Publications
DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning
S. A. Hebbar, S. K. Ankireddy, H. Kim, S. Oh, and P. Viswanath
International Conference on Machine Learning (ICML), 2024
Nested Construction of Polar Codes via Transformers
S.K. Ankireddy,
S. A. Hebbar, H. Wan, J. Cho, and C. Zhang
International Symposium on Information Theory (ISIT), 2024
SAKSHI: Decentralized AI Platforms *
S. Bhat, C. Chen, Z. Cheng, Z. Fang,
A. Hebbar, S. Kannan, R. Rana, P. Sheng, H. Tyagi, P. Viswanath, and X. Wang,
Preprint, 2023
*Authors are listed in alphabetical order.
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
S. A. Hebbar, V. Nadkarni, A. V. Makkuva, S. Bhat, S. Oh, and P. Viswanath
International Conference on Machine Learning (ICML), 2023
Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels
S. K. Ankireddy,
S. A. Hebbar, Y. Jiang, H. Kim, and P. Viswanath
IEEE International Symposium on Information Theory (ISIT), 2023
TinyTurbo: Efficient Turbo Decoders on Edge
S. A. Hebbar, R. K. Mishra, S. K. Ankireddy, A. V. Makkuva, H. Kim, and P. Viswanath
IEEE International Symposium on Information Theory (ISIT), 2022
Vocal Tract Articulatory Contour Detection in Real-Time Magnetic Resonance Images Using Spatio-Temporal Context
S. A. Hebbar, R. Sharma, K. Somandepalli, A. Toutios, and S. Narayanan
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Master's Thesis
Channel Decoding via Machine Learning
University of Illinois, Urbana-Champaign, 2022
Advisor: Prof. Pramod Viswanath