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01/16/2023
Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes
Reed-Muller (RM) codes achieve the capacity of general binary-input memo...
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10/01/2022
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
Polar codes are widely used state-of-the-art codes for reliable communic...
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08/29/2021
KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning
Landmark codes underpin reliable physical layer communication, e.g., Ree...
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02/02/2021
Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding
Reed-Muller (RM) codes are conjectured to achieve the capacity of any bi...
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08/28/2019
Optimal transport mapping via input convex neural networks
In this paper, we present a novel and principled approach to learn the o...
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06/06/2019
Learning in Gated Neural Networks
Gating is a key feature in modern neural networks including LSTMs, GRUs ...
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10/09/2018
Learning One-hidden-layer Neural Networks under General Input Distributions
Significant advances have been made recently on training neural networks...
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02/21/2018
