Inverse problems in imaging and machine learning - Ferdia Sherry

Physics-informed Machine Learning for Inverse Problems

Supervised Machine Learning as an Inverse Problem

MDS20 Minitutorial: Solving Inverse Problems with Deep Learning by Lexing Ying

Data-driven regularisation for solving inverse problems - Carola-Bibiane Schönlieb, Turing/Cambridge

Ozan Öktem - Scientific Machine Learning: An Overview with Applications to Inverse Problems

Martin Genzel: Solving Inverse Problems With Deep Neural Networks - Robustness Included?

Deep Learning and Inverse Problems - ArXiv:2309.00802

IAIFI Colloquium: Seeing Beyond the Blur: Imaging Black Holes with Increasingly Strong Assumptions

The mother of all representer theorems for inverse problems & machine learning - Michael Unser

Learning Physics Informed Machine Learning Part 2- Inverse Physics Informed Neural Networks (PINNs)

"New representer theorems for inverse problems and machine learning" Prof. Michaël Unser

From shallow to deep learning for inverse imaging problems - Carola-Bibiane Schönlieb, Cambridge

Denoising as a Building Block for Imaging, Inverse Problems, and Machine Learning

Inverse Problems - Definition, History and applications

Invertible Neural Networks and Inverse Problems

Ferdia Sherry - Structure-preserving machine learning for inverse problems

On Inverse Problems on Graphis with Geometric Deep Learning

Total Deep Variation for Linear Inverse Problems

PINNs for inverse problems