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Yihan Jiang

4 accepted papers

2019

Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels

NeurIPS 2019poster

Designing codes that combat the noise in a communication medium has remained a significant area of research in information theory as well as wireless communications. Asymptotically optimal channel codes have been developed by mathematicians for communicating under canonical models after over 60 year…

2018

Communication Algorithms via Deep Learning

ICLR 2018poster

Coding theory is a central discipline underpinning wireline and wireless modems that are the workhorses of the information age. Progress in coding theory is largely driven by individual human ingenuity with sporadic breakthroughs over the past century. In this paper we study whether it is possible t…

2018

Deepcode: Feedback Codes via Deep Learning

NeurIPS 2018poster

The design of codes for communicating reliably over a statistically well defined channel is an important endeavor involving deep mathematical research and wide- ranging practical applications. In this work, we present the first family of codes obtained via deep learning, which significantly beats st…