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2206.05454
Arezou Rezazadeh
Arezou Rezazadeh
A General framework for PAC-Bayes Bounds for Meta-Learning
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/publicdomain/zero/1.0/
Meta learning automatically infers an inductive bias, that includes the hyperparameter of the base-learning algorithm, by observing data from a finite number of related tasks. This paper studies PAC-Bayes bounds on meta generalization gap. The meta-generalization gap comprises two sources of generalization gaps: the ...
[ { "created": "Sat, 11 Jun 2022 07:45:25 GMT", "version": "v1" } ]
2022-06-14
[ [ "Rezazadeh", "Arezou", "" ] ]
Meta learning automatically infers an inductive bias, that includes the hyperparameter of the base-learning algorithm, by observing data from a finite number of related tasks. This paper studies PAC-Bayes bounds on meta generalization gap. The meta-generalization gap comprises two sources of generalization gaps: the en...
1509.06035
Karim Afdel
H.Ouahi and K.Afdel and M.Machkour
Image Retrieval Based on LBP Pyramidal Multiresolution using Reversible Watermarking
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the medical field, images are increasingly used to facilitate diagnosis of diseases. These images are stored in multimedia databases accompanied by doctor s prescriptions and other information related to patients.Search for medical images has become for clinical applications an essential tool to bring effective ai...
[ { "created": "Sun, 20 Sep 2015 18:14:04 GMT", "version": "v1" } ]
2015-09-22
[ [ "Ouahi", "H.", "" ], [ "Afdel", "K.", "" ], [ "Machkour", "M.", "" ] ]
In the medical field, images are increasingly used to facilitate diagnosis of diseases. These images are stored in multimedia databases accompanied by doctor s prescriptions and other information related to patients.Search for medical images has become for clinical applications an essential tool to bring effective aid ...
1510.09193
Leslie Ann Goldberg
Ivona Bezakova, Andreas Galanis, Leslie Ann Goldberg, Heng Guo, Daniel Stefankovic
Approximation via Correlation Decay when Strong Spatial Mixing Fails
To appear in SICOMP
null
null
null
cs.CC cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Approximate counting via correlation decay is the core algorithmic technique used in the sharp delineation of the computational phase transition that arises in the approximation of the partition function of anti-ferromagnetic two-spin models. Previous analyses of correlation-decay algorithms implicitly depended on ...
[ { "created": "Fri, 30 Oct 2015 18:38:48 GMT", "version": "v1" }, { "created": "Mon, 2 Nov 2015 14:45:46 GMT", "version": "v2" }, { "created": "Wed, 17 Feb 2016 20:52:34 GMT", "version": "v3" }, { "created": "Fri, 8 Jul 2016 13:02:30 GMT", "version": "v4" }, { "cre...
2019-02-04
[ [ "Bezakova", "Ivona", "" ], [ "Galanis", "Andreas", "" ], [ "Goldberg", "Leslie Ann", "" ], [ "Guo", "Heng", "" ], [ "Stefankovic", "Daniel", "" ] ]
Approximate counting via correlation decay is the core algorithmic technique used in the sharp delineation of the computational phase transition that arises in the approximation of the partition function of anti-ferromagnetic two-spin models. Previous analyses of correlation-decay algorithms implicitly depended on the ...
1906.00784
Paul Wild
Paul Wild and Lutz Schr\"oder and Dirk Pattinson and Barbara K\"onig
A Modal Characterization Theorem for a Probabilistic Fuzzy Description Logic
arXiv admin note: text overlap with arXiv:1810.04722
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The fuzzy modality `probably` is interpreted over probabilistic type spaces by taking expected truth values. The arising probabilistic fuzzy description logic is invariant under probabilistic bisimilarity; more informatively, it is non-expansive wrt. a suitable notion of behavioural distance. In the present paper, we...
[ { "created": "Fri, 31 May 2019 04:37:45 GMT", "version": "v1" }, { "created": "Tue, 4 Jun 2019 12:57:53 GMT", "version": "v2" } ]
2019-06-05
[ [ "Wild", "Paul", "" ], [ "Schröder", "Lutz", "" ], [ "Pattinson", "Dirk", "" ], [ "König", "Barbara", "" ] ]
The fuzzy modality `probably` is interpreted over probabilistic type spaces by taking expected truth values. The arising probabilistic fuzzy description logic is invariant under probabilistic bisimilarity; more informatively, it is non-expansive wrt. a suitable notion of behavioural distance. In the present paper, we p...
1701.07666
Bogdan Groza
Bogdan Groza
Traffic models with adversarial vehicle behaviour
14 pages
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We examine the impact of adversarial actions on vehicles in traffic. Current advances in assisted/autonomous driving technologies are supposed to reduce the number of casualties, but this seems to be desired despite the recently proved insecurity of in-vehicle communication buses or components. Fortunately to some ex...
[ { "created": "Thu, 26 Jan 2017 11:57:48 GMT", "version": "v1" } ]
2017-01-27
[ [ "Groza", "Bogdan", "" ] ]
We examine the impact of adversarial actions on vehicles in traffic. Current advances in assisted/autonomous driving technologies are supposed to reduce the number of casualties, but this seems to be desired despite the recently proved insecurity of in-vehicle communication buses or components. Fortunately to some exte...
2108.00171
Min Ren
Min Ren and Lingxiao He and Xingyu Liao and Wu Liu and Yunlong Wang and Tieniu Tan
Learning Instance-level Spatial-Temporal Patterns for Person Re-identification
Accepted by ICCV 2021
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Person re-identification (Re-ID) aims to match pedestrians under dis-joint cameras. Most Re-ID methods formulate it as visual representation learning and image search, and its accuracy is consequently affected greatly by the search space. Spatial-temporal information has been proven to be efficient to filter irreleva...
[ { "created": "Sat, 31 Jul 2021 07:44:47 GMT", "version": "v1" } ]
2021-08-03
[ [ "Ren", "Min", "" ], [ "He", "Lingxiao", "" ], [ "Liao", "Xingyu", "" ], [ "Liu", "Wu", "" ], [ "Wang", "Yunlong", "" ], [ "Tan", "Tieniu", "" ] ]
Person re-identification (Re-ID) aims to match pedestrians under dis-joint cameras. Most Re-ID methods formulate it as visual representation learning and image search, and its accuracy is consequently affected greatly by the search space. Spatial-temporal information has been proven to be efficient to filter irrelevant...
1002.3238
Benjamin Piwowarski
Benjamin Piwowarski and Ingo Frommholz and Mounia Lalmas and Keith van Rijsbergen
Exploring a Multidimensional Representation of Documents and Queries (extended version)
null
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In Information Retrieval (IR), whether implicitly or explicitly, queries and documents are often represented as vectors. However, it may be more beneficial to consider documents and/or queries as multidimensional objects. Our belief is this would allow building "truly" interactive IR systems, i.e., where interaction ...
[ { "created": "Wed, 17 Feb 2010 10:25:57 GMT", "version": "v1" }, { "created": "Thu, 18 Feb 2010 13:45:17 GMT", "version": "v2" } ]
2010-02-18
[ [ "Piwowarski", "Benjamin", "" ], [ "Frommholz", "Ingo", "" ], [ "Lalmas", "Mounia", "" ], [ "van Rijsbergen", "Keith", "" ] ]
In Information Retrieval (IR), whether implicitly or explicitly, queries and documents are often represented as vectors. However, it may be more beneficial to consider documents and/or queries as multidimensional objects. Our belief is this would allow building "truly" interactive IR systems, i.e., where interaction is...
2102.01241
Bernard Mans
Dalia Popescu, Philippe Jacquet, Bernard Mans and Bartomiej Blaszczyszyn
Characterizing the Energy Trade-Offs of End-to-End Vehicular Communications using an Hyperfractal Urban Modelling
null
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
We characterize trade-offs between the end-to-end communication delay and the energy in urban vehicular communications with infrastructure assistance. Our study exploits the self-similarity of the location of communication entities in cities by modeling them with an innovative model called "hyperfractal". We show tha...
[ { "created": "Tue, 2 Feb 2021 00:53:17 GMT", "version": "v1" } ]
2021-02-03
[ [ "Popescu", "Dalia", "" ], [ "Jacquet", "Philippe", "" ], [ "Mans", "Bernard", "" ], [ "Blaszczyszyn", "Bartomiej", "" ] ]
We characterize trade-offs between the end-to-end communication delay and the energy in urban vehicular communications with infrastructure assistance. Our study exploits the self-similarity of the location of communication entities in cities by modeling them with an innovative model called "hyperfractal". We show that ...
2307.15678
Charles Assaad
Ali A\"it-Bachir, Charles K. Assaad, Christophe de Bignicourt, Emilie Devijver, Simon Ferreira, Eric Gaussier, Hosein Mohanna, Lei Zan
Case Studies of Causal Discovery from IT Monitoring Time Series
Accepted to the UAI 2023 Workshop on The History and Development of Search Methods for Causal Structure
null
null
null
cs.LG cs.AI stat.AP stat.ME
http://creativecommons.org/licenses/by/4.0/
Information technology (IT) systems are vital for modern businesses, handling data storage, communication, and process automation. Monitoring these systems is crucial for their proper functioning and efficiency, as it allows collecting extensive observational time series data for analysis. The interest in causal disc...
[ { "created": "Fri, 28 Jul 2023 17:13:00 GMT", "version": "v1" } ]
2023-07-31
[ [ "Aït-Bachir", "Ali", "" ], [ "Assaad", "Charles K.", "" ], [ "de Bignicourt", "Christophe", "" ], [ "Devijver", "Emilie", "" ], [ "Ferreira", "Simon", "" ], [ "Gaussier", "Eric", "" ], [ "Mohanna", "Hosein", ...
Information technology (IT) systems are vital for modern businesses, handling data storage, communication, and process automation. Monitoring these systems is crucial for their proper functioning and efficiency, as it allows collecting extensive observational time series data for analysis. The interest in causal discov...
2303.08396
Suyash Mahar
Suyash Mahar (UC San Diego), Hao Wang (NVIDIA), Wei Shu (Tenstorrent), Abhishek Dhanotia (Meta Inc.)
Workload Behavior Driven Memory Subsystem Design for Hyperscale
null
null
null
null
cs.DC cs.AR
http://creativecommons.org/licenses/by/4.0/
Hyperscalars run services across a large fleet of servers, serving billions of users worldwide. These services, however, behave differently than commonly available benchmark suites, resulting in server architectures that are not optimized for cloud workloads. With datacenters becoming a primary server processor marke...
[ { "created": "Wed, 15 Mar 2023 06:55:29 GMT", "version": "v1" }, { "created": "Tue, 2 May 2023 13:47:23 GMT", "version": "v2" } ]
2023-05-03
[ [ "Mahar", "Suyash", "", "UC San Diego" ], [ "Wang", "Hao", "", "NVIDIA" ], [ "Shu", "Wei", "", "Tenstorrent" ], [ "Dhanotia", "Abhishek", "", "Meta Inc." ] ]
Hyperscalars run services across a large fleet of servers, serving billions of users worldwide. These services, however, behave differently than commonly available benchmark suites, resulting in server architectures that are not optimized for cloud workloads. With datacenters becoming a primary server processor market,...
2203.14572
Xiaotong Cheng
Xiaotong Cheng and Setareh Maghsudi
Distributed Task Management in Fog Computing: A Socially Concave Bandit Game
null
null
10.1109/TGCN.2023.3276415
null
cs.MA cs.GT cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fog computing leverages the task offloading capabilities at the network's edge to improve efficiency and enable swift responses to application demands. However, the design of task allocation strategies in a fog computing network is still challenging because of the heterogeneity of fog nodes and uncertainties in syste...
[ { "created": "Mon, 28 Mar 2022 08:26:14 GMT", "version": "v1" }, { "created": "Fri, 9 Jun 2023 15:15:14 GMT", "version": "v2" } ]
2023-06-12
[ [ "Cheng", "Xiaotong", "" ], [ "Maghsudi", "Setareh", "" ] ]
Fog computing leverages the task offloading capabilities at the network's edge to improve efficiency and enable swift responses to application demands. However, the design of task allocation strategies in a fog computing network is still challenging because of the heterogeneity of fog nodes and uncertainties in system ...
1504.01207
Usman Khan
Sam Safavi and Usman A. Khan
Localization in mobile networks via virtual convex hulls
null
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we develop a \textit{distributed} algorithm to localize an arbitrary number of agents moving in a bounded region of interest. We assume that the network contains \textit{at least one} agent with known location (hereinafter referred to as an anchor), and each agent measures a noisy version of its motion...
[ { "created": "Mon, 6 Apr 2015 05:15:19 GMT", "version": "v1" }, { "created": "Sat, 21 Jan 2017 05:01:56 GMT", "version": "v2" } ]
2017-01-24
[ [ "Safavi", "Sam", "" ], [ "Khan", "Usman A.", "" ] ]
In this paper, we develop a \textit{distributed} algorithm to localize an arbitrary number of agents moving in a bounded region of interest. We assume that the network contains \textit{at least one} agent with known location (hereinafter referred to as an anchor), and each agent measures a noisy version of its motion a...
2301.10233
Andre Holzapfel
Andre Holzapfel
Introducing Political Ecology of Creative-Ai
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by-nc-nd/4.0/
This chapter introduces the perspective of political ecology to the application of artificial intelligence to artistic processes (Creative-Ai). Hence, the environmental and social impact of the development and employment of Creative-Ai are the focus of this text, when we consider them as part of an economic system th...
[ { "created": "Wed, 21 Dec 2022 15:16:22 GMT", "version": "v1" } ]
2023-01-25
[ [ "Holzapfel", "Andre", "" ] ]
This chapter introduces the perspective of political ecology to the application of artificial intelligence to artistic processes (Creative-Ai). Hence, the environmental and social impact of the development and employment of Creative-Ai are the focus of this text, when we consider them as part of an economic system that...
1609.06804
Zhouyuan Huo
Zhouyuan Huo, Bin Gu, Heng Huang
Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction
null
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the era of big data, optimizing large scale machine learning problems becomes a challenging task and draws significant attention. Asynchronous optimization algorithms come out as a promising solution. Recently, decoupled asynchronous proximal stochastic gradient descent (DAP-SGD) is proposed to minimize a composit...
[ { "created": "Thu, 22 Sep 2016 02:50:09 GMT", "version": "v1" }, { "created": "Thu, 29 Sep 2016 01:54:25 GMT", "version": "v2" } ]
2016-09-30
[ [ "Huo", "Zhouyuan", "" ], [ "Gu", "Bin", "" ], [ "Huang", "Heng", "" ] ]
In the era of big data, optimizing large scale machine learning problems becomes a challenging task and draws significant attention. Asynchronous optimization algorithms come out as a promising solution. Recently, decoupled asynchronous proximal stochastic gradient descent (DAP-SGD) is proposed to minimize a composite ...
1907.04058
Peter Fasogbon O.
Peter O. Fasogbon
Depth from Small Motion using Rank-1 Initialization
8 pages, 6 figures
14th International Conference on Computer Vision Theory and Applications, February 2019
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Depth from Small Motion (DfSM) (Ha et al., 2016) is particularly interesting for commercial handheld devices because it allows the possibility to get depth information with minimal user effort and cooperation. Due to speed and memory issue on these devices, the self calibration optimization of the method using Bundle...
[ { "created": "Tue, 9 Jul 2019 09:50:04 GMT", "version": "v1" } ]
2019-07-10
[ [ "Fasogbon", "Peter O.", "" ] ]
Depth from Small Motion (DfSM) (Ha et al., 2016) is particularly interesting for commercial handheld devices because it allows the possibility to get depth information with minimal user effort and cooperation. Due to speed and memory issue on these devices, the self calibration optimization of the method using Bundle A...
2104.04695
Ou Deng
Ou Deng, Kiichi Tago, Qun Jin
An Extended Epidemic Model on Interconnected Networks for COVID-19 to Explore the Epidemic Dynamics
9 pages, 6 figures
null
null
null
cs.CY
http://creativecommons.org/licenses/by-nc-sa/4.0/
COVID-19 has resulted in a public health global crisis. The pandemic control necessitates epidemic models that capture the trends and impacts on infectious individuals. Many exciting models can implement this but they lack practical interpretability. This study combines the epidemiological and network theories and pr...
[ { "created": "Sat, 10 Apr 2021 06:46:01 GMT", "version": "v1" } ]
2021-04-13
[ [ "Deng", "Ou", "" ], [ "Tago", "Kiichi", "" ], [ "Jin", "Qun", "" ] ]
COVID-19 has resulted in a public health global crisis. The pandemic control necessitates epidemic models that capture the trends and impacts on infectious individuals. Many exciting models can implement this but they lack practical interpretability. This study combines the epidemiological and network theories and prop...
2010.02613
Neha Das
Neha Das, Jonas Umlauft, Armin Lederer, Thomas Beckers, Sandra Hirche
Deep Learning based Uncertainty Decomposition for Real-time Control
Accepted at IFAC World Congress 2023
null
null
null
cs.LG cs.AI cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by-nc-nd/4.0/
Data-driven control in unknown environments requires a clear understanding of the involved uncertainties for ensuring safety and efficient exploration. While aleatoric uncertainty that arises from measurement noise can often be explicitly modeled given a parametric description, it can be harder to model epistemic unc...
[ { "created": "Tue, 6 Oct 2020 10:46:27 GMT", "version": "v1" }, { "created": "Tue, 24 Nov 2020 18:12:06 GMT", "version": "v2" }, { "created": "Wed, 12 Jul 2023 10:00:51 GMT", "version": "v3" } ]
2023-07-13
[ [ "Das", "Neha", "" ], [ "Umlauft", "Jonas", "" ], [ "Lederer", "Armin", "" ], [ "Beckers", "Thomas", "" ], [ "Hirche", "Sandra", "" ] ]
Data-driven control in unknown environments requires a clear understanding of the involved uncertainties for ensuring safety and efficient exploration. While aleatoric uncertainty that arises from measurement noise can often be explicitly modeled given a parametric description, it can be harder to model epistemic uncer...
2212.07818
Bernhard Klein
Torben Krieger, Bernhard Klein, Holger Fr\"oning
Towards Hardware-Specific Automatic Compression of Neural Networks
To be published at the AAAI Conference on Artificial Intelligence 2023, at the 2nd International Workshop on Practical Deep Learning in the Wild
null
null
null
cs.LG cs.PF stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Compressing neural network architectures is important to allow the deployment of models to embedded or mobile devices, and pruning and quantization are the major approaches to compress neural networks nowadays. Both methods benefit when compression parameters are selected specifically for each layer. Finding good com...
[ { "created": "Thu, 15 Dec 2022 13:34:02 GMT", "version": "v1" } ]
2022-12-16
[ [ "Krieger", "Torben", "" ], [ "Klein", "Bernhard", "" ], [ "Fröning", "Holger", "" ] ]
Compressing neural network architectures is important to allow the deployment of models to embedded or mobile devices, and pruning and quantization are the major approaches to compress neural networks nowadays. Both methods benefit when compression parameters are selected specifically for each layer. Finding good combi...
2103.02143
Hao Peng
Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong
Random Feature Attention
ICLR 2021
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Transformers are state-of-the-art models for a variety of sequence modeling tasks. At their core is an attention function which models pairwise interactions between the inputs at every timestep. While attention is powerful, it does not scale efficiently to long sequences due to its quadratic time and space complexity...
[ { "created": "Wed, 3 Mar 2021 02:48:56 GMT", "version": "v1" }, { "created": "Fri, 19 Mar 2021 21:24:06 GMT", "version": "v2" } ]
2021-03-23
[ [ "Peng", "Hao", "" ], [ "Pappas", "Nikolaos", "" ], [ "Yogatama", "Dani", "" ], [ "Schwartz", "Roy", "" ], [ "Smith", "Noah A.", "" ], [ "Kong", "Lingpeng", "" ] ]
Transformers are state-of-the-art models for a variety of sequence modeling tasks. At their core is an attention function which models pairwise interactions between the inputs at every timestep. While attention is powerful, it does not scale efficiently to long sequences due to its quadratic time and space complexity i...
2208.09363
Syver D{\o}ving Agdestein
Syver D{\o}ving Agdestein and Benjamin Sanderse
Learning filtered discretization operators: non-intrusive versus intrusive approaches
Submitted to Eccomas 2022 proceedings. Contains 12 pages, 19 references, 4 figures, and 1 table
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Simulating multi-scale phenomena such as turbulent fluid flows is typically computationally very expensive. Filtering the smaller scales allows for using coarse discretizations, however, this requires closure models to account for the effects of the unresolved on the resolved scales. The common approach is to filter ...
[ { "created": "Fri, 19 Aug 2022 14:17:57 GMT", "version": "v1" } ]
2022-08-22
[ [ "Agdestein", "Syver Døving", "" ], [ "Sanderse", "Benjamin", "" ] ]
Simulating multi-scale phenomena such as turbulent fluid flows is typically computationally very expensive. Filtering the smaller scales allows for using coarse discretizations, however, this requires closure models to account for the effects of the unresolved on the resolved scales. The common approach is to filter th...
2202.12438
Tom\'a\v{s} Masa\v{r}\'ik
Pavel Dvo\v{r}\'ak, Monika Krawczyk, Tom\'a\v{s} Masa\v{r}\'ik, Jana Novotn\'a, Pawe{\l} Rz\k{a}\.zewski, Aneta \.Zuk
List Locally Surjective Homomorphisms in Hereditary Graph Classes
26 pages, 8 figures
Proceedings: International Symposium on Algorithms and Computation, ISAAC 2022
10.4230/LIPIcs.ISAAC.2022.30
null
cs.DS cs.CC
http://creativecommons.org/licenses/by/4.0/
A locally surjective homomorphism from a graph $G$ to a graph $H$ is an edge-preserving mapping from $V(G)$ to $V(H)$ that is surjective in the neighborhood of each vertex in $G$. In the list locally surjective homomorphism problem, denoted by LLSHom($H$), the graph $H$ is fixed and the instance consists of a graph $...
[ { "created": "Fri, 25 Feb 2022 00:17:08 GMT", "version": "v1" } ]
2024-01-11
[ [ "Dvořák", "Pavel", "" ], [ "Krawczyk", "Monika", "" ], [ "Masařík", "Tomáš", "" ], [ "Novotná", "Jana", "" ], [ "Rzążewski", "Paweł", "" ], [ "Żuk", "Aneta", "" ] ]
A locally surjective homomorphism from a graph $G$ to a graph $H$ is an edge-preserving mapping from $V(G)$ to $V(H)$ that is surjective in the neighborhood of each vertex in $G$. In the list locally surjective homomorphism problem, denoted by LLSHom($H$), the graph $H$ is fixed and the instance consists of a graph $G$...
2402.11639
Advait Parulekar
Liam Collins, Advait Parulekar, Aryan Mokhtari, Sujay Sanghavi, Sanjay Shakkottai
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness
null
null
null
null
cs.LG cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A striking property of transformers is their ability to perform in-context learning (ICL), a machine learning framework in which the learner is presented with a novel context during inference implicitly through some data, and tasked with making a prediction in that context. As such, that learner must adapt to the con...
[ { "created": "Sun, 18 Feb 2024 16:37:32 GMT", "version": "v1" }, { "created": "Tue, 28 May 2024 05:15:53 GMT", "version": "v2" } ]
2024-05-29
[ [ "Collins", "Liam", "" ], [ "Parulekar", "Advait", "" ], [ "Mokhtari", "Aryan", "" ], [ "Sanghavi", "Sujay", "" ], [ "Shakkottai", "Sanjay", "" ] ]
A striking property of transformers is their ability to perform in-context learning (ICL), a machine learning framework in which the learner is presented with a novel context during inference implicitly through some data, and tasked with making a prediction in that context. As such, that learner must adapt to the conte...
1309.0563
James Lee
Siu On Chan and James R. Lee and Prasad Raghavendra and David Steurer
Approximate Constraint Satisfaction Requires Large LP Relaxations
29 pages; significant revisions, new references, simpler proofs
null
null
null
cs.CC cs.DS math.CO math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We prove super-polynomial lower bounds on the size of linear programming relaxations for approximation versions of constraint satisfaction problems. We show that for these problems, polynomial-sized linear programs are exactly as powerful as programs arising from a constant number of rounds of the Sherali-Adams hiera...
[ { "created": "Tue, 3 Sep 2013 00:30:03 GMT", "version": "v1" }, { "created": "Sun, 22 Feb 2015 14:56:25 GMT", "version": "v2" }, { "created": "Mon, 8 Feb 2016 08:11:10 GMT", "version": "v3" } ]
2016-02-09
[ [ "Chan", "Siu On", "" ], [ "Lee", "James R.", "" ], [ "Raghavendra", "Prasad", "" ], [ "Steurer", "David", "" ] ]
We prove super-polynomial lower bounds on the size of linear programming relaxations for approximation versions of constraint satisfaction problems. We show that for these problems, polynomial-sized linear programs are exactly as powerful as programs arising from a constant number of rounds of the Sherali-Adams hierarc...
1910.09578
Zhe Dong
Zhe Dong, Deniz Oktay, Ben Poole, Alexander A. Alemi
On Predictive Information in RNNs
null
null
null
null
cs.LG cs.IT math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Certain biological neurons demonstrate a remarkable capability to optimally compress the history of sensory inputs while being maximally informative about the future. In this work, we investigate if the same can be said of artificial neurons in recurrent neural networks (RNNs) trained with maximum likelihood. Empiric...
[ { "created": "Mon, 21 Oct 2019 18:12:43 GMT", "version": "v1" }, { "created": "Mon, 10 Feb 2020 20:53:42 GMT", "version": "v2" } ]
2020-02-12
[ [ "Dong", "Zhe", "" ], [ "Oktay", "Deniz", "" ], [ "Poole", "Ben", "" ], [ "Alemi", "Alexander A.", "" ] ]
Certain biological neurons demonstrate a remarkable capability to optimally compress the history of sensory inputs while being maximally informative about the future. In this work, we investigate if the same can be said of artificial neurons in recurrent neural networks (RNNs) trained with maximum likelihood. Empirical...
2107.11526
Uri Stemmer
Menachem Sadigurschi, Uri Stemmer
On the Sample Complexity of Privately Learning Axis-Aligned Rectangles
null
null
null
null
cs.LG cs.CR cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We revisit the fundamental problem of learning Axis-Aligned-Rectangles over a finite grid $X^d\subseteq{\mathbb{R}}^d$ with differential privacy. Existing results show that the sample complexity of this problem is at most $\min\left\{ d{\cdot}\log|X| \;,\; d^{1.5}{\cdot}\left(\log^*|X| \right)^{1.5}\right\}$. That is...
[ { "created": "Sat, 24 Jul 2021 04:06:11 GMT", "version": "v1" } ]
2021-07-27
[ [ "Sadigurschi", "Menachem", "" ], [ "Stemmer", "Uri", "" ] ]
We revisit the fundamental problem of learning Axis-Aligned-Rectangles over a finite grid $X^d\subseteq{\mathbb{R}}^d$ with differential privacy. Existing results show that the sample complexity of this problem is at most $\min\left\{ d{\cdot}\log|X| \;,\; d^{1.5}{\cdot}\left(\log^*|X| \right)^{1.5}\right\}$. That is, ...
2002.10670
Eric Hulburd
Eric Hulburd
Exploring BERT Parameter Efficiency on the Stanford Question Answering Dataset v2.0
11 pages, 5 figures, 3 tables
null
null
null
cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we explore the parameter efficiency of BERT arXiv:1810.04805 on version 2.0 of the Stanford Question Answering dataset (SQuAD2.0). We evaluate the parameter efficiency of BERT while freezing a varying number of final transformer layers as well as including the adapter layers proposed in arXiv:1902.00751...
[ { "created": "Tue, 25 Feb 2020 05:09:48 GMT", "version": "v1" }, { "created": "Tue, 3 Mar 2020 05:16:37 GMT", "version": "v2" } ]
2020-03-04
[ [ "Hulburd", "Eric", "" ] ]
In this paper we explore the parameter efficiency of BERT arXiv:1810.04805 on version 2.0 of the Stanford Question Answering dataset (SQuAD2.0). We evaluate the parameter efficiency of BERT while freezing a varying number of final transformer layers as well as including the adapter layers proposed in arXiv:1902.00751. ...
2012.15533
David Lorenz
Ofir T. Erlich and David H. Lorenz
Optimal Software Architecture From Initial Requirements: An End-to-End Approach
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
A software architect turns system requirements into a suitable software architecture through an architecture optimization process. However, how should the architect decide which quality improvement to prioritize, e.g., security or reliability? In software product line, should a small improvement in multiple products ...
[ { "created": "Thu, 31 Dec 2020 10:35:43 GMT", "version": "v1" } ]
2021-01-01
[ [ "Erlich", "Ofir T.", "" ], [ "Lorenz", "David H.", "" ] ]
A software architect turns system requirements into a suitable software architecture through an architecture optimization process. However, how should the architect decide which quality improvement to prioritize, e.g., security or reliability? In software product line, should a small improvement in multiple products be...
2210.10191
Changhan Wang
Changhan Wang, Hirofumi Inaguma, Peng-Jen Chen, Ilia Kulikov, Yun Tang, Wei-Ning Hsu, Michael Auli, Juan Pino
Simple and Effective Unsupervised Speech Translation
null
null
null
null
cs.CL cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The amount of labeled data to train models for speech tasks is limited for most languages, however, the data scarcity is exacerbated for speech translation which requires labeled data covering two different languages. To address this issue, we study a simple and effective approach to build speech translation systems ...
[ { "created": "Tue, 18 Oct 2022 22:26:13 GMT", "version": "v1" } ]
2022-10-20
[ [ "Wang", "Changhan", "" ], [ "Inaguma", "Hirofumi", "" ], [ "Chen", "Peng-Jen", "" ], [ "Kulikov", "Ilia", "" ], [ "Tang", "Yun", "" ], [ "Hsu", "Wei-Ning", "" ], [ "Auli", "Michael", "" ], [ "Pino",...
The amount of labeled data to train models for speech tasks is limited for most languages, however, the data scarcity is exacerbated for speech translation which requires labeled data covering two different languages. To address this issue, we study a simple and effective approach to build speech translation systems wi...
2202.13041
Wensheng Gan
Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, and Philip S. Yu
Towards Revenue Maximization with Popular and Profitable Products
ACM/IMS Transactions on Data Science. 4 figures, 5 tables
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Economic-wise, a common goal for companies conducting marketing is to maximize the return revenue/profit by utilizing the various effective marketing strategies. Consumer behavior is crucially important in economy and targeted marketing, in which behavioral economics can provide valuable insights to identify the bias...
[ { "created": "Sat, 26 Feb 2022 02:07:25 GMT", "version": "v1" } ]
2022-03-01
[ [ "Gan", "Wensheng", "" ], [ "Chen", "Guoting", "" ], [ "Yin", "Hongzhi", "" ], [ "Fournier-Viger", "Philippe", "" ], [ "Chen", "Chien-Ming", "" ], [ "Yu", "Philip S.", "" ] ]
Economic-wise, a common goal for companies conducting marketing is to maximize the return revenue/profit by utilizing the various effective marketing strategies. Consumer behavior is crucially important in economy and targeted marketing, in which behavioral economics can provide valuable insights to identify the biases...
1705.04544
Karl D\"aubel
Aaron Bernstein, Karl D\"aubel, Yann Disser, Max Klimm, Torsten M\"utze, Frieder Smolny
Distance-preserving graph contractions
An extended abstract of this work has appeared in the Proceedings of the 9th Innovations in Theoretical Computer Science Conference (ITCS) 2018
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Compression and sparsification algorithms are frequently applied in a preprocessing step before analyzing or optimizing large networks/graphs. In this paper we propose and study a new framework contracting edges of a graph (merging vertices into super-vertices) with the goal of preserving pairwise distances as accura...
[ { "created": "Fri, 12 May 2017 12:52:49 GMT", "version": "v1" }, { "created": "Tue, 12 Sep 2017 17:00:39 GMT", "version": "v2" }, { "created": "Mon, 5 Feb 2018 16:37:42 GMT", "version": "v3" }, { "created": "Wed, 13 Feb 2019 13:51:48 GMT", "version": "v4" } ]
2019-02-14
[ [ "Bernstein", "Aaron", "" ], [ "Däubel", "Karl", "" ], [ "Disser", "Yann", "" ], [ "Klimm", "Max", "" ], [ "Mütze", "Torsten", "" ], [ "Smolny", "Frieder", "" ] ]
Compression and sparsification algorithms are frequently applied in a preprocessing step before analyzing or optimizing large networks/graphs. In this paper we propose and study a new framework contracting edges of a graph (merging vertices into super-vertices) with the goal of preserving pairwise distances as accurate...
2303.16109
Sajjad Mozaffari
Sajjad Mozaffari, Mreza Alipour Sormoli, Konstantinos Koufos, and Mehrdad Dianati
Multimodal Manoeuvre and Trajectory Prediction for Automated Driving on Highways Using Transformer Networks
8 pages, 3 figures, submitted to IEEE RAL
null
null
null
cs.LG cs.RO
http://creativecommons.org/licenses/by/4.0/
Predicting the behaviour (i.e., manoeuvre/trajectory) of other road users, including vehicles, is critical for the safe and efficient operation of autonomous vehicles (AVs), a.k.a., automated driving systems (ADSs). Due to the uncertain future behaviour of vehicles, multiple future behaviour modes are often plausible...
[ { "created": "Tue, 28 Mar 2023 16:25:16 GMT", "version": "v1" }, { "created": "Wed, 26 Jul 2023 16:58:06 GMT", "version": "v2" } ]
2023-07-27
[ [ "Mozaffari", "Sajjad", "" ], [ "Sormoli", "Mreza Alipour", "" ], [ "Koufos", "Konstantinos", "" ], [ "Dianati", "Mehrdad", "" ] ]
Predicting the behaviour (i.e., manoeuvre/trajectory) of other road users, including vehicles, is critical for the safe and efficient operation of autonomous vehicles (AVs), a.k.a., automated driving systems (ADSs). Due to the uncertain future behaviour of vehicles, multiple future behaviour modes are often plausible f...
1601.00543
Xiangming Meng
Xiangming Meng and Sheng Wu and Linling Kuang and Defeng (David) Huang and Jianhua Lu
Approximate Message Passing with Nearest Neighbor Sparsity Pattern Learning
5 pages, 4 figures
null
null
null
cs.IT cs.LG math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of recovering clustered sparse signals with no prior knowledge of the sparsity pattern. Beyond simple sparsity, signals of interest often exhibits an underlying sparsity pattern which, if leveraged, can improve the reconstruction performance. However, the sparsity pattern is usually unknown a ...
[ { "created": "Mon, 4 Jan 2016 15:43:49 GMT", "version": "v1" } ]
2016-01-05
[ [ "Meng", "Xiangming", "", "David" ], [ "Wu", "Sheng", "", "David" ], [ "Kuang", "Linling", "", "David" ], [ "Defeng", "", "", "David" ], [ "Huang", "", "" ], [ "Lu", "Jianhua", "" ] ]
We consider the problem of recovering clustered sparse signals with no prior knowledge of the sparsity pattern. Beyond simple sparsity, signals of interest often exhibits an underlying sparsity pattern which, if leveraged, can improve the reconstruction performance. However, the sparsity pattern is usually unknown a pr...
2303.10145
Sudarshan Ambasamudram Rajagopalan
Kitty Varghese, Sudarshan Rajagopalan, Mohit Lamba, Kaushik Mitra
Spectrum-inspired Low-light Image Translation for Saliency Detection
Presented at The Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) 2022
null
10.1145/3571600.3571634
null
cs.CV eess.IV
http://creativecommons.org/licenses/by/4.0/
Saliency detection methods are central to several real-world applications such as robot navigation and satellite imagery. However, the performance of existing methods deteriorate under low-light conditions because training datasets mostly comprise of well-lit images. One possible solution is to collect a new dataset ...
[ { "created": "Fri, 17 Mar 2023 17:30:42 GMT", "version": "v1" } ]
2023-03-20
[ [ "Varghese", "Kitty", "" ], [ "Rajagopalan", "Sudarshan", "" ], [ "Lamba", "Mohit", "" ], [ "Mitra", "Kaushik", "" ] ]
Saliency detection methods are central to several real-world applications such as robot navigation and satellite imagery. However, the performance of existing methods deteriorate under low-light conditions because training datasets mostly comprise of well-lit images. One possible solution is to collect a new dataset fo...
2111.02354
Sapana Chaudhary
Sapana Chaudhary, Balaraman Ravindran
Smooth Imitation Learning via Smooth Costs and Smooth Policies
To appear in the Proceedings of the Fifth Joint International Conference on Data Science and Management of Data (CoDS-COMAD 2022). Research Track. ACM DL
null
10.1145/3493700.3493716
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Imitation learning (IL) is a popular approach in the continuous control setting as among other reasons it circumvents the problems of reward mis-specification and exploration in reinforcement learning (RL). In IL from demonstrations, an important challenge is to obtain agent policies that are smooth with respect to t...
[ { "created": "Wed, 3 Nov 2021 17:12:47 GMT", "version": "v1" } ]
2021-11-04
[ [ "Chaudhary", "Sapana", "" ], [ "Ravindran", "Balaraman", "" ] ]
Imitation learning (IL) is a popular approach in the continuous control setting as among other reasons it circumvents the problems of reward mis-specification and exploration in reinforcement learning (RL). In IL from demonstrations, an important challenge is to obtain agent policies that are smooth with respect to the...
2405.10457
Kristin Denlinger
Kristie Denlinger, Stephen Wechsler and Kyle Mahowald
Participle-Prepended Nominals Have Lower Entropy Than Nominals Appended After the Participle
Accepted to CogSci 2024, 6 pages, 2 figures
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
English allows for both compounds (e.g., London-made) and phrasal paraphrases (e.g., made in London). While these constructions have roughly the same truth-conditional meaning, we hypothesize that the compound allows less freedom to express the nature of the semantic relationship between the participle and the pre-pa...
[ { "created": "Thu, 16 May 2024 22:05:45 GMT", "version": "v1" } ]
2024-05-20
[ [ "Denlinger", "Kristie", "" ], [ "Wechsler", "Stephen", "" ], [ "Mahowald", "Kyle", "" ] ]
English allows for both compounds (e.g., London-made) and phrasal paraphrases (e.g., made in London). While these constructions have roughly the same truth-conditional meaning, we hypothesize that the compound allows less freedom to express the nature of the semantic relationship between the participle and the pre-part...
1006.2682
Eswar Karthikeyan
S. S. Sonavane, B. P. Patil, V. Kumar
Experimentation for Packet Loss on MSP430 and nRF24L01 Based Wireless Sensor Network
5 Pages IJANA
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper,a new design of wireless sensor network (WSN)node is discussed which is based on components with ultra low power.We ha e de eloped a Low cost and low power WSN Node using MSP430 and nRF24L01.The architectural circuit details are presented.This architecture fulfils the requirements like low cost,low powe...
[ { "created": "Mon, 14 Jun 2010 11:59:38 GMT", "version": "v1" } ]
2010-06-15
[ [ "Sonavane", "S. S.", "" ], [ "Patil", "B. P.", "" ], [ "Kumar", "V.", "" ] ]
In this paper,a new design of wireless sensor network (WSN)node is discussed which is based on components with ultra low power.We ha e de eloped a Low cost and low power WSN Node using MSP430 and nRF24L01.The architectural circuit details are presented.This architecture fulfils the requirements like low cost,low power,...
1901.06915
Xiangliang Kong
Xiangliang Kong, Jingxue Ma and Gennian Ge
New Bounds on the Field Size for Maximally Recoverable Codes Instantiating Grid-like Topologies
18 pages. arXiv admin note: text overlap with arXiv:1605.05412 by other authors
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, the rapidly increasing amounts of data created and processed through the internet resulted in distributed storage systems employing erasure coding based schemes. Aiming to balance the tradeoff between data recovery for correlated failures and efficient encoding and decoding, distributed storage syste...
[ { "created": "Mon, 21 Jan 2019 13:02:16 GMT", "version": "v1" }, { "created": "Tue, 19 Feb 2019 12:13:07 GMT", "version": "v2" } ]
2019-02-21
[ [ "Kong", "Xiangliang", "" ], [ "Ma", "Jingxue", "" ], [ "Ge", "Gennian", "" ] ]
In recent years, the rapidly increasing amounts of data created and processed through the internet resulted in distributed storage systems employing erasure coding based schemes. Aiming to balance the tradeoff between data recovery for correlated failures and efficient encoding and decoding, distributed storage systems...
2203.12677
Kyle Hsu
Kyle Hsu, Moo Jin Kim, Rafael Rafailov, Jiajun Wu, Chelsea Finn
Vision-Based Manipulators Need to Also See from Their Hands
First two authors contributed equally. ICLR 2022 (oral) camera-ready. 30 pages, 20 figures. Project website: https://sites.google.com/view/seeing-from-hands
null
null
null
cs.RO cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
We study how the choice of visual perspective affects learning and generalization in the context of physical manipulation from raw sensor observations. Compared with the more commonly used global third-person perspective, a hand-centric (eye-in-hand) perspective affords reduced observability, but we find that it cons...
[ { "created": "Tue, 15 Mar 2022 18:46:18 GMT", "version": "v1" } ]
2022-03-25
[ [ "Hsu", "Kyle", "" ], [ "Kim", "Moo Jin", "" ], [ "Rafailov", "Rafael", "" ], [ "Wu", "Jiajun", "" ], [ "Finn", "Chelsea", "" ] ]
We study how the choice of visual perspective affects learning and generalization in the context of physical manipulation from raw sensor observations. Compared with the more commonly used global third-person perspective, a hand-centric (eye-in-hand) perspective affords reduced observability, but we find that it consis...
1304.1836
arXiv Admin
Tairen Sun
A Simulation and Modeling of Access Points with Definition Language
Withdrawn by arXiv admins
null
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This submission has been withdrawn by arXiv administrators because it contains fictitious content and was submitted under a pseudonym, which is against arXiv policy.
[ { "created": "Sat, 6 Apr 2013 00:18:59 GMT", "version": "v1" }, { "created": "Thu, 11 Apr 2013 19:06:01 GMT", "version": "v2" } ]
2015-01-22
[ [ "Sun", "Tairen", "" ] ]
This submission has been withdrawn by arXiv administrators because it contains fictitious content and was submitted under a pseudonym, which is against arXiv policy.
2402.08267
Kei Iino
Kei Iino, Shunsuke Akamatsu, Hiroshi Watanabe, Shohei Enomoto, Akira Sakamoto, Takeharu Eda
Improving Image Coding for Machines through Optimizing Encoder via Auxiliary Loss
This version has been removed by arXiv administrators as the submitter did not have the right to agree to the license at the time of submission
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Image coding for machines (ICM) aims to compress images for machine analysis using recognition models rather than human vision. Hence, in ICM, it is important for the encoder to recognize and compress the information necessary for the machine recognition task. There are two main approaches in learned ICM; optimizatio...
[ { "created": "Tue, 13 Feb 2024 07:45:25 GMT", "version": "v1" } ]
2024-03-07
[ [ "Iino", "Kei", "" ], [ "Akamatsu", "Shunsuke", "" ], [ "Watanabe", "Hiroshi", "" ], [ "Enomoto", "Shohei", "" ], [ "Sakamoto", "Akira", "" ], [ "Eda", "Takeharu", "" ] ]
Image coding for machines (ICM) aims to compress images for machine analysis using recognition models rather than human vision. Hence, in ICM, it is important for the encoder to recognize and compress the information necessary for the machine recognition task. There are two main approaches in learned ICM; optimization ...
1907.07818
Manash Pratim Barman
Manash Pratim Barman, Amit Awekar, Sambhav Kothari
Decoding the Style and Bias of Song Lyrics
Accepted for ACM SIGIR 2019
null
null
null
cs.IR cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The central idea of this paper is to gain a deeper understanding of song lyrics computationally. We focus on two aspects: style and biases of song lyrics. All prior works to understand these two aspects are limited to manual analysis of a small corpus of song lyrics. In contrast, we analyzed more than half a million ...
[ { "created": "Wed, 17 Jul 2019 23:57:46 GMT", "version": "v1" } ]
2019-07-19
[ [ "Barman", "Manash Pratim", "" ], [ "Awekar", "Amit", "" ], [ "Kothari", "Sambhav", "" ] ]
The central idea of this paper is to gain a deeper understanding of song lyrics computationally. We focus on two aspects: style and biases of song lyrics. All prior works to understand these two aspects are limited to manual analysis of a small corpus of song lyrics. In contrast, we analyzed more than half a million so...
2402.05605
Andrew Fuchs
Andrew Fuchs, Andrea Passarella, and Marco Conti
Optimizing Delegation in Collaborative Human-AI Hybrid Teams
null
null
null
null
cs.AI cs.HC cs.LG
http://creativecommons.org/licenses/by/4.0/
When humans and autonomous systems operate together as what we refer to as a hybrid team, we of course wish to ensure the team operates successfully and effectively. We refer to team members as agents. In our proposed framework, we address the case of hybrid teams in which, at any time, only one team member (the cont...
[ { "created": "Thu, 8 Feb 2024 12:04:43 GMT", "version": "v1" } ]
2024-02-09
[ [ "Fuchs", "Andrew", "" ], [ "Passarella", "Andrea", "" ], [ "Conti", "Marco", "" ] ]
When humans and autonomous systems operate together as what we refer to as a hybrid team, we of course wish to ensure the team operates successfully and effectively. We refer to team members as agents. In our proposed framework, we address the case of hybrid teams in which, at any time, only one team member (the contro...
1312.7354
Md. Selim Al Mamun
Md. Selim Al Mamun, Syed Monowar Hossain
Design of Reversible Random Access Memory
null
International Journal of Computer Applications,Volume 56 - Number 15 , Year of Publication: 2012
10.5120/8967-3182
null
cs.ET cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reversible logic has become immensely popular research area and its applications have spread in various technologies for their low power consumption. In this paper we proposed an efficient design of random access memory using reversible logic. In the way of designing the reversible random access memory we proposed a ...
[ { "created": "Sun, 22 Dec 2013 15:13:12 GMT", "version": "v1" } ]
2013-12-31
[ [ "Mamun", "Md. Selim Al", "" ], [ "Hossain", "Syed Monowar", "" ] ]
Reversible logic has become immensely popular research area and its applications have spread in various technologies for their low power consumption. In this paper we proposed an efficient design of random access memory using reversible logic. In the way of designing the reversible random access memory we proposed a re...
2211.11186
Zhiyi Xue
Yiting Wu, Zhaodi Zhang, Zhiyi Xue, Si Liu, Min Zhang
DualApp: Tight Over-Approximation for Neural Network Robustness Verification via Under-Approximation
13 pages, 9 fugures, 3 tables
null
null
null
cs.SE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The robustness of neural networks is fundamental to the hosting system's reliability and security. Formal verification has been proven to be effective in providing provable robustness guarantees. To improve the verification scalability, over-approximating the non-linear activation functions in neural networks by line...
[ { "created": "Mon, 21 Nov 2022 05:09:34 GMT", "version": "v1" } ]
2022-11-22
[ [ "Wu", "Yiting", "" ], [ "Zhang", "Zhaodi", "" ], [ "Xue", "Zhiyi", "" ], [ "Liu", "Si", "" ], [ "Zhang", "Min", "" ] ]
The robustness of neural networks is fundamental to the hosting system's reliability and security. Formal verification has been proven to be effective in providing provable robustness guarantees. To improve the verification scalability, over-approximating the non-linear activation functions in neural networks by linear...
2203.07990
Abhishek Dhankar
Abhishek Dhankar, Osmar R. Za\"iane and Francois Bolduc
UofA-Truth at Factify 2022 : Transformer And Transfer Learning Based Multi-Modal Fact-Checking
null
null
null
null
cs.MM cs.AI cs.CL
http://creativecommons.org/licenses/by/4.0/
Identifying fake news is a very difficult task, especially when considering the multiple modes of conveying information through text, image, video and/or audio. We attempted to tackle the problem of automated misinformation/disinformation detection in multi-modal news sources (including text and images) through our s...
[ { "created": "Fri, 28 Jan 2022 18:13:03 GMT", "version": "v1" } ]
2022-03-16
[ [ "Dhankar", "Abhishek", "" ], [ "Zaïane", "Osmar R.", "" ], [ "Bolduc", "Francois", "" ] ]
Identifying fake news is a very difficult task, especially when considering the multiple modes of conveying information through text, image, video and/or audio. We attempted to tackle the problem of automated misinformation/disinformation detection in multi-modal news sources (including text and images) through our sim...
2403.00434
Zhouxiang Zhao
Zhouxiang Zhao, Zhaohui Yang, Ye Hu, Qianqian Yang, Wei Xu, Zhaoyang Zhang
Probabilistic Semantic Communication over Wireless Networks with Rate Splitting
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, the problem of joint transmission and computation resource allocation for probabilistic semantic communication (PSC) system with rate splitting multiple access (RSMA) is investigated. In the considered model, the base station (BS) needs to transmit a large amount of data to multiple users with RSMA. Du...
[ { "created": "Fri, 1 Mar 2024 10:36:04 GMT", "version": "v1" } ]
2024-03-04
[ [ "Zhao", "Zhouxiang", "" ], [ "Yang", "Zhaohui", "" ], [ "Hu", "Ye", "" ], [ "Yang", "Qianqian", "" ], [ "Xu", "Wei", "" ], [ "Zhang", "Zhaoyang", "" ] ]
In this paper, the problem of joint transmission and computation resource allocation for probabilistic semantic communication (PSC) system with rate splitting multiple access (RSMA) is investigated. In the considered model, the base station (BS) needs to transmit a large amount of data to multiple users with RSMA. Due ...
2201.04913
Laurent Mertens
Laurent Mertens, Joost Vennekens
Compressing Word Embeddings Using Syllables
19 pages 3 figures 11 tables
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
This work examines the possibility of using syllable embeddings, instead of the often used $n$-gram embeddings, as subword embeddings. We investigate this for two languages: English and Dutch. To this end, we also translated two standard English word embedding evaluation datasets, WordSim353 and SemEval-2017, to Dutc...
[ { "created": "Thu, 13 Jan 2022 12:09:44 GMT", "version": "v1" } ]
2022-01-14
[ [ "Mertens", "Laurent", "" ], [ "Vennekens", "Joost", "" ] ]
This work examines the possibility of using syllable embeddings, instead of the often used $n$-gram embeddings, as subword embeddings. We investigate this for two languages: English and Dutch. To this end, we also translated two standard English word embedding evaluation datasets, WordSim353 and SemEval-2017, to Dutch....
2406.04470
Haokun Zhou
Haokun Zhou, Yipeng Hong
DiffuSyn Bench: Evaluating Vision-Language Models on Real-World Complexities with Diffusion-Generated Synthetic Benchmarks
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
This study assesses the ability of Large Vision-Language Models (LVLMs) to differentiate between AI-generated and human-generated images. It introduces a new automated benchmark construction method for this evaluation. The experiment compared common LVLMs with human participants using a mixed dataset of AI and human-...
[ { "created": "Thu, 6 Jun 2024 19:50:33 GMT", "version": "v1" }, { "created": "Thu, 13 Jun 2024 16:46:22 GMT", "version": "v2" } ]
2024-06-14
[ [ "Zhou", "Haokun", "" ], [ "Hong", "Yipeng", "" ] ]
This study assesses the ability of Large Vision-Language Models (LVLMs) to differentiate between AI-generated and human-generated images. It introduces a new automated benchmark construction method for this evaluation. The experiment compared common LVLMs with human participants using a mixed dataset of AI and human-cr...
cs/0508053
Peter Turney
Peter D. Turney (National Research Council of Canada)
Measuring Semantic Similarity by Latent Relational Analysis
6 pages, related work available at http://purl.org/peter.turney/
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05), (2005), Edinburgh, Scotland, 1136-1141
null
NRC-48255
cs.LG cs.CL cs.IR
null
This paper introduces Latent Relational Analysis (LRA), a method for measuring semantic similarity. LRA measures similarity in the semantic relations between two pairs of words. When two pairs have a high degree of relational similarity, they are analogous. For example, the pair cat:meow is analogous to the pair dog:...
[ { "created": "Wed, 10 Aug 2005 19:35:57 GMT", "version": "v1" } ]
2007-05-23
[ [ "Turney", "Peter D.", "", "National Research Council of Canada" ] ]
This paper introduces Latent Relational Analysis (LRA), a method for measuring semantic similarity. LRA measures similarity in the semantic relations between two pairs of words. When two pairs have a high degree of relational similarity, they are analogous. For example, the pair cat:meow is analogous to the pair dog:ba...
2305.03624
Yitong Ji
Yitong Ji, Aixin Sun, Jie Zhang
Retraining A Graph-based Recommender with Interests Disentanglement
null
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a practical recommender system, new interactions are continuously observed. Some interactions are expected, because they largely follow users' long-term preferences. Some other interactions are indications of recent trends in user preference changes or marketing positions of new items. Accordingly, the recommender...
[ { "created": "Fri, 5 May 2023 15:36:33 GMT", "version": "v1" } ]
2023-05-08
[ [ "Ji", "Yitong", "" ], [ "Sun", "Aixin", "" ], [ "Zhang", "Jie", "" ] ]
In a practical recommender system, new interactions are continuously observed. Some interactions are expected, because they largely follow users' long-term preferences. Some other interactions are indications of recent trends in user preference changes or marketing positions of new items. Accordingly, the recommender n...
2304.05483
Lasse Peters
Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora
Contingency Games for Multi-Agent Interaction
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Contingency planning, wherein an agent generates a set of possible plans conditioned on the outcome of an uncertain event, is an increasingly popular way for robots to act under uncertainty. In this work we take a game-theoretic perspective on contingency planning, tailored to multi-agent scenarios in which a robot's...
[ { "created": "Tue, 11 Apr 2023 20:30:17 GMT", "version": "v1" }, { "created": "Fri, 14 Apr 2023 10:01:38 GMT", "version": "v2" }, { "created": "Fri, 18 Aug 2023 13:58:36 GMT", "version": "v3" }, { "created": "Thu, 21 Dec 2023 18:52:18 GMT", "version": "v4" } ]
2023-12-22
[ [ "Peters", "Lasse", "" ], [ "Bajcsy", "Andrea", "" ], [ "Chiu", "Chih-Yuan", "" ], [ "Fridovich-Keil", "David", "" ], [ "Laine", "Forrest", "" ], [ "Ferranti", "Laura", "" ], [ "Alonso-Mora", "Javier", "" ...
Contingency planning, wherein an agent generates a set of possible plans conditioned on the outcome of an uncertain event, is an increasingly popular way for robots to act under uncertainty. In this work we take a game-theoretic perspective on contingency planning, tailored to multi-agent scenarios in which a robot's a...
2305.16750
Anna Wr\'oblewska
Anna Wr\'oblewska, Bartosz Pieli\'nski, Karolina Seweryn, Sylwia Sysko-Roma\'nczuk, Karol Saputa, Aleksandra Wichrowska, Hanna Schreiber
Automating the Analysis of Institutional Design in International Agreements
11 pages, 8 figures, accepted to ICCS 2023. arXiv admin note: substantial text overlap with arXiv:2209.00944
null
10.1007/978-3-031-36024-4_5
null
cs.CL cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper explores the automatic knowledge extraction of formal institutional design - norms, rules, and actors - from international agreements. The focus was to analyze the relationship between the visibility and centrality of actors in the formal institutional design in regulating critical aspects of cultural heri...
[ { "created": "Fri, 26 May 2023 08:57:11 GMT", "version": "v1" } ]
2023-09-08
[ [ "Wróblewska", "Anna", "" ], [ "Pieliński", "Bartosz", "" ], [ "Seweryn", "Karolina", "" ], [ "Sysko-Romańczuk", "Sylwia", "" ], [ "Saputa", "Karol", "" ], [ "Wichrowska", "Aleksandra", "" ], [ "Schreiber", "Han...
This paper explores the automatic knowledge extraction of formal institutional design - norms, rules, and actors - from international agreements. The focus was to analyze the relationship between the visibility and centrality of actors in the formal institutional design in regulating critical aspects of cultural herita...
0709.0259
Chien-Hwa Hwang
Chien-Hwa Hwang and Shih-Chang Chen
Spectrum Sensing in Wideband OFDM Cognitive Radios
30 pages, 7 figures, submitted to IEEE Transactions on Signal Processing, Aug. 2007
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, detection of the primary user (PU) signal in an orthogonal frequency division multiplexing (OFDM) based cognitive radio (CR) system is addressed. According to the prior knowledge of the PU signal known to the detector, three detection algorithms based on the Neyman-Pearson philosophy are proposed. In t...
[ { "created": "Mon, 3 Sep 2007 15:16:20 GMT", "version": "v1" }, { "created": "Mon, 6 Oct 2008 05:04:22 GMT", "version": "v2" } ]
2008-10-06
[ [ "Hwang", "Chien-Hwa", "" ], [ "Chen", "Shih-Chang", "" ] ]
In this paper, detection of the primary user (PU) signal in an orthogonal frequency division multiplexing (OFDM) based cognitive radio (CR) system is addressed. According to the prior knowledge of the PU signal known to the detector, three detection algorithms based on the Neyman-Pearson philosophy are proposed. In the...
2310.11344
Murilo Varges da Silva
Lucca de Freitas Santos, Murilo Varges da Silva
The effect of stemming and lemmatization on Portuguese fake news text classification
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
With the popularization of the internet, smartphones and social media, information is being spread quickly and easily way, which implies bigger traffic of information in the world, but there is a problem that is harming society with the dissemination of fake news. With a bigger flow of information, some people are tr...
[ { "created": "Tue, 17 Oct 2023 15:26:40 GMT", "version": "v1" } ]
2023-10-18
[ [ "Santos", "Lucca de Freitas", "" ], [ "da Silva", "Murilo Varges", "" ] ]
With the popularization of the internet, smartphones and social media, information is being spread quickly and easily way, which implies bigger traffic of information in the world, but there is a problem that is harming society with the dissemination of fake news. With a bigger flow of information, some people are tryi...
2308.08873
Mahyar Jahaninasab
Mahyar Jahaninasab, Mohamad Ali Bijarchi
Enhancing Convergence Speed with Feature-Enforcing Physics-Informed Neural Networks: Utilizing Boundary Conditions as Prior Knowledge for Faster Convergence
26 pages, 10 figures, 6 tables
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
This study introduces an accelerated training method for Vanilla Physics-Informed-Neural-Networks (PINN) addressing three factors that imbalance the loss function: initial weight state of a neural network, domain to boundary points ratio, and loss weighting factor. We propose a novel two-stage training method. During...
[ { "created": "Thu, 17 Aug 2023 09:10:07 GMT", "version": "v1" }, { "created": "Fri, 15 Sep 2023 17:13:59 GMT", "version": "v2" }, { "created": "Wed, 27 Sep 2023 07:43:29 GMT", "version": "v3" }, { "created": "Sat, 6 Apr 2024 12:30:26 GMT", "version": "v4" } ]
2024-04-09
[ [ "Jahaninasab", "Mahyar", "" ], [ "Bijarchi", "Mohamad Ali", "" ] ]
This study introduces an accelerated training method for Vanilla Physics-Informed-Neural-Networks (PINN) addressing three factors that imbalance the loss function: initial weight state of a neural network, domain to boundary points ratio, and loss weighting factor. We propose a novel two-stage training method. During t...
2209.05603
Zhenishbek Zhakypov
Zhenishbek Zhakypov, Yimeng Qin, and Allison Okamura
Hoxels: Fully 3-D Printed Soft Multi-Modal & Multi-Contact Haptic Voxel Displays for Enriched Tactile Information Transfer
The extended abstract paper was presented in the LEVERAGING ADVANCEMENTS IN SMART MATERIALS SCIENCE: SOFT ROBOTS GAINING NEW ABILITIES THROUGH SMART AND FUNCTIONAL MATERIALS workshop at the 2022 IEEE International Conference on Robotics and Automation
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-sa/4.0/
Wrist-worn haptic interfaces can deliver a wide range of tactile cues for communication of information and interaction with virtual objects. Unlike fingertips, the wrist and forearm provide a considerably large area of skin that allows the placement of multiple haptic actuators as a display for enriching tactile info...
[ { "created": "Mon, 12 Sep 2022 20:38:03 GMT", "version": "v1" } ]
2022-09-14
[ [ "Zhakypov", "Zhenishbek", "" ], [ "Qin", "Yimeng", "" ], [ "Okamura", "Allison", "" ] ]
Wrist-worn haptic interfaces can deliver a wide range of tactile cues for communication of information and interaction with virtual objects. Unlike fingertips, the wrist and forearm provide a considerably large area of skin that allows the placement of multiple haptic actuators as a display for enriching tactile inform...
2305.00646
Ziwei Yu
Ziwei Yu, Chen Li, Linlin Yang, Xiaoxu Zheng, Michael Bi Mi, Gim Hee Lee, Angela Yao
Overcoming the Trade-off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction
CVPR 2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Direct mesh fitting for 3D hand shape reconstruction is highly accurate. However, the reconstructed meshes are prone to artifacts and do not appear as plausible hand shapes. Conversely, parametric models like MANO ensure plausible hand shapes but are not as accurate as the non-parametric methods. In this work, we int...
[ { "created": "Mon, 1 May 2023 03:38:01 GMT", "version": "v1" } ]
2023-05-02
[ [ "Yu", "Ziwei", "" ], [ "Li", "Chen", "" ], [ "Yang", "Linlin", "" ], [ "Zheng", "Xiaoxu", "" ], [ "Mi", "Michael Bi", "" ], [ "Lee", "Gim Hee", "" ], [ "Yao", "Angela", "" ] ]
Direct mesh fitting for 3D hand shape reconstruction is highly accurate. However, the reconstructed meshes are prone to artifacts and do not appear as plausible hand shapes. Conversely, parametric models like MANO ensure plausible hand shapes but are not as accurate as the non-parametric methods. In this work, we intro...
1807.01745
Tianze Shi
Carlos G\'omez-Rodr\'iguez and Tianze Shi and Lillian Lee
Global Transition-based Non-projective Dependency Parsing
Proceedings of ACL 2018. 13 pages
Proceedings of ACL 2018
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Shi, Huang, and Lee (2017) obtained state-of-the-art results for English and Chinese dependency parsing by combining dynamic-programming implementations of transition-based dependency parsers with a minimal set of bidirectional LSTM features. However, their results were limited to projective parsing. In this paper, w...
[ { "created": "Wed, 4 Jul 2018 19:09:40 GMT", "version": "v1" } ]
2018-07-06
[ [ "Gómez-Rodríguez", "Carlos", "" ], [ "Shi", "Tianze", "" ], [ "Lee", "Lillian", "" ] ]
Shi, Huang, and Lee (2017) obtained state-of-the-art results for English and Chinese dependency parsing by combining dynamic-programming implementations of transition-based dependency parsers with a minimal set of bidirectional LSTM features. However, their results were limited to projective parsing. In this paper, we ...
2305.09974
Kai Wang
Kai Wang and Siqiang Luo and Dan Lin
River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning
9 pages, 2 figures
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study Graph Neural Networks (GNNs)-based embedding techniques for knowledge graph (KG) reasoning. For the first time, we link the path redundancy issue in the state-of-the-art KG reasoning models based on path encoding and message passing to the transformation error in model training, which brings us new theoretic...
[ { "created": "Wed, 17 May 2023 06:13:28 GMT", "version": "v1" } ]
2023-05-18
[ [ "Wang", "Kai", "" ], [ "Luo", "Siqiang", "" ], [ "Lin", "Dan", "" ] ]
We study Graph Neural Networks (GNNs)-based embedding techniques for knowledge graph (KG) reasoning. For the first time, we link the path redundancy issue in the state-of-the-art KG reasoning models based on path encoding and message passing to the transformation error in model training, which brings us new theoretical...
2205.03525
Yuhan Xie
Yuhan Xie, Kexin Jiang, Zhiyong Zhang, Shaolong Chen, Xiaodong Zhang and Changzhen Qiu
Automatic segmentation of meniscus based on MAE self-supervision and point-line weak supervision paradigm
8 pages,10 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Medical image segmentation based on deep learning is often faced with the problems of insufficient datasets and long time-consuming labeling. In this paper, we introduce the self-supervised method MAE(Masked Autoencoders) into knee joint images to provide a good initial weight for the segmentation model and improve t...
[ { "created": "Sat, 7 May 2022 02:57:50 GMT", "version": "v1" } ]
2022-05-10
[ [ "Xie", "Yuhan", "" ], [ "Jiang", "Kexin", "" ], [ "Zhang", "Zhiyong", "" ], [ "Chen", "Shaolong", "" ], [ "Zhang", "Xiaodong", "" ], [ "Qiu", "Changzhen", "" ] ]
Medical image segmentation based on deep learning is often faced with the problems of insufficient datasets and long time-consuming labeling. In this paper, we introduce the self-supervised method MAE(Masked Autoencoders) into knee joint images to provide a good initial weight for the segmentation model and improve the...
cs/0205067
Ted Pedersen
Ted Pedersen
Evaluating the Effectiveness of Ensembles of Decision Trees in Disambiguating Senseval Lexical Samples
Appears in the Proceedings of the ACL-02 Workshop on Word Sense Disambiguation: Recent Successes and Future Directions, July 11, 2002, Philadelphia, PA
null
null
null
cs.CL
null
This paper presents an evaluation of an ensemble--based system that participated in the English and Spanish lexical sample tasks of Senseval-2. The system combines decision trees of unigrams, bigrams, and co--occurrences into a single classifier. The analysis is extended to include the Senseval-1 data.
[ { "created": "Mon, 27 May 2002 18:42:10 GMT", "version": "v1" } ]
2007-05-23
[ [ "Pedersen", "Ted", "" ] ]
This paper presents an evaluation of an ensemble--based system that participated in the English and Spanish lexical sample tasks of Senseval-2. The system combines decision trees of unigrams, bigrams, and co--occurrences into a single classifier. The analysis is extended to include the Senseval-1 data.
1810.01223
Max A. Deppert
Max A. Deppert, Klaus Jansen
Near-Linear Approximation Algorithms for Scheduling Problems with Batch Setup Times
null
null
10.1145/3323165.3323200
null
cs.DS cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the scheduling of $n$ jobs divided into $c$ classes on $m$ identical parallel machines. For every class there is a setup time which is required whenever a machine switches from the processing of one class to another class. The objective is to find a schedule that minimizes the makespan. We give near-li...
[ { "created": "Tue, 2 Oct 2018 13:14:46 GMT", "version": "v1" }, { "created": "Wed, 1 May 2019 17:01:08 GMT", "version": "v2" } ]
2019-05-02
[ [ "Deppert", "Max A.", "" ], [ "Jansen", "Klaus", "" ] ]
We investigate the scheduling of $n$ jobs divided into $c$ classes on $m$ identical parallel machines. For every class there is a setup time which is required whenever a machine switches from the processing of one class to another class. The objective is to find a schedule that minimizes the makespan. We give near-line...
1906.09384
Mayank Agarwal
Sohini Upadhyay, Mayank Agarwal, Djallel Bounneffouf, Yasaman Khazaeni
A Bandit Approach to Posterior Dialog Orchestration Under a Budget
2nd Conversational AI Workshop, NeurIPS 2018
null
null
null
cs.AI cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Building multi-domain AI agents is a challenging task and an open problem in the area of AI. Within the domain of dialog, the ability to orchestrate multiple independently trained dialog agents, or skills, to create a unified system is of particular significance. In this work, we study the task of online posterior di...
[ { "created": "Sat, 22 Jun 2019 04:02:26 GMT", "version": "v1" } ]
2019-06-25
[ [ "Upadhyay", "Sohini", "" ], [ "Agarwal", "Mayank", "" ], [ "Bounneffouf", "Djallel", "" ], [ "Khazaeni", "Yasaman", "" ] ]
Building multi-domain AI agents is a challenging task and an open problem in the area of AI. Within the domain of dialog, the ability to orchestrate multiple independently trained dialog agents, or skills, to create a unified system is of particular significance. In this work, we study the task of online posterior dial...
2303.17328
Vanessa Wirth
Vanessa Wirth, Vanessa Wirth
Author-Unification: Name-, Institution-, and Career-Sharing Co-authors
SIGBOVIK 2023
null
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we investigate the phenomenon of Author-UnificAtion (AUA), which describes the high structural similarity of two co-authoring engineers that share the same forename, surname, institution, and academic career without being related by blood. So far, prior work has only explored similar surnames and instit...
[ { "created": "Tue, 28 Mar 2023 11:55:45 GMT", "version": "v1" }, { "created": "Sat, 1 Apr 2023 09:08:34 GMT", "version": "v2" } ]
2023-04-04
[ [ "Wirth", "Vanessa", "" ], [ "Wirth", "Vanessa", "" ] ]
In this work, we investigate the phenomenon of Author-UnificAtion (AUA), which describes the high structural similarity of two co-authoring engineers that share the same forename, surname, institution, and academic career without being related by blood. So far, prior work has only explored similar surnames and institut...
2310.14065
Durgakant Pushp
Durgakant Pushp, Zheng Chen, Chaomin Luo, Jason M. Gregory and Lantao Liu
POVNav: A Pareto-Optimal Mapless Visual Navigator
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-sa/4.0/
Mapless navigation has emerged as a promising approach for enabling autonomous robots to navigate in environments where pre-existing maps may be inaccurate, outdated, or unavailable. In this work, we propose an image-based local representation of the environment immediately around a robot to parse navigability. We fu...
[ { "created": "Sat, 21 Oct 2023 16:56:02 GMT", "version": "v1" } ]
2023-10-24
[ [ "Pushp", "Durgakant", "" ], [ "Chen", "Zheng", "" ], [ "Luo", "Chaomin", "" ], [ "Gregory", "Jason M.", "" ], [ "Liu", "Lantao", "" ] ]
Mapless navigation has emerged as a promising approach for enabling autonomous robots to navigate in environments where pre-existing maps may be inaccurate, outdated, or unavailable. In this work, we propose an image-based local representation of the environment immediately around a robot to parse navigability. We furt...
1612.05474
Michael Holzhauser
Michael Holzhauser and Sven O. Krumke
A Generalized Approximation Framework for Fractional Network Flow and Packing Problems
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We generalize the fractional packing framework of Garg and Koenemann to the case of linear fractional packing problems over polyhedral cones. More precisely, we provide approximation algorithms for problems of the form $\max\{c^T x : Ax \leq b, x \in C \}$, where the matrix $A$ contains no negative entries and $C$ is...
[ { "created": "Fri, 16 Dec 2016 14:12:07 GMT", "version": "v1" } ]
2016-12-19
[ [ "Holzhauser", "Michael", "" ], [ "Krumke", "Sven O.", "" ] ]
We generalize the fractional packing framework of Garg and Koenemann to the case of linear fractional packing problems over polyhedral cones. More precisely, we provide approximation algorithms for problems of the form $\max\{c^T x : Ax \leq b, x \in C \}$, where the matrix $A$ contains no negative entries and $C$ is a...
1904.03597
Jiangliu Wang
Jiangliu Wang, Jianbo Jiao, Linchao Bao, Shengfeng He, Yunhui Liu and Wei Liu
Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
CVPR 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We address the problem of video representation learning without human-annotated labels. While previous efforts address the problem by designing novel self-supervised tasks using video data, the learned features are merely on a frame-by-frame basis, which are not applicable to many video analytic tasks where spatio-te...
[ { "created": "Sun, 7 Apr 2019 07:27:37 GMT", "version": "v1" } ]
2019-04-09
[ [ "Wang", "Jiangliu", "" ], [ "Jiao", "Jianbo", "" ], [ "Bao", "Linchao", "" ], [ "He", "Shengfeng", "" ], [ "Liu", "Yunhui", "" ], [ "Liu", "Wei", "" ] ]
We address the problem of video representation learning without human-annotated labels. While previous efforts address the problem by designing novel self-supervised tasks using video data, the learned features are merely on a frame-by-frame basis, which are not applicable to many video analytic tasks where spatio-temp...
2403.13918
Henri Casanova
Jesse McDonald, Maximilian Horzela, Fr\'ed\'eric Suter, Henri Casanova
Automated Calibration of Parallel and Distributed Computing Simulators: A Case Study
In Proc. of the 25th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2024)
null
null
null
cs.DC cs.PF
http://creativecommons.org/licenses/by/4.0/
Many parallel and distributed computing research results are obtained in simulation, using simulators that mimic real-world executions on some target system. Each such simulator is configured by picking values for parameters that define the behavior of the underlying simulation models it implements. The main concern ...
[ { "created": "Wed, 20 Mar 2024 18:39:47 GMT", "version": "v1" }, { "created": "Mon, 1 Jul 2024 20:34:35 GMT", "version": "v2" } ]
2024-07-03
[ [ "McDonald", "Jesse", "" ], [ "Horzela", "Maximilian", "" ], [ "Suter", "Frédéric", "" ], [ "Casanova", "Henri", "" ] ]
Many parallel and distributed computing research results are obtained in simulation, using simulators that mimic real-world executions on some target system. Each such simulator is configured by picking values for parameters that define the behavior of the underlying simulation models it implements. The main concern fo...
2112.05415
Soheil Behnezhad
Soheil Behnezhad, Avrim Blum, Mahsa Derakhshan
Stochastic Vertex Cover with Few Queries
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the minimum vertex cover problem in the following stochastic setting. Let $G$ be an arbitrary given graph, $p \in (0, 1]$ a parameter of the problem, and let $G_p$ be a random subgraph that includes each edge of $G$ independently with probability $p$. We are unaware of the realization $G_p$, but can learn if...
[ { "created": "Fri, 10 Dec 2021 09:46:12 GMT", "version": "v1" } ]
2021-12-13
[ [ "Behnezhad", "Soheil", "" ], [ "Blum", "Avrim", "" ], [ "Derakhshan", "Mahsa", "" ] ]
We study the minimum vertex cover problem in the following stochastic setting. Let $G$ be an arbitrary given graph, $p \in (0, 1]$ a parameter of the problem, and let $G_p$ be a random subgraph that includes each edge of $G$ independently with probability $p$. We are unaware of the realization $G_p$, but can learn if a...
1509.02470
Jianguo Li
Jianwei Luo and Jianguo Li and Jun Wang and Zhiguo Jiang and Yurong Chen
Deep Attributes from Context-Aware Regional Neural Codes
10 pages, 8 figures
null
null
null
cs.CV cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, many researches employ middle-layer output of convolutional neural network models (CNN) as features for different visual recognition tasks. Although promising results have been achieved in some empirical studies, such type of representations still suffer from the well-known issue of semantic gap. This paper...
[ { "created": "Tue, 8 Sep 2015 17:53:54 GMT", "version": "v1" } ]
2015-09-09
[ [ "Luo", "Jianwei", "" ], [ "Li", "Jianguo", "" ], [ "Wang", "Jun", "" ], [ "Jiang", "Zhiguo", "" ], [ "Chen", "Yurong", "" ] ]
Recently, many researches employ middle-layer output of convolutional neural network models (CNN) as features for different visual recognition tasks. Although promising results have been achieved in some empirical studies, such type of representations still suffer from the well-known issue of semantic gap. This paper p...
0901.3580
Changho Suh
Changho Suh, David Tse
Feedback Capacity of the Gaussian Interference Channel to Within 1.7075 Bits: the Symmetric Case
submitted to the International Symposium and Information Theory
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We characterize the symmetric capacity to within 1.7075 bits/s/Hz for the two-user Gaussian interference channel with feedback. The result makes use of a deterministic model to provide insights into the Gaussian channel. We derive a new outer bound to show that a proposed achievable scheme can achieve the symmetric c...
[ { "created": "Fri, 23 Jan 2009 00:37:49 GMT", "version": "v1" } ]
2009-01-26
[ [ "Suh", "Changho", "" ], [ "Tse", "David", "" ] ]
We characterize the symmetric capacity to within 1.7075 bits/s/Hz for the two-user Gaussian interference channel with feedback. The result makes use of a deterministic model to provide insights into the Gaussian channel. We derive a new outer bound to show that a proposed achievable scheme can achieve the symmetric cap...
2209.08740
Christopher Meiklejohn
Christopher S. Meiklejohn, Rohan Padhye, Heather Miller
Distributed Execution Indexing
null
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
This work-in-progress report presents both the design and partial evaluation of distributed execution indexing, a technique for microservice applications that precisely identifies dynamic instances of inter-service remote procedure calls (RPCs). Such an indexing scheme is critical for request-level fault injection te...
[ { "created": "Mon, 19 Sep 2022 03:24:46 GMT", "version": "v1" } ]
2022-09-20
[ [ "Meiklejohn", "Christopher S.", "" ], [ "Padhye", "Rohan", "" ], [ "Miller", "Heather", "" ] ]
This work-in-progress report presents both the design and partial evaluation of distributed execution indexing, a technique for microservice applications that precisely identifies dynamic instances of inter-service remote procedure calls (RPCs). Such an indexing scheme is critical for request-level fault injection tech...
2306.14251
Kai Gao
Andy Xu, Kai Gao, Si Wei Feng, Jingjin Yu
Optimal and Stable Multi-Layer Object Rearrangement on a Tabletop
Accepted by 2023 IROS - IEEE/RSJ International Conference on Intelligent Robots
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Object rearrangement is a fundamental sub-task in accomplishing a great many physical tasks. As such, effectively executing rearrangement is an important skill for intelligent robots to master. In this study, we conduct the first algorithmic study on optimally solving the problem of Multi-layer Object Rearrangement o...
[ { "created": "Sun, 25 Jun 2023 13:52:01 GMT", "version": "v1" }, { "created": "Fri, 30 Jun 2023 04:18:28 GMT", "version": "v2" } ]
2023-07-03
[ [ "Xu", "Andy", "" ], [ "Gao", "Kai", "" ], [ "Feng", "Si Wei", "" ], [ "Yu", "Jingjin", "" ] ]
Object rearrangement is a fundamental sub-task in accomplishing a great many physical tasks. As such, effectively executing rearrangement is an important skill for intelligent robots to master. In this study, we conduct the first algorithmic study on optimally solving the problem of Multi-layer Object Rearrangement on ...
1502.05886
Emilio Ferrara
Lei Le, Emilio Ferrara, Alessandro Flammini
On predictability of rare events leveraging social media: a machine learning perspective
10 pages, 10 tables, 8 figures
Proceedings of the 2015 ACM on Conference on Online Social Networks (pp. 3-13). ACM. 2015
10.1145/2817946.2817949
null
cs.SI cs.LG physics.data-an physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Information extracted from social media streams has been leveraged to forecast the outcome of a large number of real-world events, from political elections to stock market fluctuations. An increasing amount of studies demonstrates how the analysis of social media conversations provides cheap access to the wisdom of t...
[ { "created": "Fri, 20 Feb 2015 14:42:26 GMT", "version": "v1" } ]
2017-03-07
[ [ "Le", "Lei", "" ], [ "Ferrara", "Emilio", "" ], [ "Flammini", "Alessandro", "" ] ]
Information extracted from social media streams has been leveraged to forecast the outcome of a large number of real-world events, from political elections to stock market fluctuations. An increasing amount of studies demonstrates how the analysis of social media conversations provides cheap access to the wisdom of the...
1909.12919
Madhura Ingalhalikar
Sumeet Shinde, Tanay Chougule, Jitender Saini and Madhura Ingalhalikar
HR-CAM: Precise Localization of Pathology Using Multi-level Learning in CNNs
Medical Image Computing and Computer Assisted Intervention, 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a CNN based technique that aggregates feature maps from its multiple layers that can localize abnormalities with greater details as well as predict pathology under consideration. Existing class activation mapping (CAM) techniques extract feature maps from either the final layer or a single intermediate lay...
[ { "created": "Mon, 23 Sep 2019 13:47:12 GMT", "version": "v1" } ]
2019-10-01
[ [ "Shinde", "Sumeet", "" ], [ "Chougule", "Tanay", "" ], [ "Saini", "Jitender", "" ], [ "Ingalhalikar", "Madhura", "" ] ]
We propose a CNN based technique that aggregates feature maps from its multiple layers that can localize abnormalities with greater details as well as predict pathology under consideration. Existing class activation mapping (CAM) techniques extract feature maps from either the final layer or a single intermediate layer...
1603.09660
Benjamin Marussig
Benjamin Marussig, J\"urgen Zechner, Gernot Beer and Thomas-Peter Fries
Stable Isogeometric Analysis of Trimmed Geometries
null
null
10.1016/j.cma.2016.07.040
null
cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We explore extended B-splines as a stable basis for isogeometric analysis with trimmed parameter spaces. The stabilization is accomplished by an appropriate substitution of B-splines that may lead to ill-conditioned system matrices. The construction for non-uniform knot vectors is presented. The properties of extende...
[ { "created": "Thu, 31 Mar 2016 16:19:05 GMT", "version": "v1" }, { "created": "Fri, 22 Jul 2016 16:43:01 GMT", "version": "v2" } ]
2017-04-05
[ [ "Marussig", "Benjamin", "" ], [ "Zechner", "Jürgen", "" ], [ "Beer", "Gernot", "" ], [ "Fries", "Thomas-Peter", "" ] ]
We explore extended B-splines as a stable basis for isogeometric analysis with trimmed parameter spaces. The stabilization is accomplished by an appropriate substitution of B-splines that may lead to ill-conditioned system matrices. The construction for non-uniform knot vectors is presented. The properties of extended ...
2406.11737
Clinton Wang
Clinton Wang, Peter Hedman, Polina Golland, Jonathan T. Barron, Daniel Duckworth
InterNeRF: Scaling Radiance Fields via Parameter Interpolation
Presented at CVPR 2024 Neural Rendering Intelligence Workshop
null
null
null
cs.CV cs.GR
http://creativecommons.org/licenses/by/4.0/
Neural Radiance Fields (NeRFs) have unmatched fidelity on large, real-world scenes. A common approach for scaling NeRFs is to partition the scene into regions, each of which is assigned its own parameters. When implemented naively, such an approach is limited by poor test-time scaling and inconsistent appearance and ...
[ { "created": "Mon, 17 Jun 2024 16:55:22 GMT", "version": "v1" } ]
2024-06-18
[ [ "Wang", "Clinton", "" ], [ "Hedman", "Peter", "" ], [ "Golland", "Polina", "" ], [ "Barron", "Jonathan T.", "" ], [ "Duckworth", "Daniel", "" ] ]
Neural Radiance Fields (NeRFs) have unmatched fidelity on large, real-world scenes. A common approach for scaling NeRFs is to partition the scene into regions, each of which is assigned its own parameters. When implemented naively, such an approach is limited by poor test-time scaling and inconsistent appearance and ge...
1706.00339
Raffaella Carloni
Ludo C. Visser, Stefano Stramigioli, and Raffaella Carloni
Bipedal locomotion using variable stiffness actuation
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robust and energy-efficient bipedal locomotion in robotics is still a challenging topic. In order to address issues in this field, we can take inspiration from nature, by studying human locomotion. The Spring-Loaded Inverted Pendulum (SLIP) model has shown to be a good model for this purpose. However, the human muscu...
[ { "created": "Thu, 1 Jun 2017 15:18:07 GMT", "version": "v1" } ]
2017-06-02
[ [ "Visser", "Ludo C.", "" ], [ "Stramigioli", "Stefano", "" ], [ "Carloni", "Raffaella", "" ] ]
Robust and energy-efficient bipedal locomotion in robotics is still a challenging topic. In order to address issues in this field, we can take inspiration from nature, by studying human locomotion. The Spring-Loaded Inverted Pendulum (SLIP) model has shown to be a good model for this purpose. However, the human musculo...
1807.07711
Minseok Choi Dr.
Minseok Choi, Daejung Yoon, and Joongheon Kim
Blind Signal Classification for Non-Orthogonal Multiple Access in Vehicular Networks
13 pages, 15 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For downlink multiple-user (MU) transmission based on non-orthogonal multiple access (NOMA), the advanced receiver strategy is required to cancel the inter-user interference, e.g., successive interference cancellation (SIC). The SIC process can be applicable only when information about the co-scheduled signal is know...
[ { "created": "Fri, 20 Jul 2018 06:25:47 GMT", "version": "v1" }, { "created": "Sat, 2 Mar 2019 03:29:37 GMT", "version": "v2" }, { "created": "Fri, 24 Jan 2020 22:37:55 GMT", "version": "v3" } ]
2020-01-28
[ [ "Choi", "Minseok", "" ], [ "Yoon", "Daejung", "" ], [ "Kim", "Joongheon", "" ] ]
For downlink multiple-user (MU) transmission based on non-orthogonal multiple access (NOMA), the advanced receiver strategy is required to cancel the inter-user interference, e.g., successive interference cancellation (SIC). The SIC process can be applicable only when information about the co-scheduled signal is known ...
2006.16180
Wenye Li
Wenye Li, Shuzhong Zhang
Binary Random Projections with Controllable Sparsity Patterns
19 pages, 15 figures
null
null
null
cs.LG cs.IR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Random projection is often used to project higher-dimensional vectors onto a lower-dimensional space, while approximately preserving their pairwise distances. It has emerged as a powerful tool in various data processing tasks and has attracted considerable research interest. Partly motivated by the recent discoveries...
[ { "created": "Mon, 29 Jun 2020 16:45:26 GMT", "version": "v1" } ]
2020-06-30
[ [ "Li", "Wenye", "" ], [ "Zhang", "Shuzhong", "" ] ]
Random projection is often used to project higher-dimensional vectors onto a lower-dimensional space, while approximately preserving their pairwise distances. It has emerged as a powerful tool in various data processing tasks and has attracted considerable research interest. Partly motivated by the recent discoveries i...
2402.13153
Simon D. Fink
Simon D. Fink, Matthias Pfretzschner, Ignaz Rutter, Marie Diana Sieper
Clustered Planarity Variants for Level Graphs
null
null
null
null
cs.CG cs.DS
http://creativecommons.org/licenses/by/4.0/
We consider variants of the clustered planarity problem for level-planar drawings. So far, only convex clusters have been studied in this setting. We introduce two new variants that both insist on a level-planar drawing of the input graph but relax the requirements on the shape of the clusters. In unrestricted Cluste...
[ { "created": "Tue, 20 Feb 2024 17:10:42 GMT", "version": "v1" } ]
2024-02-21
[ [ "Fink", "Simon D.", "" ], [ "Pfretzschner", "Matthias", "" ], [ "Rutter", "Ignaz", "" ], [ "Sieper", "Marie Diana", "" ] ]
We consider variants of the clustered planarity problem for level-planar drawings. So far, only convex clusters have been studied in this setting. We introduce two new variants that both insist on a level-planar drawing of the input graph but relax the requirements on the shape of the clusters. In unrestricted Clustere...
1901.07497
Jiaxiao Zheng
Jiaxiao Zheng, Gustavo de Veciana
Elastic Multi-resource Network Slicing: Can Protection Lead to Improved Performance?
null
null
null
null
cs.NI cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In order to meet the performance/privacy requirements of future data-intensive mobile applications, e.g., self-driving cars, mobile data analytics, and AR/VR, service providers are expected to draw on shared storage/computation/connectivity resources at the network "edge". To be cost-effective, a key functional requi...
[ { "created": "Tue, 22 Jan 2019 18:16:25 GMT", "version": "v1" } ]
2019-01-23
[ [ "Zheng", "Jiaxiao", "" ], [ "de Veciana", "Gustavo", "" ] ]
In order to meet the performance/privacy requirements of future data-intensive mobile applications, e.g., self-driving cars, mobile data analytics, and AR/VR, service providers are expected to draw on shared storage/computation/connectivity resources at the network "edge". To be cost-effective, a key functional require...
2406.01581
Denny Wu
Jason D. Lee and Kazusato Oko and Taiji Suzuki and Denny Wu
Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit
34 pages
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of gradient descent learning of a single-index target function $f_*(\boldsymbol{x}) = \textstyle\sigma_*\left(\langle\boldsymbol{x},\boldsymbol{\theta}\rangle\right)$ under isotropic Gaussian data in $\mathbb{R}^d$, where the link function $\sigma_*:\mathbb{R}\to\mathbb{R}$ is an unknown degree $...
[ { "created": "Mon, 3 Jun 2024 17:56:58 GMT", "version": "v1" } ]
2024-06-04
[ [ "Lee", "Jason D.", "" ], [ "Oko", "Kazusato", "" ], [ "Suzuki", "Taiji", "" ], [ "Wu", "Denny", "" ] ]
We study the problem of gradient descent learning of a single-index target function $f_*(\boldsymbol{x}) = \textstyle\sigma_*\left(\langle\boldsymbol{x},\boldsymbol{\theta}\rangle\right)$ under isotropic Gaussian data in $\mathbb{R}^d$, where the link function $\sigma_*:\mathbb{R}\to\mathbb{R}$ is an unknown degree $q$...
2205.10138
J\'an Koloda
J\'an Koloda, J\"urgen Seiler and Andr\'e Kaup
Reliability-based Mesh-to-Grid Image Reconstruction
null
2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP), 2016, pp. 1-5
10.1109/MMSP.2016.7813344
null
cs.CV eess.IV
http://creativecommons.org/licenses/by/4.0/
This paper presents a novel method for the reconstruction of images from samples located at non-integer positions, called mesh. This is a common scenario for many image processing applications, such as super-resolution, warping or virtual view generation in multi-camera systems. The proposed method relies on a set of...
[ { "created": "Fri, 20 May 2022 12:32:52 GMT", "version": "v1" } ]
2022-05-23
[ [ "Koloda", "Ján", "" ], [ "Seiler", "Jürgen", "" ], [ "Kaup", "André", "" ] ]
This paper presents a novel method for the reconstruction of images from samples located at non-integer positions, called mesh. This is a common scenario for many image processing applications, such as super-resolution, warping or virtual view generation in multi-camera systems. The proposed method relies on a set of i...
1802.08275
Hang Su
Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, and Jan Kautz
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
Camera-ready, accepted to CVPR 2018 (oral); project website: http://vis-www.cs.umass.edu/splatnet/
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a network architecture for processing point clouds that directly operates on a collection of points represented as a sparse set of samples in a high-dimensional lattice. Naively applying convolutions on this lattice scales poorly, both in terms of memory and computational cost, as the size of the lattice i...
[ { "created": "Thu, 22 Feb 2018 19:30:09 GMT", "version": "v1" }, { "created": "Mon, 26 Feb 2018 22:16:31 GMT", "version": "v2" }, { "created": "Thu, 29 Mar 2018 18:36:16 GMT", "version": "v3" }, { "created": "Wed, 9 May 2018 14:22:41 GMT", "version": "v4" } ]
2018-05-10
[ [ "Su", "Hang", "" ], [ "Jampani", "Varun", "" ], [ "Sun", "Deqing", "" ], [ "Maji", "Subhransu", "" ], [ "Kalogerakis", "Evangelos", "" ], [ "Yang", "Ming-Hsuan", "" ], [ "Kautz", "Jan", "" ] ]
We present a network architecture for processing point clouds that directly operates on a collection of points represented as a sparse set of samples in a high-dimensional lattice. Naively applying convolutions on this lattice scales poorly, both in terms of memory and computational cost, as the size of the lattice inc...
1902.10224
Richa Tripathi
Richa Tripathi, Amit Reza and Dinesh Garg
Prediction of the disease controllability in a complex network using machine learning algorithms
null
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The application of machine learning (ML) techniques span a vast spectrum ranging from speech, face and character recognition, medical diagnosis, anomaly detection in data to the general classification, prediction, and regression problems. In the present work, we solve the problem of predicting R_0 for disease spreadi...
[ { "created": "Tue, 26 Feb 2019 21:12:50 GMT", "version": "v1" }, { "created": "Fri, 1 May 2020 19:58:31 GMT", "version": "v2" } ]
2020-05-05
[ [ "Tripathi", "Richa", "" ], [ "Reza", "Amit", "" ], [ "Garg", "Dinesh", "" ] ]
The application of machine learning (ML) techniques span a vast spectrum ranging from speech, face and character recognition, medical diagnosis, anomaly detection in data to the general classification, prediction, and regression problems. In the present work, we solve the problem of predicting R_0 for disease spreading...
2010.12305
Lukas Lange
Lukas Lange, Heike Adel, Jannik Str\"otgen, Dietrich Klakow
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations
Accepted at EMNLP 2021
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Combining several embeddings typically improves performance in downstream tasks as different embeddings encode different information. It has been shown that even models using embeddings from transformers still benefit from the inclusion of standard word embeddings. However, the combination of embeddings of different ...
[ { "created": "Fri, 23 Oct 2020 11:16:53 GMT", "version": "v1" }, { "created": "Fri, 29 Oct 2021 14:05:41 GMT", "version": "v2" } ]
2021-11-01
[ [ "Lange", "Lukas", "" ], [ "Adel", "Heike", "" ], [ "Strötgen", "Jannik", "" ], [ "Klakow", "Dietrich", "" ] ]
Combining several embeddings typically improves performance in downstream tasks as different embeddings encode different information. It has been shown that even models using embeddings from transformers still benefit from the inclusion of standard word embeddings. However, the combination of embeddings of different ty...
2101.12169
Navneet Garg
Navneet Garg, Junkai Zhang, Tharmalingam Ratnarajah
Rate-Energy Balanced Precoding Design for SWIPT based Two-Way Relay Systems
arXiv admin note: text overlap with arXiv:2101.12161
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Simultaneous wireless information and power transfer (SWIPT) technique is a popular strategy to convey both information and RF energy for harvesting at receivers. In this regard, we consider a two-way relay system with multiple users and a multi-antenna relay employing SWIPT strategy, where splitting the received sig...
[ { "created": "Thu, 28 Jan 2021 18:23:47 GMT", "version": "v1" }, { "created": "Sun, 6 Jun 2021 02:27:47 GMT", "version": "v2" } ]
2021-06-08
[ [ "Garg", "Navneet", "" ], [ "Zhang", "Junkai", "" ], [ "Ratnarajah", "Tharmalingam", "" ] ]
Simultaneous wireless information and power transfer (SWIPT) technique is a popular strategy to convey both information and RF energy for harvesting at receivers. In this regard, we consider a two-way relay system with multiple users and a multi-antenna relay employing SWIPT strategy, where splitting the received signa...
1301.3457
Marcelo Cicconet
Marcelo Cicconet, Italo Lima, Davi Geiger, Kris Gunsalus
A Geometric Descriptor for Cell-Division Detection
This paper has been withdrawn by the author since the review process for the conference to which it was applied ended
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe a method for cell-division detection based on a geometric-driven descriptor that can be represented as a 5-layers processing network, based mainly on wavelet filtering and a test for mirror symmetry between pairs of pixels. After the centroids of the descriptors are computed for a sequence of frames, the ...
[ { "created": "Tue, 15 Jan 2013 19:18:52 GMT", "version": "v1" }, { "created": "Wed, 10 Apr 2013 18:32:07 GMT", "version": "v2" } ]
2013-04-11
[ [ "Cicconet", "Marcelo", "" ], [ "Lima", "Italo", "" ], [ "Geiger", "Davi", "" ], [ "Gunsalus", "Kris", "" ] ]
We describe a method for cell-division detection based on a geometric-driven descriptor that can be represented as a 5-layers processing network, based mainly on wavelet filtering and a test for mirror symmetry between pairs of pixels. After the centroids of the descriptors are computed for a sequence of frames, the tw...
2405.01857
Seonyeong Heo
Byungchul Chae and Jiae Kim and Seonyeong Heo
TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems
LCTES 2024
null
10.1145/3652032.3657576
null
cs.NE cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Image segmentation is one of the major computer vision tasks, which is applicable in a variety of domains, such as autonomous navigation of an unmanned aerial vehicle. However, image segmentation cannot easily materialize on tiny embedded systems because image segmentation models generally have high peak memory usage...
[ { "created": "Fri, 3 May 2024 05:18:35 GMT", "version": "v1" } ]
2024-05-06
[ [ "Chae", "Byungchul", "" ], [ "Kim", "Jiae", "" ], [ "Heo", "Seonyeong", "" ] ]
Image segmentation is one of the major computer vision tasks, which is applicable in a variety of domains, such as autonomous navigation of an unmanned aerial vehicle. However, image segmentation cannot easily materialize on tiny embedded systems because image segmentation models generally have high peak memory usage d...
2209.09022
Sean Wilkinson
Sean R. Wilkinson, Greg Eisenhauer, Anuj J. Kapadia, Kathryn Knight, Jeremy Logan, Patrick Widener, and Matthew Wolf
F*** workflows: when parts of FAIR are missing
6 pages, 0 figures, accepted to ERROR 2022 workshop (see https://error-workshop.org/ for more information), to be published in proceedings of IEEE eScience 2022
null
10.1109/eScience55777.2022.00090
null
cs.DL cs.SE
http://creativecommons.org/licenses/by/4.0/
The FAIR principles for scientific data (Findable, Accessible, Interoperable, Reusable) are also relevant to other digital objects such as research software and scientific workflows that operate on scientific data. The FAIR principles can be applied to the data being handled by a scientific workflow as well as the pr...
[ { "created": "Mon, 19 Sep 2022 13:58:51 GMT", "version": "v1" } ]
2022-12-16
[ [ "Wilkinson", "Sean R.", "" ], [ "Eisenhauer", "Greg", "" ], [ "Kapadia", "Anuj J.", "" ], [ "Knight", "Kathryn", "" ], [ "Logan", "Jeremy", "" ], [ "Widener", "Patrick", "" ], [ "Wolf", "Matthew", "" ] ]
The FAIR principles for scientific data (Findable, Accessible, Interoperable, Reusable) are also relevant to other digital objects such as research software and scientific workflows that operate on scientific data. The FAIR principles can be applied to the data being handled by a scientific workflow as well as the proc...
2212.03340
Geoffrey Ramseyer
Mohak Goyal and Geoffrey Ramseyer and Ashish Goel and David Mazi\`eres
Finding the Right Curve: Optimal Design of Constant Function Market Makers
31 pages
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Constant Function Market Makers (CFMMs) are a tool for creating exchange markets, have been deployed effectively in prediction markets, and are now especially prominent in the Decentralized Finance ecosystem. We show that for any set of beliefs about future asset prices, an optimal CFMM trading function exists that m...
[ { "created": "Tue, 6 Dec 2022 21:43:06 GMT", "version": "v1" }, { "created": "Thu, 2 Mar 2023 23:17:02 GMT", "version": "v2" } ]
2023-03-06
[ [ "Goyal", "Mohak", "" ], [ "Ramseyer", "Geoffrey", "" ], [ "Goel", "Ashish", "" ], [ "Mazières", "David", "" ] ]
Constant Function Market Makers (CFMMs) are a tool for creating exchange markets, have been deployed effectively in prediction markets, and are now especially prominent in the Decentralized Finance ecosystem. We show that for any set of beliefs about future asset prices, an optimal CFMM trading function exists that max...
2210.09428
Thomas Effland
Thomas Effland and Michael Collins
Improving Low-Resource Cross-lingual Parsing with Expected Statistic Regularization
Accepted in TACL 2022, pre-MIT Press publication version
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We present Expected Statistic Regularization (ESR), a novel regularization technique that utilizes low-order multi-task structural statistics to shape model distributions for semi-supervised learning on low-resource datasets. We study ESR in the context of cross-lingual transfer for syntactic analysis (POS tagging an...
[ { "created": "Mon, 17 Oct 2022 20:44:57 GMT", "version": "v1" } ]
2022-10-19
[ [ "Effland", "Thomas", "" ], [ "Collins", "Michael", "" ] ]
We present Expected Statistic Regularization (ESR), a novel regularization technique that utilizes low-order multi-task structural statistics to shape model distributions for semi-supervised learning on low-resource datasets. We study ESR in the context of cross-lingual transfer for syntactic analysis (POS tagging and ...
1301.6176
Thijs Laarhoven
Thijs Laarhoven and Michele Mosca and Joop van de Pol
Solving the Shortest Vector Problem in Lattices Faster Using Quantum Search
19 pages
5th International Workshop on Post-Quantum Cryptography (PQCrypto), pp. 83-101, 2013
10.1007/978-3-642-38616-9_6
null
cs.CR quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
By applying Grover's quantum search algorithm to the lattice algorithms of Micciancio and Voulgaris, Nguyen and Vidick, Wang et al., and Pujol and Stehl\'{e}, we obtain improved asymptotic quantum results for solving the shortest vector problem. With quantum computers we can provably find a shortest vector in time $2...
[ { "created": "Fri, 25 Jan 2013 21:15:55 GMT", "version": "v1" } ]
2013-06-12
[ [ "Laarhoven", "Thijs", "" ], [ "Mosca", "Michele", "" ], [ "van de Pol", "Joop", "" ] ]
By applying Grover's quantum search algorithm to the lattice algorithms of Micciancio and Voulgaris, Nguyen and Vidick, Wang et al., and Pujol and Stehl\'{e}, we obtain improved asymptotic quantum results for solving the shortest vector problem. With quantum computers we can provably find a shortest vector in time $2^{...
2009.00146
Ioannis Kordonis
Ioannis Kordonis, Athanasios-Rafail Lagos, George P. Papavassilopoulos
Nash Social Distancing Games with Equity Constraints: How Inequality Aversion Affects the Spread of Epidemics
null
null
null
null
cs.GT cs.SY eess.SY math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a game-theoretic model describing voluntary social distancing during the spread of an epidemic. The payoffs of the agents depend on the social distancing they practice and on the probability of getting infected. We consider two types of agents, the non-vulnerable agents who have a small cost...
[ { "created": "Mon, 31 Aug 2020 23:28:52 GMT", "version": "v1" }, { "created": "Sat, 3 Apr 2021 17:42:18 GMT", "version": "v2" } ]
2021-04-06
[ [ "Kordonis", "Ioannis", "" ], [ "Lagos", "Athanasios-Rafail", "" ], [ "Papavassilopoulos", "George P.", "" ] ]
In this paper, we present a game-theoretic model describing voluntary social distancing during the spread of an epidemic. The payoffs of the agents depend on the social distancing they practice and on the probability of getting infected. We consider two types of agents, the non-vulnerable agents who have a small cost i...
2101.10897
Yunxiang Zhao
Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, Rui Zhang
HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Hexagonal CNN models have shown superior performance in applications such as IACT data analysis and aerial scene classification due to their better rotation symmetry and reduced anisotropy. In order to realize hexagonal processing, existing studies mainly use the ZeroOut method to imitate hexagonal processing, which ...
[ { "created": "Mon, 25 Jan 2021 08:23:39 GMT", "version": "v1" } ]
2021-01-27
[ [ "Zhao", "Yunxiang", "" ], [ "Ke", "Qiuhong", "" ], [ "Korn", "Flip", "" ], [ "Qi", "Jianzhong", "" ], [ "Zhang", "Rui", "" ] ]
Hexagonal CNN models have shown superior performance in applications such as IACT data analysis and aerial scene classification due to their better rotation symmetry and reduced anisotropy. In order to realize hexagonal processing, existing studies mainly use the ZeroOut method to imitate hexagonal processing, which ca...
2109.01386
Rodothea Myrsini Tsoupidi
Rodothea Myrsini Tsoupidi and Musard Balliu and Benoit Baudry
Vivienne: Relational Verification of Cryptographic Implementations in WebAssembly
null
null
null
null
cs.CR cs.PL cs.SC
http://creativecommons.org/licenses/by-nc-sa/4.0/
This paper explores the use of relational symbolic execution to counter timing side channels in WebAssembly programs. We design and implement Vivienne, an open-source tool to automatically analyze WebAssembly cryptographic libraries for constant-time violations. Our approach features various optimizations that levera...
[ { "created": "Fri, 3 Sep 2021 09:11:08 GMT", "version": "v1" } ]
2021-09-06
[ [ "Tsoupidi", "Rodothea Myrsini", "" ], [ "Balliu", "Musard", "" ], [ "Baudry", "Benoit", "" ] ]
This paper explores the use of relational symbolic execution to counter timing side channels in WebAssembly programs. We design and implement Vivienne, an open-source tool to automatically analyze WebAssembly cryptographic libraries for constant-time violations. Our approach features various optimizations that leverage...
2101.01043
Estefania Recayte
Estefan\'ia Recayte and Andrea Munari
Caching at the Edge: Outage Probability
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Caching at the edge of wireless networks is a keytechnology to reduce traffic in the backhaul link. However, aconcentrated amount of requests during peak-periods may causethe outage of the system, meaning that the network is not ableto serve the whole set of demands. The outage probability is afundamental metric to t...
[ { "created": "Mon, 4 Jan 2021 16:07:53 GMT", "version": "v1" } ]
2021-01-05
[ [ "Recayte", "Estefanía", "" ], [ "Munari", "Andrea", "" ] ]
Caching at the edge of wireless networks is a keytechnology to reduce traffic in the backhaul link. However, aconcentrated amount of requests during peak-periods may causethe outage of the system, meaning that the network is not ableto serve the whole set of demands. The outage probability is afundamental metric to tak...
2105.05130
Li Wang
Li Wang
Towards a Model for LSH
arXiv admin note: text overlap with arXiv:2103.01888
null
null
null
cs.DB cs.DS cs.LG
http://creativecommons.org/publicdomain/zero/1.0/
As data volumes continue to grow, clustering and outlier detection algorithms are becoming increasingly time-consuming. Classical index structures for neighbor search are no longer sustainable due to the "curse of dimensionality". Instead, approximated index structures offer a good opportunity to significantly accele...
[ { "created": "Tue, 11 May 2021 15:39:55 GMT", "version": "v1" } ]
2021-05-12
[ [ "Wang", "Li", "" ] ]
As data volumes continue to grow, clustering and outlier detection algorithms are becoming increasingly time-consuming. Classical index structures for neighbor search are no longer sustainable due to the "curse of dimensionality". Instead, approximated index structures offer a good opportunity to significantly accelera...
2403.10884
Nibaran Das
Soumyajyoti Dey, Sukanta Chakraborty, Utso Guha Roy, Nibaran Das
Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation
Accept at International Conference on Data, Electronics and Computing (ICDEC-2023)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cytology image segmentation is quite challenging due to its complex cellular structure and multiple overlapping regions. On the other hand, for supervised machine learning techniques, we need a large amount of annotated data, which is costly. In recent years, late fusion techniques have given some promising performan...
[ { "created": "Sat, 16 Mar 2024 10:33:02 GMT", "version": "v1" } ]
2024-03-19
[ [ "Dey", "Soumyajyoti", "" ], [ "Chakraborty", "Sukanta", "" ], [ "Roy", "Utso Guha", "" ], [ "Das", "Nibaran", "" ] ]
Cytology image segmentation is quite challenging due to its complex cellular structure and multiple overlapping regions. On the other hand, for supervised machine learning techniques, we need a large amount of annotated data, which is costly. In recent years, late fusion techniques have given some promising performance...