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
Prakash IshwarProfessor of Electrical and Computer Engineering at Boston UniversityVerified email at bu.edu
Janusz KonradProfessor of Electrical and Computer Engineering, 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	2993	2016
Zero-shot learning via semantic similarity embedding Z Zhang, V Saligrama Proceedings of the IEEE international conference on computer vision, 4166-4174, 2015	702	2015
Zero-shot learning via joint latent similarity embedding Z Zhang, V Saligrama proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	419	2016
Federated Learning Based on Dynamic Regularization AE Durmus, Z Yue, M Ramon, M Matthew, W Paul, V Saligrama International Conference on Learning Representations, 2021	418*	2021
Video anomaly detection based on local statistical aggregates V Saligrama, Z Chen 2012 IEEE Conference on computer vision and pattern recognition, 2112-2119, 2012	384	2012
Adaptive neural networks for efficient inference T Bolukbasi, J Wang, O Dekel, V Saligrama Proceedings of the International Conference on Machine Learning, 2017	372*	2017
Boolean compressed sensing and noisy group testing GK Atia, V Saligrama IEEE Transactions on Information Theory 58 (3), 1880-1901, 2012	312	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	283	2009
Foreground-adaptive background subtraction JM McHugh, J Konrad, V Saligrama, PM Jodoin IEEE Signal Processing Letters 16 (5), 390-393, 2009	230	2009
Information theoretic bounds for compressed sensing S Aeron, V Saligrama, M Zhao Information Theory, IEEE Transactions on 56 (10), 5111-5130, 2010	195	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	180	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	174	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	168	2011
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
Video anomaly identification V Saligrama, J Konrad, PM Jodoin IEEE Signal Processing Magazine 27 (5), 18-33, 2010	160	2010
Anomaly detection with score functions based on nearest neighbor graphs. M Zhao, V Saligrama Proceedings of Advances in Neural Information Processing Systems (NIPS …, 2009	160	2009
Graph-constrained group testing M Cheraghchi, A Karbasi, S Mohajer, V Saligrama IEEE Transactions on Information Theory 58 (1), 248-262, 2012	153	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	145	2016
Supervised Sequential Classification Under Budget Constraints K Trapeznikov, V Saligrama AISTATS, 581–589, 2013	124	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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