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Robert Pinsler
Robert Pinsler
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Bayesian batch active learning as sparse subset approximation
R Pinsler, J Gordon, E Nalisnick, JM Hernández-Lobato
Advances in Neural Information Processing Systems, 6359-6370, 2019
1332019
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics
GNC Simm, R Pinsler, JM Hernández-Lobato
International Conference on Machine Learning, 8959-8969, 2020
1112020
Symmetry-Aware Actor-Critic for 3D Molecular Design
GNC Simm, R Pinsler, G Csányi, JM Hernández-Lobato
International Conference on Learning Representations, 2021
662021
Two for one: Diffusion models and force fields for coarse-grained molecular dynamics
M Arts, V Garcia Satorras, CW Huang, D Zügner, M Federici, C Clementi, ...
Journal of Chemical Theory and Computation 19 (18), 6151-6159, 2023
442023
MatterGen: a generative model for inorganic materials design
C Zeni, R Pinsler, D Zügner, A Fowler, M Horton, X Fu, S Shysheya, ...
arXiv preprint arXiv:2312.03687, 2023
272023
Sample and feedback efficient hierarchical reinforcement learning from human preferences
R Pinsler, R Akrour, T Osa, J Peters, G Neumann
2018 IEEE international conference on robotics and automation (ICRA), 596-601, 2018
262018
Inverse Reinforcement Learning of Bird Flocking Behavior
R Pinsler, M Maag, O Arenz, G Neumann
ICRA 2018 Workshop on Swarms: From Biology to Robotics and Back, 2018
92018
Factored Contextual Policy Search with Bayesian Optimization
R Pinsler, P Karkus, A Kupcsik, D Hsu, WS Lee
2019 IEEE International Conference on Robotics and Automation (ICRA), 7242-7248, 2019
52019
Advances in Active Learning and Sequential Decision Making
R Pinsler
University of Cambridge, 2022
12022
MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures
H Yang, C Hu, Y Zhou, X Liu, Y Shi, J Li, G Li, Z Chen, S Chen, C Zeni, ...
arXiv preprint arXiv:2405.04967, 2024
2024
3D Molecular Design with Covariant Neural Networks
GNC Simm, R Pinsler, G Csányi, JM Hernández-Lobato
NeurIPS Workshop on Machine Learning for Molecules, 2020
2020
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