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2020 – today
- 2024
[j6]Luca Calatroni, Marco Donatelli, Serena Morigi, Marco Prato, Matteo Santacesaria:
Guest Editorial JMIV Special Issue SSVM'23. J. Math. Imaging Vis. 66(4): 417-418 (2024)- [j5]Giovanni S. Alberti, Johannes Hertrich, Matteo Santacesaria, Silvia Sciutto:
Manifold Learning by Mixture Models of VAEs for Inverse Problems. J. Mach. Learn. Res. 25: 202:1-202:35 (2024) - [j4]Giovanni S. Alberti
, Romain Petit, Matteo Santacesaria:
Localization of Point Scatterers via Sparse Optimization on Measures. SIAM J. Imaging Sci. 17(3): 1619-1649 (2024) - [c2]Roberto Di Via, Matteo Santacesaria, Francesca Odone, Vito Paolo Pastore:
Is In-Domain Data Beneficial in Transfer Learning for Landmarks Detection in X-Ray Images? ISBI 2024: 1-5 - [i11]Giovanni S. Alberti, Luca Ratti, Matteo Santacesaria, Silvia Sciutto:
Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems. CoRR abs/2401.16612 (2024) - [i10]Giovanni S. Alberti, Romain Petit, Matteo Santacesaria:
Localization of point scatterers via sparse optimization on measures. CoRR abs/2402.00737 (2024) - [i9]Roberto Di Via, Matteo Santacesaria, Francesca Odone, Vito Paolo Pastore:
Is in-domain data beneficial in transfer learning for landmarks detection in x-ray images? CoRR abs/2403.01470 (2024) - 2023
- [j3]Gianandrea Lanzara, Matteo Santacesaria:
Market areas in general equilibrium. J. Econ. Theory 211: 105675 (2023) - [e1]Luca Calatroni, Marco Donatelli, Serena Morigi, Marco Prato, Matteo Santacesaria:
Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Santa Margherita di Pula, Italy, May 21-25, 2023, Proceedings. Lecture Notes in Computer Science 14009, Springer 2023, ISBN 978-3-031-31974-7 [contents] - [i8]Giovanni S. Alberti, Alessandro Felisi, Matteo Santacesaria, S. Ivan Trapasso:
Compressed sensing for inverse problems and the sample complexity of the sparse Radon transform. CoRR abs/2302.03577 (2023) - [i7]Giovanni S. Alberti, Johannes Hertrich, Matteo Santacesaria, Silvia Sciutto:
Manifold Learning by Mixture Models of VAEs for Inverse Problems. CoRR abs/2303.15244 (2023) - 2022
- [i6]Giovanni S. Alberti, Matteo Santacesaria, Silvia Sciutto:
Continuous Generative Neural Networks. CoRR abs/2205.14627 (2022) - 2021
- [j2]Giovanni S. Alberti, Paolo Campodonico, Matteo Santacesaria:
Compressed Sensing Photoacoustic Tomography Reduces to Compressed Sensing for Undersampled Fourier Measurements. SIAM J. Imaging Sci. 14(3): 1039-1077 (2021) - [c1]Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria:
Learning the optimal Tikhonov regularizer for inverse problems. NeurIPS 2021: 25205-25216 - [i5]Giovanni S. Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria:
Learning the optimal regularizer for inverse problems. CoRR abs/2106.06513 (2021) - 2020
- [i4]Giovanni S. Alberti, Paolo Campodonico, Matteo Santacesaria:
Compressed sensing photoacoustic tomography reduces to compressed sensing for undersampled Fourier measurements. CoRR abs/2010.08388 (2020) - [i3]Valentina Candiani, Matteo Santacesaria:
Neural networks for classification of strokes in electrical impedance tomography on a 3D head model. CoRR abs/2011.02852 (2020)
2010 – 2019
- 2019
- [i2]Matteo Santacesaria, Toshiaki Yachimura:
On an inverse Robin spectral problem. CoRR abs/1909.08002 (2019) - 2018
- [j1]Elena Beretta, Stefano Micheletti, Simona Perotto, Matteo Santacesaria:
Reconstruction of a piecewise constant conductivity on a polygonal partition via shape optimization in EIT. J. Comput. Phys. 353: 264-280 (2018) - 2017
- [i1]Giovanni S. Alberti, Matteo Santacesaria:
Infinite dimensional compressed sensing from anisotropic measurements. CoRR abs/1710.11093 (2017)
Coauthor Index
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