101 citations · 301 across the 44 of their papers we have counts for
5 papers · 1 filter
Turbo Autoencoder with a Trainable Interleaver
Karl Chahine, Yihan Jiang, Pooja Nuti +2
A critical aspect of reliable communication involves the design of codes that allow transmissions to be robustly and computationally efficiently decoded under noisy conditions. Adv…
DeepIC: Coding for Interference Channels via Deep Learning
Karl Chahine, Nanyang Ye, Hyeji Kim
The two-user interference channel is a model for multi one-to-one communications, where two transmitters wish to communicate with their corresponding receivers via a shared wireles…
A Channel Coding Benchmark for Meta-Learning
Rui Li, Ondrej Bohdal, Rajesh Mishra +4
Meta-learning provides a popular and effective family of methods for data-efficient learning of new tasks. However, several important issues in meta-learning have proven hard to st…
Neural Distributed Source Coding
Jay Whang, Alliot Nagle, Anish Acharya +2
Distributed source coding (DSC) is the task of encoding an input in the absence of correlated side information that is only available to the decoder. Remarkably, Slepian and Wolf s…
Linear Coding for AWGN channels with Noisy Output Feedback via Dynamic Programming
Rajesh Mishra, Deepanshu Vasal, Hyeji Kim
The optimal coding scheme for communicating a Gaussian message over an Additive White Gaussian noise (AWGN) channel with AWGN output feedback, with a limited number of transmission…