leon-bungert

LipschitzLearningRates

Code for testing convergence rates of Lipschitz learning on graphs

blind_remote_sensing

Eigenvectors-of-Proximal-Operators-and-Neural-Networks

Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks

Infinity-Laplacian-Eigenfunctions

This code can be used to compute eigenfunctions of the infinity Laplace operator on general domains.

robust_guided_reconstruction

Robust Image Reconstruction with Misaligned Structural Information

robust_guided_reconstruction

This code allows to reproduce the results of the paper "Robust Image Reconstruction with Misaligned Structural Information" which aims to reconstruct an image from an indirect measurement whilst registering it with a structural side information from a different modality.

BregmanLearning

Optimizing neural networks via an inverse scale space flow.

CLIP

PyTorch Implementation of the CLIP Algorithm

PercolationConvergenceRates

polarcbo

Polarized consensus-based particle dynamics

leon-bungert/Eigenvectors-of-Proximal-Operators-and-Neural-Networks

Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks

leon-bungert/Infinity-Laplacian-Eigenfunctions

This code can be used to compute eigenfunctions of the infinity Laplace operator on general domains.

leon-bungert/robust_guided_reconstruction

Robust Image Reconstruction with Misaligned Structural Information

leon-bungert/blind_remote_sensing