Jan Achterhold

21 papers A 1Misc 2Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Attention Normalization Impacts Cardinality Generalization in Slot Attention.
CoRR
Markus Krimmel, Jan Achterhold, Joerg Stueckler
2024 J jnl
Attention Normalization Impacts Cardinality Generalization in Slot Attention.
Trans. Mach. Learn. Res.
Markus Krimmel, Jan Achterhold, Joerg Stueckler
2024 J jnl
Learning a Terrain- and Robot-Aware Dynamics Model for Autonomous Mobile Robot Navigation.
CoRR
Jan Achterhold, Suresh Guttikonda, Jens U. Kreber, Haolong Li, Joerg Stueckler
2023 — conf
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts.
L4DC
Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler
2023 J jnl
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts.
CoRR
Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler
2023 — conf
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model.
ECMR
Suresh Guttikonda, Jan Achterhold, Haolong Li, Joschka Boedecker, Joerg Stueckler
2023 J jnl
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model.
CoRR
Suresh Guttikonda, Jan Achterhold, Haolong Li, Joschka Boedecker, Joerg Stueckler
2022 Misc conf
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning.
CoRL
Jan Achterhold, Markus Krimmel, Joerg Stueckler
2022 J jnl
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning.
CoRR
Jan Achterhold, Markus Krimmel, Joerg Stueckler
2022 J jnl
Physical Representation Learning and Parameter Identification from Video Using Differentiable Physics.
Int. J. Comput. Vis.
Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Joerg Stueckler
2021 A conf
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models.
AISTATS
Jan Achterhold, Joerg Stueckler
2021 J jnl
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models.
CoRR
Jan Achterhold, Joerg Stueckler
2020 — conf
Learning to Identify Physical Parameters from Video Using Differentiable Physics.
GCPR
Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Joerg Stueckler
2020 J jnl
Learning to Identify Physical Parameters from Video Using Differentiable Physics.
CoRR
Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Jörg Stückler
2020 J jnl
Numerical Quadrature for Probabilistic Policy Search.
IEEE Trans. Pattern Anal. Mach. Intell.
Julia Vinogradska, Bastian Bischoff, Jan Achterhold, Torsten Koller, Jan Peters
2020 — conf
Planning from Images with Deep Latent Gaussian Process Dynamics.
L4DC
Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler
2020 J jnl
Planning from Images with Deep Latent Gaussian Process Dynamics.
CoRR
Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler
2020 Misc conf
Sample-efficient Cross-Entropy Method for Real-time Planning.
CoRL
Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Joerg Stueckler, Michal Rolínek, Georg Martius
2020 J jnl
Sample-efficient Cross-Entropy Method for Real-time Planning.
CoRR
Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Jörg Stückler, Michal Rolínek, Georg Martius
2018 — conf
Variational Network Quantization.
ICLR (Poster)
Jan Achterhold, Jan M. Köhler, Anke Schmeink, Tim Genewein
2016 — conf
Robust calibration marker detection in powder bed images from laser beam melting processes.
ICIT
Joschka zur Jacobsmühlen, Jan Achterhold, Stefan Kleszczynski, Gerd Witt, Dorit Merhof