Stephan Günnemann
Technische Universität München
H-index: 51
Europe-Germany
Top articles of Stephan Günnemann
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
On Representing Electronic Wave Functions with Sign Equivariant Neural Networks | arXiv preprint arXiv:2403.05249 | Nicholas Gao Stephan Günnemann | 2024/3/8 |
Add and thin: Diffusion for temporal point processes | Advances in Neural Information Processing Systems | David Lüdke Marin Biloš Oleksandr Shchur Marten Lienen Stephan Günnemann | 2024/2/13 |
Group Privacy Amplification and Unified Amplification by Subsampling for R\'enyi Differential Privacy | arXiv preprint arXiv:2403.04867 | Jan Schuchardt Mihail Stoian Arthur Kosmala Stephan Günnemann | 2024/3/7 |
Hierarchical randomized smoothing | Advances in Neural Information Processing Systems | Yan Scholten Jan Schuchardt Aleksandar Bojchevski Stephan Günnemann | 2024/2/13 |
Structurally Prune Anything: Any Architecture, Any Framework, Any Time | arXiv preprint arXiv:2403.18955 | Xun Wang John Rachwan Stephan Günnemann Bertrand Charpentier | 2024/3/3 |
Adversarial training for graph neural networks: Pitfalls, solutions, and new directions | Lukas Gosch Simon Geisler Daniel Sturm Bertrand Charpentier Daniel Zügner | 2023/11/2 | |
Edge directionality improves learning on heterophilic graphs | Emanuele Rossi Bertrand Charpentier Francesco Di Giovanni Fabrizio Frasca Stephan Günnemann | 2024/4/17 | |
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood | arXiv preprint arXiv:2402.15978 | Rayen Dhahri Alexander Immer Betrand Charpentier Stephan Günnemann Vincent Fortuin | 2024/2/25 |
Finding Dino: A plug-and-play framework for unsupervised detection of out-of-distribution objects using prototypes | arXiv preprint arXiv:2404.07664 | Poulami Sinhamahapatra Franziska Schwaiger Shirsha Bose Huiyu Wang Karsten Roscher | 2024/4/11 |
Attacking Large Language Models with Projected Gradient Descent | arXiv preprint arXiv:2402.09154 | Simon Geisler Tom Wollschläger MHI Abdalla Johannes Gasteiger Stephan Günnemann | 2024/2/14 |
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes | arXiv preprint arXiv:2404.02830 | Poulami Sinhamahapatra Suprosanna Shit Anjany Sekuboyina Malek Husseini David Schinz | 2024/4/3 |
(Provable) Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More | Advances in Neural Information Processing Systems | Jan Schuchardt Yan Scholten Stephan Günnemann | 2024/2/13 |
Revisiting robustness in graph machine learning | Lukas Gosch Daniel Sturm Simon Geisler Stephan Günnemann | 2023 | |
Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework | Franziska Schwaiger Andrea Matic Karsten Roscher Stephan Günnemann | 2023/6/4 | |
Ewald-based long-range message passing for molecular graphs | Arthur Kosmala Johannes Gasteiger Nicholas Gao Stephan Günnemann | 2023/3/8 | |
Safe and Efficient Operation with Constrained Hierarchical Reinforcement Learning | Felippe Schmoeller Roza Karsten Roscher Stephan Günnemann | 2023/7/20 | |
Transition path sampling with boltzmann generator-based mcmc moves | arXiv preprint arXiv:2312.05340 | Michael Plainer Hannes Stärk Charlotte Bunne Stephan Günnemann | 2023/12/8 |
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation | Marten Lienen David Lüdke Jan Hansen-Palmus Stephan Günnemann | 2023/10/13 | |
Towards efficient MCMC sampling in Bayesian neural networks by exploiting symmetry | Jonas Gregor Wiese Lisa Wimmer Theodore Papamarkou Bernd Bischl Stephan Günnemann | 2023/9/17 | |
Generalized density attractor clustering for incomplete data | Data Mining and Knowledge Discovery | Richard Leibrandt Stephan Günnemann | 2023/3 |
Co-Authors
