Data-Consistent Learning of Inverse Problems

Markus Haltmeier, Gyeongha Hwang

Inverse problems are inherently ill-posed, suffering from non-uniqueness and instability. Classical regularization methods provide mathematically well-founded solutions, ensuring s…