| Flow Annealed Importance Sampling Bootstrap LI Midgley, V Stimper, GNC Simm, B Schölkopf, JM Hernández-Lobato The Eleventh International Conference on Learning Representations, 2023 | 77 | 2023 |
| Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX C Bonnet, D Luo, D Byrne, S Surana, V Coyette, P Duckworth, LI Midgley, ... The Twelfth International Conference on Learning Representations, 2024 | 37* | 2024 |
| SE (3) Equivariant Augmented Coupling Flows LI Midgley, V Stimper, J Antorán, E Mathieu, B Schölkopf, ... Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 19 | 2023 |
| Deep Reinforcement Learning for Process Synthesis LI Midgley arXiv preprint arXiv:2009.13265, 2020 | 17 | 2020 |
| Flashbax: Streamlining experience replay buffers for reinforcement learning with JAX E Toledo, L Midgley, D Byrne, CR Tilbury, M Macfarlane, C Courtot, ... URL https://github. com/instadeepai/flashbax 7, 2023 | 10* | 2023 |
| Synthesis of separation processes with reinforcement learning SCPA van Kalmthout, LI Midgley, MB Franke arXiv preprint arXiv:2211.04327, 2022 | 5 | 2022 |
| Reinforcement learning for chemical engineering process synthesis LI Midgley, M Thomson University of Cape Town, 2019 | 2 | 2019 |
| Efficient and Unbiased Sampling of Boltzmann Distributions via Consistency Models F Zhang, J He, LI Midgley, J Antorán, JM Hernández-Lobato arXiv preprint arXiv:2409.07323, 2024 | 1 | 2024 |
| Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function C Bonnet, L Midgley, A Laterre Sixth Workshop on Meta-Learning at the Conference on Neural Information …, 2022 | 1 | 2022 |
| Reinforcement learning for process synthesis with COCO and ChemSep: Distillation Gym L MIDGLEY | | |
Vincent StimperIsomorphic LabsVerified email at isomorphiclabs.com