Yashas Malur Saidutta
Orcid: 0000-0002-8487-0219
According to our database1,
Yashas Malur Saidutta
authored at least 20 papers
between 2018 and 2024.
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Bibliography
2024
Model-Theoretic Logic for Mathematical Theory of Semantic Information and Communication.
CoRR, 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
Machine Learning for Information Exchange and Collaborative Inference over Wireless Channels.
PhD thesis, 2023
Attri-Fed: A GIB Framework for Attribute-Based Privacy and Communication-Efficient Federated Learning.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023
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
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT.
CoRR, 2022
A Machine Learning Framework for Privacy-Aware Distributed Functional Compression over AWGN Channels.
Proceedings of the IEEE Information Theory Workshop, 2022
2021
Joint Source-Channel Coding Over Additive Noise Analog Channels Using Mixture of Variational Autoencoders.
IEEE J. Sel. Areas Commun., 2021
Int. J. Intell. Syst., 2021
Analog Joint Source-Channel Coding for Distributed Functional Compression using Deep Neural Networks.
Proceedings of the IEEE International Symposium on Information Theory, 2021
2020
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020
2019
Joint Source-Channel Coding for Gaussian Sources over AWGN Channels using Variational Autoencoders.
Proceedings of the IEEE International Symposium on Information Theory, 2019
M to 1 Joint Source-Channel Coding of Gaussian Sources via Dichotomy of the Input Space Based on Deep Learning.
Proceedings of the Data Compression Conference, 2019
Joint Source-Channel Coding of Gaussian sources over AWGN channels via Manifold Variational Autoencoders.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018