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DeepPolar : Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning
International Conference on Machine Learning, 2024 by Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath.
Code repository: https://github.com/hebbarashwin/deeppolar -
Neural Distributed Source Coding
Preprint.
by Jay Whang, Alliot Nagle, Anish Acharya, Hyeji Kim, and Alexandros G. Dimakis.
Code repository: https://github.com/acnagle/neural-dsc -
Task-aware Distributed Source Coding under Dynamic Bandwidth
Advances in Neural Information Processing Systems (NeurIPS), 2023.
by Po-han Li*, Sravan Kumar Ankireddy*, Ruihan Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi Pari, Ufuk Topcu, Sandeep P. Chinchali, Hyeji Kim.
Code repository: https://github.com/UTAustin-SwarmLab/Task-aware-Distributed-Source-Coding -
Interpreting Neural Min-Sum Decoders
International Conference on Communications, 2023
by Sravan Kumar Ankireddy and Hyeji Kim.
Code repository: https://github.com/sravan-ankireddy/nams -
DeepIC+: Learning Codes for Interference Channels
IEEE Transactions on Wireless Communications, 2023
by Karl Chahine, Yihan Jiang, Joonyoung Cho, and Hyeji Kim.
Code repository: https://github.com/karlchahine/DeepIC -
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
International Conference on Machine Learning, 2023 by Ashwin Hebbar, Viraj Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath Code repository: https://github.com/hebbarashwin/neural_polar_decoder -
TinyTurbo: Efficient Turbo Decoders on Edge
International Symposium on Information Theory, 2022 by Ashwin Hebbar, Rajesh Mishra, Sravan Kumar Ankireddy, Ashok Makkuva, Hyeji Kim and Pramod Viswanath.
Code repository: https://github.com/hebbarashwin/tinyturbo -
KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning
International Conference on Machine Learning, 2021 by Ashok Vardhan Makkuva, Xiyang Liu, Mohammad Vahid Jamali, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
Code repository: https://github.com/deepcomm/KOcodes -
Learning-Based Coded Computation
IEEE Journal on Selected Areas in Information Theory, 2020
by J. Kosaian, K. V. Rashmi, and S. Venkataraman
Code repository: https://github.com/Thesys-lab/parity-models -
Parity Models: Erasure-Coded Resilience for Prediction Serving Systems
In ACM Symposium on Operating Systems Principles (SOSP), 2019
by J. Kosaian, K. V. Rashmi, and S. Venkataraman
Code repository: https://github.com/Thesys-lab/parity-models -
Communication Algorithms via Deep Learning
International Conference on Learning Representations (ICLR), Vancouver, April 2018
by Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath Code: https://github.com/yihanjiang/Sequential-RNN-Decoder -
Deepcode: Feedback Codes via Deep Learning
IEEE Journal on Selected Areas in Information Theory, 2020
Conference on Neural Information Processing Systems (NeurIPS), Montreal, December 2018
by Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath Code (Keras): https://github.com/hyejikim1/Deepcode
Code (PyTorch): https://github.com/yihanjiang/feedback_code -
Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels
Conference on Neural Information Processing Systems (NeurIPS), Vancouver, December 2019
by Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Code: https://github.com/yihanjiang/turboae