Recent Posts

Incubator Summer Academy

Together with Samira Kabri, Lorenz Kuger and Martin Burger we organized a course at the Helmholtz Incubator Summer Academy.

Bregman Learning at NeurIPS 22

Very happy to be in NewOrleans right now at NeurIPS 22 presenting our paper on Bregman learning as a poster.

Recent Publications

L. Bungert, J.Calder, T. Roith. Uniform Convergence Rates for Lipschitz Learning on Graphs. (2022) [Print] [Preprint]
L. Bungert, R. Raab, T. Roith, L. Schwinn, D. Tenbrinck. CLIP: Cheap Lipschitz Training of Neural Networks. (2021) [Print] [Preprint]
L. Bungert, T. Roith, D. Tenbrinck, M. Burger. Neural Architecture Search via Bregman Iterations. (2021) [Preprint]

Recent Presentations

MCQMC - International Conference on Monte Carlo and Quasi-Monte Carlo Methods. Oral Presentation. Kernelized Consensus Based Optimization. (2022)
SIAM - IS22 - Minisymposium Recent Advances on Stable Neural Networks. Oral Presentation. Stable Machine Learning via Lipschitz Methods. (2022) [YouTube]
HCM - Workshop Synergies between Data Science and PDE Analysis. Oral Presentation. Uniform Convergence Rates for Lipschitz Learning. (2022)

Projects

LaTeX Projects

During my time at university, LaTeX was constantly following me around and helping me out. I tried to make everything easier by producing some templates that can be reused by me and others for various projects.

Research

Here’s an overview of some of my research projects and interests.

Teaching

Here is an overview over teaching material that I published online.