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Combining Slow and Fast: Complementary Filtering for Dynamics Learning2023 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Reinforcement Learning in Robotics Open access
Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Sebastian Trimpe
2citations -
Exact Inference for Continuous-Time Gaussian Process Dynamics2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access
Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe
2citations -
Data publishing in mechanics and dynamics: challenges, guidelines, and examples from engineering design2025 Data-Centric Engineering article Computer Science Research Data Management Practices Open access
Henrik Ebel, Jan van Delden, Timo Lüddecke, Aditya Borse, Rutwik Gulakala, Marcus Stoffel, +11 more
2citations -
Data Publishing in Mechanics and Dynamics: Challenges, Guidelines, and Examples from Engineering Design2024 arXiv (Cornell University) preprint Computer Science Research Data Management Practices Open access
Henrik Ebel, Jan van Delden, Timo Lüddecke, Aditya Borse, Rutwik Gulakala, Marcus Stoffel, +9 more
0citations -
Gradient Information and Regularization for Gene Expression Programming to Develop Data-Driven Physics Closure Models2024 Flow Turbulence and Combustion article Computer Science Evolutionary Algorithms and Applications Open access
Fabian Waschkowski, Haochen Li, Abhishek J. Deshmukh, Temistocle Grenga, Yaomin Zhao, Heinz G. Pitsch, +2 more
3citations -
Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations2024 Future Generation Computer Systems article Computer Science Advanced Image Processing Techniques Open access
Xin Liu, Mario Rüttgers, Alessio Quercia, Romain Égelé, Elisabeth A. G. Pfaehler, Rushikesh Shende, +4 more
8citations -
Development of a Framework for Continual Learning in Industrial Robotics2022 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) conference-paper Computer Science Domain Adaptation and Few-Shot Learning
Minh Trinh, Lukas Grundel, Victoria Hankemeier, Simon Storms, Christian Brecher
1citations -
OoDIS: Anomaly Instance Segmentation and Detection Benchmark2025 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Advanced Neural Network Applications
Rui Zhou, Miriam Ackermann, Alexander Hermans, Bastian Leibe, Matthias Rottmann
3citations -
Offline Trajectory Optimization for Offline Reinforcement Learning2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) conference-paper Computer Science Reinforcement Learning in Robotics Open access
Ziqi Zhao, Zhaochun Ren, Liu Yang, Fajie Yuan, Pengjie Ren, Zhumin Chen, +1 more
0citations