2 papers
cs.LG2026
On the Sample Complexity of Learning for Blind Inverse Problems
Nathan Buskulic, Luca Calatroni, Lorenzo Rosasco +1
Blind inverse problems arise in many experimental settings where both the signal of interest and the forward operator are (partially) unknown. In this context, methods developed fo…
cs.IT2026
A Comparative Study of MAP and LMMSE Estimators for Blind Inverse Problems
Nathan Buskulic, Luca Calatroni
Maximum-a-posteriori (MAP) approaches are an effective framework for inverse problems with known forward operators, particularly when combined with expressive priors and careful pa…