Understanding the dynamics of the frequency bias in neural networks

Documenti analoghi

• $Δ$-PINNs: physics-informed neural networks on complex geometries
  di: Costabal, Francisco Sahli, et al.
  Pubblicazione: (2022)
• Ensemble learning of the atrial fiber orientation with physics-informed neural networks
  di: Magaña, Efraín, et al.
  Pubblicazione: (2024)
• WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks
  di: Barrientos, Felipe Álvarez, et al.
  Pubblicazione: (2025)
• Fisher Flow Matching for Generative Modeling over Discrete Data
  di: Davis, Oscar, et al.
  Pubblicazione: (2024)
• Inference of dynamical gene regulatory networks from single-cell data with physics informed neural networks
  di: Mircea, Maria, et al.
  Pubblicazione: (2024)