Jan Achterhold

According to our database, Jan Achterhold authored at least 13 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning a Terrain- and Robot-Aware Dynamics Model for Autonomous Mobile Robot Navigation.

Jan Achterhold, Suresh Guttikonda, Jens U. Kreber, Haolong Li, Joerg Stueckler

CoRR, 2024

Attention Normalization Impacts Cardinality Generalization in Slot Attention.

Markus Krimmel, Jan Achterhold, Joerg Stueckler

CoRR, 2024

2023

Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts.

Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler

Proceedings of the Learning for Dynamics and Control Conference, 2023

Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model.

Suresh Guttikonda, Jan Achterhold, Haolong Li, Joschka Boedecker, Joerg Stueckler

Proceedings of the European Conference on Mobile Robots, 2023

2022

Physical Representation Learning and Parameter Identification from Video Using Differentiable Physics.

Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Joerg Stueckler

Int. J. Comput. Vis., 2022

Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning.

Jan Achterhold, Markus Krimmel, Joerg Stueckler

Proceedings of the Conference on Robot Learning, 2022

2021

Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models.

Jan Achterhold, Joerg Stueckler

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Numerical Quadrature for Probabilistic Policy Search.

Julia Vinogradska, Bastian Bischoff, Jan Achterhold, Torsten Koller, Jan Peters

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Planning from Images with Deep Latent Gaussian Process Dynamics.

Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Learning to Identify Physical Parameters from Video Using Differentiable Physics.

Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Joerg Stueckler

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Sample-efficient Cross-Entropy Method for Real-time Planning.

Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Joerg Stueckler, Michal Rolínek, Georg Martius

Proceedings of the 4th Conference on Robot Learning, 2020

2018

Variational Network Quantization.

Jan Achterhold, Jan M. Köhler, Anke Schmeink, Tim Genewein

Proceedings of the 6th International Conference on Learning Representations, 2018

2016

Robust calibration marker detection in powder bed images from laser beam melting processes.

Joschka zur Jacobsmühlen, Jan Achterhold, Stefan Kleszczynski, Gerd Witt, Dorit Merhof

Proceedings of the IEEE International Conference on Industrial Technology, 2016