Robert Pinsler

13 papers A* 5Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A generative model for inorganic materials design. Nat. Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Xiang Fu, Zilong Wang, Aliaksandra Shysheya, Jonathan Crabbé, Shoko Ueda, Roberto Sordillo, Lixin Sun, Jake Smith, Bichlien Nguyen, Hannes Schulz, Sarah Lewis, Chin-Wei Huang, Ziheng Lu, Yichi Zhou, Han Yang, Hongxia Hao, Jielan Li, Chunlei Yang, Wenjie Li, Ryota Tomioka, Tian Xie
2025	J	`jnl`	UniGenX: Unified Generation of Sequence and Structure with Autoregressive Diffusion. CoRR Gongbo Zhang, Yanting Li, Renqian Luo, Pipi Hu, Zeru Zhao, Lingbo Li, Guoqing Liu, Zun Wang, Ran Bi, Kaiyuan Gao, Liya Guo, Yu Xie, Chang Liu, Jia Zhang, Tian Xie, Robert Pinsler, Claudio Zeni, Ziheng Lu, Yingce Xia, Marwin H. S. Segler, Maik Riechert, Li Yuan, Lei Chen, Haiguang Liu, Tao Qin
2023	J	`jnl`	MatterGen: a generative model for inorganic materials design. CoRR Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Xiang Fu, Sasha Shysheya, Jonathan Crabbé, Lixin Sun, Jake Smith, Ryota Tomioka, Tian Xie
2023	J	`jnl`	Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics. CoRR Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang, Daniel Zügner, Marco Federici, Cecilia Clementi, Frank Noé, Robert Pinsler, Rianne van den Berg
2021	A*	`conf`	Symmetry-Aware Actor-Critic for 3D Molecular Design. ICLR Gregor N. C. Simm, Robert Pinsler, Gábor Csányi, José Miguel Hernández-Lobato
2020	A*	`conf`	Reinforcement Learning for Molecular Design Guided by Quantum Mechanics. ICML Gregor N. C. Simm, Robert Pinsler, José Miguel Hernández-Lobato
2020	J	`jnl`	Reinforcement Learning for Molecular Design Guided by Quantum Mechanics. CoRR Gregor N. C. Simm, Robert Pinsler, José Miguel Hernández-Lobato
2020	J	`jnl`	Symmetry-Aware Actor-Critic for 3D Molecular Design. CoRR Gregor N. C. Simm, Robert Pinsler, Gábor Csányi, José Miguel Hernández-Lobato
2019	A*	`conf`	Bayesian Batch Active Learning as Sparse Subset Approximation. NeurIPS Robert Pinsler, Jonathan Gordon, Eric T. Nalisnick, José Miguel Hernández-Lobato
2019	J	`jnl`	Bayesian Batch Active Learning as Sparse Subset Approximation. CoRR Robert Pinsler, Jonathan Gordon, Eric T. Nalisnick, José Miguel Hernández-Lobato
2019	J	`jnl`	Factored Contextual Policy Search with Bayesian Optimization. CoRR Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2019	A*	`conf`	Factored Contextual Policy Search with Bayesian optimization. ICRA Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
2018	A*	`conf`	Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences. ICRA Robert Pinsler, Riad Akrour, Takayuki Osa, Jan Peters, Gerhard Neumann