Jan Achterhold

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Physical Parameters

Temporally Extended

Top Venues

Publications

Markus Krimmel, Jan Achterhold, Joerg Stueckler
Attention Normalization Impacts Cardinality Generalization in Slot Attention. CoRR (2024)
Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts. L4DC (2023)
Suresh Guttikonda, Jan Achterhold, Haolong Li, Joschka Boedecker, Joerg Stueckler
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model. ECMR (2023)
Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts. CoRR (2023)
Suresh Guttikonda, Jan Achterhold, Haolong Li, Joschka Boedecker, Joerg Stueckler
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model. CoRR (2023)
Jan Achterhold, Markus Krimmel, Joerg Stueckler
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning. CoRR (2022)
Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Joerg Stueckler
Physical Representation Learning and Parameter Identification from Video Using Differentiable Physics. Int. J. Comput. Vis. 130 (1) (2022)
Jan Achterhold, Markus Krimmel, Joerg Stueckler
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning. CoRL (2022)
Jan Achterhold, Joerg Stueckler
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models. AISTATS (2021)
Jan Achterhold, Joerg Stueckler
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models. CoRR (2021)
Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Joerg Stueckler, Michal Rolinek, Georg Martius
Sample-efficient Cross-Entropy Method for Real-time Planning. CoRL (2020)
Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler
Planning from Images with Deep Latent Gaussian Process Dynamics. L4DC (2020)
Julia Vinogradska, Bastian Bischoff, Jan Achterhold, Torsten Koller, Jan Peters
Numerical Quadrature for Probabilistic Policy Search. IEEE Trans. Pattern Anal. Mach. Intell. 42 (1) (2020)
Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Jörg Stückler
Learning to Identify Physical Parameters from Video Using Differentiable Physics. CoRR (2020)
Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Joerg Stueckler
Learning to Identify Physical Parameters from Video Using Differentiable Physics. GCPR (2020)
Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler
Planning from Images with Deep Latent Gaussian Process Dynamics. CoRR (2020)
Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Jörg Stückler, Michal Rolinek, Georg Martius
Sample-efficient Cross-Entropy Method for Real-time Planning. CoRR (2020)
Jan Achterhold, Jan M. Köhler, Anke Schmeink, Tim Genewein
Variational Network Quantization. ICLR (Poster) (2018)
Joschka zur Jacobsmühlen, Jan Achterhold, Stefan Kleszczynski, Gerd Witt, Dorit Merhof
Robust calibration marker detection in powder bed images from laser beam melting processes. ICIT (2016)