Jan Achterhold
Jan Achterhold
PhD student, Max Planck Institute for Intelligent Systems, Tübingen
Verified email at tuebingen.mpg.de - Homepage
Title
Cited by
Cited by
Year
Variational network quantization
J Achterhold, JM Koehler, A Schmeink, T Genewein
International Conference on Learning Representations (ICLR), 2018
582018
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
112018
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 (2), 155-165, 2019
82019
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
82016
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
52020
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
42020
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models
J Achterhold, J Stueckler
arXiv preprint arXiv:2102.11394, 2021
2021
Method, device and computer program for creating a deep neural network
J Achterhold, JM Koehler, T Genewein
US Patent App. 16/757,186, 2020
2020
Planning from Images with Deep Latent Gaussian Process Dynamics
N Bosch, J Achterhold, L Leal-Taixé, J Stückler
2nd Conference on Learning for Dynamics and Control (L4DC), 2020
2020
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Articles 1–9