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Julie Digne

2 accepted papers

2024

Space and time continuous physics simulation from partial observations

ICLR 2024spotlight

Modern techniques for physical simulations rely on numerical schemes and mesh-refinement methods to address trade-offs between precision and complexity, but these handcrafted solutions are tedious and require high computational power. Data-driven methods based on large-scale machine learning promise…

Cited by 6SourcePDFScholar
2023

EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers

ICLR 2023poster

Estimating fluid dynamics is classically done through the simulation and integration of numerical models solving the Navier-Stokes equations, which is computationally complex and time-consuming even on high-end hardware. This is a notoriously hard problem to solve, which has recently been addressed…

Cited by 36SourcePDFScholar