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ORCIDRakshith Sharma Srinivasa
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2020 – today
- 2024
[c10]Suhas BN, Rakshith Sharma Srinivasa, Yashas Malur Saidutta, Jaejin Cho, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin:
End-To-End Personalized Cuff-Less Blood Pressure Monitoring Using ECG and PPG Signals. ICASSP 2024: 2101-2105- [c9]Jaejin Cho, Rakshith Sharma Srinivasa, Ching Hua Lee, Yashas Malur Saidutta, Chouchang Yang, Yilin Shen, Hongxia Jin:
Zero-Shot Intent Classification Using a Semantic Similarity Aware Contrastive Loss and Large Language Model. ICASSP 2024: 10776-10780 - [c8]Ching Hua Lee, Chouchang Yang, Rakshith Sharma Srinivasa, Yashas Malur Saidutta, Jaejin Cho, Yilin Shen, Hongxia Jin:
Leveraging Self-Supervised Speech Representations for Domain Adaptation in Speech Enhancement. ICASSP 2024: 10831-10835 - [c7]Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Jaejin Cho, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin:
CIFD: Controlled Information Flow to Enhance Knowledge Distillation. NeurIPS 2024 - 2023
- [j4]Rakshith Sharma Srinivasa
, Seonho Kim, Kiryung Lee:
Sketching Low-Rank Matrices With a Shared Column Space by Convex Programming. IEEE J. Sel. Areas Inf. Theory 4: 54-60 (2023) - [j3]Coleman DeLude, Rakshith Sharma Srinivasa, Santhosh Karnik, Christopher Hood, Mark A. Davenport, Justin Romberg:
Iterative Broadband Source Localization. IEEE J. Sel. Areas Inf. Theory 4: 453-469 (2023) - [c6]Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin:
To Wake-Up or Not to Wake-Up: Reducing Keyword False Alarm by Successive Refinement. ICASSP 2023: 1-5 - [c5]Chouchang Yang, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Yilin Shen, Hongxia Jin:
Robust Keyword Spotting for Noisy Environments by Leveraging Speech Enhancement and Speech Presence Probability. INTERSPEECH 2023: 1638-1642 - [c4]Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin:
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss. NeurIPS 2023 - [i7]Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin:
To Wake-up or Not to Wake-up: Reducing Keyword False Alarm by Successive Refinement. CoRR abs/2304.03416 (2023) - [i6]Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin:
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss. CoRR abs/2309.14580 (2023) - 2022
- [i5]Cheng Qian, Kejun Huang, Lucas Glass, Rakshith Sharma Srinivasa, Jimeng Sun:
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion. CoRR abs/2202.00071 (2022) - [i4]Rakshith Sharma Srinivasa, Cheng Qian, Brandon Theodorou, Jeffrey Spaeder, Cao Xiao, Lucas Glass, Jimeng Sun:
Clinical trial site matching with improved diversity using fair policy learning. CoRR abs/2204.06501 (2022) - 2021
- [b1]Rakshith Sharma Srinivasa:
Subspace learning by randomized sketching. Georgia Institute of Technology, Atlanta, GA, USA, 2021 - [j2]Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao:
STAN: spatio-temporal attention network for pandemic prediction using real-world evidence. J. Am. Medical Informatics Assoc. 28(4): 733-743 (2021) - 2020
- [j1]Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg:
Trading Beams for Bandwidth: Imaging with Randomized Beamforming. SIAM J. Imaging Sci. 13(1): 317-350 (2020) - [c3]Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg:
Sample complexity bounds for localized sketching. AISTATS 2020: 3275-3284 - [i3]Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg:
Localized sketching for matrix multiplication and ridge regression. CoRR abs/2003.09097 (2020) - [i2]Rakshith Sharma Srinivasa, Cao Xiao, Lucas Glass, Justin Romberg, Jimeng Sun:
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification. CoRR abs/2006.08796 (2020) - [i1]Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao:
STAN: Spatio-Temporal Attention Network for Pandemic Prediction Using Real World Evidence. CoRR abs/2008.04215 (2020)
2010 – 2019
- 2019
- [c2]Rakshith Sharma Srinivasa, Kiryung Lee, Marius Junge, Justin Romberg:
Decentralized sketching of low rank matrices. NeurIPS 2019: 10101-10110 - 2018
- [c1]Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg:
Localized random projections with applications to coherent array imaging. Allerton 2018: 617-623
Coauthor Index
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