Meta-Inverse Physics-Informed Neural Networks for High-Dimensional Ordinary Differential Equations

Documenti analoghi

• A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Search
  di: Wei, Zhao, et al.
  Pubblicazione: (2025)
• Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
  di: Wong, Jian Cheng, et al.
  Pubblicazione: (2025)
• Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction
  di: Chiu, Pao-Hsiung, et al.
  Pubblicazione: (2026)
• Evolutionary Optimization of Physics-Informed Neural Networks: Advancing Generalizability by the Baldwin Effect
  di: Wong, Jian Cheng, et al.
  Pubblicazione: (2023)
• Out-of-Distribution Generalization for Neural Physics Solvers
  di: Wei, Zhao, et al.
  Pubblicazione: (2026)