Efficient Global-Local Fusion Sampling for Physics-Informed Neural Networks

Documenti analoghi

• An Imbalanced Learning-based Sampling Method for Physics-informed Neural Networks
  di: Luo, Jiaqi, et al.
  Pubblicazione: (2025)
• NCART: Neural Classification and Regression Tree for Tabular Data
  di: Luo, Jiaqi, et al.
  Pubblicazione: (2023)
• Robust-GBDT: GBDT with Nonconvex Loss for Tabular Classification in the Presence of Label Noise and Class Imbalance
  di: Luo, Jiaqi, et al.
  Pubblicazione: (2023)
• Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions
  di: Luo, Jiaqi, et al.
  Pubblicazione: (2024)
• TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning
  di: Luo, Jiaqi, et al.
  Pubblicazione: (2025)