Davide Murari

Publications

Predictions based on pixel data: Insights from PDEs and finite differences

E Celledoni, J Jackaman, D Murari, B Owren

– Journal of Computational Physics

(2025)

538,

114166

(doi: 10.1016/j.jcp.2025.114166)

Approximation theory for 1-Lipschitz ResNets

D Murari, T Furuya, C-B Schönlieb

(2025)

(link to publication)

From Euler-Jacobi to Bogoyavlensky and back

D Murari, N Sansonetto

(2025)

(link to publication)

Enhancing Fourier Neural Operators with Local Spatial Features

C Liu, D Murari, L Liu, Y Li, C Budd, C-B Schönlieb

(2025)

(link to publication)

Approximation properties of neural ODEs

AD Marinis, D Murari, E Celledoni, N Guglielmi, B Owren, F Tudisco

(2025)

(link to publication)

Symplectic Neural Flows for Modeling and Discovery

P Canizares, D Murari, C-B Schönlieb, F Sherry, Z Shumaylov

(2024)

(link to publication)

Neural networks for the approximation of Euler’s elastica

E Celledoni, E Çokaj, A Leone, S Leyendecker, D Murari, B Owren, RTSM de Almagro, M Stavole

– Computer Methods in Applied Mechanics and Engineering

(2024)

435,

117584

(doi: 10.1016/j.cma.2024.117584)

Hamiltonian Matching for Symplectic Neural Integrators

P Canizares, D Murari, C-B Schönlieb, F Sherry, Z Shumaylov

(2024)

(link to publication)

Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach

M Eliasof, D Murari, F Sherry, CB Schönlieb

– Frontiers in Artificial Intelligence and Applications

(2024)

392,

1607

(doi: 10.3233/FAIA240667)

Parallel-in-Time Solutions with Random Projection Neural Networks

MM Betcke, LM Kreusser, D Murari

(2024)

(link to publication)

Department of Applied Mathematics and Theoretical Physics

Publications

Research Group

Email

Room

Personal homepage

Study at Cambridge

About the University

Research at Cambridge