Rakshith Sharma Srinivasa

27 papers A* 4A 2Misc 6Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 Misc conf
Better Exploiting Spatial Separability in Multichannel Speech Enhancement with an Align-and-Filter Network.
ICASSP
Ching Hua Lee, Chouchang Yang, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Yilin Shen, Hongxia Jin
2025 J jnl
Beyond Seeing: Evaluating Multimodal LLMs on Tool-Enabled Image Perception, Transformation, and Reasoning.
CoRR
Xingang Guo, Utkarsh Tyagi, Advait Gosai, Paula Vergara, Jayeon Park, Ernesto Gabriel Hernández Montoya, Chen Bo Calvin Zhang, Bin Hu, Yunzhong He, Bing Liu, Rakshith Sharma Srinivasa
2025 Misc conf
MIB: Mixed Information Bottleneck for Out-of-Distribution Keyword Spotting.
ICASSP
Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Jaejin Cho, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
2025 A* conf
RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior.
ICML
Ching Hua Lee, Chouchang Yang, Jaejin Cho, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Yilin Shen, Hongxia Jin
2025 J jnl
RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior.
CoRR
Ching Hua Lee, Chouchang Yang, Jaejin Cho, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Yilin Shen, Hongxia Jin
2024 A* conf
CIFD: Controlled Information Flow to Enhance Knowledge Distillation.
NeurIPS
Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Jaejin Cho, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
2024 Misc conf
End-To-End Personalized Cuff-Less Blood Pressure Monitoring Using ECG and PPG Signals.
ICASSP
Suhas BN, Rakshith Sharma Srinivasa, Yashas Malur Saidutta, Jaejin Cho, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
2024 Misc conf
Leveraging Self-Supervised Speech Representations for Domain Adaptation in Speech Enhancement.
ICASSP
Ching Hua Lee, Chouchang Yang, Rakshith Sharma Srinivasa, Yashas Malur Saidutta, Jaejin Cho, Yilin Shen, Hongxia Jin
2024 Misc conf
Zero-Shot Intent Classification Using a Semantic Similarity Aware Contrastive Loss and Large Language Model.
ICASSP
Jaejin Cho, Rakshith Sharma Srinivasa, Ching Hua Lee, Yashas Malur Saidutta, Chouchang Yang, Yilin Shen, Hongxia Jin
2023 A* conf
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss.
NeurIPS
Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin
2023 J jnl
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss.
CoRR
Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin
2023 J jnl
Iterative Broadband Source Localization.
IEEE J. Sel. Areas Inf. Theory
Coleman DeLude, Rakshith Sharma Srinivasa, Santhosh Karnik, Christopher Hood, Mark A. Davenport, Justin Romberg
2023 A conf
Robust Keyword Spotting for Noisy Environments by Leveraging Speech Enhancement and Speech Presence Probability.
INTERSPEECH
Chouchang Yang, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Yilin Shen, Hongxia Jin
2023 J jnl
Sketching Low-Rank Matrices With a Shared Column Space by Convex Programming.
IEEE J. Sel. Areas Inf. Theory
Rakshith Sharma Srinivasa, Seonho Kim, Kiryung Lee
2023 Misc conf
To Wake-Up or Not to Wake-Up: Reducing Keyword False Alarm by Successive Refinement.
ICASSP
Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
2023 J jnl
To Wake-up or Not to Wake-up: Reducing Keyword False Alarm by Successive Refinement.
CoRR
Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
2022 J jnl
Clinical trial site matching with improved diversity using fair policy learning.
CoRR
Rakshith Sharma Srinivasa, Cheng Qian, Brandon Theodorou, Jeffrey Spaeder, Cao Xiao, Lucas Glass, Jimeng Sun
2022 J jnl
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion.
CoRR
Cheng Qian, Kejun Huang, Lucas Glass, Rakshith Sharma Srinivasa, Jimeng Sun
2021 J jnl
STAN: spatio-temporal attention network for pandemic prediction using real-world evidence.
J. Am. Medical Informatics Assoc.
Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao
2021 — —
Subspace learning by randomized sketching.
Rakshith Sharma Srinivasa
2020 J jnl
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification.
CoRR
Rakshith Sharma Srinivasa, Cao Xiao, Lucas Glass, Justin Romberg, Jimeng Sun
2020 J jnl
Localized sketching for matrix multiplication and ridge regression.
CoRR
Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg
2020 J jnl
STAN: Spatio-Temporal Attention Network for Pandemic Prediction Using Real World Evidence.
CoRR
Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao
2020 A conf
Sample complexity bounds for localized sketching.
AISTATS
Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg
2020 J jnl
Trading Beams for Bandwidth: Imaging with Randomized Beamforming.
SIAM J. Imaging Sci.
Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg
2019 A* conf
Decentralized sketching of low rank matrices.
NeurIPS
Rakshith Sharma Srinivasa, Kiryung Lee, Marius Junge, Justin Romberg
2018 — conf
Localized random projections with applications to coherent array imaging.
Allerton
Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg