Image de couverture de livre

Curriculum Learning of Physics-Informed Neural Networks based on Spatial Correlation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Xujia, Hu, Xinyue, Chen, Letian, Shi, Daming, Fan, Wenhui
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
par: Guo, Xudong, et autres
Publié: (2024)

Separated-Variable Spectral Neural Networks: A Physics-Informed Learning Approach for High-Frequency PDEs
par: Xiong, Xiong, et autres
Publié: (2025)

Optical Inversion and Spectral Unmixing of Spectroscopic Photoacoustic Images with Physics-Informed Neural Networks
par: Ter Martirosyan, Sarkis, et autres
Publié: (2026)

Dual-Balancing for Physics-Informed Neural Networks
par: Zhou, Chenhong, et autres
Publié: (2025)

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks
par: Chen, Ke-Jia, et autres
Publié: (2025)

Architecture-Optimization Co-Design for Physics-Informed Neural Networks Via Attentive Representations and Conflict-Resolved Gradients
par: Niu, Pancheng, et autres
Publié: (2026)

Enriched Physics-informed Neural Networks for Dynamic Poisson-Nernst-Planck Systems
par: Huang, Xujia, et autres
Publié: (2024)

From Simple to Complex: Curriculum-Guided Physics-Informed Neural Networks via Gaussian Mixture Models
par: Yang, Jianan, et autres
Publié: (2026)

Learning PDE Solvers with Physics and Data: A Unifying View of Physics-Informed Neural Networks and Neural Operators
par: Dai, Yilong, et autres
Publié: (2026)

Conformalized Physics-Informed Neural Networks
par: Podina, Lena, et autres
Publié: (2024)

Physics-Informed Neural Networks with Hard Linear Equality Constraints
par: Chen, Hao, et autres
Publié: (2024)

Statistical Learning Analysis of Physics-Informed Neural Networks
par: Barajas-Solano, David A.
Publié: (2026)

Stiff Transfer Learning for Physics-Informed Neural Networks
par: Seiler, Emilien, et autres
Publié: (2025)

Evolvable Psychology Informed Neural Network for Memory Behavior Modeling
par: Shen, Xiaoxuan, et autres
Publié: (2024)

Model Based and Physics Informed Deep Learning Neural Network Structures
par: Mohammad-Djafari, Ali, et autres
Publié: (2024)

Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks
par: Wong, Zhen Hao, et autres
Publié: (2024)

Physics-Informed Machine Learning for Transformer Condition Monitoring -- Part II: Physics-Informed Neural Networks and Uncertainty Quantification
par: Aizpurua, Jose I.
Publié: (2025)

Number Theoretic Accelerated Learning of Physics-Informed Neural Networks
par: Matsubara, Takashi, et autres
Publié: (2023)

Recent Advances of NeuroDiffEq -- An Open-Source Library for Physics-Informed Neural Networks
par: Liu, Shuheng, et autres
Publié: (2025)

FEM-Informed Hypergraph Neural Networks for Efficient Elastoplasticity
par: Yang, Jianchuan, et autres
Publié: (2026)

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
par: Wang, Zhe, et autres
Publié: (2024)

Weak Physics Informed Neural Networks for Geometry Compatible Hyperbolic Conservation Laws on Manifolds
par: Zhou, Hanfei, et autres
Publié: (2025)

Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks
par: Zhao, Yequan, et autres
Publié: (2025)

Preconditioning for Physics-Informed Neural Networks
par: Liu, Songming, et autres
Publié: (2024)

Complex Physics-Informed Neural Network
par: Si, Chenhao, et autres
Publié: (2025)

Physics-Informed Neural Networks and Extensions
par: Raissi, Maziar, et autres
Publié: (2024)

BAED: a New Paradigm for Few-shot Graph Learning with Explanation in the Loop
par: Chen, Chao, et autres
Publié: (2026)

Neural Tangent Kernel of Neural Networks with Loss Informed by Differential Operators
par: Gan, Weiye, et autres
Publié: (2025)

Fourier Feature Pyramids for Physics-Informed Neural Networks
par: Zhao, Brandon, et autres
Publié: (2026)

Physical Informed Neural Networks for modeling ocean pollutant
par: Battina, Karishma, et autres
Publié: (2025)

Functional Tensor Decompositions for Physics-Informed Neural Networks
par: Vemuri, Sai Karthikeya, et autres
Publié: (2024)

Architectural Strategies for the optimization of Physics-Informed Neural Networks
par: Saratchandran, Hemanth, et autres
Publié: (2024)

The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
par: Bonfanti, Andrea, et autres
Publié: (2024)

ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics
par: Chen, Letian, et autres
Publié: (2024)

CoAction: Cross-task Correlation-aware Pareto Set Learning
par: Chen, Xinyue, et autres
Publié: (2026)

Scalable Quantum Error Mitigation with Physically Informed Graph Neural Networks
par: Wang, Huaxin, et autres
Publié: (2026)

PIMPC-GNN: Physics-Informed Multi-Phase Consensus Learning for Enhancing Imbalanced Node Classification in Graph Neural Networks
par: Fofanah, Abdul Joseph, et autres
Publié: (2026)

Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks
par: Mazandarani, Mehran, et autres
Publié: (2025)

Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning
par: Pirayeshshirazinezhad, Reza
Publié: (2026)

Meta-Learning and Knowledge Discovery based Physics-Informed Neural Network for Remaining Useful Life Prediction
par: Wang, Yu, et autres
Publié: (2025)