Yashas Malur Saidutta

Orcid: 0000-0002-8487-0219

According to our database1, Yashas Malur Saidutta authored at least 20 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

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
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

Social event planning using hybrid pairwise Markov random fields.
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
VAE for Joint Source-Channel Coding of Distributed Gaussian Sources over AWGN MAC.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Analog Compression and Communication for Federated Learning over Wireless MAC.
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
Increasing the learning Capacity of BCI Systems via CNN-HMM models.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018


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