30 citations · 33 across the 9 of their papers we have counts for
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math.NA2025
Greedy techniques for inverse problems
L. Bruni Bruno, P. Massa, E. Perracchione +1
Inverse imaging problems rely on limited and indirect measurements, making reconstruction highly dependent on both regularization and sample locations. We introduce a novel greedy…
math.NA2025
Convergence rates for Tikhonov regularization on compact sets: application to neural networks
Barbara Palumbo, Paolo Massa, Federico Benvenuto
In this work, we consider ill-posed inverse problems in which the forward operator is continuous and weakly closed, and the sought solution belongs to a weakly closed constraint se…
math.NA2020
Predictive risk estimation for the Expectation Maximization algorithm with Poisson data
Paolo Massa, Federico Benvenuto
In this work, we introduce a novel estimator of the predictive risk with Poisson data, when the loss function is the Kullback-Leibler divergence, in order to define a regularizatio…