Rakshith Sharma Srinivasa

Orcid: 0009-0009-0862-9130

According to our database1, Rakshith Sharma Srinivasa authored at least 18 papers between 2018 and 2024.

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Bibliography

2024
Leveraging Self-Supervised Speech Representations for Domain Adaptation in Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2024

Zero-Shot Intent Classification Using a Semantic Similarity Aware Contrastive Loss and Large Language Model.
Proceedings of the IEEE International Conference on Acoustics, 2024

End-To-End Personalized Cuff-Less Blood Pressure Monitoring Using ECG and PPG Signals.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Sketching Low-Rank Matrices With a Shared Column Space by Convex Programming.
IEEE J. Sel. Areas Inf. Theory, 2023

Iterative Broadband Source Localization.
IEEE J. Sel. Areas Inf. Theory, 2023

CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Keyword Spotting for Noisy Environments by Leveraging Speech Enhancement and Speech Presence Probability.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

To Wake-Up or Not to Wake-Up: Reducing Keyword False Alarm by Successive Refinement.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Clinical trial site matching with improved diversity using fair policy learning.
CoRR, 2022

JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion.
CoRR, 2022

2021
Subspace learning by randomized sketching.
PhD thesis, 2021

STAN: spatio-temporal attention network for pandemic prediction using real-world evidence.
J. Am. Medical Informatics Assoc., 2021

2020
Trading Beams for Bandwidth: Imaging with Randomized Beamforming.
SIAM J. Imaging Sci., 2020

Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification.
CoRR, 2020

Localized sketching for matrix multiplication and ridge regression.
CoRR, 2020

Sample complexity bounds for localized sketching.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Decentralized sketching of low rank matrices.
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.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018


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