Davide Murari

Orcid: 0000-0002-1095-6685

According to our database1, Davide Murari authored at least 15 papers between 2021 and 2025.

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

Timeline

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Links

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Bibliography

2025
Approximation theory for 1-Lipschitz ResNets.
CoRR, May, 2025

Enhancing Fourier Neural Operators with Local Spatial Features.
CoRR, March, 2025

Approximation properties of neural ODEs.
CoRR, March, 2025

Predictions based on pixel data: Insights from PDEs and finite differences.
J. Comput. Phys., 2025

2024
Symplectic Neural Flows for Modeling and Discovery.
CoRR, 2024

Hamiltonian Matching for Symplectic Neural Integrators.
CoRR, 2024

Parallel-in-Time Solutions with Random Projection Neural Networks.
CoRR, 2024

Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Dynamical Systems-Based Neural Networks.
SIAM J. Sci. Comput., June, 2023

Learning Hamiltonians of constrained mechanical systems.
J. Comput. Appl. Math., 2023

Neural networks for the approximation of Euler's elastica.
CoRR, 2023

Contractive Systems Improve Graph Neural Networks Against Adversarial Attacks.
CoRR, 2023

Designing Stable Neural Networks using Convex Analysis and ODEs.
CoRR, 2023

2022
Lie group integrators for mechanical systems.
Int. J. Comput. Math., 2022

2021
Dynamics of the N-fold Pendulum in the framework of Lie Group Integrators.
CoRR, 2021


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