Publications

  • A. Aspri, A. Benfenati, P. Causin, C. Cavaterra, G. Naldi. Mathematical and numerical challenges in diffuse optical tomography inverse problems. Discrete and Continuous Dynamical Systems – S, 2024, 17(1): 421-461. doi: 10.3934/dcdss.2023210. Link
  • A. Benfenati, A. Catozzi, G. Franchini,F. Porta, Early stopping strategies in Deep Image Prior, accepted to publication, https://doi.org/10.21203/rs.3.rs-4396753/v1. Link.
  • A. Benfenati, P. Cascarano, Constrained Plug-and-Play Priors for Image Restoration. J. Imaging 2024, 10, 50. https://doi.org/10.3390/jimaging10020050. Link.
  • D. Evangelista, E. Loli Piccolomini, E. Morotti J. G. Nagy (2025). To be or not to be stable, that is the question: understanding neural networks for inverse problems. SIAM Journal on Scientific Computing47(1), C77-C99. Link.
  • S. Bonettini, G. Franchini, D. Pezzi, M. Prato, Linesearch-enhanced forward-backward methods for inexact nonconvex scenarios. SIAM Journal on Imaging Sciences, in press.
  • S. Aleotti, S. Bonettini, M. Donatelli, M. Prato, S. Rebegoldi, A nested primal-dual iterated Tikhonov method for regularized convex optimization. Computational Optimization and Applications , in press. DOI:10.1007/s10589-024-00613-4. Link.
  • S. Bonettini, M. Prato, S. Rebegoldi 2024, A new proximal heavy-ball inexact line-search algorithm. Computational Optimization and Applications 88, 525-565. Link.