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Jan Achterhold
Jan Achterhold
Bosch Corporate Research
Verified email at de.bosch.com
Title
Cited by
Cited by
Year
Variational network quantization
J Achterhold, JM Koehler, A Schmeink, T Genewein
International Conference on Learning Representations (ICLR) 2018, 2018
1452018
Sample-efficient Cross-Entropy Method for Real-time Planning
C Pinneri, S Sawant, S Blaes, J Achterhold, J Stueckler, M Rolinek, ...
Conference on Robot Learning (CoRL) 2020, 2020
1162020
In situ measurement of part geometries in layer images from laser beam melting processes
J zur Jacobsmühlen, J Achterhold, S Kleszczynski, G Witt, D Merhof
Progress in Additive Manufacturing 4, 155-165, 2019
272019
Learning to Identify Physical Parameters from Video Using Differentiable Physics
RK Kandukuri, J Achterhold, M Möller, J Stückler
42th German Conference on Pattern Recognition (GCPR), 2020
162020
Numerical quadrature for probabilistic policy search
J Vinogradska, B Bischoff, J Achterhold, T Koller, J Peters
IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (1), 164-175, 2018
152018
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models
J Achterhold, J Stueckler
Conference on Artificial Intelligence and Statistics (AISTATS) 2021, 3529-3537, 2021
132021
Robust calibration marker detection in powder bed images from laser beam melting processes
J zur Jacobsmühlen, J Achterhold, S Kleszczynski, G Witt, D Merhof
2016 IEEE International Conference on Industrial Technology (ICIT), 910-915, 2016
132016
Physical representation learning and parameter identification from video using differentiable physics
RK Kandukuri, J Achterhold, M Moeller, J Stueckler
International Journal of Computer Vision 130 (1), 3-16, 2022
112022
Black-box vs. gray-box: A case study on learning table tennis ball trajectory prediction with spin and impacts
J Achterhold, P Tobuschat, H Ma, D Büchler, M Muehlebach, J Stueckler
Learning for Dynamics and Control Conference, 878-890, 2023
102023
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning
J Achterhold, M Krimmel, J Stueckler
Conference on Robot Learning (CoRL) 2023, 2022
102022
Method, device and computer program for creating a deep neural network
J Achterhold, JM Koehler, T Genewein
US Patent 11,531,888, 2022
52022
Context-Conditional Navigation with a Learning-Based Terrain-and Robot-Aware Dynamics Model
S Guttikonda, J Achterhold, H Li, J Boedecker, J Stueckler
2023 European Conference on Mobile Robots (ECMR), 1-7, 2023
32023
Planning from Images with Deep Latent Gaussian Process Dynamics
N Bosch, J Achterhold, L Leal-Taixé, J Stückler
Conference on Learning for Dynamics and Control (L4DC) 2020, 2020
22020
Methods for learning adaptive and symbolic forward models for control and planning
JM Achterhold
Universität Tübingen, 2024
2024
Attention Normalization Impacts Cardinality Generalization in Slot Attention
M Krimmel, J Achterhold, J Stueckler
arXiv preprint arXiv:2407.04170, 2024
2024
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