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Heiko Zimmermann
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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
152018
Bayesian functional optimization
NA Vien, H Zimmermann, M Toussaint
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
112018
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
92020
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
42021
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
42020
Nested Variational Inference
H Zimmermann, H Wu, B Esmaeili, JW van de Meent
Advances in Neural Information Processing Systems 34, 2021
32021
Bayesian Functional Optimization Download PDF
NA Vien, H Zimmermann, M Toussaint
Supplementary Material: Learning Proposals for Probabilistic Programs with Inference Combinators
S Stites, H Zimmermann, H Wu, E Sennesh, JW van de Meent
Supplementary Material: Optimality principles in human point-to-manifold reaching accounting for muscle dynamics
I Wochner, D Driess, H Zimmermann, DFB Haeufle, M Toussaint, ...
Probabilistic Program Inference in Network-based Epidemiological Simulations
N Smedemark-Margulies, R Walters, H Zimmermann, L Laird, ...
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