theory, vol. 62, no. 8, 2016) proposed an explicit construction of an $(n=k+2,k)$ Minimum Storage Regenerating (MSR) code with $2$ parity nodes and subpacketization $2^{k/3}$. The number of helper nodes for this code is $d=k+1=n-1$, and this code has the smallest subpacketi...
2002.04095
Juan-Manuel Torres-Moreno
R\'emy Saksik, Alejandro Molina-Villegas, Andr\'ea Carneiro Linhares, Juan-Manuel Torres-Moreno
Automatic Discourse Segmentation: an evaluation in French
7 pages, 2 figures, 2 tables
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this article, we describe some discursive segmentation methods as well as a preliminary evaluation of the segmentation quality. Although our experiment were carried for documents in French, we have developed three discursive segmentation models solely based on resources simultaneously available in several language...
[ { "created": "Mon, 10 Feb 2020 21:35:39 GMT", "version": "v1" }, { "created": "Thu, 11 Jun 2020 20:27:29 GMT", "version": "v2" } ]
2020-06-15
[ [ "Saksik", "Rémy", "" ], [ "Molina-Villegas", "Alejandro", "" ], [ "Linhares", "Andréa Carneiro", "" ], [ "Torres-Moreno", "Juan-Manuel", "" ] ]
In this article, we describe some discursive segmentation methods as well as a preliminary evaluation of the segmentation quality. Although our experiment were carried for documents in French, we have developed three discursive segmentation models solely based on resources simultaneously available in several languages:...
0907.4547
EPTCS
Janusz Brzozowski
Quotient Complexity of Regular Languages
null
EPTCS 3, 2009, pp. 17-28
10.4204/EPTCS.3.2
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The past research on the state complexity of operations on regular languages is examined, and a new approach based on an old method (derivatives of regular expressions) is presented. Since state complexity is a property of a language, it is appropriate to define it in formal-language terms as the number of distinct q...
[ { "created": "Mon, 27 Jul 2009 06:19:09 GMT", "version": "v1" } ]
2009-07-28
[ [ "Brzozowski", "Janusz", "" ] ]
The past research on the state complexity of operations on regular languages is examined, and a new approach based on an old method (derivatives of regular expressions) is presented. Since state complexity is a property of a language, it is appropriate to define it in formal-language terms as the number of distinct quo...
1912.02858
Victor Lecomte
Victor Lecomte and Omri Weinstein
Settling the relationship between Wilber's bounds for dynamic optimality
ESA 2020; 25 pages, 18 figures; v3 applies reviewers' comments
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In FOCS 1986, Wilber proposed two combinatorial lower bounds on the operational cost of any binary search tree (BST) for a given access sequence $X \in [n]^m$. Both bounds play a central role in the ongoing pursuit of the dynamic optimality conjecture (Sleator and Tarjan, 1985), but their relationship remained unknow...
[ { "created": "Thu, 5 Dec 2019 20:17:15 GMT", "version": "v1" }, { "created": "Thu, 12 Dec 2019 20:49:57 GMT", "version": "v2" }, { "created": "Sun, 28 Jun 2020 20:51:41 GMT", "version": "v3" } ]
2020-06-30
[ [ "Lecomte", "Victor", "" ], [ "Weinstein", "Omri", "" ] ]
In FOCS 1986, Wilber proposed two combinatorial lower bounds on the operational cost of any binary search tree (BST) for a given access sequence $X \in [n]^m$. Both bounds play a central role in the ongoing pursuit of the dynamic optimality conjecture (Sleator and Tarjan, 1985), but their relationship remained unknown ...
2110.04946
Hieu-Thi Luong
Hieu-Thi Luong, Junichi Yamagishi
LaughNet: synthesizing laughter utterances from waveform silhouettes and a single laughter example
null
null
null
null
cs.SD cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Emotional and controllable speech synthesis is a topic that has received much attention. However, most studies focused on improving the expressiveness and controllability in the context of linguistic content, even though natural verbal human communication is inseparable from spontaneous non-speech expressions such as...
[ { "created": "Mon, 11 Oct 2021 00:45:07 GMT", "version": "v1" }, { "created": "Wed, 26 Jan 2022 01:40:13 GMT", "version": "v2" } ]
2022-01-27
[ [ "Luong", "Hieu-Thi", "" ], [ "Yamagishi", "Junichi", "" ] ]
Emotional and controllable speech synthesis is a topic that has received much attention. However, most studies focused on improving the expressiveness and controllability in the context of linguistic content, even though natural verbal human communication is inseparable from spontaneous non-speech expressions such as l...
2006.03179
Garrett Bingham
Garrett Bingham and Risto Miikkulainen
Discovering Parametric Activation Functions
Published in Neural Networks. 34 pages, 10 figures, 11 tables
Neural Networks, Volume 148, 2022, Pages 48-65, ISSN 0893-6080
10.1016/j.neunet.2022.01.001
null
cs.LG cs.CV cs.NE stat.ML
http://creativecommons.org/licenses/by-nc-nd/4.0/
Recent studies have shown that the choice of activation function can significantly affect the performance of deep learning networks. However, the benefits of novel activation functions have been inconsistent and task dependent, and therefore the rectified linear unit (ReLU) is still the most commonly used. This paper...
[ { "created": "Fri, 5 Jun 2020 00:25:33 GMT", "version": "v1" }, { "created": "Tue, 6 Oct 2020 15:33:14 GMT", "version": "v2" }, { "created": "Tue, 8 Dec 2020 19:28:47 GMT", "version": "v3" }, { "created": "Sat, 30 Jan 2021 02:17:20 GMT", "version": "v4" }, { "crea...
2022-01-25
[ [ "Bingham", "Garrett", "" ], [ "Miikkulainen", "Risto", "" ] ]
Recent studies have shown that the choice of activation function can significantly affect the performance of deep learning networks. However, the benefits of novel activation functions have been inconsistent and task dependent, and therefore the rectified linear unit (ReLU) is still the most commonly used. This paper p...
1410.0382
Mircea Andrecut Dr
M. Andrecut
A String-Based Public Key Cryptosystem
In this revised version of the paper we show that the eavesdropper's problem of the proposed cryptosystem has a solution, and we give the details of the solution
null
null
null
cs.CR physics.data-an
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional methods in public key cryptography are based on number theory, and suffer from problems such as dealing with very large numbers, making key creation cumbersome. Here, we propose a new public key cryptosystem based on strings only, which avoids the difficulties of the traditional number theory approach. Th...
[ { "created": "Fri, 5 Sep 2014 18:44:31 GMT", "version": "v1" }, { "created": "Mon, 19 Jan 2015 18:53:35 GMT", "version": "v2" } ]
2015-01-20
[ [ "Andrecut", "M.", "" ] ]
Traditional methods in public key cryptography are based on number theory, and suffer from problems such as dealing with very large numbers, making key creation cumbersome. Here, we propose a new public key cryptosystem based on strings only, which avoids the difficulties of the traditional number theory approach. The ...
2210.10226
Zillur Rahman
Zillur Rahman, Amit Mazumder Ami, Muhammad Ahsan Ullah
A Real-Time Wrong-Way Vehicle Detection Based on YOLO and Centroid Tracking
5 pages
2020 IEEE Region 10 Symposium (TENSYMP), page:916-920
10.1109/TENSYMP50017.2020.9230463
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Wrong-way driving is one of the main causes of road accidents and traffic jam all over the world. By detecting wrong-way vehicles, the number of accidents can be minimized and traffic jam can be reduced. With the increasing popularity of real-time traffic management systems and due to the availability of cheaper came...
[ { "created": "Wed, 19 Oct 2022 00:53:28 GMT", "version": "v1" } ]
2022-10-20
[ [ "Rahman", "Zillur", "" ], [ "Ami", "Amit Mazumder", "" ], [ "Ullah", "Muhammad Ahsan", "" ] ]
Wrong-way driving is one of the main causes of road accidents and traffic jam all over the world. By detecting wrong-way vehicles, the number of accidents can be minimized and traffic jam can be reduced. With the increasing popularity of real-time traffic management systems and due to the availability of cheaper camera...
2202.13134
Fu Song
Qi Qin and JulianAndres JiYang and Fu Song and Taolue Chen and Xinyu Xing
Preventing Timing Side-Channels via Security-Aware Just-In-Time Compilation
null
null
null
null
cs.PL cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent work has shown that Just-In-Time (JIT) compilation can introduce timing side-channels to constant-time programs, which would otherwise be a principled and effective means to counter timing attacks. In this paper, we propose a novel approach to eliminate JIT-induced leaks from these programs. Specifically, we p...
[ { "created": "Sat, 26 Feb 2022 13:06:15 GMT", "version": "v1" } ]
2022-03-01
[ [ "Qin", "Qi", "" ], [ "JiYang", "JulianAndres", "" ], [ "Song", "Fu", "" ], [ "Chen", "Taolue", "" ], [ "Xing", "Xinyu", "" ] ]
Recent work has shown that Just-In-Time (JIT) compilation can introduce timing side-channels to constant-time programs, which would otherwise be a principled and effective means to counter timing attacks. In this paper, we propose a novel approach to eliminate JIT-induced leaks from these programs. Specifically, we pre...
1703.09807
Nhien-An Le-Khac
Lamine M. Aouad, Nhien-An Le-Khac, Tahar Kechadi
Grid-based Approaches for Distributed Data Mining Applications
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The data mining field is an important source of large-scale applications and datasets which are getting more and more common. In this paper, we present grid-based approaches for two basic data mining applications, and a performance evaluation on an experimental grid environment that provides interesting monitoring ca...
[ { "created": "Tue, 28 Mar 2017 21:19:24 GMT", "version": "v1" } ]
2017-03-30
[ [ "Aouad", "Lamine M.", "" ], [ "Le-Khac", "Nhien-An", "" ], [ "Kechadi", "Tahar", "" ] ]
The data mining field is an important source of large-scale applications and datasets which are getting more and more common. In this paper, we present grid-based approaches for two basic data mining applications, and a performance evaluation on an experimental grid environment that provides interesting monitoring capa...
1605.06154
Michael Nelson
Herbert Van de Sompel, David S. H. Rosenthal, Michael L. Nelson
Web Infrastructure to Support e-Journal Preservation (and More)
23 pages, 5 figures
null
null
null
cs.DL
http://creativecommons.org/licenses/by/4.0/
E-journal preservation systems have to ingest millions of articles each year. Ingest, especially of the "long tail" of journals from small publishers, is the largest element of their cost. Cost is the major reason that archives contain less than half the content they should. Automation is essential to minimize these ...
[ { "created": "Thu, 19 May 2016 21:44:01 GMT", "version": "v1" } ]
2016-05-23
[ [ "Van de Sompel", "Herbert", "" ], [ "Rosenthal", "David S. H.", "" ], [ "Nelson", "Michael L.", "" ] ]
E-journal preservation systems have to ingest millions of articles each year. Ingest, especially of the "long tail" of journals from small publishers, is the largest element of their cost. Cost is the major reason that archives contain less than half the content they should. Automation is essential to minimize these co...
1802.01448
Deepak Vijaykeerthy
Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, Ponnurangam Kumaraguru
Hardening Deep Neural Networks via Adversarial Model Cascades
null
null
null
null
cs.LG cs.CR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks (DNNs) are vulnerable to malicious inputs crafted by an adversary to produce erroneous outputs. Works on securing neural networks against adversarial examples achieve high empirical robustness on simple datasets such as MNIST. However, these techniques are inadequate when empirically tested on co...
[ { "created": "Fri, 2 Feb 2018 09:02:38 GMT", "version": "v1" }, { "created": "Tue, 6 Feb 2018 16:38:56 GMT", "version": "v2" }, { "created": "Mon, 12 Feb 2018 06:28:25 GMT", "version": "v3" }, { "created": "Sun, 4 Nov 2018 11:16:23 GMT", "version": "v4" } ]
2018-11-06
[ [ "Vijaykeerthy", "Deepak", "" ], [ "Suri", "Anshuman", "" ], [ "Mehta", "Sameep", "" ], [ "Kumaraguru", "Ponnurangam", "" ] ]
Deep neural networks (DNNs) are vulnerable to malicious inputs crafted by an adversary to produce erroneous outputs. Works on securing neural networks against adversarial examples achieve high empirical robustness on simple datasets such as MNIST. However, these techniques are inadequate when empirically tested on comp...
1908.02999
Fabian Schilling
Fabian Schilling and Julien Lecoeur and Fabrizio Schiano and Dario Floreano
Learning Vision-based Flight in Drone Swarms by Imitation
8 pages, 8 figures, accepted for publication in the IEEE Robotics and Automation Letters (RA-L) on July 28, 2019. arXiv admin note: substantial text overlap with arXiv:1809.00543
null
null
null
cs.RO cs.CV cs.LG cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Decentralized drone swarms deployed today either rely on sharing of positions among agents or detecting swarm members with the help of visual markers. This work proposes an entirely visual approach to coordinate markerless drone swarms based on imitation learning. Each agent is controlled by a small and efficient con...
[ { "created": "Thu, 8 Aug 2019 10:19:48 GMT", "version": "v1" } ]
2019-08-09
[ [ "Schilling", "Fabian", "" ], [ "Lecoeur", "Julien", "" ], [ "Schiano", "Fabrizio", "" ], [ "Floreano", "Dario", "" ] ]
Decentralized drone swarms deployed today either rely on sharing of positions among agents or detecting swarm members with the help of visual markers. This work proposes an entirely visual approach to coordinate markerless drone swarms based on imitation learning. Each agent is controlled by a small and efficient convo...
1911.11547
Dat Quoc Nguyen
Dai Quoc Nguyen, Dat Quoc Nguyen, Son Bao Pham
A Vietnamese Text-Based Conversational Agent
In Proceedings of the 25th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2012)
null
10.1007/978-3-642-31087-4_71
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a Vietnamese text-based conversational agent architecture on specific knowledge domain which is integrated in a question answering system. When the question answering system fails to provide answers to users' input, our conversational agent can step in to interact with users to provide answers t...
[ { "created": "Tue, 26 Nov 2019 14:11:50 GMT", "version": "v1" } ]
2019-11-27
[ [ "Nguyen", "Dai Quoc", "" ], [ "Nguyen", "Dat Quoc", "" ], [ "Pham", "Son Bao", "" ] ]
This paper introduces a Vietnamese text-based conversational agent architecture on specific knowledge domain which is integrated in a question answering system. When the question answering system fails to provide answers to users' input, our conversational agent can step in to interact with users to provide answers to ...
1312.0525
Kiryung Lee
Kiryung Lee, Yihong Wu, and Yoram Bresler
Near Optimal Compressed Sensing of a Class of Sparse Low-Rank Matrices via Sparse Power Factorization
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Compressed sensing of simultaneously sparse and low-rank matrices enables recovery of sparse signals from a few linear measurements of their bilinear form. One important question is how many measurements are needed for a stable reconstruction in the presence of measurement noise. Unlike conventional compressed sensin...
[ { "created": "Mon, 2 Dec 2013 17:37:00 GMT", "version": "v1" }, { "created": "Thu, 30 Jun 2016 02:43:34 GMT", "version": "v2" } ]
2016-07-01
[ [ "Lee", "Kiryung", "" ], [ "Wu", "Yihong", "" ], [ "Bresler", "Yoram", "" ] ]
Compressed sensing of simultaneously sparse and low-rank matrices enables recovery of sparse signals from a few linear measurements of their bilinear form. One important question is how many measurements are needed for a stable reconstruction in the presence of measurement noise. Unlike conventional compressed sensing ...
2011.07200
Yingtao Luo
Ziyang Zhang and Yingtao Luo
Deep Spatial Learning with Molecular Vibration
NeurIPS 2020 Machine Learning for Molecules Workshop, Vancouver, Canada
null
null
null
cs.LG physics.chem-ph
http://creativecommons.org/licenses/by/4.0/
Machine learning over-fitting caused by data scarcity greatly limits the application of machine learning for molecules. Due to manufacturing processes difference, big data is not always rendered available through computational chemistry methods for some tasks, causing data scarcity problem for machine learning algori...
[ { "created": "Sat, 14 Nov 2020 02:46:43 GMT", "version": "v1" } ]
2020-11-20
[ [ "Zhang", "Ziyang", "" ], [ "Luo", "Yingtao", "" ] ]
Machine learning over-fitting caused by data scarcity greatly limits the application of machine learning for molecules. Due to manufacturing processes difference, big data is not always rendered available through computational chemistry methods for some tasks, causing data scarcity problem for machine learning algorith...
2001.00522
Na-Young Ahn
Na-Young Ahn, Dong Hoon Lee
Schemes for Privacy Data Destruction in a NAND Flash Memory
Pages 181305 - 181313
null
10.1109/ACCESS.2019.2958628
null
cs.CR cs.SY eess.SP eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose schemes for efficiently destroying privacy data in a NAND flash memory. Generally, even if privcy data is discarded from NAND flash memories, there is a high probability that the data will remain in an invalid block. This is a management problem that arises from the specificity of a program operation and a...
[ { "created": "Sat, 28 Dec 2019 03:52:02 GMT", "version": "v1" } ]
2020-11-20
[ [ "Ahn", "Na-Young", "" ], [ "Lee", "Dong Hoon", "" ] ]
We propose schemes for efficiently destroying privacy data in a NAND flash memory. Generally, even if privcy data is discarded from NAND flash memories, there is a high probability that the data will remain in an invalid block. This is a management problem that arises from the specificity of a program operation and an ...
2301.04696
Joberto Martins Prof. Dr.
Eduardo S. Xavier and Nazim Agoulmine and Joberto S. B. Martins
On Modeling Network Slicing Communication Resources with SARSA Optimization
8 pages, 9 figures, ADVANCE conference paper
null
10.5281/zenodo.7513695
null
cs.NI cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Network slicing is a crucial enabler to support the composition and deployment of virtual network infrastructures required by the dynamic behavior of networks like 5G/6G mobile networks, IoT-aware networks, e-health systems, and industry verticals like the internet of vehicles (IoV) and industry 4.0. The communicatio...
[ { "created": "Wed, 11 Jan 2023 20:00:42 GMT", "version": "v1" } ]
2023-01-13
[ [ "Xavier", "Eduardo S.", "" ], [ "Agoulmine", "Nazim", "" ], [ "Martins", "Joberto S. B.", "" ] ]
Network slicing is a crucial enabler to support the composition and deployment of virtual network infrastructures required by the dynamic behavior of networks like 5G/6G mobile networks, IoT-aware networks, e-health systems, and industry verticals like the internet of vehicles (IoV) and industry 4.0. The communication ...
2107.02378
Jun Shu
Jun Shu, Deyu Meng, Zongben Xu
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks
74 pages
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Meta learning has attracted much attention recently in machine learning community. Contrary to conventional machine learning aiming to learn inherent prediction rules to predict labels for new query data, meta learning aims to learn the learning methodology for machine learning from observed tasks, so as to generaliz...
[ { "created": "Tue, 6 Jul 2021 04:05:08 GMT", "version": "v1" }, { "created": "Sat, 13 May 2023 09:41:42 GMT", "version": "v2" }, { "created": "Sat, 1 Jul 2023 09:27:29 GMT", "version": "v3" } ]
2023-07-04
[ [ "Shu", "Jun", "" ], [ "Meng", "Deyu", "" ], [ "Xu", "Zongben", "" ] ]
Meta learning has attracted much attention recently in machine learning community. Contrary to conventional machine learning aiming to learn inherent prediction rules to predict labels for new query data, meta learning aims to learn the learning methodology for machine learning from observed tasks, so as to generalize ...
1709.08360
Jiaqi Zhang
Jiaqi Zhang, Keyou You, and Tamer Ba\c{s}ar
Distributed Discrete-time Optimization in Multi-agent Networks Using only Sign of Relative State
Part of this work has been presented in American Control Conference (ACC) 2018, first version posted on arxiv on Sep. 2017, IEEE Transactions on Automatic Control, 2018
null
10.1109/TAC.2018.2884998
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes distributed discrete-time algorithms to cooperatively solve an additive cost optimization problem in multi-agent networks. The striking feature lies in the use of only the sign of relative state information between neighbors, which substantially differentiates our algorithms from others in the exi...
[ { "created": "Mon, 25 Sep 2017 08:05:04 GMT", "version": "v1" }, { "created": "Thu, 2 Nov 2017 16:17:55 GMT", "version": "v2" }, { "created": "Mon, 10 Dec 2018 07:01:54 GMT", "version": "v3" } ]
2018-12-11
[ [ "Zhang", "Jiaqi", "" ], [ "You", "Keyou", "" ], [ "Başar", "Tamer", "" ] ]
This paper proposes distributed discrete-time algorithms to cooperatively solve an additive cost optimization problem in multi-agent networks. The striking feature lies in the use of only the sign of relative state information between neighbors, which substantially differentiates our algorithms from others in the exist...
cs/0611058
Marie Cottrell
Marie Cottrell (CES, SAMOS), Michel Verleysen (DICE)
Advances in Self Organising Maps
Special Issue of the Neural Networks Journal after WSOM 05 in Paris
Neural Networks Volume 19, Issues 6-7 (2006) 721-722
10.1016/j.neunet.2006.05.011
null
cs.NE math.ST nlin.AO stat.TH
null
The Self-Organizing Map (SOM) with its related extensions is the most popular artificial neural algorithm for use in unsupervised learning, clustering, classification and data visualization. Over 5,000 publications have been reported in the open literature, and many commercial projects employ the SOM as a tool for so...
[ { "created": "Tue, 14 Nov 2006 13:19:46 GMT", "version": "v1" } ]
2011-11-09
[ [ "Cottrell", "Marie", "", "CES, SAMOS" ], [ "Verleysen", "Michel", "", "DICE" ] ]
The Self-Organizing Map (SOM) with its related extensions is the most popular artificial neural algorithm for use in unsupervised learning, clustering, classification and data visualization. Over 5,000 publications have been reported in the open literature, and many commercial projects employ the SOM as a tool for solv...
2005.00198
EPTCS
Artjoms {\v{S}}inkarovs (Heriot-Watt University)
Multi-dimensional Arrays with Levels
In Proceedings MSFP 2020, arXiv:2004.14735
EPTCS 317, 2020, pp. 57-71
10.4204/EPTCS.317.4
null
cs.DS cs.LO cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We explore a data structure that generalises rectangular multi-dimensional arrays. The shape of an n-dimensional array is typically given by a tuple of n natural numbers. Each element in that tuple defines the length of the corresponding axis. If we treat this tuple as an array, the shape of that array is described b...
[ { "created": "Fri, 1 May 2020 03:42:41 GMT", "version": "v1" } ]
2020-05-04
[ [ "{Š}inkarovs", "Artjoms", "", "Heriot-Watt University" ] ]
We explore a data structure that generalises rectangular multi-dimensional arrays. The shape of an n-dimensional array is typically given by a tuple of n natural numbers. Each element in that tuple defines the length of the corresponding axis. If we treat this tuple as an array, the shape of that array is described by ...
2310.02029
Gianluca Bontempi
Gianluca Bontempi
Between accurate prediction and poor decision making: the AI/ML gap
Position paper presented in the BENELEARN 2022 conference
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Intelligent agents rely on AI/ML functionalities to predict the consequence of possible actions and optimise the policy. However, the effort of the research community in addressing prediction accuracy has been so intense (and successful) that it created the illusion that the more accurate the learner prediction (or c...
[ { "created": "Tue, 3 Oct 2023 13:15:02 GMT", "version": "v1" } ]
2023-10-04
[ [ "Bontempi", "Gianluca", "" ] ]
Intelligent agents rely on AI/ML functionalities to predict the consequence of possible actions and optimise the policy. However, the effort of the research community in addressing prediction accuracy has been so intense (and successful) that it created the illusion that the more accurate the learner prediction (or cla...
2108.11717
Soroush Seifi
Soroush Seifi, Abhishek Jha, Tinne Tuytelaars
Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Active visual exploration aims to assist an agent with a limited field of view to understand its environment based on partial observations made by choosing the best viewing directions in the scene. Recent methods have tried to address this problem either by using reinforcement learning, which is difficult to train, o...
[ { "created": "Thu, 26 Aug 2021 11:41:03 GMT", "version": "v1" } ]
2021-08-27
[ [ "Seifi", "Soroush", "" ], [ "Jha", "Abhishek", "" ], [ "Tuytelaars", "Tinne", "" ] ]
Active visual exploration aims to assist an agent with a limited field of view to understand its environment based on partial observations made by choosing the best viewing directions in the scene. Recent methods have tried to address this problem either by using reinforcement learning, which is difficult to train, or ...
1401.0092
Shraddha Shinde
Shraddha S. Shinde and Prof. Anagha P. Khedkar
A Novel Approach For Generating Face Template Using Bda
11 pages, ITCSE 2013 conference
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In identity management system, commonly used biometric recognition system needs attention towards issue of biometric template protection as far as more reliable solution is concerned. In view of this biometric template protection algorithm should satisfy security, discriminability and cancelability. As no single temp...
[ { "created": "Tue, 31 Dec 2013 04:48:43 GMT", "version": "v1" } ]
2014-01-03
[ [ "Shinde", "Shraddha S.", "" ], [ "Khedkar", "Prof. Anagha P.", "" ] ]
In identity management system, commonly used biometric recognition system needs attention towards issue of biometric template protection as far as more reliable solution is concerned. In view of this biometric template protection algorithm should satisfy security, discriminability and cancelability. As no single templa...
1709.06668
Daniel Seita
Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John Canny, Ken Goldberg
Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure
Code, data, and videos are available at https://sites.google.com/view/calib-icra/. Final version for ICRA 2018
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automating precision subtasks such as debridement (removing dead or diseased tissue fragments) with Robotic Surgical Assistants (RSAs) such as the da Vinci Research Kit (dVRK) is challenging due to inherent non-linearities in cable-driven systems. We propose and evaluate a novel two-phase coarse-to-fine calibration m...
[ { "created": "Tue, 19 Sep 2017 22:51:36 GMT", "version": "v1" }, { "created": "Sat, 24 Feb 2018 08:34:58 GMT", "version": "v2" } ]
2018-02-27
[ [ "Seita", "Daniel", "" ], [ "Krishnan", "Sanjay", "" ], [ "Fox", "Roy", "" ], [ "McKinley", "Stephen", "" ], [ "Canny", "John", "" ], [ "Goldberg", "Ken", "" ] ]
Automating precision subtasks such as debridement (removing dead or diseased tissue fragments) with Robotic Surgical Assistants (RSAs) such as the da Vinci Research Kit (dVRK) is challenging due to inherent non-linearities in cable-driven systems. We propose and evaluate a novel two-phase coarse-to-fine calibration met...
2312.15608
Yupei Zhang
Yupei Zhang, Yuxin Li, Yifei Wang, Shuangshuang Wei, Yunan Xu, and Xuequn Shang
Federated learning-outcome prediction with multi-layer privacy protection
10 pages, 9 figures, 3 tables. This preprint will be published in Frontiers of Computer Science on Dec 15, 2024
Frontiers of Computer Science, 2024,18(6):186604
10.1007/s11704-023-2791-8
null
cs.LG cs.CR cs.DC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Learning-outcome prediction (LOP) is a long-standing and critical problem in educational routes. Many studies have contributed to developing effective models while often suffering from data shortage and low generalization to various institutions due to the privacy-protection issue. To this end, this study proposes a ...
[ { "created": "Mon, 25 Dec 2023 04:29:05 GMT", "version": "v1" } ]
2023-12-27
[ [ "Zhang", "Yupei", "" ], [ "Li", "Yuxin", "" ], [ "Wang", "Yifei", "" ], [ "Wei", "Shuangshuang", "" ], [ "Xu", "Yunan", "" ], [ "Shang", "Xuequn", "" ] ]
Learning-outcome prediction (LOP) is a long-standing and critical problem in educational routes. Many studies have contributed to developing effective models while often suffering from data shortage and low generalization to various institutions due to the privacy-protection issue. To this end, this study proposes a di...
2110.04683
Alexander Lin
Alexander Lin, Andrew H. Song, Demba Ba
Mixture Model Auto-Encoders: Deep Clustering through Dictionary Learning
5 pages, 3 figures
IEEE ICASSP 2022
null
null
cs.LG eess.SP
http://creativecommons.org/licenses/by/4.0/
State-of-the-art approaches for clustering high-dimensional data utilize deep auto-encoder architectures. Many of these networks require a large number of parameters and suffer from a lack of interpretability, due to the black-box nature of the auto-encoders. We introduce Mixture Model Auto-Encoders (MixMate), a nove...
[ { "created": "Sun, 10 Oct 2021 02:30:31 GMT", "version": "v1" }, { "created": "Fri, 25 Feb 2022 16:35:10 GMT", "version": "v2" } ]
2022-02-28
[ [ "Lin", "Alexander", "" ], [ "Song", "Andrew H.", "" ], [ "Ba", "Demba", "" ] ]
State-of-the-art approaches for clustering high-dimensional data utilize deep auto-encoder architectures. Many of these networks require a large number of parameters and suffer from a lack of interpretability, due to the black-box nature of the auto-encoders. We introduce Mixture Model Auto-Encoders (MixMate), a novel ...
1511.07275
Wojciech Zaremba
Wojciech Zaremba, Tomas Mikolov, Armand Joulin, Rob Fergus
Learning Simple Algorithms from Examples
null
null
null
null
cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an approach for learning simple algorithms such as copying, multi-digit addition and single digit multiplication directly from examples. Our framework consists of a set of interfaces, accessed by a controller. Typical interfaces are 1-D tapes or 2-D grids that hold the input and output data. For the contro...
[ { "created": "Mon, 23 Nov 2015 15:31:54 GMT", "version": "v1" }, { "created": "Tue, 24 Nov 2015 03:28:35 GMT", "version": "v2" } ]
2015-11-25
[ [ "Zaremba", "Wojciech", "" ], [ "Mikolov", "Tomas", "" ], [ "Joulin", "Armand", "" ], [ "Fergus", "Rob", "" ] ]
We present an approach for learning simple algorithms such as copying, multi-digit addition and single digit multiplication directly from examples. Our framework consists of a set of interfaces, accessed by a controller. Typical interfaces are 1-D tapes or 2-D grids that hold the input and output data. For the controll...
2211.13724
Ali Harakeh
Ali Harakeh, Jordan Hu, Naiqing Guan, Steven L. Waslander, and Liam Paull
Estimating Regression Predictive Distributions with Sample Networks
Accepted for publication in AAAI 2023. Example code at: https://samplenet.github.io/
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by/4.0/
Estimating the uncertainty in deep neural network predictions is crucial for many real-world applications. A common approach to model uncertainty is to choose a parametric distribution and fit the data to it using maximum likelihood estimation. The chosen parametric form can be a poor fit to the data-generating distr...
[ { "created": "Thu, 24 Nov 2022 17:23:29 GMT", "version": "v1" } ]
2022-11-28
[ [ "Harakeh", "Ali", "" ], [ "Hu", "Jordan", "" ], [ "Guan", "Naiqing", "" ], [ "Waslander", "Steven L.", "" ], [ "Paull", "Liam", "" ] ]
Estimating the uncertainty in deep neural network predictions is crucial for many real-world applications. A common approach to model uncertainty is to choose a parametric distribution and fit the data to it using maximum likelihood estimation. The chosen parametric form can be a poor fit to the data-generating distrib...
2201.01219
Sansit Patnaik
Wei Ding and Sansit Patnaik and Fabio Semperlotti
Multiscale Nonlocal Elasticity: A Distributed Order Fractional Formulation
31 pages, 9 images, 3 Tables
null
null
null
cs.CE cs.NA math.NA physics.app-ph
http://creativecommons.org/licenses/by/4.0/
This study presents a generalized multiscale nonlocal elasticity theory that leverages distributed order fractional calculus to accurately capture coexisting multiscale and nonlocal effects within a macroscopic continuum. The nonlocal multiscale behavior is captured via distributed order fractional constitutive relat...
[ { "created": "Fri, 24 Dec 2021 23:38:07 GMT", "version": "v1" } ]
2022-01-05
[ [ "Ding", "Wei", "" ], [ "Patnaik", "Sansit", "" ], [ "Semperlotti", "Fabio", "" ] ]
This study presents a generalized multiscale nonlocal elasticity theory that leverages distributed order fractional calculus to accurately capture coexisting multiscale and nonlocal effects within a macroscopic continuum. The nonlocal multiscale behavior is captured via distributed order fractional constitutive relatio...
1704.07078
Yunior Ram\'irez-Cruz
Sjouke Mauw, Yunior Ram\'irez-Cruz, Rolando Trujillo-Rasua
Rethinking $(k,\ell)$-anonymity in social graphs: $(k,\ell)$-adjacency anonymity and $(k,\ell)$-(adjacency) anonymous transformations
null
"Conditional adjacency anonymity in social graphs under active attacks", Knowledge and Information Systems 61(1):485-511, 2019
10.1007/s10115-018-1283-x
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper treats the privacy-preserving publication of social graphs in the presence of active adversaries, that is, adversaries with the ability to introduce sybil nodes in the graph prior to publication and leverage them to create unique fingerprints for a set of victim nodes and re-identify them after publication...
[ { "created": "Mon, 24 Apr 2017 08:14:03 GMT", "version": "v1" } ]
2019-09-04
[ [ "Mauw", "Sjouke", "" ], [ "Ramírez-Cruz", "Yunior", "" ], [ "Trujillo-Rasua", "Rolando", "" ] ]
This paper treats the privacy-preserving publication of social graphs in the presence of active adversaries, that is, adversaries with the ability to introduce sybil nodes in the graph prior to publication and leverage them to create unique fingerprints for a set of victim nodes and re-identify them after publication. ...
1205.3181
Sebastien Bubeck
S\'ebastien Bubeck, Tengyao Wang, Nitin Viswanathan
Multiple Identifications in Multi-Armed Bandits
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of identifying the top $m$ arms in a multi-armed bandit game. Our proposed solution relies on a new algorithm based on successive rejects of the seemingly bad arms, and successive accepts of the good ones. This algorithmic contribution allows to tackle other multiple identifications settings that...
[ { "created": "Mon, 14 May 2012 20:10:04 GMT", "version": "v1" } ]
2012-05-16
[ [ "Bubeck", "Sébastien", "" ], [ "Wang", "Tengyao", "" ], [ "Viswanathan", "Nitin", "" ] ]
We study the problem of identifying the top $m$ arms in a multi-armed bandit game. Our proposed solution relies on a new algorithm based on successive rejects of the seemingly bad arms, and successive accepts of the good ones. This algorithmic contribution allows to tackle other multiple identifications settings that w...
1509.02975
Steve Huntsman
Steve Huntsman and Arman Rezaee
De Bruijn entropy and string similarity
Extended version of a paper presented at WORDS 2015; MATLAB source code and scripts for reproducing results are included
null
null
https://nbn-resolving.org/urn:nbn:de:gbv:8:1-zs-00000305-a5
cs.DM cs.IT math.CO math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce the notion of de Bruijn entropy of an Eulerian quiver and show how the corresponding relative entropy can be applied to practical string similarity problems. This approach explicitly links the combinatorial and information-theoretical properties of words and its performance is superior to edit distances ...
[ { "created": "Wed, 9 Sep 2015 23:27:04 GMT", "version": "v1" } ]
2022-01-24
[ [ "Huntsman", "Steve", "" ], [ "Rezaee", "Arman", "" ] ]
We introduce the notion of de Bruijn entropy of an Eulerian quiver and show how the corresponding relative entropy can be applied to practical string similarity problems. This approach explicitly links the combinatorial and information-theoretical properties of words and its performance is superior to edit distances in...
1701.01491
Amina Piemontese Ph.D
Amina Piemontese, and Alexandre Graell i Amat
MDS-Coded Distributed Caching for Low Delay Wireless Content Delivery
submitted to IEEE Transactions on Communications. arXiv admin note: text overlap with arXiv:1607.00880
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the use of maximum distance separable (MDS) codes to cache popular content to reduce the download delay of wireless content delivery. In particular, we consider a cellular system where devices roam in an out of a cell according to a Poisson random process. Popular content is cached in a limited number ...
[ { "created": "Thu, 5 Jan 2017 21:59:20 GMT", "version": "v1" } ]
2017-01-09
[ [ "Piemontese", "Amina", "" ], [ "Amat", "Alexandre Graell i", "" ] ]
We investigate the use of maximum distance separable (MDS) codes to cache popular content to reduce the download delay of wireless content delivery. In particular, we consider a cellular system where devices roam in an out of a cell according to a Poisson random process. Popular content is cached in a limited number of...
1011.0298
Nayyar Mehmood
Nayyar Mehmood, Imran Haider Qureshi
Intuitionistic Fuzzy Ideal Extensions of {\Gamma}-Semigroups
Accepted, 11 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper the concept of the extensions of intuitionistic fuzzy ideals in a semigroup has been extended to a {\Gamma}-Semigroups. Among other results characterization of prime ideals in a {\Gamma}-Semigroups in terms of intuitionistic fuzzy ideal extension has been obtained.
[ { "created": "Mon, 1 Nov 2010 11:54:14 GMT", "version": "v1" } ]
2010-11-13
[ [ "Mehmood", "Nayyar", "" ], [ "Qureshi", "Imran Haider", "" ] ]
In this paper the concept of the extensions of intuitionistic fuzzy ideals in a semigroup has been extended to a {\Gamma}-Semigroups. Among other results characterization of prime ideals in a {\Gamma}-Semigroups in terms of intuitionistic fuzzy ideal extension has been obtained.
2111.03362
Moran Baruch
Moran Baruch, Nir Drucker, Lev Greenberg and Guy Moshkowich
A methodology for training homomorphicencryption friendly neural networks
null
null
10.1007/978-3-031-16815-4_29
null
cs.CR cs.LG
http://creativecommons.org/licenses/by/4.0/
Privacy-preserving deep neural network (DNN) inference is a necessity in different regulated industries such as healthcare, finance and retail. Recently, homomorphic encryption (HE) has been used as a method to enable analytics while addressing privacy concerns. HE enables secure predictions over encrypted data. Howe...
[ { "created": "Fri, 5 Nov 2021 10:04:15 GMT", "version": "v1" }, { "created": "Wed, 17 Nov 2021 08:22:48 GMT", "version": "v2" }, { "created": "Thu, 7 Jul 2022 19:22:02 GMT", "version": "v3" } ]
2023-06-13
[ [ "Baruch", "Moran", "" ], [ "Drucker", "Nir", "" ], [ "Greenberg", "Lev", "" ], [ "Moshkowich", "Guy", "" ] ]
Privacy-preserving deep neural network (DNN) inference is a necessity in different regulated industries such as healthcare, finance and retail. Recently, homomorphic encryption (HE) has been used as a method to enable analytics while addressing privacy concerns. HE enables secure predictions over encrypted data. Howeve...
1402.3613
Pavel Janovsk\'y
Pavel Janovsk\'y and Michal \v{C}\'ap and Ji\v{r}\'i Vok\v{r}\'inek
Finding Coordinated Paths for Multiple Holonomic Agents in 2-d Polygonal Environment
Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014)
null
null
null
cs.AI cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Avoiding collisions is one of the vital tasks for systems of autonomous mobile agents. We focus on the problem of finding continuous coordinated paths for multiple mobile disc agents in a 2-d environment with polygonal obstacles. The problem is PSPACE-hard, with the state space growing exponentially in the number of ...
[ { "created": "Fri, 14 Feb 2014 22:09:44 GMT", "version": "v1" } ]
2014-02-18
[ [ "Janovský", "Pavel", "" ], [ "Čáp", "Michal", "" ], [ "Vokřínek", "Jiří", "" ] ]
Avoiding collisions is one of the vital tasks for systems of autonomous mobile agents. We focus on the problem of finding continuous coordinated paths for multiple mobile disc agents in a 2-d environment with polygonal obstacles. The problem is PSPACE-hard, with the state space growing exponentially in the number of ag...
1704.06700
Ahmad Nauman Ghazi
Shoaib Bakhtyar and Ahmad Nauman Ghazi
On Improving Research Methodology Course at Blekinge Institute of Technology
Conference on Higher Education, L\"ararl\"ardom2016 Kristianstad University Press Sweden. 2016
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Research Methodology in Software Engineering and Computer Science (RM) is a compulsory course that must be studied by graduate students at Blekinge Institute of Technology (BTH) prior to undertaking their theses work. The course is focused on teaching research methods and techniques for data collection and analys...
[ { "created": "Fri, 21 Apr 2017 20:11:57 GMT", "version": "v1" } ]
2017-04-25
[ [ "Bakhtyar", "Shoaib", "" ], [ "Ghazi", "Ahmad Nauman", "" ] ]
The Research Methodology in Software Engineering and Computer Science (RM) is a compulsory course that must be studied by graduate students at Blekinge Institute of Technology (BTH) prior to undertaking their theses work. The course is focused on teaching research methods and techniques for data collection and analysis...
2305.20056
Arvind Pillai
Arvind Pillai, Subigya Nepal and Andrew Campbell
Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning
15 pages, 4 figures, CHIL 2023 (Accepted)
null
null
null
cs.LG cs.HC
http://creativecommons.org/licenses/by-nc-sa/4.0/
Rare life events significantly impact mental health, and their detection in behavioral studies is a crucial step towards health-based interventions. We envision that mobile sensing data can be used to detect these anomalies. However, the human-centered nature of the problem, combined with the infrequency and uniquene...
[ { "created": "Wed, 31 May 2023 17:29:24 GMT", "version": "v1" } ]
2023-06-01
[ [ "Pillai", "Arvind", "" ], [ "Nepal", "Subigya", "" ], [ "Campbell", "Andrew", "" ] ]
Rare life events significantly impact mental health, and their detection in behavioral studies is a crucial step towards health-based interventions. We envision that mobile sensing data can be used to detect these anomalies. However, the human-centered nature of the problem, combined with the infrequency and uniqueness...
2310.10687
Md. Imtiaz Habib
Md. Imtiaz Habib, Abdullah Al Maruf, Md. Jobair Ahmed Nabil
An Exploration Into Web Session Security- A Systematic Literature Review
9 pages, 8 sections, survey article
null
null
null
cs.SE cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The most common attacks against web sessions are reviewed in this paper, for example, some attacks against web browsers' honest users attempting to create session with trusted web browser application legally. We have assessed with four different ways to judge the viability of a certain solution by reviewing existing ...
[ { "created": "Sat, 14 Oct 2023 16:22:07 GMT", "version": "v1" } ]
2023-10-18
[ [ "Habib", "Md. Imtiaz", "" ], [ "Maruf", "Abdullah Al", "" ], [ "Nabil", "Md. Jobair Ahmed", "" ] ]
The most common attacks against web sessions are reviewed in this paper, for example, some attacks against web browsers' honest users attempting to create session with trusted web browser application legally. We have assessed with four different ways to judge the viability of a certain solution by reviewing existing se...
2005.13811
Thomas Studer
Thomas Studer
No-Go Theorems for Data Privacy
null
null
null
null
cs.LO cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Controlled query evaluation (CQE) is an approach to guarantee data privacy for database and knowledge base systems. CQE-systems feature a censor function that may distort the answer to a query in order to hide sensitive information. We introduce a high-level formalization of controlled query evaluation and define sev...
[ { "created": "Thu, 28 May 2020 07:10:37 GMT", "version": "v1" } ]
2020-05-29
[ [ "Studer", "Thomas", "" ] ]
Controlled query evaluation (CQE) is an approach to guarantee data privacy for database and knowledge base systems. CQE-systems feature a censor function that may distort the answer to a query in order to hide sensitive information. We introduce a high-level formalization of controlled query evaluation and define sever...
2302.05520
Eli Gafni professor
Eli Gafni and Vasileios Zikas
Synchrony/Asynchrony vs. Stationary/Mobile? The Latter is Superior...in Theory
null
null
null
null
cs.DS
http://creativecommons.org/publicdomain/zero/1.0/
Like Asynchrony, Mobility of faults precludes consensus. Yet, a model M in which Consensus is solvable, has an analogue relaxed model in which Consensus is not solvable and for which we can ask, whether Consensus is solvable if the system initially behaves like the relaxed analogue model, but eventually morphs into M...
[ { "created": "Fri, 10 Feb 2023 21:49:55 GMT", "version": "v1" } ]
2023-02-14
[ [ "Gafni", "Eli", "" ], [ "Zikas", "Vasileios", "" ] ]
Like Asynchrony, Mobility of faults precludes consensus. Yet, a model M in which Consensus is solvable, has an analogue relaxed model in which Consensus is not solvable and for which we can ask, whether Consensus is solvable if the system initially behaves like the relaxed analogue model, but eventually morphs into M. ...
2101.08100
Weixuan Zhang
Weixuan Zhang, Marco Tognon, Lionel Ott, Roland Siegwart, and Juan Nieto
Active Model Learning using Informative Trajectories for Improved Closed-Loop Control on Real Robots
null
null
null
null
cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by-nc-nd/4.0/
Model-based controllers on real robots require accurate knowledge of the system dynamics to perform optimally. For complex dynamics, first-principles modeling is not sufficiently precise, and data-driven approaches can be leveraged to learn a statistical model from real experiments. However, the efficient and effecti...
[ { "created": "Wed, 20 Jan 2021 12:54:26 GMT", "version": "v1" }, { "created": "Fri, 14 May 2021 13:34:39 GMT", "version": "v2" } ]
2021-05-17
[ [ "Zhang", "Weixuan", "" ], [ "Tognon", "Marco", "" ], [ "Ott", "Lionel", "" ], [ "Siegwart", "Roland", "" ], [ "Nieto", "Juan", "" ] ]
Model-based controllers on real robots require accurate knowledge of the system dynamics to perform optimally. For complex dynamics, first-principles modeling is not sufficiently precise, and data-driven approaches can be leveraged to learn a statistical model from real experiments. However, the efficient and effective...