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Leon Bungert
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 an ELLIS member. I am part of the core group of the COST Action InterCoML.
Upcoming events:
Upcoming events:
Coorganizer of the conference: "MIA'25" at IHP in Paris (January 13-15, 2025)
Coorganizer of workshop: "Synergies of Machine Learning and Numerics" in Osaka (March 11-13, 2025)
Invited participant of MFO workshop: "Singularities in Discrete Systems" in Oberwolfach (May 04-09, 2025)
Coorganizer of BIRS workshop: "Mathematical Analysis of Adversarial Machine Learning" in Oaxaca (August 17-22, 2025)
Invited speaker: "NetMathFlows" in Bedlewo (September 7-13, 2025)
Invited speaker: "GIP Annual Meeting" in Saarbrücken (October 8-10, 2025)
Where Würzburg is located:
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
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