Documenti analoghi

• Uncertainty quantification of neural network models of evolving processes via Langevin sampling
  di: Safta, Cosmin, et al.
  Pubblicazione: (2025)
• Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models
  di: Padmanabha, Govinda Anantha, et al.
  Pubblicazione: (2024)
• Differentiable neural network representation of multi-well, locally-convex potentials
  di: Jones, Reese E., et al.
  Pubblicazione: (2025)
• A hierarchy of thermodynamics learning frameworks for inelastic constitutive modeling
  di: Jones, Reese E., et al.
  Pubblicazione: (2026)
• An attention-based neural ordinary differential equation framework for modeling inelastic processes
  di: Jones, Reese E., et al.
  Pubblicazione: (2025)