Foto del Ricercatore

Francesco Della Santa

Assistant Professor | Dipartimento di Scienze Matematiche G. L. Lagrange | Politecnico di Torino, Turin, Italy

Journal Articles
Conference Proceedings
Other

Journal Articles

  1. Edge-Wise Graph-Instructed Neural Networks

    F. Della Santa, A. Mastropietro, S. Pieraccini, F. Vaccarino

    Journal of Computational Science, 2025

    DOI: 10.1016/j.jocs.2024.102518

    arXiv preprint: 10.48550/arXiv.2409.08023

  2. Automatic Differentiation-Based Multi-Start for Gradient-Based Optimization Methods

    F. Della Santa

    Mathematics, 2024

    DOI: 10.3390/math12081201

  3. Discontinuous neural networks and discontinuity learning

    F. Della Santa, S. Pieraccini

    Journal of Computational and Applied Mathematics, 2023

    DOI: 10.1016/j.cam.2022.114678

  4. Graph-Informed Neural Networks for Regressions on Graph-Structured Data

    S. Berrone, F. Della Santa, A. Mastropietro, S. Pieraccini, F. Vaccarino

    Mathematics, 2022

    DOI: 10.3390/math10050786

  5. Machine learning for flux regression in discrete fracture networks

    S. Berrone, F. Della Santa, S. Pieraccini, F. Vaccarino

    GEM - International Journal on Geomathematics, 2021

    DOI: 10.1007/s13137-021-00176-0

  6. Design optimization of renewable energy systems for NZEBs based on deep residual learning

    M. Ferrara, F. Della Santa, M. Bilardo, A. De Gregorio, A. Mastropietro, U. Fugacci, F. Vaccarino, E. Fabrizio

    Renewable Energy, 2021

    DOI: 10.1016/j.renene.2021.05.044

  7. Layer-wise relevance propagation for backbone identification in discrete fracture networks

    S. Berrone, F. Della Santa, A. Mastropietro, S. Pieraccini, F. Vaccarino

    Journal of Computational Science, 2021

    DOI: 10.1016/j.jocs.2021.101458

  8. Performance Analysis of Multi-Task Deep Learning Models for Flux Regression in Discrete Fracture Networks

    S. Berrone, F. Della Santa

    Geosciences, 2021

    DOI: 10.3390/geosciences11030131

  9. Multi-Objective Optimisation of an Aerostatic Pad: Design of Position, Number and Diameter of the Supply Holes

    F. Colombo, F. Della Santa, S. Pieraccini

    Journal of Mechanics, 2019

    DOI: 10.1017/jmech.2019.41

Conference Proceedings

  1. Predicting flux in Discrete Fracture Networks via Graph Informed Neural Networks

    S. Berrone, F. Della Santa, A. Mastropietro, S. Pieraccini, F. Vaccarino

    Machine Learning and the Physical Sciences, 2021

    Neural Information Processing Systems (NeurIPS) Foundation

    URL: Proceeding, Poster

  2. Application of Deep Learning to Design Renewable Energy Systems for a Zero Energy Multifamily Building

    F. Della Santa, M. Ferrara, M. Bilardo, A. De Gregorio, A. Mastropietro, U. Fugacci, F. Vaccarino, E. Fabrizio

    15th SDEWES Conference Cologne 2020

    CD Proceedings - Dubrovnik Conference on Sustainable Development of Energy, Water and Environment Systems (ISSN 1847-7178)

    URL: -

  3. Discrete Fracture Network insights by eXplainable AI

    S. Berrone, F. Della Santa, A. Mastropietro, S. Pieraccini, F. Vaccarino

    Machine Learning and the Physical Sciences, 2020

    Neural Information Processing Systems (NeurIPS) Foundation

    URL: Proceeding, Poster, Presentation

Preprints

  1. GradINN: Gradient Informed Neural Network

    F. Aglietti, F. Della Santa, A. Piano, V. Aglietti

    arXiv preprint, 2024

    DOI: 10.48550/arXiv.2409.01914

  2. A recipe based on Lebesgue functions for learning Variably Scaled Kernels via Discontinuous Neural Networks (δNN-VSKs)

    G. Audone, F. Della Santa, E. Perracchione, S. Pieraccini

    arXiv preprint, 2024

    DOI: 10.48550/arXiv.2407.10651

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

    F. Della Santa

    arXiv preprint, 2024

    DOI: 10.48550/arXiv.2406.08147

  4. Sparse Implementation of Versatile Graph-Informed Layers

    F. Della Santa

    arXiv preprint, 2024

    DOI: 10.48550/arXiv.2403.13781

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

    F. Della Santa, S. Pieraccini

    arXiv preprint, 2024

    DOI: 10.48550/arXiv.2401.13652

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

    S. Bellavia, F. Della Santa, A. Papini

    arXiv preprint, 2024

    DOI: 10.48550/arXiv.2312.16340