📖 We put together with Mike Davies a review of self-supervised learning for inverse problems, covering the main approaches in the literature with a unified notation and analysis.
arxiv.org/abs/2601.03244
arxiv.org
Self-Supervised Learning from Noisy and Incomplete Data
Many important problems in science and engineering involve inferring a signal from noisy and/or incomplete observations, where the observation process is known. Historically, this problem has been tac...
