6 citations · 10 across the 4 of their papers we have counts for
4 papers
A data-driven approach to solving a 1D inverse scattering problem
Tristan van Leeuwen, Andreas Tataris
In this paper, we extend the ROM-based approach for inverse scattering with Neumann boundary conditions, introduced by Druskin at. al. (Inverse Problems 37, 2021), to the 1D Schr{ö…
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi +3
We present a novel approach to transcranial ultrasound computed tomography that utilizes normalizing flows to improve the speed of imaging and provide Bayesian uncertainty quantifi…
WaRIance: wavefield reconstruction inversion with stochastic variable projection
Gabrio Rizzuti, Tristan van Leeuwen
We propose a variation on wavefield reconstruction inversion for seismic inversion, which takes advantage of randomized linear algebra as a way to overcome the typical limitations…
Total-variation regularization strategies in full-waveform inversion
Ernie Esser, Lluis Guasch, Tristan van Leeuwen +2
We propose an extended full-waveform inversion formulation that includes general convex constraints on the model. Though the full problem is highly nonconvex, the overarching optim…