Kislaya Ravi;Atul Agrawal;Hans-Joachim Bungartz;Phaedon-Stelios Koutsourelakis
Multi-fidelity Constrained Optimization for Stochastic Black-Box Simulators
Machine Learning and the Physical Sciences Workshop at the 37th conference on Neural Information Processing Systems (NeurIPS) December 15, 2023
2023

Thiago Lima Carneiro
Efficient Uncertainty Quantification for Power Networks
Masterarbeit
2024

Vaishali Ravishankar
Exploratory Analysis of Turbulent Flow Data using GNN-based Surrogate Model
Masterarbeit
2024

Graeb, Helmut
CV Helmut Graeb
2024

Graeb, Helmut
Circuit Simulation
2024

Graeb, Helmut
Layout Synthesis Methods for Integrated Circuits
2017

Mittel, Dominik;Perzylo, Alexander;Kessler, Ingmar;Ding, Junsheng
Towards Ontology-based Handling of Uncertainties in Robotic Assembly
IEEE International Conference on Robotics and Automation (ICRA), Workshop on Ontologies and Standards for Robotics and Automation (WOSRA)
2024

Liu, Mingyu;Yurtsever, Ekim;Brede, Marc;Meng, Jun;Zimmer, Walter;Zhou, Xingcheng;Zagar, Bare Luka;Cui, Yuning;Knoll, C. Alois
GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphs
2024 IEEE International Intelligent Transportation Systems Conference (ITSC)
2024

Xinyu Chen; Jonathan Külz; Matthias Althoff
Generating Robot Capability Maps with Neural Fields
RSS Workshop on Embodiment-Aware Robot Learning
2024

Liu, Mingyu;Yurtsever, Ekim;Brede, Marc;Meng, Jun;Zimmer, Walter;Zhou, Xingcheng;Zagar, Bare Luka;Cui, Yuning;Knoll, C. Alois
GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphs
2024 IEEE International Intelligent Transportation Systems Conference (ITSC)
2024