Marcello Carioni

Orcid: 0000-0002-2282-4348

According to our database1, Marcello Carioni authored at least 15 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Multi-Headed Transformer Architectures as Time-dependent Wasserstein Gradient Flows.
CoRR, May, 2026

A Dual Certificate Approach to Sparsity in Infinite-Width Shallow Neural Networks.
CoRR, March, 2026

A Lipschitz Spaces View of Infinitely Wide Shallow Neural Networks.
SIAM J. Math. Anal., 2026

2025
An invertible generative model for forward and inverse problems.
CoRR, September, 2025

A sparse optimization approach to infinite infimal convolution regularization.
Numerische Mathematik, February, 2025

Extremal Points and Sparse Optimization for Generalized Kantorovich-Rubinstein Norms.
Found. Comput. Math., February, 2025

Perturbation-Aware Distributionally Robust Optimization for Inverse Problems.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025

2024
Asymptotic linear convergence of fully-corrective generalized conditional gradient methods.
Math. Program., May, 2024

Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI.
Comput. Methods Programs Biomed., 2024

2023
A Generalized Conditional Gradient Method for Dynamic Inverse Problems with Optimal Transport Regularization.
Found. Comput. Math., June, 2023

Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging.
CoRR, 2023

2021
CAFLOW: Conditional Autoregressive Flows.
CoRR, 2021

End-to-end reconstruction meets data-driven regularization for inverse problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019
Sinkhorn AutoEncoders.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2016
Loss factorization, weakly supervised learning and label noise robustness.
Proceedings of the 33nd International Conference on Machine Learning, 2016


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