Fast evaluation of the current driven by electron cyclotron waves for reactor studies
E Poli, M Müller, H Zohm, M Kovari (2018) “Fast evaluation of the current driven by electron cyclotron waves for reactor studies” Physics of Plasmas, vol. 25
CV
Education
- B.S. in GitHub, GitHub University, 2012
- M.S. in Jekyll, GitHub University, 2014
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
Work experience
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Physics-based Deep Learning
Nils Thuerey, Philipp Holl, Maximilian Mueller, Patrick Schnell, Felix Trost, Kiwon Um (2021) “Physics-based Deep Learning” online Book
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations
Maximilian Mueller, Robin Greif, Frank Jenko, Nils Thuerey (2022) "Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations” NeurIPS 2022 workshop: Machine Learning and the Physical Sciences
A modern look at the relationship between sharpness and generaliization
Andriushchenko M., Croce F., Müller M., Hein M., and Flammarion N. (2023) “A modern look at the relationship between sharpness and generaliization” ICML 2023
In or Out? Fixing ImageNet Out-of-distribution detection
J. Bitterwolf*, M. Müller* and Matthias Hein (*equal contribution) (2023) “In or out? Fixing ImageNet Out-of-distribution detection” ICML 2023
Normalization Layers Are All That Sharpness-Aware Minimization Needs
Maximilian Müller, Tiffany Vlaar, David Rolnick, and Matthias Hein (2023) “Normalization Layers Are All That Sharpness-Aware Minimization Needs”, NeurIPS 2023
How to rain your ViT for OOD Detection
Maximilian Müller and Matthias Hein (2024) “How to rain your ViT for OOD Detection”, ICLR 2024 R2FM Workshop
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion
Maximilian Müller and Matthias Hein (2024) “LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion”, MICCAI 2024 ADSMI Workshop
Talks
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams