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Sangeeta Srivastava
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Conformer-based self-supervised learning for non-speech audio tasks
S Srivastava, Y Wang, A Tjandra, A Kumar, C Liu, K Singh, Y Saraf
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
202022
EdgeL^3: Compressing L^3-Net for Mote Scale Urban Noise Monitoring
S Kumari, D Roy, M Cartwright, JP Bello, A Arora
IPDPSW, 2019
182019
One size does not fit all: Multi-scale, cascaded RNNs for radar classification
D Roy, S Srivastava, A Kusupati, P Jain, M Varma, A Arora
ACM Transactions on Sensor Networks (TOSN) 17 (2), 1-27, 2021
172021
Specialized embedding approximation for edge intelligence: A case study in urban sound classification
S Srivastava, D Roy, M Cartwright, JP Bello, A Arora
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
72021
One size does not fit all
D Roy, S Srivastava, A Kusupati, P Jain, M Varma, A Arora
62019
A Study on Robustness to Perturbations for Representations of Environmental Sound
S Srivastava, HH Wu, J Rulff, M Fuentes, M Cartwright, C Silva, A Arora, ...
2022 30th European Signal Processing Conference (EUSIPCO), 125-129, 2022
52022
Lightweight, deep RNNs for radar classification
D Roy, S Srivastava, P Jain, A Kusupati, M Varma, A Arora
Proceedings of the 6th ACM International Conference on Systems for Energy …, 2019
52019
Infrastructure-free, Deep Learned Urban Noise Monitoring at~ 100mW
J Yun, S Srivastava, D Roy, N Stohs, C Mydlarz, M Salman, B Steers, ...
2022 ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS …, 2022
42022
Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schr\"{o} dinger's Equation
S Srivastava, S Olin, V Podolskiy, A Karpatne, WC Lee, A Arora
arXiv preprint arXiv:2202.05994, 2022
2022
Towards Green AI: Cost-Efficient Deep Learning using Domain Knowledge
S Srivastava
The Ohio State University, 2022
2022
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Articles 1–10