Luca Galimberti

According to our database, Luca Galimberti authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Effects of lower floating-point precision on scale-resolving numerical simulations of turbulence.

Martin Karp, Ronith Stanly, Timofey Mukha, Luca Galimberti, Siavash Toosi, Hang Song, Lisandro Dalcín, Saleh Rezaeiravesh, Niclas Jansson, Stefano Markidis, Matteo Parsani, Sanjeeb Bose, Sanjiva K. Lele, Philipp Schlatter

J. Comput. Phys., 2026

2025

Learning from one graph: transductive learning guarantees via the geometry of small random worlds.

Nils Detering, Luca Galimberti, Anastasis Kratsios, Giulia Livieri, A. Martina Neuman

CoRR, September, 2025

2024

Structure-informed operator learning for parabolic Partial Differential Equations.

Fred Espen Benth, Nils Detering, Luca Galimberti

CoRR, 2024

Neural networks in non-metric spaces.

Luca Galimberti

CoRR, 2024

Low-dimensional approximations of the conditional law of Volterra processes: a non-positive curvature approach.

Reza Arabpour, John Armstrong, Luca Galimberti, Anastasis Kratsios, Giulia Livieri

CoRR, 2024

2023

Neural networks in Fréchet spaces.

Fred Espen Benth, Nils Detering, Luca Galimberti

Ann. Math. Artif. Intell., 2023

2022

Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis.

Luca Galimberti, Giulia Livieri, Anastasis Kratsios

CoRR, 2022

Pricing options on flow forwards by neural networks in Hilbert space.

Fred Espen Benth, Nils Detering, Luca Galimberti

CoRR, 2022