3 papers
astro-ph.IM2026
Graph Neural Networks Trained on Null Signal for Angle Reconstruction in X-ray Polarimetry
Vittorio Latorre, Victor Rodriguez-Fernandez, Alessandro Di Marco +3
Scientific real detectors often produce sparse, irregular data defined on non-Euclidean domains, where conventional convolutional neural networks (CNNs) impose geometric biases tha…
math.OC2025
Duality for Non Convex Composite Functions via the Fenchel Rockafellar Perturbation Framework
Vittorio Latorre
We examine the duality theory for a class of non-convex functions obtained by composing a convex function with a continuous one. Using Fenchel duality, we derive a dual problem tha…
math.OC2025
On Implicit Concave Structures in Half-Quadratic Methods for Signal Reconstruction
Vittorio Latorre
In this work, we introduce a new class of non-convex functions, called implicit concave functions, which are compositions of a concave function with a continuously differentiable m…