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Rakshith Sharma Srinivasa
Rakshith Sharma Srinivasa
Senior researcher, ML, Samsung Research America
Verified email at gatech.edu - Homepage
Title
Cited by
Cited by
Year
STAN: Spatio-Temporal Attention Network for Pandemic Prediction Using Real World Evidence
J Gao, RS Srinivasa, C Qian, LM Glass, J Spaeder, J Romberg, J Sun, ...
arXiv preprint arXiv:2008.04215, 2020
992020
Fast graph attention networks using effective resistance based graph sparsification
RS Srinivasa, C Xiao, L Glass, J Romberg, J Sun
arXiv preprint arXiv:2006.08796, 2020
202020
Decentralized sketching of low rank matrices
RS Srinivasa, K Lee, M Junge, J Romberg
Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2019, 2019
152019
System and method for multimodal, motion-aware radar imaging
JVB Petros T Boufounos, Hassan Mansour, Rakshith Sharma Srinivasa
US Patent 10,768,294, 2020
42020
Julia: Joint multi-linear and nonlinear identification for tensor completion
C Qian, K Huang, L Glass, RS Srinivasa, J Sun
arXiv preprint arXiv:2202.00071, 2022
32022
Clinical trial site matching with improved diversity using fair policy learning
RS Srinivasa, C Qian, B Theodorou, J Spaeder, C Xiao, L Glass, J Sun
arXiv preprint arXiv:2204.06501, 2022
22022
Trading beams for bandwidth: Imaging with randomized beamforming
RS Srinivasa, MA Davenport, J Romberg
SIAM Journal on Imaging Sciences 13 (1), 317–350, 2020
22020
Entropy Estimates on Tensor Products of Banach Spaces and Applications to Low-Rank Recovery
K Lee, RS Srinivasa, M Junge, J Romberg
Sampling Theory and Applications (SampTA), Bordeaux, France, 2019, 2019
22019
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
RS Srinivasa, J Cho, C Yang, YM Saidutta, CH Lee, Y Shen, H Jin
Advances in Neural Information Processing Systems 36, 2023
12023
Approximately low-rank recovery from noisy and local measurements by convex program
K Lee, RS Sharma, M Junge, J Romberg
Information and Inference: A Journal of the IMA 12 (3), 1612-1654, 2023
12023
Localized random projections with applications to coherent array imaging
RS Srinivasa, MA Davenport, J Romberg
2018 56th Annual Allerton Conference on Communication, Control, and …, 2018
12018
Sketching with structured matrices for array imaging
RS Srinivasa, MA Davenport, J Romberg
Proceedings of the Workshop on Signal Processing with Adaptive Sparse …, 2017
12017
Low dimensional encoding broadband beamformer with reduced hardware arrays
C Delude, J Romberg, M Davenport, S Karnik, RS Srinivasa
US Patent App. 18/270,145, 2024
2024
Speech denoising networks using speech and noise modeling
CC Yang, CH Lee, RS Srinivasa, YM Saidutta, Y Shen, H Jin
US Patent App. 18/058,104, 2024
2024
Iterative Broadband Source Localization
C DeLude, RS Srinivasa, S Karnik, C Hood, MA Davenport, J Romberg
IEEE Journal on Selected Areas in Information Theory, 2023
2023
Robust Keyword Spotting for Noisy Environments by Leveraging Speech Enhancement and Speech Presence Probability
C Yang, YM Saidutta, RS Srinivasa, CH Lee, Y Shen, H Jin
Interspeech 2023, 2023
2023
Sketching low-rank matrices with a shared column space by convex programming
RS Srinivasa, S Kim, K Lee
IEEE Journal on Selected Areas in Information Theory, 2023
2023
To Wake-Up or Not to Wake-Up: Reducing Keyword False Alarm by Successive Refinement
YM Saidutta, RS Srinivasa, CH Lee, C Yang, Y Shen, H Jin
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
2023
Subspace learning by randomized sketching.
RS Srinivasa
Georgia Institute of Technology, Atlanta, GA, USA, 2021
2021
Sample complexity bounds for localized sketching
RS Srinivasa, MA Davenport, J Romberg
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020
2020
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