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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
272021
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
162020
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
122019
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
122019
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
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
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
82020
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
42021
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
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
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, 0
1*
Speech denoising networks using speech and noise modeling
CC Yang, CH Lee, RS Srinivasa, YM Saidutta, Y Shen, H Jin
US Patent App. 18/058,104, 2024
2024
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
2024
Attri-Fed: A GIB Framework for Attribute-Based Privacy and Communication-Efficient Federated Learning
AF Saz, YM Saidutta, F Fekri, MR Akdeniz, B Edwards, N Himayat
2023 IEEE 24th International Workshop on Signal Processing Advances in …, 2023
2023
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
2023
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
2023
A Machine Learning Framework for Privacy-Aware Distributed Functional Compression over AWGN Channels
YM Saidutta, F Fekri, A Abdi
2022 IEEE Information Theory Workshop (ITW), 380-385, 2022
2022
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