Marcello Carioni

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 13

Top Topics

Regularization Methods

Convex Formulation

Top Venues

Found. Comput. Math.

Comput. Methods Programs Biomed.

Publications

Simone Saitta, Marcello Carioni, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Alberto Redaelli
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI. Comput. Methods Programs Biomed. 246 (2024)
Kristian Bredies, Marcello Carioni, Silvio Fanzon, Daniel Walter
Asymptotic linear convergence of fully-corrective generalized conditional gradient methods. Math. Program. 205 (1) (2024)
Marcello Carioni, Subhadip Mukherjee, Hong Ye Tan, Junqi Tang
Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging. CoRR (2023)
Simone Saitta, Marcello Carioni, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Alberto Redaelli
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI. CoRR (2023)
Kristian Bredies, Marcello Carioni, Silvio Fanzon, Francisco Romero
A Generalized Conditional Gradient Method for Dynamic Inverse Problems with Optimal Transport Regularization. Found. Comput. Math. 23 (3) (2023)
Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb
End-to-end reconstruction meets data-driven regularization for inverse problems. NeurIPS (2021)
Georgios Batzolis, Marcello Carioni, Christian Etmann, Soroosh Afyouni, Zoe Kourtzi, Carola-Bibiane Schönlieb
CAFLOW: Conditional Autoregressive Flows. CoRR (2021)
Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb
End-to-end reconstruction meets data-driven regularization for inverse problems. CoRR (2021)
Kristian Bredies, Marcello Carioni, Silvio Fanzon, Francisco Romero
A generalized conditional gradient method for dynamic inverse problems with optimal transport regularization. CoRR (2020)
Giorgio Patrini, Rianne van den Berg, Patrick Forré, Marcello Carioni, Samarth Bhargav, Max Welling, Tim Genewein, Frank Nielsen
Sinkhorn AutoEncoders. UAI (2019)
Giorgio Patrini, Marcello Carioni, Patrick Forré, Samarth Bhargav, Max Welling, Rianne van den Berg, Tim Genewein, Frank Nielsen
Sinkhorn AutoEncoders. CoRR (2018)
Giorgio Patrini, Frank Nielsen, Richard Nock, Marcello Carioni
Loss factorization, weakly supervised learning and label noise robustness. ICML (2016)
Giorgio Patrini, Frank Nielsen, Richard Nock, Marcello Carioni
Loss factorization, weakly supervised learning and label noise robustness. CoRR (2016)