Leon Bungert
I am Professor of 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 am guest editor for the European Journal of Applied Mathematics and associate editor for Advances in Continuous and Discrete Models: Theory and Applications.
I am member of the program committee at SSVM 2025 and of the organizing committee of MIA'25.
Upcoming events:
Inaugural lecture at the University of Würzburg (January 16, 2024)
Imaging inverse problems and generating models: sparsity and robustness versus expressivity in Edinburgh (April 8-10, 2024)
Minisymposium: "Functional inequalities and nonlinear PDEs" @ Equadiff in Karlstad (June 10-14, 2024)
Lecturer at Summer School: "PDEs, Control and Deep Learning" in Cetraro (July 22-26, 2024)
Workshop: "Calculus of Variations: a New Generation" at HCM Bonn (September 16-20, 2024)
Workshop: "Optimal Transport and Applications" at Centro di Ricerca Matematica Ennio De Giorgi, Pisa (December 02-06, 2024)
Organizer of workshop: "Synergies of Machine Learning and Numerics" in Osaka (March 13-15, 2025)
Organizer of BIRS workshop: "Mathematical Analysis of Adversarial Machine Learning" in Oaxaca (August 17-22, 2025)
Where Würzburg is located:
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
