Francesco Della Santa

According to our database, Francesco Della Santa authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Graph-Instructed Neural Networks for parametric problems with varying boundary conditions.

Francesco Della Santa, Sandra Pieraccini, Maria Strazzullo

CoRR, March, 2026

Gradient-informed neural networks: Embedding prior beliefs for learning in low-data scenarios.

Filippo Aglietti, Francesco Della Santa, Andrea Piano, Virginia Aglietti

Neural Networks, 2026

A linear programming framework and an improved backtracking strategy for multiple-gradient descent.

Francesco Della Santa

J. Comput. Appl. Math., 2026

Graph-instructed neural networks for sparse grid-based discontinuity detectors.

Francesco Della Santa, Sandra Pieraccini

Appl. Math. Comput., 2026

Bridge Failure Risk Prediction Using Geospatial Data Processing via Multi-Head Attention Deep Learning Model.

Francesco Della Santa, Federico Sisci, Farbod Khosro Anjom, Flavio Pino, Marco Civera

IEEE Access, 2026

2025

Automated Detection of Sport Highlights from Audio and Video Sources.

Francesco Della Santa, Morgana Lalli

CoRR, January, 2025

Edge-Wise Graph-Instructed Neural Networks.

Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco Vaccarino

J. Comput. Sci., 2025

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

2024

GradINN: Gradient Informed Neural Network.

Filippo Aglietti, Francesco Della Santa, Andrea Piano, Virginia Aglietti

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

A New Linear Programming Approach and a New Backtracking Strategy for Multiple-Gradient Descent in Multi-Objective Optimization.

Francesco Della Santa

CoRR, 2024

Sparse Implementation of Versatile Graph-Informed Layers.

Francesco Della Santa

CoRR, 2024

Graph-Informed Neural Networks for Sparse Grid-Based Discontinuity Detectors.

Francesco Della Santa, Sandra Pieraccini

CoRR, 2024

2023

Discontinuous neural networks and discontinuity learning.

Francesco Della Santa, Sandra Pieraccini

J. Comput. Appl. Math., 2023

Alternate Training of Shared and Task-Specific Parameters for Multi-Task Neural Networks.

Stefania Bellavia, Francesco Della Santa, Alessandra Papini

CoRR, 2023

2021

Data-Driven Deep Learning Methods for Physically-Based Simulations.

Francesco Della Santa

PhD thesis, 2021

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