Causality and Bayesian network PDEs for multiscale representations of porous media

Documenti analoghi

• Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations
  di: Zhang, Benjamin J., et al.
  Pubblicazione: (2025)
• Mathematics of Digital Twins and Transfer Learning for PDE Models
  di: Zong, Yifei, et al.
  Pubblicazione: (2025)
• Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling
  di: Propp, Adrienne M., et al.
  Pubblicazione: (2024)
• Resolution invariant deep operator network for PDEs with complex geometries
  di: Huang, Jianguo, et al.
  Pubblicazione: (2024)
• Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
  di: Li, Zongyi, et al.
  Pubblicazione: (2022)