Leon Bungert

I am a professor for the mathematics of machine learning at the University of Würzburg,  working in applied analysis and numerics, with a particular focus on data science and machine learning. In my research I investigate PDEs and variational models (on graphs), adversarial robustness of machine learning, variational regularization, and nonlinear optimization.

I'm coorganizing a special issue on adversarial robustness at EJAM. Click here for the call for papers.

I am associate editor for Advances in Continuous and Discrete Models: Theory and Applications.

Upcoming events:

Where Würzburg is located:

Below you can find some impressions of my research. Simply click on an image to get to the papers.

Training sparse neural networks with
Bregman iterations

Regularizing the Lipschitz constant of neural networks

Distance function on a graph

Infinity Laplacian ground state

Undersampled MR reconstruction

Multispectral image fusion