Simon Geisler
Technical University of Munich
Department of Informatics - I26
Boltzmannstr. 3
85748 Garching b. München
Germany
Room: 00.11.055
Phone: +49 (0)89 / 289-17277
Fax: +49 (0)89 / 289-17257
E-Mail: simon.geisler [at] in [dot] tum [dot] de
Research Focus
- Robust Deep Learning
- Uncertainty Estimation in Deep Learning
- Machine Learning for Graphs and Sequences
Selected Publications
- Transformers Meet Directed Graphs
Simon Geisler, Yujia Li, Daniel Mankowitz, Ali Taylan Cemgil, Stephan Günnemann, and Cosmin Paduraru
International Conference on Machine Learning (ICML), 2023 - Are Defenses for Graph Neural Networks Robust?
Simon Geisler*, Felix Mujkanovic*, Stephan Günnemann, and Aleksandar Bojchevski
Neural Information Processing Systems (NeurIPS) 2022 - Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness
Simon Geisler*, Johanna Sommer*, Jan Schuchardt, Aleksandar Bojchevski, and Stephan Günnemann
International Conference on Learning Representations (ICLR), 2022 - Robustness of Graph Neural Networks at Scale
Simon Geisler, Tobias Schmidt, Hakan Şirin, Daniel Zügner, Aleksandar Bojchevski, and Stephan Günnemann
Neural Information Processing Systems (NeurIPS), 2021 - Reliable Graph Neural Networks via Robust Aggregation
Simon Geisler, Daniel Zügner, Stephan Günnemann
Neural Information Processing Systems (NeurIPS), 2020
* equal contribution
Academic & Professional Experience
Jun-Oct 2022: Research Intern, Google DeepMind, London, UK
2015-2020: Data Scientist, Robert Bosch GmbH, Autonomous Driving and Connected Services, Abstatt, Germany
Jun-Aug 2019: Deep Learning Intern, Bosch Center for Artificial Intelligence (BCAI), Sunnyvale, USA
2016-2019: M.Sc. Data Science, Albstadt-Sigmaringen University in cooperation with University of Mannheim, Germany
Academic Honors and Awards
2014-2016: Gifted student scholarship, Konrad-Adenauer-Foundation
2015: Scholarship, Fulbright