Gitta Kutyniok: “An Information Theoretic Approach to Validate Deep Learning-Based Algorithms“

Machine Learning for Physics and the Physics of Learning 2019 Workshop III: Validation and Guarantees in Learning Physical Models: from Patterns to Governing Equations to Laws of Nature “An Information Theoretic Approach to Validate Deep Learning-Based Algorithms“ Gitta Kutyniok - Technische Universität Berlin, Program in Applied and Computational Mathematics Abstract: In this talk, we provide a theoretical framework for interpreting neural network decisions by formalizing the problem in a rate-distortion