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Laurence Illing Midgley
PhD student, University of Cambridge
Joined
November 2021
Names
Laurence Illing Midgley
(Preferred)
,
Laurence Midgley
Emails
****@gmail.com
(Confirmed)
,
****@cam.ac.uk
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Career & Education History
PhD student
University of Cambridge
(cam.ac.uk)
2023
–
2027
Researcher
InstaDeep
(instadeep.com)
2021
–
2022
MS student
University of Cambridge
(cam.ac.uk)
2020
–
2021
Advisors, Relations & Conflicts
Coauthor
José Miguel Hernández-Lobato
2021
–
2027
Coauthor
Emile Mathieu
2023
–
2023
Coauthor
Javier Antorán
2023
–
2023
Coauthor
Vincent Stimper
2021
–
2023
Expertise
deep generative models
2020
–
2023
machine learning for molecules
2020
–
2023
reinforcement learning
2019
–
2023
Publications
Efficient and Unbiased Sampling from Boltzmann Distributions via Variance-Tuned Diffusion Models
Fengzhe Zhang
,
Laurence Illing Midgley
,
José Miguel Hernández-Lobato
Accepted by TMLR
Readers:
Everyone
SE(3) Equivariant Augmented Coupling Flows
Laurence Illing Midgley
,
Vincent Stimper
,
Javier Antoran
,
Emile Mathieu
,
Bernhard Schölkopf
,
José Miguel Hernández-Lobato
NeurIPS2023-AI4Science Poster
Readers:
Everyone
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
Clément Bonnet
,
Daniel Luo
,
Donal John Byrne
,
Shikha Surana
,
Sasha Abramowitz
,
Paul Duckworth
,
Vincent Coyette
,
Laurence Illing Midgley
,
Elshadai Tegegn
,
Tristan Kalloniatis
,
Omayma Mahjoub
,
Matthew Macfarlane
,
Andries Petrus Smit
,
Nathan Grinsztajn
,
Raphael Boige
,
Cemlyn Neil Waters
,
Mohamed Ali Ali Mimouni
,
Ulrich Armel Mbou Sob
,
Ruan John de Kock
,
Siddarth Singh
et al. (4 additional authors not shown)
ICLR 2024 poster
Readers:
Everyone
SE(3) Equivariant Augmented Coupling Flows
Laurence Illing Midgley
,
Vincent Stimper
,
Javier Antoran
,
Emile Mathieu
,
Bernhard Schölkopf
,
José Miguel Hernández-Lobato
NeurIPS 2023 spotlight
Readers:
Everyone
Flow Annealed Importance Sampling Bootstrap
Laurence Illing Midgley
,
Vincent Stimper
,
Gregor N. C. Simm
,
Bernhard Schölkopf
,
José Miguel Hernández-Lobato
Published: 01 Jan 2023, Last Modified: 29 Sept 2023
ICLR 2023
Readers:
Everyone
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
Clément Bonnet
,
Laurence Illing Midgley
,
Alexandre Laterre
Published: 21 Oct 2022, Last Modified: 15 Feb 2026
NeurIPS 2022 Workshop MetaLearn Poster
Readers:
Everyone
Flow Annealed Importance Sampling Bootstrap
Laurence Illing Midgley
,
Vincent Stimper
,
Gregor N. C. Simm
,
Bernhard Schölkopf
,
José Miguel Hernández-Lobato
Published: 21 Oct 2022, Last Modified: 08 Feb 2026
AI4Science Poster
Readers:
Everyone
Flow Annealed Importance Sampling Bootstrap
Laurence Illing Midgley
,
Vincent Stimper
,
Gregor N. C. Simm
,
Bernhard Schölkopf
,
José Miguel Hernández-Lobato
Published: 01 Feb 2023, Last Modified: 14 Jan 2026
ICLR 2023 notable top 25%
Readers:
Everyone
Flow Annealed Importance Sampling Bootstrap
Laurence Illing Midgley
,
Vincent Stimper
,
Gregor N. C. Simm
,
Bernhard Schölkopf
,
José Miguel Hernández-Lobato
2022 (modified: 17 Apr 2023)
CoRR 2022
Readers:
Everyone
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
Clément Bonnet
,
Laurence Midgley
,
Alexandre Laterre
2022 (modified: 17 Apr 2023)
CoRR 2022
Readers:
Everyone
View all 13 publications
Co-Authors
Alexandre Laterre
Andries Petrus Smit
Arnu Pretorius
Bernhard Schölkopf
Cemlyn Neil Waters
Clément Bonnet
Daniel Furelos-Blanco
Daniel Luo
Donal John Byrne
Elshadai Tegegn
Emile Mathieu
Fengzhe Zhang
Gregor N. C. Simm
Javier Antoran
José Miguel Hernández-Lobato
Matthew Macfarlane
Mohamed Ali Ali Mimouni
Nathan Grinsztajn
Omayma Mahjoub
Paul Duckworth
Raphael Boige
Ruan John de Kock
Sasha Abramowitz
Shikha Surana
Siddarth Singh
View all 30 co-authors