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ORCIDFrancesco Della Santa
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2020 – today
- 2024
[i7]Francesco Della Santa, Sandra Pieraccini:
Graph-Informed Neural Networks for Sparse Grid-Based Discontinuity Detectors. CoRR abs/2401.13652 (2024)- [i6]Francesco Della Santa:
Sparse Implementation of Versatile Graph-Informed Layers. CoRR abs/2403.13781 (2024) - [i5]Francesco Della Santa:
A New Linear Programming Approach and a New Backtracking Strategy for Multiple-Gradient Descent in Multi-Objective Optimization. CoRR abs/2406.08147 (2024) - [i4]Gianluca Audone, Francesco Della Santa, Emma Perracchione, Sandra Pieraccini:
A recipe based on Lebesgue functions for learning Variably Scaled Kernels via Discontinuous Neural Networks (ΔNN-VSKs). CoRR abs/2407.10651 (2024) - [i3]Filippo Aglietti, Francesco Della Santa, Andrea Piano, Virginia Aglietti:
GradINN: Gradient Informed Neural Network. CoRR abs/2409.01914 (2024) - [i2]Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco Vaccarino:
Edge-Wise Graph-Instructed Neural Networks. CoRR abs/2409.08023 (2024) - 2023
- [j2]Francesco Della Santa
, Sandra Pieraccini:
Discontinuous neural networks and discontinuity learning. J. Comput. Appl. Math. 419: 114678 (2023) - [i1]Stefania Bellavia, Francesco Della Santa, Alessandra Papini:
Alternate Training of Shared and Task-Specific Parameters for Multi-Task Neural Networks. CoRR abs/2312.16340 (2023) - 2021
- [b1]Francesco Della Santa:
Data-Driven Deep Learning Methods for Physically-Based Simulations. Polytechnic University of Turin, Italy, 2021 - [j1]Stefano Berrone, Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco Vaccarino:
Layer-wise relevance propagation for backbone identification in discrete fracture networks. J. Comput. Sci. 55: 101458 (2021)
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