Seminar in Numerical Analysis: Ivan Dokmanić (Universität Basel)

Waves, learning, and inverse problems

This talk will be an overview of my group's research between deep learning and inverse problems. I will first describe the current (?) state of the field and then present a medley of our results, including 1) a neural network architecture for wave-based inverse problems derived from Fourier integral operators; 2) an approach to nonlinear traveltime tomography based on neural priors; and 3) provably injective neural networks that are universal approximators of probability measures supported on low-dimensional manifolds. My secret hope is to spark discussions that could evolve to collaborations.

For further information about the seminar, please visit this webpage.

Veranstaltung übernehmen als iCal