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Swayambhoo Jain
Swayambhoo Jain
Principal Research Scientist, Sambanova Systems
Verified email at sambanovasystems.com - Homepage
Title
Cited by
Cited by
Year
Overview of the neural network compression and representation (NNR) standard
H Kirchhoffer, P Haase, W Samek, K Müller, H Rezazadegan-Tavakoli, ...
IEEE Transactions on Circuits and Systems for Video Technology 32 (5), 3203-3216, 2021
522021
Noisy matrix completion under sparse factor models
A Soni, S Jain, J Haupt, S Gonella
IEEE Transactions on Information Theory 62 (6), 3636-3661, 2016
452016
A compressed sensing based decomposition of electrodermal activity signals
S Jain, U Oswal, KS Xu, B Eriksson, J Haupt
IEEE Transactions on Biomedical Engineering 64 (9), 2142-2151, 2016
422016
Backhaul-constrained multi-cell cooperation using compressive sensing and spectral clustering
SJ Kim, S Jain, GB Giannakis
2012 IEEE 13th International Workshop on Signal Processing Advances in …, 2012
312012
Minimum uncertainty based detection of adversaries in deep neural networks
F Sheikholeslami, S Jain, GB Giannakis
2020 Information Theory and Applications Workshop (ITA), 1-16, 2020
272020
Mcformer: A transformer based deep neural network for automatic modulation classification
S Hamidi-Rad, S Jain
2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021
222021
Backhaul-constrained multicell cooperation leveraging sparsity and spectral clustering
S Jain, SJ Kim, GB Giannakis
IEEE Transactions on Wireless Communications 15 (2), 899-912, 2015
192015
Compressive measurement designs for estimating structured signals in structured clutter: A Bayesian experimental design approach
S Jain, A Soni, J Haupt
2013 Asilomar Conference on Signals, Systems and Computers, 163-167, 2013
142013
Group-level support recovery guarantees for group lasso estimator
MK Elyaderani, S Jain, J Druce, S Gonella, J Haupt
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
122017
Deep autoencoder-based massive MIMO CSI feedback with quantization and entropy coding
S Ravula, S Jain
2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021
102021
Noisy inductive matrix completion under sparse factor models
A Soni, T Chevalier, S Jain
2017 IEEE International Symposium on Information Theory (ISIT), 2990-2994, 2017
102017
Block cur: Decomposing matrices using groups of columns
U Oswal, S Jain, KS Xu, B Eriksson
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
9*2019
Noisy tensor completion for tensors with a sparse canonical polyadic factor
S Jain, A Gutierrez, J Haupt
2017 IEEE International Symposium on Information Theory (ISIT), 2153-2157, 2017
92017
Efficacy of bayesian neural networks in active learning
V Rakesh, S Jain
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
82021
Locating material defects via wavefield demixing with morphologically germane dictionaries
J Druce, S Gonella, M Kadkhodaie, S Jain, JD Haupt
Structural Health Monitoring 16 (1), 112-125, 2017
82017
Method and apparatus for inhibiting the interruption of content being consumed by a user
M Joye, A Ashkan, J Chandrashekar, T Alvita, A Pushparaja, ...
US Patent 10,616,653, 2020
72020
Improved support recovery guarantees for the group lasso with applications to structural health monitoring
MK Elyaderani, S Jain, J Druce, S Gonella, J Haupt
arXiv preprint arXiv:1708.08826, 2017
72017
Efficient randomized defense against adversarial attacks in deep convolutional neural networks
F Sheikholeslami, S Jain, GB Giannakis
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
62019
Error bounds for maximum likelihood matrix completion under sparse factor models
A Soni, S Jain, J Haupt, S Gonella
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014
62014
Data-driven low-rank neural network compression
D Papadimitriou, S Jain
2021 IEEE International Conference on Image Processing (ICIP), 3547-3551, 2021
52021
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