I presented our recent paper on modeling accurate long rollouts with neural PDE solvers.
I presented our ICML workshop paper on how to achieve accurate long rollouts with neural PDE solvers.
How to use Neural Networks to solve complex partial differential equations accurately for long-term predictions.
PDE-Refiner is an iterative refinement process that enables neural operator training for accurate and stable predictions over long time horizons. Published at NeurIPS 2023 (**Spotlight**).