Matteo Santacesaria

Orcid: 0000-0001-7257-604X

According to our database1, Matteo Santacesaria authored at least 14 papers between 2017 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Is in-domain data beneficial in transfer learning for landmarks detection in x-ray images?
CoRR, 2024

Localization of point scatterers via sparse optimization on measures.
CoRR, 2024

Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems.
CoRR, 2024

2023
Market areas in general equilibrium.
J. Econ. Theory, July, 2023

Manifold Learning by Mixture Models of VAEs for Inverse Problems.
CoRR, 2023

Compressed sensing for inverse problems and the sample complexity of the sparse Radon transform.
CoRR, 2023

2022
Continuous Generative Neural Networks.
CoRR, 2022

2021
Compressed Sensing Photoacoustic Tomography Reduces to Compressed Sensing for Undersampled Fourier Measurements.
SIAM J. Imaging Sci., 2021

Learning the optimal regularizer for inverse problems.
CoRR, 2021

Learning the optimal Tikhonov regularizer for inverse problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Neural networks for classification of strokes in electrical impedance tomography on a 3D head model.
CoRR, 2020

2019
On an inverse Robin spectral problem.
CoRR, 2019

2018
Reconstruction of a piecewise constant conductivity on a polygonal partition via shape optimization in EIT.
J. Comput. Phys., 2018

2017
Infinite dimensional compressed sensing from anisotropic measurements.
CoRR, 2017


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