Layer-wise relevance propagation for backbone identification in discrete fracture networks. - Stefano Berrone; Francesco Della Santa; Antonio Mastropietro; Sandra Pieraccini; Francesco Vaccarino (J. Comput. Sci., 2021)

Data-Driven Deep Learning Methods for Physically-Based Simulations. - Francesco Della Santa (2021)

Alternate Training of Shared and Task-Specific Parameters for Multi-Task Neural Networks. - Stefania Bellavia; Francesco Della Santa; Alessandra Papini (CoRR, 2023)

Discontinuous neural networks and discontinuity learning. - Francesco Della Santa; Sandra Pieraccini (J. Comput. Appl. Math., 2023)

Graph-Informed Neural Networks for Sparse Grid-Based Discontinuity Detectors. - Francesco Della Santa; Sandra Pieraccini (CoRR, 2024)

Sparse Implementation of Versatile Graph-Informed Layers. - Francesco Della Santa (CoRR, 2024)

A New Linear Programming Approach and a New Backtracking Strategy for Multiple-Gradient Descent in Multi-Objective Optimization. - Francesco Della Santa (CoRR, 2024)

A recipe based on Lebesgue functions for learning Variably Scaled Kernels via Discontinuous Neural Networks (ΔNN-VSKs). - Gianluca Audone; Francesco Della Santa; Emma Perracchione; Sandra Pieraccini (CoRR, 2024)

GradINN: Gradient Informed Neural Network. - Filippo Aglietti; Francesco Della Santa; Andrea Piano; Virginia Aglietti (CoRR, 2024)

A recipe for learning Variably Scaled Kernels via Discontinuous Neural Networks. - Gianluca Audone; Francesco Della Santa; Emma Perracchione; Sandra Pieraccini (J. Comput. Appl. Math., 2025)

Edge-Wise Graph-Instructed Neural Networks. - Francesco Della Santa; Antonio Mastropietro; Sandra Pieraccini; Francesco Vaccarino (J. Comput. Sci., 2025)

Automated Detection of Sport Highlights from Audio and Video Sources. - Francesco Della Santa; Morgana Lalli (CoRR, 2025)