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math.OC2025
Restarted contractive operators to learn at equilibrium
Leo Davy, Luis M. Briceno-Arias, N. Pustelnik
Bilevel optimization offers a methodology to learn hyperparameters in imaging inverse problems, yet its integration with automatic differentiation techniques remains challenging. O…
math.OC2024
A multilevel framework for accelerating uSARA in radio-interferometric imaging
Guillaume Lauga, Audrey Repetti, Elisa Riccietti +3
This paper presents a multilevel algorithm specifically designed for radio-interferometric imaging in astronomy. The proposed algorithm is used to solve the uSARA (unconstrained Sp…
math.OC2024
Comparison of Proximal First-Order Primal and Primal-Dual algorithms via Performance Estimation
Nizar Bousselmi, Nelly Pustelnik, Julien M. Hendrickx +1
Selecting the fastest algorithm for a specific signal/image processing task is a challenging question. We propose an approach based on the Performance Estimation Problem framework…