Increasing the learning Capacity of BCI Systems via CNN-HMM models. - Yashas Malur Saidutta; Jun Zou 005; Faramarz Fekri (EMBC, 2018)

Joint Source-Channel Coding of Gaussian sources over AWGN channels via Manifold Variational Autoencoders. - Yashas Malur Saidutta; Afshin Abdi; Faramarz Fekri (Allerton, 2019)

M to 1 Joint Source-Channel Coding of Gaussian Sources via Dichotomy of the Input Space Based on Deep Learning. - Yashas Malur Saidutta; Afshin Abdi; Faramarz Fekri (DCC, 2019)

Joint Source-Channel Coding for Gaussian Sources over AWGN Channels using Variational Autoencoders. - Yashas Malur Saidutta; Afshin Abdi; Faramarz Fekri (ISIT, 2019)

Analog Compression and Communication for Federated Learning over Wireless MAC. - Afshin Abdi; Yashas Malur Saidutta; Faramarz Fekri (SPAWC, 2020)

VAE for Joint Source-Channel Coding of Distributed Gaussian Sources over AWGN MAC. - Yashas Malur Saidutta; Afshin Abdi; Faramarz Fekri (SPAWC, 2020)

Analog Joint Source-Channel Coding for Distributed Functional Compression using Deep Neural Networks. - Yashas Malur Saidutta; Afshin Abdi; Faramarz Fekri (ISIT, 2021)

Social event planning using hybrid pairwise Markov random fields. - Xiao Li; Yashas Malur Saidutta; Faramarz Fekri (Int. J. Intell. Syst., 2021)

Joint Source-Channel Coding Over Additive Noise Analog Channels Using Mixture of Variational Autoencoders. - Yashas Malur Saidutta; Afshin Abdi; Faramarz Fekri (IEEE J. Sel. Areas Commun., 2021)

A Machine Learning Framework for Privacy-Aware Distributed Functional Compression over AWGN Channels. - Yashas Malur Saidutta; Faramarz Fekri; Afshin Abdi (ITW, 2022)

A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT. - Yashas Malur Saidutta; Afshin Abdi; Faramarz Fekri (CoRR, 2022)

To Wake-Up or Not to Wake-Up: Reducing Keyword False Alarm by Successive Refinement. - Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Ching Hua Lee; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2023)

Robust Keyword Spotting for Noisy Environments by Leveraging Speech Enhancement and Speech Presence Probability. - Chouchang Yang; Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Ching Hua Lee; Yilin Shen; Hongxia Jin (INTERSPEECH, 2023)

CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss. - Rakshith Sharma Srinivasa; Jaejin Cho; Chouchang Yang; Yashas Malur Saidutta; Ching Hua Lee; Yilin Shen; Hongxia Jin (NeurIPS, 2023)

Attri-Fed: A GIB Framework for Attribute-Based Privacy and Communication-Efficient Federated Learning. - Ahmet Faruk Saz; Yashas Malur Saidutta; Faramarz Fekri; Mustafa Riza Akdeniz; Brandon Edwards; Nageen Himayat (SPAWC, 2023)

Machine Learning for Information Exchange and Collaborative Inference over Wireless Channels. - Yashas Malur Saidutta (2023)

End-To-End Personalized Cuff-Less Blood Pressure Monitoring Using ECG and PPG Signals. - Suhas BN; Rakshith Sharma Srinivasa; Yashas Malur Saidutta; Jaejin Cho; Ching Hua Lee; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2024)

Zero-Shot Intent Classification Using a Semantic Similarity Aware Contrastive Loss and Large Language Model. - Jaejin Cho; Rakshith Sharma Srinivasa; Ching Hua Lee; Yashas Malur Saidutta; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2024)

Leveraging Self-Supervised Speech Representations for Domain Adaptation in Speech Enhancement. - Ching Hua Lee; Chouchang Yang; Rakshith Sharma Srinivasa; Yashas Malur Saidutta; Jaejin Cho; Yilin Shen; Hongxia Jin (ICASSP, 2024)

CIFD: Controlled Information Flow to Enhance Knowledge Distillation. - Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Jaejin Cho; Ching Hua Lee; Chouchang Yang; Yilin Shen; Hongxia Jin (NeurIPS, 2024)

Model-Theoretic Logic for Mathematical Theory of Semantic Information and Communication. - Ahmet Faruk Saz; Siheng Xiong; Yashas Malur Saidutta; Faramarz Fekri (CoRR, 2024)

Better Exploiting Spatial Separability in Multichannel Speech Enhancement with an Align-and-Filter Network. - Ching Hua Lee; Chouchang Yang; Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Yilin Shen; Hongxia Jin (ICASSP, 2025)

MIB: Mixed Information Bottleneck for Out-of-Distribution Keyword Spotting. - Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Jaejin Cho; Ching Hua Lee; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2025)

RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior. - Ching Hua Lee; Chouchang Yang; Jaejin Cho; Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Yilin Shen; Hongxia Jin (CoRR, 2025)