Lucas Thibaut Meyer

According to our database, Lucas Thibaut Meyer authored at least 5 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

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., July, 2023

High Throughput Training of Deep Surrogates from Large Ensemble Runs.

Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribés, Bruno Raffin

Proceedings of the International Conference for High Performance Computing, 2023

Training Deep Surrogate Models with Large Scale Online Learning.

Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribés, Bruno Raffin

Proceedings of the International Conference on Machine Learning, 2023

2022

Simulation-Based Parallel Training.

Lucas Thibaut Meyer, Alejandro Ribés, Bruno Raffin

CoRR, 2022

2021

Deep Surrogate for Direct Time Fluid Dynamics.

Lucas Thibaut Meyer, Louen Pottier, Alejandro Ribés, Bruno Raffin

CoRR, 2021