Published: 01 Jan 2022, Last Modified: 12 May 2023ICML 2022Readers: Everyone
Abstract:This work is concerned with the following fundamental question in scientific machine learning: Can deep-learning-based methods solve noise-free inverse problems to near-perfect accuracy? Positive e...