Learned Discrepancy Reconstruction and Benchmark Dataset for Magnetic Particle Imaging.

Fourier-Domain Inversion for the Modulo Radon Transform.

Bayesian view on the training of invertible residual networks for solving linear inverse problems.

Invertible residual networks in the context of regularization theory for linear inverse problems.