Rakshith Sharma Srinivasa

According to our database, Rakshith Sharma Srinivasa authored at least 14 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Sketching Low-Rank Matrices With a Shared Column Space by Convex Programming.

Rakshith Sharma Srinivasa, Seonho Kim, Kiryung Lee

IEEE J. Sel. Areas Inf. Theory, 2023

Iterative Broadband Source Localization.

Coleman DeLude, Rakshith Sharma Srinivasa, Santhosh Karnik, Christopher Hood, Mark A. Davenport, Justin Romberg

IEEE J. Sel. Areas Inf. Theory, 2023

CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss.

Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

To Wake-Up or Not to Wake-Up: Reducing Keyword False Alarm by Successive Refinement.

Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Clinical trial site matching with improved diversity using fair policy learning.

Rakshith Sharma Srinivasa, Cheng Qian, Brandon Theodorou, Jeffrey Spaeder, Cao Xiao, Lucas Glass, Jimeng Sun

CoRR, 2022

JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion.

Cheng Qian, Kejun Huang, Lucas Glass, Rakshith Sharma Srinivasa, Jimeng Sun

CoRR, 2022

2021

Subspace learning by randomized sketching.

Rakshith Sharma Srinivasa

PhD thesis, 2021

STAN: spatio-temporal attention network for pandemic prediction using real-world evidence.

Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao

J. Am. Medical Informatics Assoc., 2021

2020

Trading Beams for Bandwidth: Imaging with Randomized Beamforming.

Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg

SIAM J. Imaging Sci., 2020

Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification.

Rakshith Sharma Srinivasa, Cao Xiao, Lucas Glass, Justin Romberg, Jimeng Sun

CoRR, 2020

Localized sketching for matrix multiplication and ridge regression.

Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg

CoRR, 2020

Sample complexity bounds for localized sketching.

Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Decentralized sketching of low rank matrices.

Rakshith Sharma Srinivasa, Kiryung Lee, Marius Junge, Justin Romberg

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Localized random projections with applications to coherent array imaging.

Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg

Proceedings of the 56th Annual Allerton Conference on Communication, 2018