TherML: The Thermodynamics of Machine Learning

Abstract

In this work we offer an information-theoretic framework for representation learning that connects with a wide class of existing objectives in machine learning. We develop a formal correspondence between this work and thermodynamics and discuss its implications.

Tasks

Reproductions