Michael Resch

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 11

Top Topics

Autonomous Driving

Sensitivity Analysis

Grand Challenge

Top Venues

Publications

Marius Kurz, Philipp Offenhäuser, Dominic Viola, Michael Resch, Andrea Beck
Relexi - A scalable open source reinforcement learning framework for high-performance computing. Softw. Impacts 14 (2022)
Max Paul Bauer, Anthony Ngo, Michael Resch
The YASE Framework: Holistic Scenario Modeling with Behavior Trees. VTC Fall (2021)
Anthony Ngo, Max Paul Bauer, Michael Resch
A Multi-Layered Approach for Measuring the Simulation-to-Reality Gap of Radar Perception for Autonomous Driving. ITSC (2021)
Anthony Ngo, Max Paul Bauer, Michael Resch
A Multi-Layered Approach for Measuring the Simulation-to-Reality Gap of Radar Perception for Autonomous Driving. CoRR (2021)
Marco Seiz, Philipp Offenhäuser, Stefan Andersson, Johannes Hötzer, Henrik Hierl, Britta Nestler, Michael Resch
Lustre I/O performance investigations on Hazel Hen: experiments and heuristics. J. Supercomput. 77 (11) (2021)
Norbert Conrad, Michael Resch
Nachhaltigkeit und Abwärmenutzung an HPC-Zentren. GI-Jahrestagung (2021)
Max Paul Bauer, Anthony Ngo, Michael Resch
Usage of Operating System Kernel Paradigms to Build Modern Simulation Platforms for Autonomous Driving. ACIRS (2020)
Anthony Ngo, Max Paul Bauer, Michael Resch
A Sensitivity Analysis Approach for Evaluating a Radar Simulation for Virtual Testing of Autonomous Driving Functions. CoRR (2020)
Anthony Ngo, Max Paul Bauer, Michael Resch
A Sensitivity Analysis Approach for Evaluating a Radar Simulation for Virtual Testing of Autonomous Driving Functions. ACIRS (2020)
Nikola Tchipev, Steffen Seckler, Matthias Heinen, Jadran Vrabec, Fabio Alexander Gratl, Martin Horsch, Martin Bernreuther, Colin W. Glass, Christoph Niethammer, Nicolay Hammer, Bernd Krischok, Michael Resch, Dieter Kranzlmüller, Hans Hasse, Hans-Joachim Bungartz, Philipp Neumann
TweTriS: Twenty trillion-atom simulation. Int. J. High Perform. Comput. Appl. 33 (5) (2019)
Michael Resch, Andreas Kaminski
The Epistemic Importance of Technology in Computer Simulation and Machine Learning. Minds Mach. 29 (1) (2019)