| Learning to control redundant musculoskeletal systems with neural networks and SQP: exploiting muscle properties D Driess, H Zimmermann, S Wolfen, D Suissa, D Haeufle, D Hennes, ... 2018 IEEE International Conference on robotics and automation (ICRA), 6461-6468, 2018 | 20 | 2018 |
| Optimality principles in human point-to-manifold reaching accounting for muscle dynamics I Wochner, D Driess, H Zimmermann, DFB Haeufle, M Toussaint, ... Frontiers in computational neuroscience 14, 38, 2020 | 14 | 2020 |
| Bayesian functional optimization NA Vien, H Zimmermann, M Toussaint Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 13 | 2018 |
| Nested variational inference H Zimmermann, H Wu, B Esmaeili, JW van de Meent Advances in Neural Information Processing Systems 34, 20423-20435, 2021 | 10 | 2021 |
| Learning Proposals for Probabilistic Programs with Inference Combinators S Stites, H Zimmermann, H Wu, E Sennesh, JW van de Meent arXiv preprint arXiv:2103.00668, 2021 | 7 | 2021 |
| Amortized population gibbs samplers with neural sufficient statistics H Wu, H Zimmermann, E Sennesh, TA Le, JW Van De Meent International Conference on Machine Learning 119, 10421--10431, 2020 | 5 | 2020 |
| Probabilistic program inference in network-based epidemiological simulations N Smedemark-Margulies, R Walters, H Zimmermann, L Laird, ... PLOS Computational Biology 18 (11), e1010591, 2022 | 2 | 2022 |
| A Variational Perspective on Generative Flow Networks H Zimmermann, F Lindsten, JW van de Meent, CA Naesseth arXiv preprint arXiv:2210.07992, 2022 | 1 | 2022 |
| Understanding Optimization Challenges when Encoding to Geometric Structures B Esmaeili, R Walters, H Zimmermann, JW van de Meent NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022 | | 2022 |
Jan-Willem van de MeentUniversity of Amsterdam and Northeastern UniversityVerified email at uva.nl
