Venkatesh Saligrama

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Ziming ZhangAssistant Professor, Worcester Polytechnic Institute (WPI)Verified email at wpi.edu
Pierre-Marc JodoinUniversité de SherbrookeVerified email at usherbrooke.ca
Joseph WangResearch Assistant Professor, Boston UniversityVerified email at bu.edu
Tolga BolukbasiGoogle ResearchVerified email at google.com
Shuchin AeronAssociate Professor, ECE, Tufts UniversityVerified email at ece.tufts.edu
Manqi ZhaoGoogle Inc.Verified email at google.com
George AtiaAssociate Professor, University of Central FloridaVerified email at ucf.edu
Kai-Wei ChangAssociate Professor, UCLAVerified email at kwchang.net
David CastanonProfessor of Electrical and Computer Engineering, Boston UniversityVerified email at bu.edu
Janusz KonradProfessor of Electrical and Computer Engineering, Boston UniversityVerified email at bu.edu
Prakash IshwarProfessor of Electrical and Computer Engineering at Boston UniversityVerified email at bu.edu
Kirill TrapeznikovSystems & Technology ResearchVerified email at str.us
Munther DahlehMITVerified email at mit.edu
Feng NanAmazon.comVerified email at bu.edu
Yuting ChenBoston UniversityVerified email at bu.edu
James ZouStanford UniversityVerified email at stanford.edu
Hanxiao WangResearch Fellow, Boston UniversityVerified email at bu.edu
Sidharth (Sid) JaggiProfessor, School of Mathematics, University of BristolVerified email at bristol.ac.uk
Cem AksoylarMicrosoftVerified email at microsoft.com
Mohammad Hossein RohbanComputer Eng. Department, Sharif University of TechnologyVerified email at sharif.edu

Venkatesh Saligrama

Professor, Electrical and Computer Engineering, Boston University

Verified email at bu.edu - Homepage

Machine Learning Artificial intelligence


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Man is to computer programmer as woman is to homemaker? debiasing word embeddings T Bolukbasi, KW Chang, JY Zou, V Saligrama, AT Kalai Advances in neural information processing systems 29, 2016	3125	2016
Zero-shot learning via semantic similarity embedding Z Zhang, V Saligrama Proceedings of the IEEE international conference on computer vision, 4166-4174, 2015	713	2015
Federated learning based on dynamic regularization DAE Acar, Y Zhao, RM Navarro, M Mattina, PN Whatmough, V Saligrama arXiv preprint arXiv:2111.04263, 2021	473	2021
Zero-shot learning via joint latent similarity embedding Z Zhang, V Saligrama proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	421	2016
Adaptive neural networks for efficient inference T Bolukbasi, J Wang, O Dekel, V Saligrama Proceedings of the International Conference on Machine Learning, 2017	391*	2017
Video anomaly detection based on local statistical aggregates V Saligrama, Z Chen 2012 IEEE Conference on computer vision and pattern recognition, 2112-2119, 2012	388	2012
Boolean compressed sensing and noisy group testing GK Atia, V Saligrama IEEE Transactions on Information Theory 58 (3), 1880-1901, 2012	314	2012
Abnormal events detection based on spatio-temporal co-occurences Y Benezeth, PM Jodoin, V Saligrama, C Rosenberger 2009 IEEE conference on computer vision and pattern recognition, 2458-2465, 2009	286	2009
Foreground-adaptive background subtraction JM McHugh, J Konrad, V Saligrama, PM Jodoin IEEE Signal Processing Letters 16 (5), 390-393, 2009	231	2009
Information theoretic bounds for compressed sensing S Aeron, V Saligrama, M Zhao Information Theory, IEEE Transactions on 56 (10), 5111-5130, 2010	196	2010
Distributed detection in sensor networks with packet losses and finite capacity links V Saligrama, M Alanyali, O Savas IEEE Transactions on Signal Processing 54 (11), 4118-4132, 2006	181	2006
Non-adaptive group testing: Explicit bounds and novel algorithms CL Chan, S Jaggi, V Saligrama, S Agnihotri IEEE Transactions on Information Theory 60 (5), 2014	175	2014
Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms CL Chan, PH Che, S Jaggi, V Saligrama 2011 49th Annual Allerton Conference on Communication, Control, and …, 2011	169	2011
Video anomaly identification V Saligrama, J Konrad, PM Jodoin IEEE Signal Processing Magazine 27 (5), 18-33, 2010	163	2010
Prediction of hospitalization due to heart diseases by supervised learning methods W Dai, TS Brisimi, WG Adams, T Mela, V Saligrama, IC Paschalidis International journal of medical informatics 84 (3), 189-197, 2015	162	2015
Anomaly detection with score functions based on nearest neighbor graphs. M Zhao, V Saligrama Proceedings of Advances in Neural Information Processing Systems (NIPS …, 2009	161	2009
Graph-constrained group testing M Cheraghchi, A Karbasi, S Mohajer, V Saligrama IEEE Transactions on Information Theory 58 (1), 248-262, 2012	156	2012
Efficient training of very deep neural networks for supervised hashing Z Zhang, Y Chen, V Saligrama Proceedings of the IEEE conference on computer vision and pattern …, 2016	148	2016
Supervised Sequential Classification Under Budget Constraints K Trapeznikov, V Saligrama AISTATS, 581–589, 2013	125	2013
Robust and reliable acoustic echo and noise cancellation system for cabin communication SR Venkatesh, AM Finn US Patent 7,171,003, 2007	120	2007

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