Pricing options on flow forwards by neural networks in Hilbert space. - Fred Espen Benth; Nils Detering; Luca Galimberti (CoRR, 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)

Neural networks in Fréchet spaces. - Fred Espen Benth; Nils Detering; Luca Galimberti (Ann. Math. Artif. Intell., 2023)

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)

Neural networks in non-metric spaces. - Luca Galimberti (CoRR, 2024)

Structure-informed operator learning for parabolic Partial Differential Equations. - Fred Espen Benth; Nils Detering; Luca Galimberti (CoRR, 2024)