Dirichlet-to-Neumann and Calderon operator via deep learning techniques.

Abstract: In this talk we consider the Dirichlet-to-Neumann operator and the Calderón mapping appearing in Calderon’s inverse problem. Using deep learning techniques, we prove that these maps are rigorously approximated by infinite-dimensional neural networks.

Date: Jan 17, 2023 at 12:00:00 h
Venue: Sala de seminarios del DIM piso 5, Torre Norte, Beauchef 851
Speaker: Javier Castro
Affiliation: U. Bielefeld, Alemania
Coordinator: Gabrielle Nornberg
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Posted on Jan 12, 2023 in Differential Equations, Seminars