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Laurence Illing Midgley
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2020 – today
- 2024
- [c3]Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Sasha Abramowitz, Paul Duckworth, Vincent Coyette, Laurence Illing Midgley, Elshadai Tegegn, Tristan Kalloniatis, Omayma Mahjoub, Matthew Macfarlane, Andries P. Smit, Nathan Grinsztajn, Raphaël Boige, Cemlyn N. Waters, Mohamed A. Mimouni, Ulrich A. Mbou Sob, Ruan de Kock, Siddarth Singh, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre:
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. ICLR 2024 - [i8]Fengzhe Zhang, Jiajun He, Laurence I. Midgley, Javier Antorán, José Miguel Hernández-Lobato:
Efficient and Unbiased Sampling of Boltzmann Distributions via Consistency Models. CoRR abs/2409.07323 (2024) - 2023
- [c2]Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm, Bernhard Schölkopf, José Miguel Hernández-Lobato:
Flow Annealed Importance Sampling Bootstrap. ICLR 2023 - [c1]Laurence I. Midgley, Vincent Stimper, Javier Antorán, Emile Mathieu, Bernhard Schölkopf, José Miguel Hernández-Lobato:
SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023 - [i7]Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Vincent Coyette, Paul Duckworth, Laurence I. Midgley, Tristan Kalloniatis, Sasha Abramowitz, Cemlyn N. Waters, Andries P. Smit, Nathan Grinsztajn, Ulrich A. Mbou Sob, Omayma Mahjoub, Elshadai Tegegn, Mohamed A. Mimouni, Raphaël Boige, Ruan de Kock, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre:
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. CoRR abs/2306.09884 (2023) - [i6]Laurence I. Midgley, Vincent Stimper, Javier Antorán, Emile Mathieu, Bernhard Schölkopf, José Miguel Hernández-Lobato:
SE(3) Equivariant Augmented Coupling Flows. CoRR abs/2308.10364 (2023) - 2022
- [i5]Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm, Bernhard Schölkopf, José Miguel Hernández-Lobato:
Flow Annealed Importance Sampling Bootstrap. CoRR abs/2208.01893 (2022) - [i4]Stephan C. P. A. van Kalmthout, Laurence Illing Midgley, Meik B. Franke:
Synthesis of separation processes with reinforcement learning. CoRR abs/2211.04327 (2022) - [i3]Clément Bonnet, Laurence I. Midgley, Alexandre Laterre:
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function. CoRR abs/2211.10550 (2022) - 2021
- [i2]Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm, José Miguel Hernández-Lobato:
Bootstrap Your Flow. CoRR abs/2111.11510 (2021) - 2020
- [i1]Laurence Illing Midgley:
Deep Reinforcement Learning for Process Synthesis. CoRR abs/2009.13265 (2020)
Coauthor Index
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