Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography

2 June 2020

Papers citing "Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography"

5 / 5 papers shown

Title
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis Luca Galimberti Anastasis Kratsios Giulia Livieri OOD 28 14 0 24 Oct 2022
Convergence Rates for Learning Linear Operators from Noisy Data Maarten V. de Hoop Nikola B. Kovachki Nicholas H. Nelsen Andrew M. Stuart 19 54 0 27 Aug 2021
How many moments does MMD compare? Rustem Takhanov 18 0 0 27 Jun 2021
Learning the optimal Tikhonov regularizer for inverse problems Giovanni S. Alberti E. De Vito Matti Lassas Luca Ratti Matteo Santacesaria 25 30 0 11 Jun 2021
TorchRadon: Fast Differentiable Routines for Computed Tomography Matteo Ronchetti OOD MedIm 23 63 0 29 Sep 2020