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Yashas Malur Saidutta
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2020 – today
- 2024
- [c15]Suhas BN, Rakshith Sharma Srinivasa, Yashas Malur Saidutta, Jaejin Cho, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin:
End-To-End Personalized Cuff-Less Blood Pressure Monitoring Using ECG and PPG Signals. ICASSP 2024: 2101-2105 - [c14]Jaejin Cho, Rakshith Sharma Srinivasa, Ching Hua Lee, Yashas Malur Saidutta, Chouchang Yang, Yilin Shen, Hongxia Jin:
Zero-Shot Intent Classification Using a Semantic Similarity Aware Contrastive Loss and Large Language Model. ICASSP 2024: 10776-10780 - [c13]Ching Hua Lee, Chouchang Yang, Rakshith Sharma Srinivasa, Yashas Malur Saidutta, Jaejin Cho, Yilin Shen, Hongxia Jin:
Leveraging Self-Supervised Speech Representations for Domain Adaptation in Speech Enhancement. ICASSP 2024: 10831-10835 - [i4]Ahmet Faruk Saz, Siheng Xiong, Yashas Malur Saidutta, Faramarz Fekri
:
Model-Theoretic Logic for Mathematical Theory of Semantic Information and Communication. CoRR abs/2401.17556 (2024) - 2023
- [b1]Yashas Malur Saidutta:
Machine Learning for Information Exchange and Collaborative Inference over Wireless Channels. Georgia Institute of Technology, Atlanta, GA, USA, 2023 - [c12]Yashas Malur Saidutta
To Wake-Up or Not to Wake-Up: Reducing Keyword False Alarm by Successive Refinement. ICASSP 2023: 1-5 - [c11]Chouchang Yang, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Yilin Shen, Hongxia Jin:
Robust Keyword Spotting for Noisy Environments by Leveraging Speech Enhancement and Speech Presence Probability. INTERSPEECH 2023: 1638-1642 - [c10]Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin:
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss. NeurIPS 2023 - [c9]Ahmet Faruk Saz, Yashas Malur Saidutta, Faramarz Fekri
Attri-Fed: A GIB Framework for Attribute-Based Privacy and Communication-Efficient Federated Learning. SPAWC 2023: 366-370 - [i3]Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin:
To Wake-up or Not to Wake-up: Reducing Keyword False Alarm by Successive Refinement. CoRR abs/2304.03416 (2023) - [i2]Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin:
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss. CoRR abs/2309.14580 (2023) - 2022
- [c8]Yashas Malur Saidutta
A Machine Learning Framework for Privacy-Aware Distributed Functional Compression over AWGN Channels. ITW 2022: 380-385 - [i1]Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri:
A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT. CoRR abs/2201.09483 (2022) - 2021
- [j2]Xiao Li
Social event planning using hybrid pairwise Markov random fields. Int. J. Intell. Syst. 36(11): 6791-6813 (2021) - [j1]Yashas Malur Saidutta
Joint Source-Channel Coding Over Additive Noise Analog Channels Using Mixture of Variational Autoencoders. IEEE J. Sel. Areas Commun. 39(7): 2000-2013 (2021) - [c7]Yashas Malur Saidutta
Analog Joint Source-Channel Coding for Distributed Functional Compression using Deep Neural Networks. ISIT 2021: 2429-2434 - 2020
- [c6]Afshin Abdi, Yashas Malur Saidutta
Analog Compression and Communication for Federated Learning over Wireless MAC. SPAWC 2020: 1-5 - [c5]Yashas Malur Saidutta
VAE for Joint Source-Channel Coding of Distributed Gaussian Sources over AWGN MAC. SPAWC 2020: 1-5
2010 – 2019
- 2019
- [c4]Yashas Malur Saidutta
Joint Source-Channel Coding of Gaussian sources over AWGN channels via Manifold Variational Autoencoders. Allerton 2019: 514-520 - [c3]Yashas Malur Saidutta
M to 1 Joint Source-Channel Coding of Gaussian Sources via Dichotomy of the Input Space Based on Deep Learning. DCC 2019: 488-497 - [c2]Yashas Malur Saidutta
Joint Source-Channel Coding for Gaussian Sources over AWGN Channels using Variational Autoencoders. ISIT 2019: 1327-1331 - 2018
- [c1]Yashas Malur Saidutta
Increasing the learning Capacity of BCI Systems via CNN-HMM models. EMBC 2018: 1-4
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