| 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 | 15 | 2018 |
| Bayesian functional optimization NA Vien, H Zimmermann, M Toussaint Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 10 | 2018 |
| 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 | 3 | 2020 |
| Nested Variational Inference H Zimmermann, H Wu, B Esmaeili, S Stites, JW van de Meent Third Symposium on Advances in Approximate Bayesian Inference, 2020 | 1 | 2020 |
| 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 | | 2021 |
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyVerified email at tu-berlin.de
