NEURIPS "partial differential equations" Papers
15 papers found
Axial Neural Networks for Dimension-Free Foundation Models
Hyunsu Kim, Jonggeon Park, Joan Bruna et al.
NEURIPS 2025spotlightarXiv:2510.13665
CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs
Jan Hagnberger, Daniel Musekamp, Mathias Niepert
NEURIPS 2025spotlightarXiv:2505.12944
2
citations
Collapsing Taylor Mode Automatic Differentiation
Felix Dangel, Tim Siebert, Marius Zeinhofer et al.
NEURIPS 2025posterarXiv:2505.13644
Continuous Simplicial Neural Networks
Aref Einizade, Dorina Thanou, Fragkiskos Malliaros et al.
NEURIPS 2025posterarXiv:2503.12919
2
citations
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Sifan Wang, Ananyae bhartari, Bowen Li et al.
NEURIPS 2025posterarXiv:2502.00604
36
citations
Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary
ChuYu Zhou, Tianyu Li, Chenxi Lan et al.
NEURIPS 2025posterarXiv:2507.17535
Neuro-Spectral Architectures for Causal Physics-Informed Networks
Arthur Bizzi, Leonardo Moreira, Márcio Marques et al.
NEURIPS 2025oralarXiv:2509.04966
1
citations
Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints
Utkarsh Utkarsh, Pengfei Cai, Alan Edelman et al.
NEURIPS 2025posterarXiv:2506.04171
14
citations
PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling
Andrea Bonfanti, Ismael Medina, Roman List et al.
NEURIPS 2025posterarXiv:2510.21262
PINNs with Learnable Quadrature
Sourav Pal, Kamyar Azizzadenesheli, Vikas Singh
NEURIPS 2025poster
RIGNO: A Graph-based Framework For Robust And Accurate Operator Learning For PDEs On Arbitrary Domains
Sepehr Mousavi, Shizheng Wen, Levi Lingsch et al.
NEURIPS 2025oralarXiv:2501.19205
Solving and Learning Partial Differential Equations with Variational Q-Exponential Processes
Guangting Yu, Shiwei Lan
NEURIPS 2025poster
Solving Partial Differential Equations via Radon Neural Operator
Wenbin Lu, Yihan Chen, Junnan Xu et al.
NEURIPS 2025poster
4
citations
Thompson Sampling in Function Spaces via Neural Operators
Rafael Oliveira, Xuesong Wang, Kian Ming Chai et al.
NEURIPS 2025posterarXiv:2506.21894
UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss
Zhichao Wang, Xinhai Chen, Qinglin Wang et al.
NEURIPS 2025posterarXiv:2508.08615
1
citations