activity
20192024
most citedProductAE: Toward Deep Learning Driven Error-Correction Codes of Large Dimensions

3 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IT2024★ 2 cited

Simplified Successive Cancellation List Decoding of PAC Codes

Hamid Saber, Homayoon Hatami, Jung Hyun Bae

Polar codes are the first class of structured channel codes that achieve the symmetric capacity of binary channels with efficient encoding and decoding. In 2019, Arikan proposed a…

cs.IT2023★ 3 cited

ProductAE: Toward Deep Learning Driven Error-Correction Codes of Large Dimensions

Mohammad Vahid Jamali, Hamid Saber, Homayoon Hatami +1

While decades of theoretical research have led to the invention of several classes of error-correction codes, the design of such codes is an extremely challenging task, mostly driv…

cs.IT2021

List Autoencoder: Towards Deep Learning Based Reliable Transmission Over Noisy Channels

Hamid Saber, Homayoon Hatami, Jung Hyun Bae

In this paper, we present list autoencoder (listAE) to mimic list decoding used in classical coding theory. With listAE, the decoder network outputs a list of decoded message word…

cs.IT2021

ProductAE: Towards Training Larger Channel Codes based on Neural Product Codes

Mohammad Vahid Jamali, Hamid Saber, Homayoon Hatami +1

There have been significant research activities in recent years to automate the design of channel encoders and decoders via deep learning. Due the dimensionality challenge in chann…

cs.IT2019

Performance Bounds and Estimates for Quantized LDPC Decoders

Homayoon Hatami, David G. M. Mitchell, Daniel J. Costello +1

The performance of low-density parity-check (LDPC) codes at high signal-to-noise ratios (SNRs) is known to be limited by the presence of certain sub-graphs that exist in the Tanner…