Matteo Santacesaria

33 papers A* 1Journal 27Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Infinite dimensional generative sensing. CoRR Paolo Angella, Vito Paolo Pastore, Matteo Santacesaria
2026	J	`jnl`	Learning Sparsity-Promoting Regularizers for Linear Inverse Problems. SIAM J. Math. Data Sci. Giovanni S. Alberti, Ernesto De Vito, Tapio Helin, Matti Lassas, Luca Ratti, Matteo Santacesaria
2025	—	`conf`	Are X-Ray Landmark Detection Models Fair? A Preliminary Assessment and Mitigation Strategy. ICCVW Roberto Di Via, Massimiliano Ciranni, Davide Marinelli, Allison Clement, Nikil Patel, Julian Wyatt, Francesca Odone, Matteo Santacesaria, Irina Voiculescu, Vito Paolo Pastore
2025	—	`conf`	Assessing the Use of Diffusion Models for Motion Artifact Correction in Brain MRI. ISBI Paolo Angella, Vito Paolo Pastore, Matteo Santacesaria
2025	J	`jnl`	Assessing the use of Diffusion models for motion artifact correction in brain MRI. CoRR Paolo Angella, Vito Paolo Pastore, Matteo Santacesaria
2025	J	`jnl`	Compressed sensing for inverse problems II: applications to deconvolution, source recovery, and MRI. CoRR Giovanni S. Alberti, Alessandro Felisi, Matteo Santacesaria, S. Ivan Trapasso
2025	J	`jnl`	DIMA: DIffusing Motion Artifacts for Unsupervised Correction in Brain MRI Images. IEEE Access Paolo Angella, Luca Balbi, Fabrizio Ferrando, Paolo Traverso, Rosario Varriale, Vito Paolo Pastore, Matteo Santacesaria
2025	J	`jnl`	DIMA: DIffusing Motion Artifacts for unsupervised correction in brain MRI images. CoRR Paolo Angella, Luca Balbi, Fabrizio Ferrando, Paolo Traverso, Rosario Varriale, Vito Paolo Pastore, Matteo Santacesaria
2025	J	`jnl`	Deep Unfolding Network for Nonlinear Multi-Frequency Electrical Impedance Tomography. CoRR Giovanni S. Alberti, Damiana Lazzaro, Serena Morigi, Luca Ratti, Matteo Santacesaria
2025	J	`jnl`	MAD: Manifold Attracted Diffusion. CoRR Dennis Elbrächter, Giovanni S. Alberti, Matteo Santacesaria
2025	J	`jnl`	TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction. CoRR Tatiana A. Bubba, Matteo Santacesaria, Andrea Sebastiani
2025	—	`conf`	TomoSelfDEQ: Self-supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction. SSVM (1) Tatiana A. Bubba, Matteo Santacesaria, Andrea Sebastiani
2024	J	`jnl`	Guest Editorial JMIV Special Issue SSVM'23. J. Math. Imaging Vis. Luca Calatroni, Marco Donatelli, Serena Morigi, Marco Prato, Matteo Santacesaria
2024	—	`conf`	Is In-Domain Data Beneficial in Transfer Learning for Landmarks Detection in X-Ray Images? ISBI Roberto Di Via, Matteo Santacesaria, Francesca Odone, Vito Paolo Pastore
2024	J	`jnl`	Is in-domain data beneficial in transfer learning for landmarks detection in x-ray images? CoRR Roberto Di Via, Matteo Santacesaria, Francesca Odone, Vito Paolo Pastore
2024	J	`jnl`	Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems. CoRR Giovanni S. Alberti, Luca Ratti, Matteo Santacesaria, Silvia Sciutto
2024	J	`jnl`	Learning sparsity-promoting regularizers for linear inverse problems. CoRR Giovanni S. Alberti, Ernesto De Vito, Tapio Helin, Matti Lassas, Luca Ratti, Matteo Santacesaria
2024	J	`jnl`	Localization of Point Scatterers via Sparse Optimization on Measures. SIAM J. Imaging Sci. Giovanni S. Alberti, Romain Petit, Matteo Santacesaria
2024	J	`jnl`	Localization of point scatterers via sparse optimization on measures. CoRR Giovanni S. Alberti, Romain Petit, Matteo Santacesaria
2024	J	`jnl`	Manifold Learning by Mixture Models of VAEs for Inverse Problems. J. Mach. Learn. Res. Giovanni S. Alberti, Johannes Hertrich, Matteo Santacesaria, Silvia Sciutto
2023	J	`jnl`	Compressed sensing for inverse problems and the sample complexity of the sparse Radon transform. CoRR Giovanni S. Alberti, Alessandro Felisi, Matteo Santacesaria, S. Ivan Trapasso
2023	J	`jnl`	Manifold Learning by Mixture Models of VAEs for Inverse Problems. CoRR Giovanni S. Alberti, Johannes Hertrich, Matteo Santacesaria, Silvia Sciutto
2023	J	`jnl`	Market areas in general equilibrium. J. Econ. Theory Gianandrea Lanzara, Matteo Santacesaria
2023	—	`ed.`	Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Santa Margherita di Pula, Italy, May 21-25, 2023, Proceedings SSVM Luca Calatroni, Marco Donatelli, Serena Morigi, Marco Prato, Matteo Santacesaria
2022	J	`jnl`	Continuous Generative Neural Networks. CoRR Giovanni S. Alberti, Matteo Santacesaria, Silvia Sciutto
2021	J	`jnl`	Compressed Sensing Photoacoustic Tomography Reduces to Compressed Sensing for Undersampled Fourier Measurements. SIAM J. Imaging Sci. Giovanni S. Alberti, Paolo Campodonico, Matteo Santacesaria
2021	A*	`conf`	Learning the optimal Tikhonov regularizer for inverse problems. NeurIPS Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria
2021	J	`jnl`	Learning the optimal regularizer for inverse problems. CoRR Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria
2020	J	`jnl`	Compressed sensing photoacoustic tomography reduces to compressed sensing for undersampled Fourier measurements. CoRR Giovanni S. Alberti, Paolo Campodonico, Matteo Santacesaria
2020	J	`jnl`	Neural networks for classification of strokes in electrical impedance tomography on a 3D head model. CoRR Valentina Candiani, Matteo Santacesaria
2019	J	`jnl`	On an inverse Robin spectral problem. CoRR Matteo Santacesaria, Toshiaki Yachimura
2018	J	`jnl`	Reconstruction of a piecewise constant conductivity on a polygonal partition via shape optimization in EIT. J. Comput. Phys. Elena Beretta, Stefano Micheletti, Simona Perotto, Matteo Santacesaria
2017	J	`jnl`	Infinite dimensional compressed sensing from anisotropic measurements. CoRR Giovanni S. Alberti, Matteo Santacesaria