Venkatesh Saligrama
Venkatesh Saligrama
Professor, Electrical and Computer Engineering, Boston University
Verified email at - Homepage
Cited by
Cited by
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
Zero-shot learning via semantic similarity embedding
Z Zhang, V Saligrama
Proceedings of the IEEE international conference on computer vision, 4166-4174, 2015
Zero-shot learning via joint latent similarity embedding
Z Zhang, V Saligrama
proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Video anomaly detection based on local statistical aggregates
V Saligrama, Z Chen
2012 IEEE Conference on computer vision and pattern recognition, 2112-2119, 2012
Boolean compressed sensing and noisy group testing
GK Atia, V Saligrama
IEEE Transactions on Information Theory 58 (3), 1880-1901, 2012
Adaptive neural networks for efficient inference
T Bolukbasi, J Wang, O Dekel, V Saligrama
Proceedings of the International Conference on Machine Learning, 2017
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
Foreground-adaptive background subtraction
JM McHugh, J Konrad, V Saligrama, PM Jodoin
IEEE Signal Processing Letters 16 (5), 390-393, 2009
Information theoretic bounds for compressed sensing
S Aeron, V Saligrama, M Zhao
Information Theory, IEEE Transactions on 56 (10), 5111-5130, 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
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
Anomaly detection with score functions based on nearest neighbor graphs.
M Zhao, V Saligrama
Proceedings of Advances in Neural Information Processing Systems (NIPS …, 2009
Graph-constrained group testing
M Cheraghchi, A Karbasi, S Mohajer, V Saligrama
IEEE Transactions on Information Theory 58 (1), 248-262, 2012
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
Video anomaly identification
V Saligrama, J Konrad, PM Jodoin
IEEE Signal Processing Magazine 27 (5), 18-33, 2010
Federated Learning Based on Dynamic Regularization
AE Durmus, Z Yue, M Ramon, M Matthew, W Paul, V Saligrama
International Conference on Learning Representations, 2021
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
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
Robust and reliable acoustic echo and noise cancellation system for cabin communication
SR Venkatesh, AM Finn
US Patent 7,171,003, 2007
Supervised Sequential Classification Under Budget Constraints
K Trapeznikov, V Saligrama
AISTATS, 581–589, 2013
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