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2401.04682
Kylliann De Santiago
Kylliann De Santiago, Marie Szafranski, Christophe Ambroise
Mixture of multilayer stochastic block models for multiview clustering
null
null
null
null
cs.LG math.ST stat.ML stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we propose an original method for aggregating multiple clustering coming from different sources of information. Each partition is encoded by a co-membership matrix between observations. Our approach uses a mixture of multilayer Stochastic Block Models (SBM) to group co-membership matrices with similar i...
[ { "created": "Tue, 9 Jan 2024 17:15:47 GMT", "version": "v1" } ]
2024-01-10
[ [ "De Santiago", "Kylliann", "" ], [ "Szafranski", "Marie", "" ], [ "Ambroise", "Christophe", "" ] ]
In this work, we propose an original method for aggregating multiple clustering coming from different sources of information. Each partition is encoded by a co-membership matrix between observations. Our approach uses a mixture of multilayer Stochastic Block Models (SBM) to group co-membership matrices with similar inf...
2008.05102
Aditya Aniruddha Shrotri
Supratik Chakraborty, Aditya A. Shrotri and Moshe Y. Vardi
On Uniformly Sampling Traces of a Transition System (Extended Version)
Extended version of paper that will appear in proceedings of International Conference on Computer-Aided Design (ICCAD '20); changed wrong text color in sec 7; added 'extended version'
null
10.1145/3400302.3415707
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A key problem in constrained random verification (CRV) concerns generation of input stimuli that result in good coverage of the system's runs in targeted corners of its behavior space. Existing CRV solutions however provide no formal guarantees on the distribution of the system's runs. In this paper, we take a first ...
[ { "created": "Wed, 12 Aug 2020 04:28:26 GMT", "version": "v1" }, { "created": "Mon, 17 Aug 2020 00:59:24 GMT", "version": "v2" } ]
2020-08-18
[ [ "Chakraborty", "Supratik", "" ], [ "Shrotri", "Aditya A.", "" ], [ "Vardi", "Moshe Y.", "" ] ]
A key problem in constrained random verification (CRV) concerns generation of input stimuli that result in good coverage of the system's runs in targeted corners of its behavior space. Existing CRV solutions however provide no formal guarantees on the distribution of the system's runs. In this paper, we take a first st...
1707.06961
Yuval Pinter
Yuval Pinter, Robert Guthrie, Jacob Eisenstein
Mimicking Word Embeddings using Subword RNNs
EMNLP 2017
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Word embeddings improve generalization over lexical features by placing each word in a lower-dimensional space, using distributional information obtained from unlabeled data. However, the effectiveness of word embeddings for downstream NLP tasks is limited by out-of-vocabulary (OOV) words, for which embeddings do not...
[ { "created": "Fri, 21 Jul 2017 16:18:10 GMT", "version": "v1" } ]
2017-07-24
[ [ "Pinter", "Yuval", "" ], [ "Guthrie", "Robert", "" ], [ "Eisenstein", "Jacob", "" ] ]
Word embeddings improve generalization over lexical features by placing each word in a lower-dimensional space, using distributional information obtained from unlabeled data. However, the effectiveness of word embeddings for downstream NLP tasks is limited by out-of-vocabulary (OOV) words, for which embeddings do not e...
1912.10202
Songgaojun Deng
Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning
Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction
17 pages, 22 figures, 5 tables
null
null
null
cs.LG cs.SI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Forecasting influenza-like illness (ILI) is of prime importance to epidemiologists and health-care providers. Early prediction of epidemic outbreaks plays a pivotal role in disease intervention and control. Most existing work has either limited long-term prediction performance or lacks a comprehensive ability to capt...
[ { "created": "Sat, 21 Dec 2019 05:28:05 GMT", "version": "v1" }, { "created": "Sun, 29 Dec 2019 03:47:33 GMT", "version": "v2" } ]
2020-01-01
[ [ "Deng", "Songgaojun", "" ], [ "Wang", "Shusen", "" ], [ "Rangwala", "Huzefa", "" ], [ "Wang", "Lijing", "" ], [ "Ning", "Yue", "" ] ]
Forecasting influenza-like illness (ILI) is of prime importance to epidemiologists and health-care providers. Early prediction of epidemic outbreaks plays a pivotal role in disease intervention and control. Most existing work has either limited long-term prediction performance or lacks a comprehensive ability to captur...
2406.06603
Chu Li
Chu Li, Pingjia Xiao, Qiping Yuan
FPN-fusion: Enhanced Linear Complexity Time Series Forecasting Model
FPN,time series,fusion. arXiv admin note: text overlap with arXiv:2401.03001 by other authors
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
This study presents a novel time series prediction model, FPN-fusion, designed with linear computational complexity, demonstrating superior predictive performance compared to DLiner without increasing parameter count or computational demands. Our model introduces two key innovations: first, a Feature Pyramid Network ...
[ { "created": "Thu, 6 Jun 2024 14:34:26 GMT", "version": "v1" } ]
2024-06-12
[ [ "Li", "Chu", "" ], [ "Xiao", "Pingjia", "" ], [ "Yuan", "Qiping", "" ] ]
This study presents a novel time series prediction model, FPN-fusion, designed with linear computational complexity, demonstrating superior predictive performance compared to DLiner without increasing parameter count or computational demands. Our model introduces two key innovations: first, a Feature Pyramid Network (F...
1310.4169
Yuan Gao
Yuan Gao, Guanrong Chen and Rosa H. M. Chan
Naming Game on Networks: Let Everyone be Both Speaker and Hearer
11 pages, 6 figures
Yuan Gao, Guanrong Chen, and Rosa H. M. Chan. Naming Game on Networks: Let Everyone be Both Speaker and Hearer. Sci. Rep. 4, 6149, (2014)
10.1038/srep06149
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To investigate how consensus is reached on a large self-organized peer-to-peer network, we extended the naming game model commonly used in language and communication to Naming Game in Groups (NGG). Differing from other existing naming game models, in NGG, everyone in the population (network) can be both speaker and h...
[ { "created": "Sat, 12 Oct 2013 08:30:42 GMT", "version": "v1" }, { "created": "Thu, 31 Oct 2013 13:20:11 GMT", "version": "v2" }, { "created": "Wed, 16 Apr 2014 03:53:18 GMT", "version": "v3" }, { "created": "Wed, 30 Jul 2014 18:10:05 GMT", "version": "v4" }, { "c...
2014-08-25
[ [ "Gao", "Yuan", "" ], [ "Chen", "Guanrong", "" ], [ "Chan", "Rosa H. M.", "" ] ]
To investigate how consensus is reached on a large self-organized peer-to-peer network, we extended the naming game model commonly used in language and communication to Naming Game in Groups (NGG). Differing from other existing naming game models, in NGG, everyone in the population (network) can be both speaker and hea...
2312.05925
Jannik Sheikh
Jannik Sheikh, Andrew Melnik, Gora Chand Nandi, Robert Haschke
Language-Conditioned Semantic Search-Based Policy for Robotic Manipulation Tasks
null
null
null
null
cs.RO cs.AI cs.CV cs.LG
http://creativecommons.org/publicdomain/zero/1.0/
Reinforcement learning and Imitation Learning approaches utilize policy learning strategies that are difficult to generalize well with just a few examples of a task. In this work, we propose a language-conditioned semantic search-based method to produce an online search-based policy from the available demonstration d...
[ { "created": "Sun, 10 Dec 2023 16:17:00 GMT", "version": "v1" } ]
2023-12-12
[ [ "Sheikh", "Jannik", "" ], [ "Melnik", "Andrew", "" ], [ "Nandi", "Gora Chand", "" ], [ "Haschke", "Robert", "" ] ]
Reinforcement learning and Imitation Learning approaches utilize policy learning strategies that are difficult to generalize well with just a few examples of a task. In this work, we propose a language-conditioned semantic search-based method to produce an online search-based policy from the available demonstration dat...
2405.14758
Daniel Halpern
Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, and Junlin Wu
Axioms for AI Alignment from Human Feedback
null
null
null
null
cs.GT cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the context of reinforcement learning from human feedback (RLHF), the reward function is generally derived from maximum likelihood estimation of a random utility model based on pairwise comparisons made by humans. The problem of learning a reward function is one of preference aggregation that, we argue, largely fa...
[ { "created": "Thu, 23 May 2024 16:29:29 GMT", "version": "v1" } ]
2024-05-24
[ [ "Ge", "Luise", "" ], [ "Halpern", "Daniel", "" ], [ "Micha", "Evi", "" ], [ "Procaccia", "Ariel D.", "" ], [ "Shapira", "Itai", "" ], [ "Vorobeychik", "Yevgeniy", "" ], [ "Wu", "Junlin", "" ] ]
In the context of reinforcement learning from human feedback (RLHF), the reward function is generally derived from maximum likelihood estimation of a random utility model based on pairwise comparisons made by humans. The problem of learning a reward function is one of preference aggregation that, we argue, largely fall...
2207.13664
Sathya Krishnan Suresh
Sathya Krishnan Suresh, Shunmugapriya P
Generic Approach to Visualization of Time Series Data
5 pages. International Conference on Engineering and Advancement in Technology-2022
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Time series is a collection of data instances that are ordered according to a time stamp. Stock prices, temperature, etc are examples of time series data in real life. Time series data are used for forecasting sales, predicting trends. Visualization is the process of visually representing data or the relationship bet...
[ { "created": "Mon, 25 Jul 2022 07:08:23 GMT", "version": "v1" }, { "created": "Wed, 24 Apr 2024 05:45:59 GMT", "version": "v2" } ]
2024-04-25
[ [ "Suresh", "Sathya Krishnan", "" ], [ "P", "Shunmugapriya", "" ] ]
Time series is a collection of data instances that are ordered according to a time stamp. Stock prices, temperature, etc are examples of time series data in real life. Time series data are used for forecasting sales, predicting trends. Visualization is the process of visually representing data or the relationship betwe...
1310.5815
Enrique Ordu\~na-Malea
Enrique Orduna-Malea and Jose-Antonio Ontalba-Ruiperez
Selective linking from social platforms to university websites: a case study of the Spanish academic system
null
Scientometrics Vol. 95, Issue 2, pp. 594-614 (2013)
10.1007/s11192-012-0851-1
null
cs.DL cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mention indicators have frequently been used in Webometric studies because they provide a powerful tool for determining the degree of visibility and impact of web resources. Among mention indicators, hypertextual links were a central part of many studies until Yahoo discontinued the linkdomain command in 2011. Select...
[ { "created": "Tue, 22 Oct 2013 06:58:30 GMT", "version": "v1" } ]
2013-10-23
[ [ "Orduna-Malea", "Enrique", "" ], [ "Ontalba-Ruiperez", "Jose-Antonio", "" ] ]
Mention indicators have frequently been used in Webometric studies because they provide a powerful tool for determining the degree of visibility and impact of web resources. Among mention indicators, hypertextual links were a central part of many studies until Yahoo discontinued the linkdomain command in 2011. Selectiv...
cs/0512043
Dirk Wagner
Dirk Wagner, John Noga
Random Walks with Anti-Correlated Steps
5 pages, 1 chart, 2 tables
null
null
null
cs.DM cs.PF
null
We conjecture the expected value of random walks with anti-correlated steps to be exactly 1. We support this conjecture with 2 plausibility arguments and experimental data. The experimental analysis includes the computation of the expected values of random walks for steps up to 22. The result shows the expected value...
[ { "created": "Sat, 10 Dec 2005 08:04:32 GMT", "version": "v1" } ]
2007-05-23
[ [ "Wagner", "Dirk", "" ], [ "Noga", "John", "" ] ]
We conjecture the expected value of random walks with anti-correlated steps to be exactly 1. We support this conjecture with 2 plausibility arguments and experimental data. The experimental analysis includes the computation of the expected values of random walks for steps up to 22. The result shows the expected value a...
1803.09090
Alexandros-Apostolos Boulogeorgos
Dimitrios S. Karas, Alexandros-Apostolos A. Boulogeorgos, and George K. Karagiannidis
Physical Layer Security in the Presence of Interference
4 pages, 5r figures
IEEE Wireless Communications Letters ( Volume: 6, Issue: 6, Dec. 2017 )
10.1109/LWC.2017.2743716
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
We evaluate and quantify the joint effect of fading and multiple interferers on the physical-layer (PHY) security of a system consisted of a base-station (BS), a legitimate user, and an eavesdropper. To this end, we present a novel closed-form expression for the secrecy outage probability, which takes into account th...
[ { "created": "Sat, 24 Mar 2018 10:53:55 GMT", "version": "v1" } ]
2018-03-28
[ [ "Karas", "Dimitrios S.", "" ], [ "Boulogeorgos", "Alexandros-Apostolos A.", "" ], [ "Karagiannidis", "George K.", "" ] ]
We evaluate and quantify the joint effect of fading and multiple interferers on the physical-layer (PHY) security of a system consisted of a base-station (BS), a legitimate user, and an eavesdropper. To this end, we present a novel closed-form expression for the secrecy outage probability, which takes into account the ...
2310.09658
Tim Schulze
Tim P. Schulze
A Generalized Extensive-Form Fictitious Play Algorithm
null
null
null
null
cs.GT cs.AI
http://creativecommons.org/licenses/by/4.0/
We introduce a simple extensive-form algorithm for finding equilibria of two-player, zero-sum games. The algorithm is realization equivalent to a generalized form of Fictitious Play. We compare its performance to that of a similar extensive-form fictitious play algorithm and a counter-factual regret minimization algo...
[ { "created": "Sat, 14 Oct 2023 20:18:49 GMT", "version": "v1" } ]
2023-10-17
[ [ "Schulze", "Tim P.", "" ] ]
We introduce a simple extensive-form algorithm for finding equilibria of two-player, zero-sum games. The algorithm is realization equivalent to a generalized form of Fictitious Play. We compare its performance to that of a similar extensive-form fictitious play algorithm and a counter-factual regret minimization algori...
1401.0180
Steve N'Guyen
Steve N'Guyen (ISIR, LPPA), Cl\'ement Moulin-Frier (INRIA Bordeaux - Sud-Ouest, GIPSA-lab), Jacques Droulez (LPPA)
Decision Making under Uncertainty: A Quasimetric Approach
null
PLoS ONE 8, 12 (2013) e83411
10.1371/journal.pone.0083411
null
cs.AI math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a new approach for solving a class of discrete decision making problems under uncertainty with positive cost. This issue concerns multiple and diverse fields such as engineering, economics, artificial intelligence, cognitive science and many others. Basically, an agent has to choose a single or series of a...
[ { "created": "Tue, 31 Dec 2013 16:56:04 GMT", "version": "v1" } ]
2014-01-03
[ [ "N'Guyen", "Steve", "", "ISIR, LPPA" ], [ "Moulin-Frier", "Clément", "", "INRIA Bordeaux -\n Sud-Ouest, GIPSA-lab" ], [ "Droulez", "Jacques", "", "LPPA" ] ]
We propose a new approach for solving a class of discrete decision making problems under uncertainty with positive cost. This issue concerns multiple and diverse fields such as engineering, economics, artificial intelligence, cognitive science and many others. Basically, an agent has to choose a single or series of act...
2002.09463
Huanyu Zhang
Huanyu Zhang, Gautam Kamath, Janardhan Kulkarni, Zhiwei Steven Wu
Privately Learning Markov Random Fields
null
null
null
null
cs.DS cs.CR cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of learning Markov Random Fields (including the prototypical example, the Ising model) under the constraint of differential privacy. Our learning goals include both structure learning, where we try to estimate the underlying graph structure of the model, as well as the harder goal of parameter...
[ { "created": "Fri, 21 Feb 2020 18:30:48 GMT", "version": "v1" }, { "created": "Fri, 14 Aug 2020 14:24:58 GMT", "version": "v2" } ]
2020-08-17
[ [ "Zhang", "Huanyu", "" ], [ "Kamath", "Gautam", "" ], [ "Kulkarni", "Janardhan", "" ], [ "Wu", "Zhiwei Steven", "" ] ]
We consider the problem of learning Markov Random Fields (including the prototypical example, the Ising model) under the constraint of differential privacy. Our learning goals include both structure learning, where we try to estimate the underlying graph structure of the model, as well as the harder goal of parameter l...
2311.02116
Qingqing Ge
Qingqing Ge, Jianxiang Yu, Zeyuan Zhao and Xiang Li
Resist Label Noise with PGM for Graph Neural Networks
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While robust graph neural networks (GNNs) have been widely studied for graph perturbation and attack, those for label noise have received significantly less attention. Most existing methods heavily rely on the label smoothness assumption to correct noisy labels, which adversely affects their performance on heterophil...
[ { "created": "Fri, 3 Nov 2023 02:47:06 GMT", "version": "v1" } ]
2023-11-07
[ [ "Ge", "Qingqing", "" ], [ "Yu", "Jianxiang", "" ], [ "Zhao", "Zeyuan", "" ], [ "Li", "Xiang", "" ] ]
While robust graph neural networks (GNNs) have been widely studied for graph perturbation and attack, those for label noise have received significantly less attention. Most existing methods heavily rely on the label smoothness assumption to correct noisy labels, which adversely affects their performance on heterophilou...
2009.11789
Paulo S\'ergio Almeida
Paulo S\'ergio Almeida
A Case for Partitioned Bloom Filters
11 pages; accepted for publication in IEEE Transactions on Computers
null
10.1109/TC.2022.3218995
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a partitioned Bloom Filter the $m$ bit vector is split into $k$ disjoint $m/k$ sized parts, one per hash function. Contrary to hardware designs, where they prevail, software implementations mostly adopt standard Bloom filters, considering partitioned filters slightly worse, due to the slightly larger false positiv...
[ { "created": "Thu, 24 Sep 2020 16:33:22 GMT", "version": "v1" }, { "created": "Wed, 9 Nov 2022 16:27:55 GMT", "version": "v2" } ]
2022-11-10
[ [ "Almeida", "Paulo Sérgio", "" ] ]
In a partitioned Bloom Filter the $m$ bit vector is split into $k$ disjoint $m/k$ sized parts, one per hash function. Contrary to hardware designs, where they prevail, software implementations mostly adopt standard Bloom filters, considering partitioned filters slightly worse, due to the slightly larger false positive ...
2306.08604
Enyan Dai
Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Cheng, Bing Yin, Suhang Wang
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy
null
null
null
null
cs.LG cs.AI cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph Neural Networks (GNNs) have achieved great success in modeling graph-structured data. However, recent works show that GNNs are vulnerable to adversarial attacks which can fool the GNN model to make desired predictions of the attacker. In addition, training data of GNNs can be leaked under membership inference a...
[ { "created": "Wed, 14 Jun 2023 16:11:00 GMT", "version": "v1" } ]
2023-06-16
[ [ "Dai", "Enyan", "" ], [ "Cui", "Limeng", "" ], [ "Wang", "Zhengyang", "" ], [ "Tang", "Xianfeng", "" ], [ "Wang", "Yinghan", "" ], [ "Cheng", "Monica", "" ], [ "Yin", "Bing", "" ], [ "Wang", "Su...
Graph Neural Networks (GNNs) have achieved great success in modeling graph-structured data. However, recent works show that GNNs are vulnerable to adversarial attacks which can fool the GNN model to make desired predictions of the attacker. In addition, training data of GNNs can be leaked under membership inference att...
2303.01676
Hsin Cheng
Hsin Cheng, Zhiwu Zheng, Prakhar Kumar, Wali Afridi, Ben Kim, Sigurd Wagner, Naveen Verma, James C. Sturm and Minjie Chen
eViper: A Scalable Platform for Untethered Modular Soft Robots
8 pages, 21 figures, accepted by IROS 2023
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Soft robots present unique capabilities, but have been limited by the lack of scalable technologies for construction and the complexity of algorithms for efficient control and motion, which depend on soft-body dynamics, high-dimensional actuation patterns, and external/on-board forces. This paper presents scalable me...
[ { "created": "Fri, 3 Mar 2023 02:31:00 GMT", "version": "v1" }, { "created": "Tue, 14 Nov 2023 23:32:01 GMT", "version": "v2" } ]
2023-11-16
[ [ "Cheng", "Hsin", "" ], [ "Zheng", "Zhiwu", "" ], [ "Kumar", "Prakhar", "" ], [ "Afridi", "Wali", "" ], [ "Kim", "Ben", "" ], [ "Wagner", "Sigurd", "" ], [ "Verma", "Naveen", "" ], [ "Sturm", "Ja...
Soft robots present unique capabilities, but have been limited by the lack of scalable technologies for construction and the complexity of algorithms for efficient control and motion, which depend on soft-body dynamics, high-dimensional actuation patterns, and external/on-board forces. This paper presents scalable meth...
2306.02312
Kacper Sokol
Kacper Sokol and Julia E. Vogt
(Un)reasonable Allure of Ante-hoc Interpretability for High-stakes Domains: Transparency Is Necessary but Insufficient for Comprehensibility
Workshop on Interpretable ML in Healthcare at 2023 International Conference on Machine Learning (ICML)
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ante-hoc interpretability has become the holy grail of explainable artificial intelligence for high-stakes domains such as healthcare; however, this notion is elusive, lacks a widely-accepted definition and depends on the operational context. It can refer to predictive models whose structure adheres to domain-specifi...
[ { "created": "Sun, 4 Jun 2023 09:34:41 GMT", "version": "v1" }, { "created": "Mon, 10 Jul 2023 13:42:44 GMT", "version": "v2" } ]
2023-07-11
[ [ "Sokol", "Kacper", "" ], [ "Vogt", "Julia E.", "" ] ]
Ante-hoc interpretability has become the holy grail of explainable artificial intelligence for high-stakes domains such as healthcare; however, this notion is elusive, lacks a widely-accepted definition and depends on the operational context. It can refer to predictive models whose structure adheres to domain-specific ...
1611.06070
Alejandro Marzinotto
Alejandro Marzinotto and Johannes A. Stork
Rope through Loop Insertion for Robotic Knotting: A Virtual Magnetic Field Formulation
8 pages
null
null
978-91-7729-218-0
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Inserting an end of a rope through a loop is a common and important action that is required for creating most types of knots. To perform this action, we need to pass the end of the rope through an area that is enclosed by another segment of rope. As for all knotting actions, the robot must for this exercise control o...
[ { "created": "Fri, 18 Nov 2016 13:41:24 GMT", "version": "v1" } ]
2016-11-21
[ [ "Marzinotto", "Alejandro", "" ], [ "Stork", "Johannes A.", "" ] ]
Inserting an end of a rope through a loop is a common and important action that is required for creating most types of knots. To perform this action, we need to pass the end of the rope through an area that is enclosed by another segment of rope. As for all knotting actions, the robot must for this exercise control ove...
2407.10477
Achiya Elyasaf Dr.
Eliad Shem-Tov, Moshe Sipper, Achiya Elyasaf
Deep Learning-Based Operators for Evolutionary Algorithms
16 pages, 7 figures, 2 tables. Accepted to Genetic Programming Theory & Practice XXI (GPTP 2024). arXiv admin note: text overlap with arXiv:2403.11159
null
null
null
cs.NE cs.LG
http://creativecommons.org/licenses/by/4.0/
We present two novel domain-independent genetic operators that harness the capabilities of deep learning: a crossover operator for genetic algorithms and a mutation operator for genetic programming. Deep Neural Crossover leverages the capabilities of deep reinforcement learning and an encoder-decoder architecture to ...
[ { "created": "Mon, 15 Jul 2024 07:05:34 GMT", "version": "v1" } ]
2024-07-16
[ [ "Shem-Tov", "Eliad", "" ], [ "Sipper", "Moshe", "" ], [ "Elyasaf", "Achiya", "" ] ]
We present two novel domain-independent genetic operators that harness the capabilities of deep learning: a crossover operator for genetic algorithms and a mutation operator for genetic programming. Deep Neural Crossover leverages the capabilities of deep reinforcement learning and an encoder-decoder architecture to se...
2210.12691
Stella Civelli
Stella Civelli, Enrico Forestieri, Marco Secondini
Practical Implementation of Sequence Selection for Nonlinear Probabilistic Shaping
Submitted for presentation to the OFC conference 2023
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose two novel techniques to implement sequence selection (SS) for fiber nonlinearity mitigation, demonstrating a nonlinear shaping gain of 0.24 bits/s/Hz, just 0.1 bits/s/Hz below the SS capacity lower bound.
[ { "created": "Sun, 23 Oct 2022 10:41:38 GMT", "version": "v1" } ]
2022-10-25
[ [ "Civelli", "Stella", "" ], [ "Forestieri", "Enrico", "" ], [ "Secondini", "Marco", "" ] ]
We propose two novel techniques to implement sequence selection (SS) for fiber nonlinearity mitigation, demonstrating a nonlinear shaping gain of 0.24 bits/s/Hz, just 0.1 bits/s/Hz below the SS capacity lower bound.
1912.03787
Austin Dill
Austin Dill, Chun-Liang Li, Songwei Ge, Eunsu Kang
Getting Topology and Point Cloud Generation to Mesh
Sets & Partitions Workshop at NeurIPS 2019
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
In this work, we explore the idea that effective generative models for point clouds under the autoencoding framework must acknowledge the relationship between a continuous surface, a discretized mesh, and a set of points sampled from the surface. This view motivates a generative model that works by progressively defo...
[ { "created": "Sun, 8 Dec 2019 23:36:04 GMT", "version": "v1" } ]
2019-12-10
[ [ "Dill", "Austin", "" ], [ "Li", "Chun-Liang", "" ], [ "Ge", "Songwei", "" ], [ "Kang", "Eunsu", "" ] ]
In this work, we explore the idea that effective generative models for point clouds under the autoencoding framework must acknowledge the relationship between a continuous surface, a discretized mesh, and a set of points sampled from the surface. This view motivates a generative model that works by progressively deform...
2406.01797
Paolo Cudrano
Paolo Cudrano, Xiaoyu Luo, Matteo Matteucci
The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry
Accepted to CoLLAs 2024
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As robotics continues to advance, the need for adaptive and continuously-learning embodied agents increases, particularly in the realm of assistance robotics. Quick adaptability and long-term information retention are essential to operate in dynamic environments typical of humans' everyday lives. A lifelong learning ...
[ { "created": "Mon, 3 Jun 2024 21:32:50 GMT", "version": "v1" } ]
2024-06-05
[ [ "Cudrano", "Paolo", "" ], [ "Luo", "Xiaoyu", "" ], [ "Matteucci", "Matteo", "" ] ]
As robotics continues to advance, the need for adaptive and continuously-learning embodied agents increases, particularly in the realm of assistance robotics. Quick adaptability and long-term information retention are essential to operate in dynamic environments typical of humans' everyday lives. A lifelong learning pa...
2211.12131
Shengqu Cai
Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool and Gordon Wetzstein
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-sa/4.0/
Scene extrapolation -- the idea of generating novel views by flying into a given image -- is a promising, yet challenging task. For each predicted frame, a joint inpainting and 3D refinement problem has to be solved, which is ill posed and includes a high level of ambiguity. Moreover, training data for long-range sce...
[ { "created": "Tue, 22 Nov 2022 10:06:29 GMT", "version": "v1" }, { "created": "Sat, 18 Mar 2023 16:07:21 GMT", "version": "v2" } ]
2023-03-21
[ [ "Cai", "Shengqu", "" ], [ "Chan", "Eric Ryan", "" ], [ "Peng", "Songyou", "" ], [ "Shahbazi", "Mohamad", "" ], [ "Obukhov", "Anton", "" ], [ "Van Gool", "Luc", "" ], [ "Wetzstein", "Gordon", "" ] ]
Scene extrapolation -- the idea of generating novel views by flying into a given image -- is a promising, yet challenging task. For each predicted frame, a joint inpainting and 3D refinement problem has to be solved, which is ill posed and includes a high level of ambiguity. Moreover, training data for long-range scene...
0903.1032
Mohammad Raza
Mohammad Raza and Philippa Gardner
Footprints in Local Reasoning
LMCS 2009 (FOSSACS 2008 special issue)
Logical Methods in Computer Science, Volume 5, Issue 2 (April 24, 2009) lmcs:1118
10.2168/LMCS-5(2:4)2009
null
cs.SE cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Local reasoning about programs exploits the natural local behaviour common in programs by focussing on the footprint - that part of the resource accessed by the program. We address the problem of formally characterising and analysing the footprint notion for abstract local functions introduced by Calcagno, O Hearn an...
[ { "created": "Thu, 5 Mar 2009 17:06:05 GMT", "version": "v1" }, { "created": "Fri, 24 Apr 2009 17:59:14 GMT", "version": "v2" } ]
2015-07-01
[ [ "Raza", "Mohammad", "" ], [ "Gardner", "Philippa", "" ] ]
Local reasoning about programs exploits the natural local behaviour common in programs by focussing on the footprint - that part of the resource accessed by the program. We address the problem of formally characterising and analysing the footprint notion for abstract local functions introduced by Calcagno, O Hearn and ...
1005.3143
Jezabel Molina-Gil
P. Caballero-Gil, J. Molina-Gil, C. Hern\'andez-Goya and C. Caballero-Gil
Stimulating Cooperation in Self-Organized Vehicular Networks
null
Proceedings of APCC IEEE Asia Pacific Conference on Communications. Vol. 82 , (October 2009) pp. 346-349
10.1109/APCC.2009.5375621
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A Vehicular Ad-hoc NETwork (VANET) is a special form of Mobile Ad-hoc Network designed to provide communications among nearby vehicles and between vehicles and nearby fixed roadside equipment. Its main goal is to improve safety and comfort for passengers, but it can also be used for commercial applications. In this l...
[ { "created": "Tue, 18 May 2010 10:24:16 GMT", "version": "v1" } ]
2016-11-18
[ [ "Caballero-Gil", "P.", "" ], [ "Molina-Gil", "J.", "" ], [ "Hernández-Goya", "C.", "" ], [ "Caballero-Gil", "C.", "" ] ]
A Vehicular Ad-hoc NETwork (VANET) is a special form of Mobile Ad-hoc Network designed to provide communications among nearby vehicles and between vehicles and nearby fixed roadside equipment. Its main goal is to improve safety and comfort for passengers, but it can also be used for commercial applications. In this lat...
1910.12468
Assia Benbihi
Assia Benbihi, St\'ephanie Aravecchia, Matthieu Geist, and C\'edric Pradalier
Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description
null
2020 IEEE International Conference on Robotics and Automation (ICRA)
10.1109/ICRA40945.2020.9197529
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most of the research effort on image-based place recognition is designed for urban environments. In bucolic environments such as natural scenes with low texture and little semantic content, the main challenge is to handle the variations in visual appearance across time such as illumination, weather, vegetation state ...
[ { "created": "Mon, 28 Oct 2019 07:06:25 GMT", "version": "v1" }, { "created": "Thu, 16 Jan 2020 05:41:55 GMT", "version": "v2" }, { "created": "Wed, 26 Feb 2020 14:55:38 GMT", "version": "v3" }, { "created": "Fri, 12 Feb 2021 13:42:43 GMT", "version": "v4" }, { "c...
2021-04-02
[ [ "Benbihi", "Assia", "" ], [ "Aravecchia", "Stéphanie", "" ], [ "Geist", "Matthieu", "" ], [ "Pradalier", "Cédric", "" ] ]
Most of the research effort on image-based place recognition is designed for urban environments. In bucolic environments such as natural scenes with low texture and little semantic content, the main challenge is to handle the variations in visual appearance across time such as illumination, weather, vegetation state or...
2306.06205
Judit Acs
Judit Acs, Endre Hamerlik, Roy Schwartz, Noah A. Smith, Andras Kornai
Morphosyntactic probing of multilingual BERT models
to appear in the Journal of Natural Language Engineering
null
10.1017/S1351324923000190
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We introduce an extensive dataset for multilingual probing of morphological information in language models (247 tasks across 42 languages from 10 families), each consisting of a sentence with a target word and a morphological tag as the desired label, derived from the Universal Dependencies treebanks. We find that pr...
[ { "created": "Fri, 9 Jun 2023 19:15:20 GMT", "version": "v1" } ]
2023-06-13
[ [ "Acs", "Judit", "" ], [ "Hamerlik", "Endre", "" ], [ "Schwartz", "Roy", "" ], [ "Smith", "Noah A.", "" ], [ "Kornai", "Andras", "" ] ]
We introduce an extensive dataset for multilingual probing of morphological information in language models (247 tasks across 42 languages from 10 families), each consisting of a sentence with a target word and a morphological tag as the desired label, derived from the Universal Dependencies treebanks. We find that pre-...
2404.05392
Artur Xarles
Artur Xarles, Sergio Escalera, Thomas B. Moeslund, Albert Clap\'es
T-DEED: Temporal-Discriminability Enhancer Encoder-Decoder for Precise Event Spotting in Sports Videos
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
In this paper, we introduce T-DEED, a Temporal-Discriminability Enhancer Encoder-Decoder for Precise Event Spotting in sports videos. T-DEED addresses multiple challenges in the task, including the need for discriminability among frame representations, high output temporal resolution to maintain prediction precision,...
[ { "created": "Mon, 8 Apr 2024 10:51:29 GMT", "version": "v1" }, { "created": "Thu, 11 Apr 2024 13:36:58 GMT", "version": "v2" } ]
2024-04-12
[ [ "Xarles", "Artur", "" ], [ "Escalera", "Sergio", "" ], [ "Moeslund", "Thomas B.", "" ], [ "Clapés", "Albert", "" ] ]
In this paper, we introduce T-DEED, a Temporal-Discriminability Enhancer Encoder-Decoder for Precise Event Spotting in sports videos. T-DEED addresses multiple challenges in the task, including the need for discriminability among frame representations, high output temporal resolution to maintain prediction precision, a...
2311.10581
Peyman Dehghanzadeh
Peyman Dehghanzadeh, Baibhab Chatterjee and Swarup Bhunia
LUNA-CIM: Lookup Table based Programmable Neural Processing in Memory
null
null
null
null
cs.AR cs.ET
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a novel approach for performing computations using Look-Up Tables (LUTs) tailored specifically for Compute-in-Memory applications. The aim is to address the scalability challenges associated with LUT-based computation by reducing storage requirements and energy consumption while capitalizing on th...
[ { "created": "Fri, 17 Nov 2023 15:32:11 GMT", "version": "v1" } ]
2023-11-20
[ [ "Dehghanzadeh", "Peyman", "" ], [ "Chatterjee", "Baibhab", "" ], [ "Bhunia", "Swarup", "" ] ]
This paper presents a novel approach for performing computations using Look-Up Tables (LUTs) tailored specifically for Compute-in-Memory applications. The aim is to address the scalability challenges associated with LUT-based computation by reducing storage requirements and energy consumption while capitalizing on the ...
1812.10408
Hugo Chu
Marko Valentin Micic and Hugo Chu
Hyperbolic Deep Learning for Chinese Natural Language Understanding
11 pages, 1 figure
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently hyperbolic geometry has proven to be effective in building embeddings that encode hierarchical and entailment information. This makes it particularly suited to modelling the complex asymmetrical relationships between Chinese characters and words. In this paper we first train a large scale hyperboloid skip-gr...
[ { "created": "Tue, 11 Dec 2018 09:48:17 GMT", "version": "v1" } ]
2018-12-27
[ [ "Micic", "Marko Valentin", "" ], [ "Chu", "Hugo", "" ] ]
Recently hyperbolic geometry has proven to be effective in building embeddings that encode hierarchical and entailment information. This makes it particularly suited to modelling the complex asymmetrical relationships between Chinese characters and words. In this paper we first train a large scale hyperboloid skip-gram...
1602.03808
Kwang In Kim
Kwang In Kim and James Tompkin and Hanspeter Pfister and Christian Theobalt
Semi-supervised Learning with Explicit Relationship Regularization
Accepted version of paper published at CVPR 2015, http://dx.doi.org/10.1109/CVPR.2015.7298831
null
10.1109/CVPR.2015.7298831
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In many learning tasks, the structure of the target space of a function holds rich information about the relationships between evaluations of functions on different data points. Existing approaches attempt to exploit this relationship information implicitly by enforcing smoothness on function evaluations only. Howeve...
[ { "created": "Thu, 11 Feb 2016 18:08:58 GMT", "version": "v1" } ]
2016-02-12
[ [ "Kim", "Kwang In", "" ], [ "Tompkin", "James", "" ], [ "Pfister", "Hanspeter", "" ], [ "Theobalt", "Christian", "" ] ]
In many learning tasks, the structure of the target space of a function holds rich information about the relationships between evaluations of functions on different data points. Existing approaches attempt to exploit this relationship information implicitly by enforcing smoothness on function evaluations only. However,...
2310.10692
Laetitia Teodorescu
Julien Pourcel, C\'edric Colas, Gaia Molinaro, Pierre-Yves Oudeyer, Laetitia Teodorescu
ACES: Generating Diverse Programming Puzzles with with Autotelic Generative Models
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
The ability to invent novel and interesting problems is a remarkable feature of human intelligence that drives innovation, art, and science. We propose a method that aims to automate this process by harnessing the power of state-of-the-art generative models to produce a diversity of challenging yet solvable problems,...
[ { "created": "Sun, 15 Oct 2023 14:57:14 GMT", "version": "v1" }, { "created": "Wed, 18 Oct 2023 22:19:14 GMT", "version": "v2" }, { "created": "Wed, 25 Oct 2023 12:01:38 GMT", "version": "v3" }, { "created": "Wed, 29 May 2024 08:56:23 GMT", "version": "v4" } ]
2024-05-30
[ [ "Pourcel", "Julien", "" ], [ "Colas", "Cédric", "" ], [ "Molinaro", "Gaia", "" ], [ "Oudeyer", "Pierre-Yves", "" ], [ "Teodorescu", "Laetitia", "" ] ]
The ability to invent novel and interesting problems is a remarkable feature of human intelligence that drives innovation, art, and science. We propose a method that aims to automate this process by harnessing the power of state-of-the-art generative models to produce a diversity of challenging yet solvable problems, h...
2108.09065
Fangqi Li
Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew
Regulating Ownership Verification for Deep Neural Networks: Scenarios, Protocols, and Prospects
IJCAI 2021 Workshop on Toward IPR on Deep Learning as Services
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
With the broad application of deep neural networks, the necessity of protecting them as intellectual properties has become evident. Numerous watermarking schemes have been proposed to identify the owner of a deep neural network and verify the ownership. However, most of them focused on the watermark embedding rather ...
[ { "created": "Fri, 20 Aug 2021 08:47:40 GMT", "version": "v1" } ]
2021-08-23
[ [ "Li", "Fang-Qi", "" ], [ "Wang", "Shi-Lin", "" ], [ "Liew", "Alan Wee-Chung", "" ] ]
With the broad application of deep neural networks, the necessity of protecting them as intellectual properties has become evident. Numerous watermarking schemes have been proposed to identify the owner of a deep neural network and verify the ownership. However, most of them focused on the watermark embedding rather th...
2005.10083
Joseph Sweeney
Joseph Sweeney, Samuel Pagliarini, Lawrence Pileggi
Securing Digital Systems via Split-Chip Obfuscation
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Security is an important facet of integrated circuit design for many applications. IP privacy and Trojan insertion are growing threats as circuit fabrication in advanced nodes almost inevitably relies on untrusted foundries. A proposed solution is Split-Chip Obfuscation that uses a combination trusted and untrusted I...
[ { "created": "Wed, 20 May 2020 14:43:25 GMT", "version": "v1" } ]
2020-05-21
[ [ "Sweeney", "Joseph", "" ], [ "Pagliarini", "Samuel", "" ], [ "Pileggi", "Lawrence", "" ] ]
Security is an important facet of integrated circuit design for many applications. IP privacy and Trojan insertion are growing threats as circuit fabrication in advanced nodes almost inevitably relies on untrusted foundries. A proposed solution is Split-Chip Obfuscation that uses a combination trusted and untrusted IC ...
2105.10384
Leonid Sokolinsky
Leonid B. Sokolinsky and Irina M. Sokolinskaya
FRaGenLP: A Generator of Random Linear Programming Problems for Cluster Computing Systems
Submitted to "Communications in Computer and Information Science"
Communications in Computer and Information Science. 2021, vol. 1437. 164-177
10.1007/978-3-030-81691-9_12
null
cs.DC cs.MS math.OC
http://creativecommons.org/licenses/by/4.0/
The article presents and evaluates a scalable FRaGenLP algorithm for generating random linear programming problems of large dimension $n$ on cluster computing systems. To ensure the consistency of the problem and the boundedness of the feasible region, the constraint system includes $2n+1$ standard inequalities, call...
[ { "created": "Tue, 18 May 2021 14:55:24 GMT", "version": "v1" } ]
2021-11-29
[ [ "Sokolinsky", "Leonid B.", "" ], [ "Sokolinskaya", "Irina M.", "" ] ]
The article presents and evaluates a scalable FRaGenLP algorithm for generating random linear programming problems of large dimension $n$ on cluster computing systems. To ensure the consistency of the problem and the boundedness of the feasible region, the constraint system includes $2n+1$ standard inequalities, called...
1912.01513
Jan Feyereisl
Marek Rosa and Olga Afanasjeva and Simon Andersson and Joseph Davidson and Nicholas Guttenberg and Petr Hlubu\v{c}ek and Martin Poliak and Jaroslav V\'itku and Jan Feyereisl
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
null
null
null
null
cs.AI cs.LG cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we propose a novel memory-based multi-agent meta-learning architecture and learning procedure that allows for learning of a shared communication policy that enables the emergence of rapid adaptation to new and unseen environments by learning to learn learning algorithms through communication. Behavior, ...
[ { "created": "Tue, 3 Dec 2019 16:36:42 GMT", "version": "v1" } ]
2019-12-04
[ [ "Rosa", "Marek", "" ], [ "Afanasjeva", "Olga", "" ], [ "Andersson", "Simon", "" ], [ "Davidson", "Joseph", "" ], [ "Guttenberg", "Nicholas", "" ], [ "Hlubuček", "Petr", "" ], [ "Poliak", "Martin", "" ], ...
In this work, we propose a novel memory-based multi-agent meta-learning architecture and learning procedure that allows for learning of a shared communication policy that enables the emergence of rapid adaptation to new and unseen environments by learning to learn learning algorithms through communication. Behavior, ad...
2402.03040
Yiyuan Zhang
Yiyuan Zhang, Yuhao Kang, Zhixin Zhang, Xiaohan Ding, Sanyuan Zhao, Xiangyu Yue
InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal Instructions
Code, models, and demo are available at https://github.com/invictus717/InteractiveVideo
null
null
null
cs.CV cs.AI cs.LG cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce $\textit{InteractiveVideo}$, a user-centric framework for video generation. Different from traditional generative approaches that operate based on user-provided images or text, our framework is designed for dynamic interaction, allowing users to instruct the generative model through various intuitive mec...
[ { "created": "Mon, 5 Feb 2024 14:24:46 GMT", "version": "v1" } ]
2024-02-06
[ [ "Zhang", "Yiyuan", "" ], [ "Kang", "Yuhao", "" ], [ "Zhang", "Zhixin", "" ], [ "Ding", "Xiaohan", "" ], [ "Zhao", "Sanyuan", "" ], [ "Yue", "Xiangyu", "" ] ]
We introduce $\textit{InteractiveVideo}$, a user-centric framework for video generation. Different from traditional generative approaches that operate based on user-provided images or text, our framework is designed for dynamic interaction, allowing users to instruct the generative model through various intuitive mecha...
cs/0502080
Youngchul Sung
Youngchul Sung, Lang Tong and H. Vincent Poor
Sensor Configuration and Activation for Field Detection in Large Sensor Arrays
7 pages with 11 figures; also to appear in the Fourth International Conference on Information Processing in Sensor Networks
null
null
null
cs.IT math.IT
null
The problems of sensor configuration and activation for the detection of correlated random fields using large sensor arrays are considered. Using results that characterize the large-array performance of sensor networks in this application, the detection capabilities of different sensor configurations are analyzed and...
[ { "created": "Sat, 19 Feb 2005 17:04:59 GMT", "version": "v1" } ]
2007-07-16
[ [ "Sung", "Youngchul", "" ], [ "Tong", "Lang", "" ], [ "Poor", "H. Vincent", "" ] ]
The problems of sensor configuration and activation for the detection of correlated random fields using large sensor arrays are considered. Using results that characterize the large-array performance of sensor networks in this application, the detection capabilities of different sensor configurations are analyzed and c...
2204.10909
Ravi Patel
Ravi G. Patel, Indu Manickam, Myoungkyu Lee, Mamikon Gulian
Error-in-variables modelling for operator learning
23 pages, 10 figures
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Deep operator learning has emerged as a promising tool for reduced-order modelling and PDE model discovery. Leveraging the expressive power of deep neural networks, especially in high dimensions, such methods learn the mapping between functional state variables. While proposed methods have assumed noise only in the d...
[ { "created": "Fri, 22 Apr 2022 19:54:34 GMT", "version": "v1" }, { "created": "Tue, 19 Jul 2022 22:02:47 GMT", "version": "v2" } ]
2022-07-21
[ [ "Patel", "Ravi G.", "" ], [ "Manickam", "Indu", "" ], [ "Lee", "Myoungkyu", "" ], [ "Gulian", "Mamikon", "" ] ]
Deep operator learning has emerged as a promising tool for reduced-order modelling and PDE model discovery. Leveraging the expressive power of deep neural networks, especially in high dimensions, such methods learn the mapping between functional state variables. While proposed methods have assumed noise only in the dep...
1911.04209
Qinbin Li
Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He
Privacy-Preserving Gradient Boosting Decision Trees
null
null
null
null
cs.LG cs.CR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Gradient Boosting Decision Tree (GBDT) is a popular machine learning model for various tasks in recent years. In this paper, we study how to improve model accuracy of GBDT while preserving the strong guarantee of differential privacy. Sensitivity and privacy budget are two key design aspects for the effectiveness...
[ { "created": "Mon, 11 Nov 2019 12:20:24 GMT", "version": "v1" }, { "created": "Wed, 11 Dec 2019 16:24:01 GMT", "version": "v2" }, { "created": "Thu, 29 Oct 2020 02:38:31 GMT", "version": "v3" }, { "created": "Tue, 16 Mar 2021 06:25:41 GMT", "version": "v4" }, { "c...
2022-10-11
[ [ "Li", "Qinbin", "" ], [ "Wu", "Zhaomin", "" ], [ "Wen", "Zeyi", "" ], [ "He", "Bingsheng", "" ] ]
The Gradient Boosting Decision Tree (GBDT) is a popular machine learning model for various tasks in recent years. In this paper, we study how to improve model accuracy of GBDT while preserving the strong guarantee of differential privacy. Sensitivity and privacy budget are two key design aspects for the effectiveness o...
1401.0282
Reza Nourjou
Reza Nourjou, Michinori Hatayama, Stephen F. Smith, Atabak Sadeghi and Pedro Szekely
Design of a GIS-based Assistant Software Agent for the Incident Commander to Coordinate Emergency Response Operations
3 pages, 1 figure, In Workshop on Robots and Sensors integration in future rescue INformation system (ROSIN' 13). In Conjunction of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS' 13), 2013
null
null
null
cs.MA cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Problem: This paper addresses the design of an intelligent software system for the IC (incident commander) of a team in order to coordinate actions of agents (field units or robots) in the domain of emergency/crisis response operations. Objective: This paper proposes GICoordinator. It is a GIS-based assistant softwar...
[ { "created": "Wed, 1 Jan 2014 13:35:06 GMT", "version": "v1" } ]
2014-01-03
[ [ "Nourjou", "Reza", "" ], [ "Hatayama", "Michinori", "" ], [ "Smith", "Stephen F.", "" ], [ "Sadeghi", "Atabak", "" ], [ "Szekely", "Pedro", "" ] ]
Problem: This paper addresses the design of an intelligent software system for the IC (incident commander) of a team in order to coordinate actions of agents (field units or robots) in the domain of emergency/crisis response operations. Objective: This paper proposes GICoordinator. It is a GIS-based assistant software ...
1502.04806
Vinod M. Prabhakaran
Sibi Raj B. Pillai and Vinod M. Prabhakaran
On the Noisy Feedback Capacity of Gaussian Broadcast Channels
5 pages, 3 figures, to appear in IEEE Information Theory Workshop 2015, Jerusalem
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is well known that, in general, feedback may enlarge the capacity region of Gaussian broadcast channels. This has been demonstrated even when the feedback is noisy (or partial-but-perfect) and only from one of the receivers. The only case known where feedback has been shown not to enlarge the capacity region is wh...
[ { "created": "Tue, 17 Feb 2015 06:06:18 GMT", "version": "v1" } ]
2015-02-18
[ [ "Pillai", "Sibi Raj B.", "" ], [ "Prabhakaran", "Vinod M.", "" ] ]
It is well known that, in general, feedback may enlarge the capacity region of Gaussian broadcast channels. This has been demonstrated even when the feedback is noisy (or partial-but-perfect) and only from one of the receivers. The only case known where feedback has been shown not to enlarge the capacity region is when...
1801.05164
Jean Neraud
Jean N\'eraud (LITIS, UNIROUEN), Carla Selmi (LITIS, UNIROUEN)
Embedding a $\theta$-invariant code into a complete one
arXiv admin note: text overlap with arXiv:1705.05564
Theoretical Computer Science, Elsevier
10.1016/j.tcs.2018.08.022
null
cs.DM cs.CL math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Let A be a finite or countable alphabet and let $\theta$ be a literal (anti-)automorphism onto A * (by definition, such a correspondence is determinated by a permutation of the alphabet). This paper deals with sets which are invariant under $\theta$ ($\theta$-invariant for short) that is, languages L such that $\thet...
[ { "created": "Tue, 16 Jan 2018 09:09:58 GMT", "version": "v1" }, { "created": "Mon, 13 Aug 2018 16:59:05 GMT", "version": "v2" }, { "created": "Mon, 3 Sep 2018 09:10:32 GMT", "version": "v3" } ]
2018-09-06
[ [ "Néraud", "Jean", "", "LITIS, UNIROUEN" ], [ "Selmi", "Carla", "", "LITIS, UNIROUEN" ] ]
Let A be a finite or countable alphabet and let $\theta$ be a literal (anti-)automorphism onto A * (by definition, such a correspondence is determinated by a permutation of the alphabet). This paper deals with sets which are invariant under $\theta$ ($\theta$-invariant for short) that is, languages L such that $\theta$...
2301.12204
Ferdinando Fioretto
Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck, Saswat Das, Christine Task
Privacy and Bias Analysis of Disclosure Avoidance Systems
null
null
null
null
cs.CR cs.AI cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Disclosure avoidance (DA) systems are used to safeguard the confidentiality of data while allowing it to be analyzed and disseminated for analytic purposes. These methods, e.g., cell suppression, swapping, and k-anonymity, are commonly applied and may have significant societal and economic implications. However, a fo...
[ { "created": "Sat, 28 Jan 2023 13:58:25 GMT", "version": "v1" } ]
2023-01-31
[ [ "Zhu", "Keyu", "" ], [ "Fioretto", "Ferdinando", "" ], [ "Van Hentenryck", "Pascal", "" ], [ "Das", "Saswat", "" ], [ "Task", "Christine", "" ] ]
Disclosure avoidance (DA) systems are used to safeguard the confidentiality of data while allowing it to be analyzed and disseminated for analytic purposes. These methods, e.g., cell suppression, swapping, and k-anonymity, are commonly applied and may have significant societal and economic implications. However, a form...
2407.20203
Yuhong Cao
Yixiao Ma, Jingsong Liang, Yuhong Cao, Derek Ming Siang Tan, Guillaume Sartoretti
Privileged Reinforcement and Communication Learning for Distributed, Bandwidth-limited Multi-robot Exploration
Accepted by DARS2024
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Communication bandwidth is an important consideration in multi-robot exploration, where information exchange among robots is critical. While existing methods typically aim to reduce communication throughput, they either require significant computation or significantly compromise exploration efficiency. In this work, ...
[ { "created": "Mon, 29 Jul 2024 17:34:55 GMT", "version": "v1" } ]
2024-07-30
[ [ "Ma", "Yixiao", "" ], [ "Liang", "Jingsong", "" ], [ "Cao", "Yuhong", "" ], [ "Tan", "Derek Ming Siang", "" ], [ "Sartoretti", "Guillaume", "" ] ]
Communication bandwidth is an important consideration in multi-robot exploration, where information exchange among robots is critical. While existing methods typically aim to reduce communication throughput, they either require significant computation or significantly compromise exploration efficiency. In this work, we...
2212.11151
Yutaka Nagashima
Yutaka Nagashima, Zijin Xu, Ningli Wang, Daniel Sebastian Goc, and James Bang
Template-Based Conjecturing for Automated Induction in Isabelle/HOL
To appear at Fundamentals of Software engineering 2023 (http://fsen.ir/2023/)
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Proof by induction plays a central role in formal verification. However, its automation remains as a formidable challenge in Computer Science. To solve inductive problems, human engineers often have to provide auxiliary lemmas manually. We automate this laborious process with template-based conjecturing, a novel appr...
[ { "created": "Sun, 20 Nov 2022 22:39:47 GMT", "version": "v1" }, { "created": "Thu, 19 Jan 2023 23:12:41 GMT", "version": "v2" } ]
2023-01-23
[ [ "Nagashima", "Yutaka", "" ], [ "Xu", "Zijin", "" ], [ "Wang", "Ningli", "" ], [ "Goc", "Daniel Sebastian", "" ], [ "Bang", "James", "" ] ]
Proof by induction plays a central role in formal verification. However, its automation remains as a formidable challenge in Computer Science. To solve inductive problems, human engineers often have to provide auxiliary lemmas manually. We automate this laborious process with template-based conjecturing, a novel approa...
2309.09782
Xhani Marvin Sa{\ss}
Xhani Marvin Sa{\ss}, Thilo Krachenfels, Frederik Dermot Pustelnik, Jean-Pierre Seifert, Christian Gro{\ss}e, Frank Altmann
Modulation to the Rescue: Identifying Sub-Circuitry in the Transistor Morass for Targeted Analysis
6 pages, short paper at ASHES2023
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Physical attacks form one of the most severe threats against secure computing platforms. Their criticality arises from their corresponding threat model: By, e.g., passively measuring an integrated circuit's (IC's) environment during a security-related operation, internal secrets may be disclosed. Furthermore, by acti...
[ { "created": "Mon, 18 Sep 2023 13:59:57 GMT", "version": "v1" } ]
2023-09-19
[ [ "Saß", "Xhani Marvin", "" ], [ "Krachenfels", "Thilo", "" ], [ "Pustelnik", "Frederik Dermot", "" ], [ "Seifert", "Jean-Pierre", "" ], [ "Große", "Christian", "" ], [ "Altmann", "Frank", "" ] ]
Physical attacks form one of the most severe threats against secure computing platforms. Their criticality arises from their corresponding threat model: By, e.g., passively measuring an integrated circuit's (IC's) environment during a security-related operation, internal secrets may be disclosed. Furthermore, by active...
2402.07420
Hideaki Takahashi
Hideaki Takahashi and Alex Fukunaga
On the Transit Obfuscation Problem
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Concealing an intermediate point on a route or visible from a route is an important goal in some transportation and surveillance scenarios. This paper studies the Transit Obfuscation Problem, the problem of traveling from some start location to an end location while "covering" a specific transit point that needs to b...
[ { "created": "Mon, 12 Feb 2024 05:48:52 GMT", "version": "v1" }, { "created": "Tue, 13 Feb 2024 07:02:05 GMT", "version": "v2" } ]
2024-02-14
[ [ "Takahashi", "Hideaki", "" ], [ "Fukunaga", "Alex", "" ] ]
Concealing an intermediate point on a route or visible from a route is an important goal in some transportation and surveillance scenarios. This paper studies the Transit Obfuscation Problem, the problem of traveling from some start location to an end location while "covering" a specific transit point that needs to be ...
2011.09517
Tanveer Syeda-Mahmood
Tanveer Syeda-Mahmood, Ph.D, K.C.L Wong, Ph.D, Joy T. Wu, M.D., M.P.H, Ashutosh Jadhav, Ph.D, Orest Boyko, M.D. Ph.D
Extracting and Learning Fine-Grained Labels from Chest Radiographs
This paper won the Homer R. Warner Award at AMIA 2020 awarded to a paper that best describes approaches to improving computerized information acquisition, knowledge data acquisition and management, and experimental results documenting the value of these approaches. The paper shows a combination of textual and v...
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Chest radiographs are the most common diagnostic exam in emergency rooms and intensive care units today. Recently, a number of researchers have begun working on large chest X-ray datasets to develop deep learning models for recognition of a handful of coarse finding classes such as opacities, masses and nodules. In t...
[ { "created": "Wed, 18 Nov 2020 19:56:08 GMT", "version": "v1" } ]
2020-11-20
[ [ "Syeda-Mahmood", "Tanveer", "" ], [ "D", "Ph.", "" ], [ "Wong", "K. C. L", "" ], [ "D", "Ph.", "" ], [ "Wu", "Joy T.", "" ], [ "D.", "M.", "" ], [ "H", "M. P.", "" ], [ "Jadhav", "Ashutosh", ...
Chest radiographs are the most common diagnostic exam in emergency rooms and intensive care units today. Recently, a number of researchers have begun working on large chest X-ray datasets to develop deep learning models for recognition of a handful of coarse finding classes such as opacities, masses and nodules. In thi...
1911.07399
Xijie Huang
Xijie Huang, Moustafa Alzantot, Mani Srivastava
NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations
8 pages, 13 figures
null
null
null
cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks have achieved state-of-the-art performance on various tasks. However, lack of interpretability and transparency makes it easier for malicious attackers to inject trojan backdoor into the neural networks, which will make the model behave abnormally when a backdoor sample with a specific trigger is...
[ { "created": "Mon, 18 Nov 2019 02:27:10 GMT", "version": "v1" } ]
2019-11-19
[ [ "Huang", "Xijie", "" ], [ "Alzantot", "Moustafa", "" ], [ "Srivastava", "Mani", "" ] ]
Deep neural networks have achieved state-of-the-art performance on various tasks. However, lack of interpretability and transparency makes it easier for malicious attackers to inject trojan backdoor into the neural networks, which will make the model behave abnormally when a backdoor sample with a specific trigger is i...
cs/0110065
Kay-Uwe Kasemir
K.U. Kasemir, L.R. Dalesio
Interfacing the ControlLogix PLC over Ethernet/IP
3 pages, 1 figure, 8th International Conference on Accelerator and Large Experimental Physics Control Systems (PSN THAP020), San Jose, CA, USA, November 27-30
eConf C011127:THDT002,2001
null
LA-UR -01-5891
cs.NI cs.AR
null
The Allen-Bradley ControlLogix line of pro-grammable logic controllers (PLCs) offers several in-terfaces: Ethernet, ControlNet, DeviceNet, RS-232 and others. The ControlLogix Ethernet interface module 1756-ENET uses EtherNet/IP, the ControlNet protocol, encapsulated in Ethernet packages, with specific service codes. ...
[ { "created": "Wed, 31 Oct 2001 18:07:17 GMT", "version": "v1" } ]
2010-05-27
[ [ "Kasemir", "K. U.", "" ], [ "Dalesio", "L. R.", "" ] ]
The Allen-Bradley ControlLogix line of pro-grammable logic controllers (PLCs) offers several in-terfaces: Ethernet, ControlNet, DeviceNet, RS-232 and others. The ControlLogix Ethernet interface module 1756-ENET uses EtherNet/IP, the ControlNet protocol, encapsulated in Ethernet packages, with specific service codes. A ...
2309.04084
Xiangyu Chen
Xiangyu Chen, Zheyuan Li, Zhengwen Zhang, Jimmy S. Ren, Yihao Liu, Jingwen He, Yu Qiao, Jiantao Zhou, Chao Dong
Towards Efficient SDRTV-to-HDRTV by Learning from Image Formation
Extended version of HDRTVNet
null
null
null
cs.CV cs.MM eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern displays are capable of rendering video content with high dynamic range (HDR) and wide color gamut (WCG). However, the majority of available resources are still in standard dynamic range (SDR). As a result, there is significant value in transforming existing SDR content into the HDRTV standard. In this paper, ...
[ { "created": "Fri, 8 Sep 2023 02:50:54 GMT", "version": "v1" } ]
2023-09-11
[ [ "Chen", "Xiangyu", "" ], [ "Li", "Zheyuan", "" ], [ "Zhang", "Zhengwen", "" ], [ "Ren", "Jimmy S.", "" ], [ "Liu", "Yihao", "" ], [ "He", "Jingwen", "" ], [ "Qiao", "Yu", "" ], [ "Zhou", "Jianta...
Modern displays are capable of rendering video content with high dynamic range (HDR) and wide color gamut (WCG). However, the majority of available resources are still in standard dynamic range (SDR). As a result, there is significant value in transforming existing SDR content into the HDRTV standard. In this paper, we...
2303.04579
Andr\'e Artelt
Andr\'e Artelt, Andreas Gregoriades
"How to make them stay?" -- Diverse Counterfactual Explanations of Employee Attrition
Accepted as a short paper at ICEIS 2023
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Employee attrition is an important and complex problem that can directly affect an organisation's competitiveness and performance. Explaining the reasons why employees leave an organisation is a key human resource management challenge due to the high costs and time required to attract and keep talented employees. Bus...
[ { "created": "Wed, 8 Mar 2023 13:54:57 GMT", "version": "v1" } ]
2023-03-09
[ [ "Artelt", "André", "" ], [ "Gregoriades", "Andreas", "" ] ]
Employee attrition is an important and complex problem that can directly affect an organisation's competitiveness and performance. Explaining the reasons why employees leave an organisation is a key human resource management challenge due to the high costs and time required to attract and keep talented employees. Busin...
2303.10346
Boyan Wan
Boyan Wan, Yifei Shi, Kai Xu
SOCS: Semantically-aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations
10 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most learning-based approaches to category-level 6D pose estimation are design around normalized object coordinate space (NOCS). While being successful, NOCS-based methods become inaccurate and less robust when handling objects of a category containing significant intra-category shape variations. This is because the ...
[ { "created": "Sat, 18 Mar 2023 06:34:16 GMT", "version": "v1" } ]
2023-03-21
[ [ "Wan", "Boyan", "" ], [ "Shi", "Yifei", "" ], [ "Xu", "Kai", "" ] ]
Most learning-based approaches to category-level 6D pose estimation are design around normalized object coordinate space (NOCS). While being successful, NOCS-based methods become inaccurate and less robust when handling objects of a category containing significant intra-category shape variations. This is because the ob...
1509.02437
Rishabh Soni
Rishabh Soni, K. James Mathai
Improved Twitter Sentiment Prediction through Cluster-then-Predict Model
5 pages
null
null
null
cs.IR cs.CL cs.LG cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Over the past decade humans have experienced exponential growth in the use of online resources, in particular social media and microblogging websites such as Facebook, Twitter, YouTube and also mobile applications such as WhatsApp, Line, etc. Many companies have identified these resources as a rich mine of marketing ...
[ { "created": "Tue, 8 Sep 2015 16:36:04 GMT", "version": "v1" } ]
2015-09-09
[ [ "Soni", "Rishabh", "" ], [ "Mathai", "K. James", "" ] ]
Over the past decade humans have experienced exponential growth in the use of online resources, in particular social media and microblogging websites such as Facebook, Twitter, YouTube and also mobile applications such as WhatsApp, Line, etc. Many companies have identified these resources as a rich mine of marketing kn...
1912.02098
Siddarth Srinivasan
Sandesh Adhikary, Siddarth Srinivasan, Geoff Gordon, Byron Boots
Expressiveness and Learning of Hidden Quantum Markov Models
arXiv admin note: text overlap with arXiv:1903.03730
null
null
null
cs.LG quant-ph stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Extending classical probabilistic reasoning using the quantum mechanical view of probability has been of recent interest, particularly in the development of hidden quantum Markov models (HQMMs) to model stochastic processes. However, there has been little progress in characterizing the expressiveness of such models a...
[ { "created": "Mon, 2 Dec 2019 21:51:19 GMT", "version": "v1" } ]
2019-12-05
[ [ "Adhikary", "Sandesh", "" ], [ "Srinivasan", "Siddarth", "" ], [ "Gordon", "Geoff", "" ], [ "Boots", "Byron", "" ] ]
Extending classical probabilistic reasoning using the quantum mechanical view of probability has been of recent interest, particularly in the development of hidden quantum Markov models (HQMMs) to model stochastic processes. However, there has been little progress in characterizing the expressiveness of such models and...
2305.02997
Colin White
Duncan McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C, Benjamin Feuer, Chinmay Hegde, Ganesh Ramakrishnan, Micah Goldblum, Colin White
When Do Neural Nets Outperform Boosted Trees on Tabular Data?
NeurIPS Datasets and Benchmarks Track 2023
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Tabular data is one of the most commonly used types of data in machine learning. Despite recent advances in neural nets (NNs) for tabular data, there is still an active discussion on whether or not NNs generally outperform gradient-boosted decision trees (GBDTs) on tabular data, with several recent works arguing eith...
[ { "created": "Thu, 4 May 2023 17:04:41 GMT", "version": "v1" }, { "created": "Tue, 17 Oct 2023 21:51:42 GMT", "version": "v2" }, { "created": "Mon, 30 Oct 2023 21:24:22 GMT", "version": "v3" }, { "created": "Mon, 15 Jul 2024 19:00:47 GMT", "version": "v4" } ]
2024-07-17
[ [ "McElfresh", "Duncan", "" ], [ "Khandagale", "Sujay", "" ], [ "Valverde", "Jonathan", "" ], [ "C", "Vishak Prasad", "" ], [ "Feuer", "Benjamin", "" ], [ "Hegde", "Chinmay", "" ], [ "Ramakrishnan", "Ganesh", ...
Tabular data is one of the most commonly used types of data in machine learning. Despite recent advances in neural nets (NNs) for tabular data, there is still an active discussion on whether or not NNs generally outperform gradient-boosted decision trees (GBDTs) on tabular data, with several recent works arguing either...
2309.07181
Fraser Mince
Fraser Mince, Dzung Dinh, Jonas Kgomo, Neil Thompson, Sara Hooker
The Grand Illusion: The Myth of Software Portability and Implications for ML Progress
28 pages, 13 figures, repo can be found at associated https://github.com/for-ai/portability
null
null
null
cs.SE cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Pushing the boundaries of machine learning often requires exploring different hardware and software combinations. However, the freedom to experiment across different tooling stacks can be at odds with the drive for efficiency, which has produced increasingly specialized AI hardware and incentivized consolidation arou...
[ { "created": "Tue, 12 Sep 2023 22:11:55 GMT", "version": "v1" } ]
2023-09-15
[ [ "Mince", "Fraser", "" ], [ "Dinh", "Dzung", "" ], [ "Kgomo", "Jonas", "" ], [ "Thompson", "Neil", "" ], [ "Hooker", "Sara", "" ] ]
Pushing the boundaries of machine learning often requires exploring different hardware and software combinations. However, the freedom to experiment across different tooling stacks can be at odds with the drive for efficiency, which has produced increasingly specialized AI hardware and incentivized consolidation around...
2010.07708
Antonis Sidiropoulos
Antonis Sidiropoulos and Zoe Doulgeri
A Reversible Dynamic Movement Primitive formulation
null
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 3147-3153
10.1109/ICRA48506.2021.9562059
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
In this work, a novel Dynamic Movement Primitive (DMP) formulation is proposed which supports reversibility, i.e. backwards reproduction of a learned trajectory. Apart from sharing all favourable properties of the original DMP, decoupling the teaching of position and velocity profiles and bidirectional drivability al...
[ { "created": "Thu, 15 Oct 2020 12:38:31 GMT", "version": "v1" }, { "created": "Wed, 27 Oct 2021 13:47:51 GMT", "version": "v2" } ]
2021-10-28
[ [ "Sidiropoulos", "Antonis", "" ], [ "Doulgeri", "Zoe", "" ] ]
In this work, a novel Dynamic Movement Primitive (DMP) formulation is proposed which supports reversibility, i.e. backwards reproduction of a learned trajectory. Apart from sharing all favourable properties of the original DMP, decoupling the teaching of position and velocity profiles and bidirectional drivability alon...
1602.03110
Akhil Arora
Sainyam Galhotra, Akhil Arora, Shourya Roy
Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models
ACM SIGMOD Conference 2016, 18 pages, 29 figures
null
10.1145/2882903.2882929
null
cs.SI cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The steady growth of graph data from social networks has resulted in wide-spread research in finding solutions to the influence maximization problem. In this paper, we propose a holistic solution to the influence maximization (IM) problem. (1) We introduce an opinion-cum-interaction (OI) model that closely mirrors th...
[ { "created": "Tue, 9 Feb 2016 18:21:41 GMT", "version": "v1" } ]
2016-02-10
[ [ "Galhotra", "Sainyam", "" ], [ "Arora", "Akhil", "" ], [ "Roy", "Shourya", "" ] ]
The steady growth of graph data from social networks has resulted in wide-spread research in finding solutions to the influence maximization problem. In this paper, we propose a holistic solution to the influence maximization (IM) problem. (1) We introduce an opinion-cum-interaction (OI) model that closely mirrors the ...
2311.18809
Evin P{\i}nar \"Ornek
Evin P{\i}nar \"Ornek and Yann Labb\'e and Bugra Tekin and Lingni Ma and Cem Keskin and Christian Forster and Tomas Hodan
FoundPose: Unseen Object Pose Estimation with Foundation Features
null
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose FoundPose, a model-based method for 6D pose estimation of unseen objects from a single RGB image. The method can quickly onboard new objects using their 3D models without requiring any object- or task-specific training. In contrast, existing methods typically pre-train on large-scale, task-specific dataset...
[ { "created": "Thu, 30 Nov 2023 18:52:29 GMT", "version": "v1" }, { "created": "Fri, 19 Jul 2024 09:33:12 GMT", "version": "v2" } ]
2024-07-22
[ [ "Örnek", "Evin Pınar", "" ], [ "Labbé", "Yann", "" ], [ "Tekin", "Bugra", "" ], [ "Ma", "Lingni", "" ], [ "Keskin", "Cem", "" ], [ "Forster", "Christian", "" ], [ "Hodan", "Tomas", "" ] ]
We propose FoundPose, a model-based method for 6D pose estimation of unseen objects from a single RGB image. The method can quickly onboard new objects using their 3D models without requiring any object- or task-specific training. In contrast, existing methods typically pre-train on large-scale, task-specific datasets ...
2107.14013
Jonathan Roberts PhD
Jonathan C. Roberts, Peter Butcher, Ann Sherlock and Sarah Nason
Explanatory Journeys: Visualising to Understand and Explain Administrative Justice Paths of Redress
11 pages with 10 figures, accepted for publication in IEEE Transactions on Visualization and Computer Graphics
null
null
null
cs.HC cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Administrative justice concerns the relationships between individuals and the state. It includes redress and complaints on decisions of a child's education, social care, licensing, planning, environment, housing and homelessness. However, if someone has a complaint or an issue, it is challenging for people to underst...
[ { "created": "Thu, 29 Jul 2021 14:25:58 GMT", "version": "v1" } ]
2021-07-30
[ [ "Roberts", "Jonathan C.", "" ], [ "Butcher", "Peter", "" ], [ "Sherlock", "Ann", "" ], [ "Nason", "Sarah", "" ] ]
Administrative justice concerns the relationships between individuals and the state. It includes redress and complaints on decisions of a child's education, social care, licensing, planning, environment, housing and homelessness. However, if someone has a complaint or an issue, it is challenging for people to understan...
1806.05121
Chun Lam Chan
Jean Barbier, Chun Lam Chan and Nicolas Macris
Adaptive Path Interpolation for Sparse Systems: Application to a Simple Censored Block Model
null
null
null
null
cs.IT cond-mat.dis-nn math-ph math.IT math.MP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently a new adaptive path interpolation method has been developed as a simple and versatile scheme to calculate exactly the asymptotic mutual information of Bayesian inference problems defined on dense factor graphs. These include random linear and generalized estimation, sparse superposition codes, or low-rank ma...
[ { "created": "Wed, 13 Jun 2018 15:54:36 GMT", "version": "v1" }, { "created": "Thu, 18 Jul 2019 12:26:40 GMT", "version": "v2" } ]
2019-07-19
[ [ "Barbier", "Jean", "" ], [ "Chan", "Chun Lam", "" ], [ "Macris", "Nicolas", "" ] ]
Recently a new adaptive path interpolation method has been developed as a simple and versatile scheme to calculate exactly the asymptotic mutual information of Bayesian inference problems defined on dense factor graphs. These include random linear and generalized estimation, sparse superposition codes, or low-rank matr...
1806.01571
Pengpeng Yang
Pengpeng Yang, Rongrong Ni, and Yao Zhao
Double JPEG Compression Detection by Exploring the Correlations in DCT Domain
5 pages, submitted to APSIPA ASC 2018
null
null
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the field of digital image processing, JPEG image compression technique has been widely applied. And numerous image processing software suppose this. It is likely for the images undergoing double JPEG compression to be tampered. Therefore, double JPEG compression detection schemes can provide an important clue for...
[ { "created": "Tue, 5 Jun 2018 09:20:40 GMT", "version": "v1" } ]
2018-06-06
[ [ "Yang", "Pengpeng", "" ], [ "Ni", "Rongrong", "" ], [ "Zhao", "Yao", "" ] ]
In the field of digital image processing, JPEG image compression technique has been widely applied. And numerous image processing software suppose this. It is likely for the images undergoing double JPEG compression to be tampered. Therefore, double JPEG compression detection schemes can provide an important clue for i...
1203.2299
Maxim Makatchev
Maxim Makatchev, Reid Simmons, Majd Sakr
A Cross-cultural Corpus of Annotated Verbal and Nonverbal Behaviors in Receptionist Encounters
7 pages, 3 figures, presented at the Workshop on Gaze in HRI: From Modeling to Communication (a Workshop of International Conference on Human-Robot Interaction), March 5, 2012
null
null
null
cs.CL cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the first annotated corpus of nonverbal behaviors in receptionist interactions, and the first nonverbal corpus (excluding the original video and audio data) of service encounters freely available online. Native speakers of American English and Arabic participated in a naturalistic role play at reception de...
[ { "created": "Sun, 11 Mar 2012 00:45:01 GMT", "version": "v1" } ]
2012-03-13
[ [ "Makatchev", "Maxim", "" ], [ "Simmons", "Reid", "" ], [ "Sakr", "Majd", "" ] ]
We present the first annotated corpus of nonverbal behaviors in receptionist interactions, and the first nonverbal corpus (excluding the original video and audio data) of service encounters freely available online. Native speakers of American English and Arabic participated in a naturalistic role play at reception desk...
1702.04584
Lina Antonietta Coppola
Lina Antonietta Coppola
Developing an ontology for the access to the contents of an archival fonds: the case of the Catasto Gregoriano
in Italian
null
null
null
cs.AI cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The research was proposed to exploit and extend the relational and contextual nature of the information assets of the Catasto Gregoriano, kept at the Archivio di Stato in Rome. Developed within the MODEUS project (Making Open Data Effectively Usable), this study originates from the following key ideas of MODEUS: to r...
[ { "created": "Wed, 15 Feb 2017 12:58:39 GMT", "version": "v1" } ]
2017-02-16
[ [ "Coppola", "Lina Antonietta", "" ] ]
The research was proposed to exploit and extend the relational and contextual nature of the information assets of the Catasto Gregoriano, kept at the Archivio di Stato in Rome. Developed within the MODEUS project (Making Open Data Effectively Usable), this study originates from the following key ideas of MODEUS: to req...
2310.02470
Muhammed Fatih Bal{\i}n
Muhammed Fatih Balin, Xiaojing An, Abdurrahman Ya\c{s}ar, \"Umit V. \c{C}ataly\"urek
SGORP: A Subgradient-based Method for d-Dimensional Rectilinear Partitioning
null
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
Partitioning for load balancing is a crucial first step to parallelize any type of computation. In this work, we propose SGORP, a new spatial partitioning method based on Subgradient Optimization, to solve the $d$-dimensional Rectilinear Partitioning Problem (RPP). Our proposed method allows the use of customizable o...
[ { "created": "Tue, 3 Oct 2023 22:37:27 GMT", "version": "v1" } ]
2023-10-05
[ [ "Balin", "Muhammed Fatih", "" ], [ "An", "Xiaojing", "" ], [ "Yaşar", "Abdurrahman", "" ], [ "Çatalyürek", "Ümit V.", "" ] ]
Partitioning for load balancing is a crucial first step to parallelize any type of computation. In this work, we propose SGORP, a new spatial partitioning method based on Subgradient Optimization, to solve the $d$-dimensional Rectilinear Partitioning Problem (RPP). Our proposed method allows the use of customizable obj...
2402.03772
Zeyan Zhuang
Zeyan Zhuang, Xin Zhang, Dongfang Xu, and Shenghui Song
Fundamental Limits of Two-Hop MIMO Channels: An Asymptotic Approach
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-antenna relays and intelligent reflecting surfaces (IRSs) have been utilized to construct favorable channels to improve the performance of wireless systems. A common feature between relay systems and IRS-aided systems is the two-hop multiple-input multiple-output (MIMO) channel. As a result, the mutual informat...
[ { "created": "Tue, 6 Feb 2024 07:32:02 GMT", "version": "v1" } ]
2024-02-07
[ [ "Zhuang", "Zeyan", "" ], [ "Zhang", "Xin", "" ], [ "Xu", "Dongfang", "" ], [ "Song", "Shenghui", "" ] ]
Multi-antenna relays and intelligent reflecting surfaces (IRSs) have been utilized to construct favorable channels to improve the performance of wireless systems. A common feature between relay systems and IRS-aided systems is the two-hop multiple-input multiple-output (MIMO) channel. As a result, the mutual informatio...
2203.16463
Georg Pichler
Georg Pichler and Marco Romanelli and Leonardo Rey Vega and Pablo Piantanida
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning
accepted for publication in IEEE Transactions on Dependable and Secure Computing
null
10.1109/TDSC.2023.3326230
null
cs.LG cs.AI cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated Learning is expected to provide strong privacy guarantees, as only gradients or model parameters but no plain text training data is ever exchanged either between the clients or between the clients and the central server. In this paper, we challenge this claim by introducing a simple but still very effective...
[ { "created": "Wed, 30 Mar 2022 17:01:19 GMT", "version": "v1" }, { "created": "Thu, 9 Nov 2023 08:44:44 GMT", "version": "v2" } ]
2023-11-10
[ [ "Pichler", "Georg", "" ], [ "Romanelli", "Marco", "" ], [ "Vega", "Leonardo Rey", "" ], [ "Piantanida", "Pablo", "" ] ]
Federated Learning is expected to provide strong privacy guarantees, as only gradients or model parameters but no plain text training data is ever exchanged either between the clients or between the clients and the central server. In this paper, we challenge this claim by introducing a simple but still very effective m...
2002.05607
Zheng Chen
Zheng Chen, Xing Fan, Yuan Ling, Lambert Mathias, Chenlei Guo
Pre-Training for Query Rewriting in A Spoken Language Understanding System
null
null
null
null
cs.CL cs.IR
http://creativecommons.org/licenses/by-nc-sa/4.0/
Query rewriting (QR) is an increasingly important technique to reduce customer friction caused by errors in a spoken language understanding pipeline, where the errors originate from various sources such as speech recognition errors, language understanding errors or entity resolution errors. In this work, we first pro...
[ { "created": "Thu, 13 Feb 2020 16:31:50 GMT", "version": "v1" } ]
2020-02-14
[ [ "Chen", "Zheng", "" ], [ "Fan", "Xing", "" ], [ "Ling", "Yuan", "" ], [ "Mathias", "Lambert", "" ], [ "Guo", "Chenlei", "" ] ]
Query rewriting (QR) is an increasingly important technique to reduce customer friction caused by errors in a spoken language understanding pipeline, where the errors originate from various sources such as speech recognition errors, language understanding errors or entity resolution errors. In this work, we first propo...
1909.07587
Sayan Putatunda PhD
Sayan Putatunda
A Hybrid Deep Learning Approach for Diagnosis of the Erythemato-Squamous Disease
Pre-review version of the paper accepted at the 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
10.1109/CONECCT50063.2020.9198447
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The diagnosis of the Erythemato-squamous disease (ESD) is accepted as a difficult problem in dermatology. ESD is a form of skin disease. It generally causes redness of the skin and also may cause loss of skin. They are generally due to genetic or environmental factors. ESD comprises six classes of skin conditions nam...
[ { "created": "Tue, 17 Sep 2019 04:50:28 GMT", "version": "v1" }, { "created": "Sun, 24 May 2020 04:52:54 GMT", "version": "v2" } ]
2020-09-18
[ [ "Putatunda", "Sayan", "" ] ]
The diagnosis of the Erythemato-squamous disease (ESD) is accepted as a difficult problem in dermatology. ESD is a form of skin disease. It generally causes redness of the skin and also may cause loss of skin. They are generally due to genetic or environmental factors. ESD comprises six classes of skin conditions namel...
2108.07709
Anshul Kumar
Anshul Kumar, Taylor DiJohnson, Roger Edwards, Lisa Walker
The application of adaptive minimum match k-nearest neighbors to identify at-risk students in health professions education
null
JPAE 34(3):p 171-177, September 2023
10.1097/JPA.0000000000000513
null
cs.CY cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Purpose: When a learner fails to reach a milestone, educators often wonder if there had been any warning signs that could have allowed them to intervene sooner. Machine learning can predict which students are at risk of failing a high-stakes certification exam. If predictions can be made well in advance of the exam, ...
[ { "created": "Thu, 5 Aug 2021 03:55:53 GMT", "version": "v1" }, { "created": "Sat, 5 Mar 2022 07:10:45 GMT", "version": "v2" }, { "created": "Tue, 9 Aug 2022 16:08:42 GMT", "version": "v3" } ]
2023-09-01
[ [ "Kumar", "Anshul", "" ], [ "DiJohnson", "Taylor", "" ], [ "Edwards", "Roger", "" ], [ "Walker", "Lisa", "" ] ]
Purpose: When a learner fails to reach a milestone, educators often wonder if there had been any warning signs that could have allowed them to intervene sooner. Machine learning can predict which students are at risk of failing a high-stakes certification exam. If predictions can be made well in advance of the exam, th...
2401.10744
Ziqiang Yuan Mr.
Ziqiang Yuan, Kaiyuan Wang, Shoutai Zhu, Ye Yuan, Jingya Zhou, Yanlin Zhu, Wenqi Wei
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models
Under submission of IEEE Transactions
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large Language models (LLMs) usually rely on extensive training datasets. In the financial domain, creating numerical reasoning datasets that include a mix of tables and long text often involves substantial manual annotation expenses. To address the limited data resources and reduce the annotation cost, we introduce ...
[ { "created": "Fri, 19 Jan 2024 15:09:39 GMT", "version": "v1" } ]
2024-01-22
[ [ "Yuan", "Ziqiang", "" ], [ "Wang", "Kaiyuan", "" ], [ "Zhu", "Shoutai", "" ], [ "Yuan", "Ye", "" ], [ "Zhou", "Jingya", "" ], [ "Zhu", "Yanlin", "" ], [ "Wei", "Wenqi", "" ] ]
Large Language models (LLMs) usually rely on extensive training datasets. In the financial domain, creating numerical reasoning datasets that include a mix of tables and long text often involves substantial manual annotation expenses. To address the limited data resources and reduce the annotation cost, we introduce Fi...
2008.08286
Jihoon Cha
Jihoon Cha, Junil Choi, and David J. Love
Noncoherent OOK Symbol Detection with Supervised-Learning Approach for BCC
This paper has been accepted from the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There has been a continuing demand for improving the accuracy and ease of use of medical devices used on or around the human body. Communication is critical to medical applications, and wireless body area networks (WBANs) have the potential to revolutionize diagnosis. Despite its importance, WBAN technology is still ...
[ { "created": "Wed, 19 Aug 2020 06:36:01 GMT", "version": "v1" } ]
2020-08-20
[ [ "Cha", "Jihoon", "" ], [ "Choi", "Junil", "" ], [ "Love", "David J.", "" ] ]
There has been a continuing demand for improving the accuracy and ease of use of medical devices used on or around the human body. Communication is critical to medical applications, and wireless body area networks (WBANs) have the potential to revolutionize diagnosis. Despite its importance, WBAN technology is still in...
1904.10786
Ond\v{r}ej Leng\'al
Milan \v{C}e\v{s}ka, Vojt\v{e}ch Havlena, Luk\'a\v{s} Hol\'ik, Jan Ko\v{r}enek, Ond\v{r}ej Leng\'al, Denis Matou\v{s}ek, Ji\v{r}\'i Matou\v{s}ek, Jakub Semri\v{c}, Tom\'a\v{s} Vojnar
Deep Packet Inspection in FPGAs via Approximate Nondeterministic Automata
In Proceedings of FCCM'19
null
null
null
cs.FL cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep packet inspection via regular expression (RE) matching is a crucial task of network intrusion detection systems (IDSes), which secure Internet connection against attacks and suspicious network traffic. Monitoring high-speed computer networks (100 Gbps and faster) in a single-box solution demands that the RE matc...
[ { "created": "Wed, 24 Apr 2019 13:13:07 GMT", "version": "v1" } ]
2019-04-25
[ [ "Češka", "Milan", "" ], [ "Havlena", "Vojtěch", "" ], [ "Holík", "Lukáš", "" ], [ "Kořenek", "Jan", "" ], [ "Lengál", "Ondřej", "" ], [ "Matoušek", "Denis", "" ], [ "Matoušek", "Jiří", "" ], [ "Semr...
Deep packet inspection via regular expression (RE) matching is a crucial task of network intrusion detection systems (IDSes), which secure Internet connection against attacks and suspicious network traffic. Monitoring high-speed computer networks (100 Gbps and faster) in a single-box solution demands that the RE matchi...
2011.00775
Ruo Ando
Ruo Ando, Yoshiyasu Takefuji
A Curious New Result of Resolution Strategies in Negation-Limited Inverters Problem
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generally, negation-limited inverters problem is known as a puzzle of constructing an inverter with AND gates and OR gates and a few inverters. In this paper, we introduce a curious new result about the effectiveness of two powerful ATP (Automated Theorem Proving) strategies on tackling negation limited inverter prob...
[ { "created": "Mon, 2 Nov 2020 06:52:35 GMT", "version": "v1" } ]
2020-11-03
[ [ "Ando", "Ruo", "" ], [ "Takefuji", "Yoshiyasu", "" ] ]
Generally, negation-limited inverters problem is known as a puzzle of constructing an inverter with AND gates and OR gates and a few inverters. In this paper, we introduce a curious new result about the effectiveness of two powerful ATP (Automated Theorem Proving) strategies on tackling negation limited inverter proble...
1706.07598
Antonio Jose Jimeno Yepes
Quan Tran, Andrew MacKinlay and Antonio Jimeno Yepes
Named Entity Recognition with stack residual LSTM and trainable bias decoding
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recurrent Neural Network models are the state-of-the-art for Named Entity Recognition (NER). We present two innovations to improve the performance of these models. The first innovation is the introduction of residual connections between the Stacked Recurrent Neural Network model to address the degradation problem of ...
[ { "created": "Fri, 23 Jun 2017 08:33:38 GMT", "version": "v1" }, { "created": "Tue, 11 Jul 2017 11:57:13 GMT", "version": "v2" } ]
2017-07-12
[ [ "Tran", "Quan", "" ], [ "MacKinlay", "Andrew", "" ], [ "Yepes", "Antonio Jimeno", "" ] ]
Recurrent Neural Network models are the state-of-the-art for Named Entity Recognition (NER). We present two innovations to improve the performance of these models. The first innovation is the introduction of residual connections between the Stacked Recurrent Neural Network model to address the degradation problem of de...
1303.1026
Simon Blackburn
Simon R. Blackburn
Non-overlapping codes
14 pages. Extra explanations added at some points, and an extra citation. To appear in IEEE Trans Information Theory
null
10.1109/TIT.2015.2456634
null
cs.DM cs.IT math.CO math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We say that a $q$-ary length $n$ code is \emph{non-overlapping} if the set of non-trivial prefixes of codewords and the set of non-trivial suffices of codewords are disjoint. These codes were first studied by Levenshtein in 1964, motivated by applications in synchronisation. More recently these codes were independent...
[ { "created": "Tue, 5 Mar 2013 13:26:11 GMT", "version": "v1" }, { "created": "Mon, 31 Mar 2014 15:34:50 GMT", "version": "v2" }, { "created": "Wed, 8 Jul 2015 12:53:39 GMT", "version": "v3" } ]
2016-11-15
[ [ "Blackburn", "Simon R.", "" ] ]
We say that a $q$-ary length $n$ code is \emph{non-overlapping} if the set of non-trivial prefixes of codewords and the set of non-trivial suffices of codewords are disjoint. These codes were first studied by Levenshtein in 1964, motivated by applications in synchronisation. More recently these codes were independently...
1702.07474
Fei Han
Fei Han, Xue Yang, Christopher Reardon, Yu Zhang, Hao Zhang
Simultaneous Feature and Body-Part Learning for Real-Time Robot Awareness of Human Behaviors
8 pages, 6 figures, accepted by ICRA'17
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robot awareness of human actions is an essential research problem in robotics with many important real-world applications, including human-robot collaboration and teaming. Over the past few years, depth sensors have become a standard device widely used by intelligent robots for 3D perception, which can also offer hum...
[ { "created": "Fri, 24 Feb 2017 06:35:10 GMT", "version": "v1" } ]
2017-02-27
[ [ "Han", "Fei", "" ], [ "Yang", "Xue", "" ], [ "Reardon", "Christopher", "" ], [ "Zhang", "Yu", "" ], [ "Zhang", "Hao", "" ] ]
Robot awareness of human actions is an essential research problem in robotics with many important real-world applications, including human-robot collaboration and teaming. Over the past few years, depth sensors have become a standard device widely used by intelligent robots for 3D perception, which can also offer human...
2306.12331
Aniket Sharma
Aniket Sharma and Nandan K Sinha
Decentralized Aerial Transportation and Manipulation of a Cable-Slung Payload With Swarm of Agents
null
null
null
null
cs.MA cs.RO
http://creativecommons.org/licenses/by/4.0/
With the advent of Unmanned Aerial Vehicles (UAV) and Micro Aerial Vehicles (MAV) in commercial sectors, their application for transporting and manipulating payloads has attracted many research work. A swarm of agents, cooperatively working to transport and manipulate a payload can overcome the physical limitations o...
[ { "created": "Wed, 21 Jun 2023 15:20:53 GMT", "version": "v1" } ]
2023-06-22
[ [ "Sharma", "Aniket", "" ], [ "Sinha", "Nandan K", "" ] ]
With the advent of Unmanned Aerial Vehicles (UAV) and Micro Aerial Vehicles (MAV) in commercial sectors, their application for transporting and manipulating payloads has attracted many research work. A swarm of agents, cooperatively working to transport and manipulate a payload can overcome the physical limitations of ...
2407.19894
Ivan Kruzhilov
Alexander Ponomarchuk, Ivan Kruzhilov, Galina Zubkova, Artem Shadrin, Ruslan Utegenov, Ivan Bessonov, Pavel Blinov
End-to-end SYNTAX score prediction: benchmark and methods
null
null
null
null
cs.CV eess.IV
http://creativecommons.org/licenses/by/4.0/
The SYNTAX score has become a widely used measure of coronary disease severity , crucial in selecting the optimal mode of revascularization. This paper introduces a new medical regression and classification problem - automatically estimating SYNTAX score from coronary angiography. Our study presents a comprehensive d...
[ { "created": "Mon, 29 Jul 2024 11:16:59 GMT", "version": "v1" } ]
2024-07-30
[ [ "Ponomarchuk", "Alexander", "" ], [ "Kruzhilov", "Ivan", "" ], [ "Zubkova", "Galina", "" ], [ "Shadrin", "Artem", "" ], [ "Utegenov", "Ruslan", "" ], [ "Bessonov", "Ivan", "" ], [ "Blinov", "Pavel", "" ] ...
The SYNTAX score has become a widely used measure of coronary disease severity , crucial in selecting the optimal mode of revascularization. This paper introduces a new medical regression and classification problem - automatically estimating SYNTAX score from coronary angiography. Our study presents a comprehensive dat...
2309.09134
Dimitrios Myrisiotis
Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran
Total Variation Distance Meets Probabilistic Inference
25 pages. This work has been accepted for presentation at the International Conference on Machine Learning (ICML) 2024
null
null
null
cs.DS cs.CC cs.DM cs.LG
http://creativecommons.org/licenses/by/4.0/
In this paper, we establish a novel connection between total variation (TV) distance estimation and probabilistic inference. In particular, we present an efficient, structure-preserving reduction from relative approximation of TV distance to probabilistic inference over directed graphical models. This reduction leads...
[ { "created": "Sun, 17 Sep 2023 02:12:36 GMT", "version": "v1" }, { "created": "Mon, 1 Jul 2024 08:24:41 GMT", "version": "v2" } ]
2024-07-02
[ [ "Bhattacharyya", "Arnab", "" ], [ "Gayen", "Sutanu", "" ], [ "Meel", "Kuldeep S.", "" ], [ "Myrisiotis", "Dimitrios", "" ], [ "Pavan", "A.", "" ], [ "Vinodchandran", "N. V.", "" ] ]
In this paper, we establish a novel connection between total variation (TV) distance estimation and probabilistic inference. In particular, we present an efficient, structure-preserving reduction from relative approximation of TV distance to probabilistic inference over directed graphical models. This reduction leads t...
0905.3359
Geoff Hollinger
Ath. Kehagias, G. Hollinger and A. Gelastopoulos
Searching the Nodes of a Graph: Theory and Algorithms
null
null
null
null
cs.DM cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One or more searchers must capture an invisible evader hiding in the nodes of a graph. We study this graph search problem; we emphasize that we study the capture of a node-located evader, which has received less attention than edge search. We show that in general graphs the problem of node search is easier than that ...
[ { "created": "Wed, 20 May 2009 17:15:54 GMT", "version": "v1" } ]
2009-05-21
[ [ "Kehagias", "Ath.", "" ], [ "Hollinger", "G.", "" ], [ "Gelastopoulos", "A.", "" ] ]
One or more searchers must capture an invisible evader hiding in the nodes of a graph. We study this graph search problem; we emphasize that we study the capture of a node-located evader, which has received less attention than edge search. We show that in general graphs the problem of node search is easier than that of...
2405.20713
Erik Pohle
Erik Pohle, Aysajan Abidin, Bart Preneel
Fast Evaluation of S-boxes with Garbled Circuits
15 pages, published in IEEE Transactions on Information Forensics and Security vol. 19
IEEE Transactions on Information Forensics and Security, vol. 19, pp. 5530-5544, 2024.
10.1109/TIFS.2024.3402145
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Garbling schemes are vital primitives for privacy-preserving protocols and secure two-party computation. This paper presents a projective garbling scheme that assigns $2^n$ values to wires in a circuit comprising XOR and unary projection gates. A generalization of FreeXOR allows the XOR of wires with $2^n$ values to ...
[ { "created": "Fri, 31 May 2024 09:07:44 GMT", "version": "v1" } ]
2024-06-03
[ [ "Pohle", "Erik", "" ], [ "Abidin", "Aysajan", "" ], [ "Preneel", "Bart", "" ] ]
Garbling schemes are vital primitives for privacy-preserving protocols and secure two-party computation. This paper presents a projective garbling scheme that assigns $2^n$ values to wires in a circuit comprising XOR and unary projection gates. A generalization of FreeXOR allows the XOR of wires with $2^n$ values to be...
2201.12352
Swapnil Bhosale
Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu
Automatic Audio Captioning using Attention weighted Event based Embeddings
null
null
null
null
cs.SD cs.LG eess.AS
http://creativecommons.org/licenses/by-nc-nd/4.0/
Automatic Audio Captioning (AAC) refers to the task of translating audio into a natural language that describes the audio events, source of the events and their relationships. The limited samples in AAC datasets at present, has set up a trend to incorporate transfer learning with Audio Event Detection (AED) as a pare...
[ { "created": "Fri, 28 Jan 2022 05:54:19 GMT", "version": "v1" } ]
2022-02-01
[ [ "Bhosale", "Swapnil", "" ], [ "Chakraborty", "Rupayan", "" ], [ "Kopparapu", "Sunil Kumar", "" ] ]
Automatic Audio Captioning (AAC) refers to the task of translating audio into a natural language that describes the audio events, source of the events and their relationships. The limited samples in AAC datasets at present, has set up a trend to incorporate transfer learning with Audio Event Detection (AED) as a parent...
2006.13329
Alisa Liu
Alexander Fang, Alisa Liu, Prem Seetharaman, Bryan Pardo
Bach or Mock? A Grading Function for Chorales in the Style of J.S. Bach
2 pages, 3 figures, Machine Learning for Media Discovery (ML4MD) Workshop at ICML 2020
null
null
null
cs.SD cs.LG eess.AS stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep generative systems that learn probabilistic models from a corpus of existing music do not explicitly encode knowledge of a musical style, compared to traditional rule-based systems. Thus, it can be difficult to determine whether deep models generate stylistically correct output without expert evaluation, but thi...
[ { "created": "Tue, 23 Jun 2020 21:02:55 GMT", "version": "v1" }, { "created": "Thu, 25 Jun 2020 18:56:12 GMT", "version": "v2" }, { "created": "Fri, 17 Jul 2020 16:25:28 GMT", "version": "v3" } ]
2020-07-20
[ [ "Fang", "Alexander", "" ], [ "Liu", "Alisa", "" ], [ "Seetharaman", "Prem", "" ], [ "Pardo", "Bryan", "" ] ]
Deep generative systems that learn probabilistic models from a corpus of existing music do not explicitly encode knowledge of a musical style, compared to traditional rule-based systems. Thus, it can be difficult to determine whether deep models generate stylistically correct output without expert evaluation, but this ...
2308.00295
Shamanthak Hegde
Shamanthak Hegde, Soumya Jahagirdar and Shankar Gangisetty
Making the V in Text-VQA Matter
Accepted for the CVPR 2023 Workshop on Open-Domain Reasoning Under Multi-Modal Settings
null
null
null
cs.CV cs.AI cs.CL
http://creativecommons.org/licenses/by/4.0/
Text-based VQA aims at answering questions by reading the text present in the images. It requires a large amount of scene-text relationship understanding compared to the VQA task. Recent studies have shown that the question-answer pairs in the dataset are more focused on the text present in the image but less importa...
[ { "created": "Tue, 1 Aug 2023 05:28:13 GMT", "version": "v1" } ]
2023-08-02
[ [ "Hegde", "Shamanthak", "" ], [ "Jahagirdar", "Soumya", "" ], [ "Gangisetty", "Shankar", "" ] ]
Text-based VQA aims at answering questions by reading the text present in the images. It requires a large amount of scene-text relationship understanding compared to the VQA task. Recent studies have shown that the question-answer pairs in the dataset are more focused on the text present in the image but less importanc...
1603.06798
Fran\c{c}ois Simon
Francois Simon
On The Capacity Of Noisy Computations
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an analysis of the concept of capacity for noisy com- putations, i.e. functions implemented by unreliable or random devices. An information theoretic model of noisy computation of a perfect function f (measurable function between sequence spaces) thanks to an unreliable device (random channel) F i...
[ { "created": "Tue, 22 Mar 2016 14:08:40 GMT", "version": "v1" } ]
2016-03-23
[ [ "Simon", "Francois", "" ] ]
This paper presents an analysis of the concept of capacity for noisy com- putations, i.e. functions implemented by unreliable or random devices. An information theoretic model of noisy computation of a perfect function f (measurable function between sequence spaces) thanks to an unreliable device (random channel) F is ...
2003.09516
Karen Bodie
Karen Bodie, Maximilian Brunner, Michael Pantic, Stefan Walser, Patrick Pf\"andler, Ueli Angst, Roland Siegwart, and Juan Nieto
Active Interaction Force Control for Contact-Based Inspection with a Fully Actuated Aerial Vehicle
14 pages, 17 figures
null
10.1109/TRO.2020.3036623
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents and validates active interaction force control and planning for fully actuated and omnidirectional aerial manipulation platforms, with the goal of aerial contact inspection in unstructured environments. We present a variable axis-selective impedance control which integrates direct force control fo...
[ { "created": "Fri, 20 Mar 2020 22:15:50 GMT", "version": "v1" }, { "created": "Wed, 1 Apr 2020 09:06:22 GMT", "version": "v2" }, { "created": "Tue, 5 Jan 2021 10:00:19 GMT", "version": "v3" } ]
2021-01-06
[ [ "Bodie", "Karen", "" ], [ "Brunner", "Maximilian", "" ], [ "Pantic", "Michael", "" ], [ "Walser", "Stefan", "" ], [ "Pfändler", "Patrick", "" ], [ "Angst", "Ueli", "" ], [ "Siegwart", "Roland", "" ], [ ...
This paper presents and validates active interaction force control and planning for fully actuated and omnidirectional aerial manipulation platforms, with the goal of aerial contact inspection in unstructured environments. We present a variable axis-selective impedance control which integrates direct force control for ...
2305.11615
Jingcai Guo
Yingchun Wang, Jingcai Guo, Yi Liu, Song Guo, Weizhan Zhang, Xiangyong Cao, Qinghua Zheng
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization
14 pages, 4 figures. arXiv admin note: substantial text overlap with arXiv:2212.09458
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Model substructure learning aims to find an invariant network substructure that can have better out-of-distribution (OOD) generalization than the original full structure. Existing works usually search the invariant substructure using modular risk minimization (MRM) with fully exposed out-domain data, which may bring ...
[ { "created": "Fri, 19 May 2023 11:46:36 GMT", "version": "v1" }, { "created": "Fri, 2 Jun 2023 04:29:43 GMT", "version": "v2" } ]
2023-06-05
[ [ "Wang", "Yingchun", "" ], [ "Guo", "Jingcai", "" ], [ "Liu", "Yi", "" ], [ "Guo", "Song", "" ], [ "Zhang", "Weizhan", "" ], [ "Cao", "Xiangyong", "" ], [ "Zheng", "Qinghua", "" ] ]
Model substructure learning aims to find an invariant network substructure that can have better out-of-distribution (OOD) generalization than the original full structure. Existing works usually search the invariant substructure using modular risk minimization (MRM) with fully exposed out-domain data, which may bring ab...
1407.2758
Yunquan Dong
Yunquan Dong, Zhi Chen, Pingyi Fan, Khaled Ben Letaief
Mobility-Aware Uplink Interference Model for 5G Heterogeneous Networks
14 pages,12 figures
null
10.1109/TWC.2015.2500566
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To meet the surging demand for throughput, 5G cellular networks need to be more heterogeneous and much denser, by deploying more and more small cells. In particular, the number of users in each small cell can change dramatically due to users' mobility, resulting in random and time varying uplink interference. This pa...
[ { "created": "Thu, 10 Jul 2014 11:26:59 GMT", "version": "v1" }, { "created": "Thu, 17 Jul 2014 01:13:56 GMT", "version": "v2" }, { "created": "Fri, 13 Nov 2015 09:21:34 GMT", "version": "v3" } ]
2015-11-16
[ [ "Dong", "Yunquan", "" ], [ "Chen", "Zhi", "" ], [ "Fan", "Pingyi", "" ], [ "Letaief", "Khaled Ben", "" ] ]
To meet the surging demand for throughput, 5G cellular networks need to be more heterogeneous and much denser, by deploying more and more small cells. In particular, the number of users in each small cell can change dramatically due to users' mobility, resulting in random and time varying uplink interference. This pape...
2302.10632
Wei Wei
Wei Wei and Chao Huang and Lianghao Xia and Chuxu Zhang
Multi-Modal Self-Supervised Learning for Recommendation
This paper has been published as a full paper at WWW 2023
null
10.1145/3543507.3583206
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The online emergence of multi-modal sharing platforms (eg, TikTok, Youtube) is powering personalized recommender systems to incorporate various modalities (eg, visual, textual and acoustic) into the latent user representations. While existing works on multi-modal recommendation exploit multimedia content features in ...
[ { "created": "Tue, 21 Feb 2023 12:44:17 GMT", "version": "v1" }, { "created": "Thu, 23 Feb 2023 11:48:45 GMT", "version": "v2" }, { "created": "Tue, 28 Feb 2023 12:13:25 GMT", "version": "v3" }, { "created": "Fri, 7 Apr 2023 13:41:20 GMT", "version": "v4" }, { "cr...
2023-07-19
[ [ "Wei", "Wei", "" ], [ "Huang", "Chao", "" ], [ "Xia", "Lianghao", "" ], [ "Zhang", "Chuxu", "" ] ]
The online emergence of multi-modal sharing platforms (eg, TikTok, Youtube) is powering personalized recommender systems to incorporate various modalities (eg, visual, textual and acoustic) into the latent user representations. While existing works on multi-modal recommendation exploit multimedia content features in en...
1509.05454
Jo\~ao Strapasson E.
Jo\~ao E. Strapasson and Cristiano Torezzan
A heuristic approach for designing cyclic group codes
16 pages, 4 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we propose a heuristic technique for distributing points on the surface of a unit n-dimensional Euclidean sphere, generated as the orbit of a finite cyclic subgroup of orthogonal matrices, the so called cyclic group codes. Massive numerical experiments were done and many new cyclic group codes have been...
[ { "created": "Thu, 17 Sep 2015 21:54:26 GMT", "version": "v1" } ]
2015-09-21
[ [ "Strapasson", "João E.", "" ], [ "Torezzan", "Cristiano", "" ] ]
In this paper we propose a heuristic technique for distributing points on the surface of a unit n-dimensional Euclidean sphere, generated as the orbit of a finite cyclic subgroup of orthogonal matrices, the so called cyclic group codes. Massive numerical experiments were done and many new cyclic group codes have been o...
2407.16295
Chunjiang Che
Chunjiang Che, Songze Li, Xuechao Wang
Manifoldchain: Maximizing Blockchain Throughput via Bandwidth-Clustered Sharding
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bandwidth limitation is the major bottleneck that hinders scaling throughput of proof-of-work blockchains. To guarantee security, the mining rate of the blockchain is determined by the miners with the lowest bandwidth, resulting in an inefficient bandwidth utilization among fast miners. We propose Manifoldchain, an i...
[ { "created": "Tue, 23 Jul 2024 08:52:51 GMT", "version": "v1" } ]
2024-07-24
[ [ "Che", "Chunjiang", "" ], [ "Li", "Songze", "" ], [ "Wang", "Xuechao", "" ] ]
Bandwidth limitation is the major bottleneck that hinders scaling throughput of proof-of-work blockchains. To guarantee security, the mining rate of the blockchain is determined by the miners with the lowest bandwidth, resulting in an inefficient bandwidth utilization among fast miners. We propose Manifoldchain, an inn...
1703.05881
Pavol Hell
Tomas Feder and Pavol Hell
Complexity of Correspondence Homomorphisms
12 pages, 5 figures
null
null
null
cs.DM cs.CC math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Correspondence homomorphisms are both a generalization of standard homomorphisms and a generalization of correspondence colourings. For a fixed target graph $H$, the problem is to decide whether an input graph $G$, with each edge labeled by a pair of permutations of $V(H)$, admits a homomorphism to $H$ `corresponding...
[ { "created": "Fri, 17 Mar 2017 03:58:22 GMT", "version": "v1" }, { "created": "Wed, 28 Mar 2018 23:15:08 GMT", "version": "v2" } ]
2018-03-30
[ [ "Feder", "Tomas", "" ], [ "Hell", "Pavol", "" ] ]
Correspondence homomorphisms are both a generalization of standard homomorphisms and a generalization of correspondence colourings. For a fixed target graph $H$, the problem is to decide whether an input graph $G$, with each edge labeled by a pair of permutations of $V(H)$, admits a homomorphism to $H$ `corresponding' ...
2305.03982
Yu Cheng Hung
Yu Cheng Hung and Ping Hung Chen and Jian Jiun Ding
Pitch Estimation by Denoising Preprocessor and Hybrid Estimation Model
From ICCE-Taiwan
null
null
null
cs.SD cs.MM eess.AS
http://creativecommons.org/licenses/by/4.0/
Pitch estimation is to estimate the fundamental frequency and the midi number and plays a critical role in music signal analysis and vocal signal processing. In this work, we proposed a new architecture based on a learning-based enhancement preprocessor and a combination of several traditional and deep learning pitch...
[ { "created": "Sat, 6 May 2023 09:05:11 GMT", "version": "v1" } ]
2023-05-09
[ [ "Hung", "Yu Cheng", "" ], [ "Chen", "Ping Hung", "" ], [ "Ding", "Jian Jiun", "" ] ]
Pitch estimation is to estimate the fundamental frequency and the midi number and plays a critical role in music signal analysis and vocal signal processing. In this work, we proposed a new architecture based on a learning-based enhancement preprocessor and a combination of several traditional and deep learning pitch e...
1509.00442
Darren Strash
Irina Kostitsyna, Martin N\"ollenburg, Valentin Polishchuk, Andr\'e Schulz, and Darren Strash
On Minimizing Crossings in Storyline Visualizations
6 pages, 4 figures. To appear at the 23rd International Symposium on Graph Drawing and Network Visualization (GD 2015)
null
10.1007/978-3-319-27261-0_16
null
cs.DS cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a storyline visualization, we visualize a collection of interacting characters (e.g., in a movie, play, etc.) by $x$-monotone curves that converge for each interaction, and diverge otherwise. Given a storyline with $n$ characters, we show tight lower and upper bounds on the number of crossings required in any stor...
[ { "created": "Tue, 1 Sep 2015 19:03:34 GMT", "version": "v1" } ]
2016-08-03
[ [ "Kostitsyna", "Irina", "" ], [ "Nöllenburg", "Martin", "" ], [ "Polishchuk", "Valentin", "" ], [ "Schulz", "André", "" ], [ "Strash", "Darren", "" ] ]
In a storyline visualization, we visualize a collection of interacting characters (e.g., in a movie, play, etc.) by $x$-monotone curves that converge for each interaction, and diverge otherwise. Given a storyline with $n$ characters, we show tight lower and upper bounds on the number of crossings required in any storyl...