| Variational network quantization J Achterhold, JM Koehler, A Schmeink, T Genewein International Conference on Learning Representations (ICLR) 2018, 2018 | 138 | 2018 |
| 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 | 109 | 2020 |
| 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 | 27 | 2019 |
| 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 | 15 | 2020 |
| 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 | 15 | 2018 |
| 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 | 13 | 2016 |
| 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 | 12 | 2021 |
| Physical representation learning and parameter identification from video using differentiable physics RK Kandukuri, J Achterhold, M Moeller, J Stueckler International Journal of Computer Vision, 1-14, 2022 | 10 | 2022 |
| 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 | 9 | 2022 |
| 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 Buechler, M Muehlebach, J Stueckler Learning for Dynamics and Control Conference, 878-890, 2023 | 8 | 2023 |
| Method, device and computer program for creating a deep neural network J Achterhold, JM Koehler, T Genewein US Patent 11,531,888, 2022 | 4 | 2022 |
| Context-Conditional Navigation with a Learning-Based Terrain-and Robot-Aware Dynamics Model S Guttikonda, J Achterhold, H Li, J Boedecker, J Stueckler arXiv preprint arXiv:2307.09206, 2023 | 3 | 2023 |
| 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 | 2 | 2020 |
Jörg StücklerUniversity of AugsburgVerified email at uni-a.de
