Learning to solve inverse problems using Wasserstein loss

30 October 2017

Papers citing "Learning to solve inverse problems using Wasserstein loss"

7 / 7 papers shown

Title
Efficient Prior Calibration From Indirect Data O. Deniz Akyildiz Mark Girolami Andrew M. Stuart Arnaud Vadeboncoeur 47 1 0 28 May 2024
Learning Variational Models with Unrolling and Bilevel Optimization Christoph Brauer Niklas Breustedt T. Wolff D. Lorenz SSL 36 3 0 26 Sep 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 43 0 01 Feb 2022
Learning the geometry of wave-based imaging K. Kothari Maarten V. de Hoop Ivan Dokmanić AI4CE 34 8 0 10 Jun 2020
Learning step sizes for unfolded sparse coding Pierre Ablin Thomas Moreau Mathurin Massias Alexandre Gramfort MQ 30 51 0 27 May 2019
Empirical Regularized Optimal Transport: Statistical Theory and Applications M. Klatt Carla Tameling Axel Munk OT 44 59 0 23 Oct 2018
Interpolation and Extrapolation of Toeplitz Matrices via Optimal Mass Transport Filip Elvander A. Jakobsson Johan Karlsson 24 22 0 10 Nov 2017