Lucas Thibaut Meyer

Researcher, Simons Foundation

Joined

September 2022

Names

Lucas Thibaut Meyer (Preferred)

Emails

****@inria.fr (Confirmed)

****@gmail.com (Confirmed)

****@theforecastingcompany.com (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Researcher

Simons Foundation (simonsfoundation.org)

2024 – Present

PhD student

INRIA (inria.fr)

2020 – 2024

MS student

École Polytechnique de Montréal, Université de Montréal (polymtl.ca)

2016 – 2018

MS student

Ecole Nationale des Ponts et Chausees (enpc.fr)

2013 – 2016

Advisors, Relations & Conflicts

PhD Advisor

Bruno Raffin

2020 – 2024

PhD Advisor

Alejandro Ribes

2020 – 2024

Expertise

No areas of expertise listed

Publications

AION-1: Omnimodal Foundation Model for Astronomical Sciences
Liam Holden Parker, Francois Lanusse, Jeff Shen, Ollie Liu, Tom Hehir, Leopoldo Sarra, Lucas Thibaut Meyer, Micah Bowles, Sebastian Wagner-Carena, Helen Qu, Siavash Golkar, Alberto Bietti, Hatim Bourfoune, Pierre Cornette, Keiya Hirashima, Geraud Krawezik, Ruben Ohana, Nicholas Lourie, Michael McCabe, Rudy Morel et al. (5 additional authors not shown)
- NeurIPS2025-AI4Science Oral
- Readers: Everyone
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme
Rudy Morel, Francesco Pio Ramunno, Jeff Shen, Alberto Bietti, Kyunghyun Cho, Miles Cranmer, Siavash Golkar, OLEXANDR GUGNIN, Geraud Krawezik, Tanya Marwah, Michael McCabe, Lucas Thibaut Meyer, Payel Mukhopadhyay, Ruben Ohana, Liam Holden Parker, Helen Qu, François Rozet, K.D. Leka, Francois Lanusse, David Fouhey et al. (1 additional authors not shown)
- NeurIPS 2025 poster
- Readers: Everyone
AION-1: Omnimodal Foundation Model for Astronomical Sciences
Liam Holden Parker, Francois Lanusse, Jeff Shen, Ollie Liu, Tom Hehir, Leopoldo Sarra, Lucas Thibaut Meyer, Micah Bowles, Sebastian Wagner-Carena, Helen Qu, Siavash Golkar, Alberto Bietti, Hatim Bourfoune, Pierre Cornette, Keiya Hirashima, Geraud Krawezik, Ruben Ohana, Nicholas Lourie, Michael McCabe, Rudy Morel et al. (5 additional authors not shown)
- NeurIPS 2025 poster
- Readers: Everyone
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
Ruben Ohana, Michael McCabe, Lucas Thibaut Meyer, Rudy Morel, Fruzsina Julia Agocs, Miguel Beneitez, Marsha Berger, Blakesley Burkhart, Stuart B. Dalziel, Drummond Buschman Fielding, Daniel Fortunato, Jared A. Goldberg, Keiya Hirashima, Yan-Fei Jiang, Rich Kerswell, Suryanarayana Maddu, Jonah M. Miller, Payel Mukhopadhyay, Stefan S. Nixon, Jeff Shen et al. (5 additional authors not shown)
- D3S3 2024 Poster
- Readers: Everyone
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
Ruben Ohana, Michael McCabe, Lucas Thibaut Meyer, Rudy Morel, Fruzsina Julia Agocs, Miguel Beneitez, Marsha Berger, Blakesley Burkhart, Stuart B. Dalziel, Drummond Buschman Fielding, Daniel Fortunato, Jared A. Goldberg, Keiya Hirashima, Yan-Fei Jiang, Rich Kerswell, Suryanarayana Maddu, Jonah M. Miller, Payel Mukhopadhyay, Stefan S. Nixon, Jeff Shen et al. (6 additional authors not shown)
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data
Eirini Angeloudi, Jeroen Audenaert, Micah Bowles, Benjamin M. Boyd, David Chemaly, Brian Cherinka, Ioana Ciuca, Miles Cranmer, Aaron Do, Matthew Grayling, Erin Elizabeth Hayes, Tom Hehir, Shirley Ho, Marc Huertas-Company, Kartheik G. Iyer, Maja Jablonska, Francois Lanusse, Henry W. Leung, Kaisey Mandel, Juan Rafael Martínez-Galarza et al. (9 additional authors not shown)
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses
Marc Schouler, Robert Alexander Caulk, Lucas Thibaut Meyer, Théophile Terraz, Christoph Conrads, Sebastian Friedemann, Achal Agarwal, Juan Manuel Baldonado, Bartlomiej Pogodzinski, Anna Sekula, Alejandro Ribés, Bruno Raffin
- J. Open Source Softw. 2023
- Readers: Everyone
Deep Surrogate for Direct Time Fluid Dynamics
Lucas Thibaut Meyer, Louen Pottier, Alejandro Ribes, Bruno Raffin
- 21 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Training Deep Surrogate Models with Large Scale Online Learning
Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribes, Bruno Raffin
- ICML 2023 Poster
- Readers: Everyone
High Throughput Training of Deep Surrogates from Large Ensemble Runs
Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribés, Bruno Raffin
- SC 2023
- Readers: Everyone

View all 11 publications

Co-Authors

View all 78 co-authors