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Yashas Malur Saidutta
Yashas Malur Saidutta
Senior researcher, ML, Samsung Research America
Verified email at gatech.edu
Title
Cited by
Cited by
Year
Joint source-channel coding over additive noise analog channels using mixture of variational autoencoders
YM Saidutta, A Abdi, F Fekri
IEEE Journal on Selected Areas in Communications 39 (7), 2000-2013, 2021
432021
Analog compression and communication for federated learning over wireless MAC
A Abdi, YM Saidutta, F Fekri
2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020
202020
VAE for joint source-channel coding of distributed Gaussian sources over AWGN MAC
YM Saidutta, A Abdi, F Fekri
2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020
152020
Joint Source-Channel Coding of Gaussian sources over AWGN channels via Manifold Variational Autoencoders
YM Saidutta, A Abdi, F Fekri
57th Annual Allerton Conference on Communication, Control, and Computing, 2019
142019
Joint Source-Channel Coding for Gaussian Sources over AWGN Channels using Variational Autoencoders
YM Saidutta, A Abdi, F Fekri
IEEE Symposium on Information Theory (ISIT), 2019
132019
M to 1 joint source-channel coding of gaussian sources via dichotomy of the input space based on deep learning
YM Saidutta, A Abdi, F Fekri
2019 Data Compression Conference (DCC), 488-497, 2019
112019
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
RS Srinivasa, J Cho, C Yang, YM Saidutta, CH Lee, Y Shen, H Jin
Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2023, 2023
92023
Increasing the learning Capacity of BCI Systems via CNN-HMM models
YM Saidutta, J Zou, F Fekri
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
92018
Robust Keyword Spotting for Noisy Environments by Leveraging Speech Enhancement and Speech Presence Probability
C Yang, YM Saidutta, RS Srinivasa, CH Lee, Y Shen, H Jin
Interspeech 2023, 1638-1642, 2023
52023
Analog joint source-channel coding for distributed functional compression using deep neural networks
YM Saidutta, A Abdi, F Fekri
2021 IEEE International Symposium on Information Theory (ISIT), 2429-2434, 2021
52021
End-To-End Personalized Cuff-Less Blood Pressure Monitoring Using ECG and PPG Signals
BN Suhas, RS Srinivasa, YM Saidutta, J Cho, CH Lee, C Yang, Y Shen, ...
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
42024
Model-Theoretic Logic for Mathematical Theory of Semantic Information and Communication
AF Saz, S Xiong, YM Saidutta, F Fekri
arXiv preprint arXiv:2401.17556, 2024
32024
Social event planning using hybrid pairwise Markov random fields
X Li, YM Saidutta, F Fekri
International Journal of Intelligent Systems 36 (11), 6791-6813, 2021
32021
Zero-Shot Intent Classification Using a Semantic Similarity Aware Contrastive Loss and Large Language Model
J Cho, RS Srinivasa, CH Lee, YM Saidutta, C Yang, Y Shen, H Jin
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
22024
To Wake-Up or Not to Wake-Up: Reducing Keyword False Alarm by Successive Refinement
YM Saidutta, RS Srinivasa, CH Lee, C Yang, Y Shen, H Jin
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
22023
A machine learning framework for distributed functional compression over wireless channels in IoT
YM Saidutta, A Abdi, F Fekri
arXiv preprint arXiv:2201.09483, 2022
22022
Well path drilling trajectory and control for geosteering
RVR Pandya, S Madasu, KP Rangarajan, S Dande, YM Saidutta
US Patent 12,104,489, 2024
12024
Leveraging Self-Supervised Speech Representations for Domain Adaptation in Speech Enhancement
CH Lee, C Yang, RS Srinivasa, YM Saidutta, J Cho, Y Shen, H Jin
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
12024
CIFD: Controlled Information Flow to Enhance Knowledge Distillation
YM Saidutta, RS Srinivasa, J Cho, CH Lee, C Yang, Y Shen, H Jin
Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024, 2024
2024
CROSS-MODAL TRANSFER WITH CONTINUOUSLY WEIGHTED CONTRASTIVE LOSS
RS Srinivasa, J Cho, C Yang, YM Saidutta, C Lee, Y Shen, H Jin
US Patent App. 18/434,691, 2024
2024
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