📢 Active Learning for Neural PDE Solvers (AL4PDE; arxiv.org/abs/2408.01536) While active learning is common in other domains, it has yet to be studied extensively for neural PDE solving. This work introduces AL4PDE, a modular and extensible active learning benchmark. #ML4PDE
Includes multiple parametric PDEs & SOTA surrogate models for a solver-in-the-loop setting, enabling the evaluation of existing & development of new active learning methods for PDE solving. Evaluates batch active learning algorithms such as uncertainty & feature-based methods.
Shows that active learning reduces the average error by up to 71% compared to random sampling & significantly reduces worst-case errors. Acquired datasets are reusable, providing benefits for surrogate models not involved in the data generation. Code and dataset available soon.
A new line of research towards developing algorithms & methods that enable neural operators to achieve generalization over desiderata such as PDE parameters, ICs, BCs, Geometries, Resolutions, etc. #NeuralOperators #ML4Science #PDEs #NumericalSolvers #ActiveLearning #AI4Science
United States เทรนด์
- 1. #GrandEgyptianMuseum 25.8K posts
- 2. #GEM𓅓 7,175 posts
- 3. #Talus_Labs 1,018 posts
- 4. #capcutlovers N/A
- 5. Game 7 1,457 posts
- 6. Happy New Month 177K posts
- 7. jungkook 804K posts
- 8. Nigeria 420K posts
- 9. Kawhi 8,339 posts
- 10. vmin 4,556 posts
- 11. Ja Morant 5,839 posts
- 12. Barger 6,120 posts
- 13. GenG 11.4K posts
- 14. #RUNSEOKJIN_epTOUR_ENCORE 337K posts
- 15. Glasnow 6,837 posts
- 16. Halloween 2025 192K posts
- 17. Shirley Temple N/A
- 18. Tinubu 46.1K posts
- 19. Justin Dean 2,675 posts
- 20. Grizzlies 7,382 posts
Something went wrong.
Something went wrong.