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
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
Federated Learning Based on Dynamic Regularization
AE Durmus, Z Yue, M Ramon, M Matthew, W Paul, V Saligrama
International Conference on Learning Representations, 2021
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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