Learning Maximum Margin Channel Decoders for Additive Noise Channels: International Zurich Seminar on Information and Communication (IZS 2022), Zurich, Switzerland, March 2–4, 2022

Amit Tsvieli, Nir Weinberger

Technion - Israel Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Fingerprint

Dive into the research topics of 'Learning Maximum Margin Channel Decoders for Additive Noise Channels: International Zurich Seminar on Information and Communication (IZS 2022), Zurich, Switzerland, March 2–4, 2022'. Together they form a unique fingerprint.

Engineering & Materials Science