Yashas Malur Saidutta

30 papers A* 3A 1B 6Misc 6Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 Misc conf
Better Exploiting Spatial Separability in Multichannel Speech Enhancement with an Align-and-Filter Network.
ICASSP
Ching Hua Lee, Chouchang Yang, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Yilin Shen, Hongxia Jin
2025 Misc conf
MIB: Mixed Information Bottleneck for Out-of-Distribution Keyword Spotting.
ICASSP
Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Jaejin Cho, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
2025 A* conf
RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior.
ICML
Ching Hua Lee, Chouchang Yang, Jaejin Cho, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Yilin Shen, Hongxia Jin
2025 J jnl
RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior.
CoRR
Ching Hua Lee, Chouchang Yang, Jaejin Cho, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Yilin Shen, Hongxia Jin
2025 B conf
SemTexIB: Semantic Text Communication with Information Bottleneck: Integrating Rate and Semantic Similarity into Training Objectives.
GLOBECOM
Abdulrahman Alamoudi, Ahmet Faruk Saz, Yashas Malur Saidutta, Faramarz Fekri
2025 J jnl
VOYAGER: A Training Free Approach for Generating Diverse Datasets using LLMs.
CoRR
Avinash Amballa, Yashas Malur Saidutta, Chi-Heng Lin, Vivek Kulkarni, Srinivas Chappidi
2024 A* conf
CIFD: Controlled Information Flow to Enhance Knowledge Distillation.
NeurIPS
Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Jaejin Cho, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
2024 B conf
Distributed Functional Compression for Independent Component Analysis in Wireless Networks.
GLOBECOM
A. Alamoudi, Yashas Malur Saidutta, Faramarz Fekri
2024 Misc conf
End-To-End Personalized Cuff-Less Blood Pressure Monitoring Using ECG and PPG Signals.
ICASSP
Suhas BN, Rakshith Sharma Srinivasa, Yashas Malur Saidutta, Jaejin Cho, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
2024 Misc conf
Leveraging Self-Supervised Speech Representations for Domain Adaptation in Speech Enhancement.
ICASSP
Ching Hua Lee, Chouchang Yang, Rakshith Sharma Srinivasa, Yashas Malur Saidutta, Jaejin Cho, Yilin Shen, Hongxia Jin
2024 J jnl
Model-Theoretic Logic for Mathematical Theory of Semantic Information and Communication.
CoRR
Ahmet Faruk Saz, Siheng Xiong, Yashas Malur Saidutta, Faramarz Fekri
2024 Misc conf
Zero-Shot Intent Classification Using a Semantic Similarity Aware Contrastive Loss and Large Language Model.
ICASSP
Jaejin Cho, Rakshith Sharma Srinivasa, Ching Hua Lee, Yashas Malur Saidutta, Chouchang Yang, Yilin Shen, Hongxia Jin
2023 — conf
Attri-Fed: A GIB Framework for Attribute-Based Privacy and Communication-Efficient Federated Learning.
SPAWC
Ahmet Faruk Saz, Yashas Malur Saidutta, Faramarz Fekri, Mustafa Riza Akdeniz, Brandon Edwards, Nageen Himayat
2023 A* conf
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss.
NeurIPS
Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin
2023 J jnl
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss.
CoRR
Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin
2023 — —
Machine Learning for Information Exchange and Collaborative Inference over Wireless Channels.
Yashas Malur Saidutta
2023 A conf
Robust Keyword Spotting for Noisy Environments by Leveraging Speech Enhancement and Speech Presence Probability.
INTERSPEECH
Chouchang Yang, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Yilin Shen, Hongxia Jin
2023 Misc conf
To Wake-Up or Not to Wake-Up: Reducing Keyword False Alarm by Successive Refinement.
ICASSP
Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
2023 J jnl
To Wake-up or Not to Wake-up: Reducing Keyword False Alarm by Successive Refinement.
CoRR
Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
2022 J jnl
A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT.
CoRR
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
2022 B conf
A Machine Learning Framework for Privacy-Aware Distributed Functional Compression over AWGN Channels.
ITW
Yashas Malur Saidutta, Faramarz Fekri, Afshin Abdi
2021 B conf
Analog Joint Source-Channel Coding for Distributed Functional Compression using Deep Neural Networks.
ISIT
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
2021 J jnl
Joint Source-Channel Coding Over Additive Noise Analog Channels Using Mixture of Variational Autoencoders.
IEEE J. Sel. Areas Commun.
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
2021 J jnl
Social event planning using hybrid pairwise Markov random fields.
Int. J. Intell. Syst.
Xiao Li, Yashas Malur Saidutta, Faramarz Fekri
2020 — conf
Analog Compression and Communication for Federated Learning over Wireless MAC.
SPAWC
Afshin Abdi, Yashas Malur Saidutta, Faramarz Fekri
2020 — conf
VAE for Joint Source-Channel Coding of Distributed Gaussian Sources over AWGN MAC.
SPAWC
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
2019 B conf
Joint Source-Channel Coding for Gaussian Sources over AWGN Channels using Variational Autoencoders.
ISIT
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
2019 — conf
Joint Source-Channel Coding of Gaussian sources over AWGN channels via Manifold Variational Autoencoders.
Allerton
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
2019 B conf
M to 1 Joint Source-Channel Coding of Gaussian Sources via Dichotomy of the Input Space Based on Deep Learning.
DCC
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri
2018 — conf
Increasing the learning Capacity of BCI Systems via CNN-HMM models.
EMBC
Yashas Malur Saidutta, Jun Zou, Faramarz Fekri