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ORCIDJan Achterhold
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2020 – today
- 2024
[i9]Markus Krimmel, Jan Achterhold, Joerg Stueckler:
Attention Normalization Impacts Cardinality Generalization in Slot Attention. CoRR abs/2407.04170 (2024)- [i8]Jan Achterhold, Suresh Guttikonda, Jens U. Kreber, Haolong Li, Joerg Stueckler:
Learning a Terrain- and Robot-Aware Dynamics Model for Autonomous Mobile Robot Navigation. CoRR abs/2409.11452 (2024) - 2023
- [c9]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: 1-7 - [c8]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: 878-890 - [i7]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 abs/2305.15189 (2023) - [i6]Suresh Guttikonda, Jan Achterhold, Haolong Li, Joschka Boedecker, Joerg Stueckler:
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model. CoRR abs/2307.09206 (2023) - 2022
- [j2]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): 3-16 (2022) - [c7]Jan Achterhold, Markus Krimmel, Joerg Stueckler:
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning. CoRL 2022: 225-236 - [i5]Jan Achterhold, Markus Krimmel, Joerg Stueckler:
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning. CoRR abs/2207.05018 (2022) - 2021
- [c6]Jan Achterhold, Joerg Stueckler:
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models. AISTATS 2021: 3529-3537 - [i4]Jan Achterhold, Joerg Stueckler:
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models. CoRR abs/2102.11394 (2021) - 2020
- [j1]Julia Vinogradska, Bastian Bischoff, Jan Achterhold, Torsten Koller, Jan Peters:
Numerical Quadrature for Probabilistic Policy Search. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 164-175 (2020) - [c5]Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Joerg Stueckler, Michal Rolínek, Georg Martius:
Sample-efficient Cross-Entropy Method for Real-time Planning. CoRL 2020: 1049-1065 - [c4]Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Joerg Stueckler:
Learning to Identify Physical Parameters from Video Using Differentiable Physics. GCPR 2020: 44-57 - [c3]Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler:
Planning from Images with Deep Latent Gaussian Process Dynamics. L4DC 2020: 640-650 - [i3]Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler:
Planning from Images with Deep Latent Gaussian Process Dynamics. CoRR abs/2005.03770 (2020) - [i2]Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Jörg Stückler, Michal Rolínek, Georg Martius:
Sample-efficient Cross-Entropy Method for Real-time Planning. CoRR abs/2008.06389 (2020) - [i1]Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Jörg Stückler:
Learning to Identify Physical Parameters from Video Using Differentiable Physics. CoRR abs/2009.08292 (2020)
2010 – 2019
- 2018
- [c2]Jan Achterhold, Jan M. Köhler, Anke Schmeink, Tim Genewein:
Variational Network Quantization. ICLR (Poster) 2018 - 2016
- [c1]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: 910-915
Coauthor Index
aka: Joerg Stueckler
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last updated on 2024-10-15 20:47 CEST by the dblp team
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