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:
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)
Lecturerer 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)