Francesco Della Santa

Orcid: 0000-0002-2202-9600

According to our database1, Francesco Della Santa authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Edge-Wise Graph-Instructed Neural Networks.
CoRR, 2024

GradINN: Gradient Informed Neural Network.
CoRR, 2024

A recipe based on Lebesgue functions for learning Variably Scaled Kernels via Discontinuous Neural Networks (ΔNN-VSKs).
CoRR, 2024

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

Sparse Implementation of Versatile Graph-Informed Layers.
CoRR, 2024

Graph-Informed Neural Networks for Sparse Grid-Based Discontinuity Detectors.
CoRR, 2024

2023
Discontinuous neural networks and discontinuity learning.
J. Comput. Appl. Math., 2023

Alternate Training of Shared and Task-Specific Parameters for Multi-Task Neural Networks.
CoRR, 2023

2021
Data-Driven Deep Learning Methods for Physically-Based Simulations.
PhD thesis, 2021

Layer-wise relevance propagation for backbone identification in discrete fracture networks.
J. Comput. Sci., 2021


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