Interpretable model learning in variational imaging: a bilevel optimization approach

In this paper, we investigate the use of bilevel optimization for model learning in variational imaging problems. Bilevel learning is an alternative approach to deep learning methods, which leads to fully interpretable models. However, it requires a detailed analytical insight into the underlying ma...

Full description

Saved in:
Bibliographic Details
Published inIMA journal of applied mathematics Vol. 89; no. 1; pp. 85 - 122
Main Authors De los Reyes, Juan Carlos, Villacís, David
Format Journal Article
LanguageEnglish
Published Oxford University Press 21.06.2024
Subjects
Online AccessGet full text

Cover

Loading…