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20202026
most citedAn initial alignment between neural network and target is needed for gradient descent to learn

2 citations · 3 across the 8 of their papers we have counts for

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cs.LG2024

Learning High-Degree Parities: The Crucial Role of the Initialization

Emmanuel Abbe, Elisabetta Cornacchia, Jan Hązła +1

Parities have become a standard benchmark for evaluating learning algorithms. Recent works show that regular neural networks trained by gradient descent can efficiently learn degre…

cs.IT2024

A Quantitative Version of More Capable Channel Comparison

Donald Kougang-Yombi, Jan Hązła

This paper introduces a quantitative generalization of the ``more capable'' comparison of broadcast channels, which is termed ``more capable with advantage''. Some basic properties…