Neural-Schwarz Tiling for Geometry-Universal PDE Solving at Scale
Fuente:
arXiv
Guardado en:
| Autores principales: | Secchi, Paolo, Balint, Daniel S., Maurizi, Marco |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving
por: Huang, Jianing, et al.
Publicado: (2025)
por: Huang, Jianing, et al.
Publicado: (2025)
Conditional Clifford-Steerable CNNs with Complete Kernel Basis for PDE Modeling
por: Szarvas, Bálint László, et al.
Publicado: (2025)
por: Szarvas, Bálint László, et al.
Publicado: (2025)
Latent Neural Operator for Solving Forward and Inverse PDE Problems
por: Wang, Tian, et al.
Publicado: (2024)
por: Wang, Tian, et al.
Publicado: (2024)
Striding Across Reynolds Numbers: Representation Geometry in Neural PDE Generalisation
por: Shi, Jianing
Publicado: (2026)
por: Shi, Jianing
Publicado: (2026)
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE
por: Liu, Jiaxu, et al.
Publicado: (2024)
por: Liu, Jiaxu, et al.
Publicado: (2024)
Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
por: Zhou, Hang, et al.
Publicado: (2024)
por: Zhou, Hang, et al.
Publicado: (2024)
Gauge-Equivariant Intrinsic Neural Operators for Geometry-Consistent Learning of Elliptic PDE Maps
por: Cheng, Pengcheng
Publicado: (2026)
por: Cheng, Pengcheng
Publicado: (2026)
DeltaPhi: Physical States Residual Learning for Neural Operators in Data-Limited PDE Solving
por: Yue, Xihang, et al.
Publicado: (2024)
por: Yue, Xihang, et al.
Publicado: (2024)
GFocal: A Global-Focal Neural Operator for Solving PDEs on Arbitrary Geometries
por: Fei, Fangzhi, et al.
Publicado: (2025)
por: Fei, Fangzhi, et al.
Publicado: (2025)
SymPlex: A Structure-Aware Transformer for Symbolic PDE Solving
por: Park, Yesom, et al.
Publicado: (2026)
por: Park, Yesom, et al.
Publicado: (2026)
SCNO: Spiking Compositional Neural Operator -- Towards a Neuromorphic Foundation Model for Nuclear PDE Solving
por: Roy, Samrendra, et al.
Publicado: (2026)
por: Roy, Samrendra, et al.
Publicado: (2026)
Ultra Fast PDE Solving via Physics Guided Few-step Diffusion
por: Kong, Cindy Xiangrui, et al.
Publicado: (2026)
por: Kong, Cindy Xiangrui, et al.
Publicado: (2026)
Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving
por: Kumar, Varun, et al.
Publicado: (2024)
por: Kumar, Varun, et al.
Publicado: (2024)
DiffusionPDE: Generative PDE-Solving Under Partial Observation
por: Huang, Jiahe, et al.
Publicado: (2024)
por: Huang, Jiahe, et al.
Publicado: (2024)
When Attention Beats Fourier: Multi-Scale Transformers for PDE Solving on Irregular Domains
por: Yee, Brandon, et al.
Publicado: (2026)
por: Yee, Brandon, et al.
Publicado: (2026)
Physics-Informed Inference Time Scaling for Solving High-Dimensional PDE via Defect Correction
por: Fan, Zexi, et al.
Publicado: (2025)
por: Fan, Zexi, et al.
Publicado: (2025)
Adaptive Mesh-Quantization for Neural PDE Solvers
por: Dool, Winfried van den, et al.
Publicado: (2025)
por: Dool, Winfried van den, et al.
Publicado: (2025)
Physics-Informed Neural Networks for Solving Derivative-Constrained PDEs
por: Hoshisashi, Kentaro, et al.
Publicado: (2026)
por: Hoshisashi, Kentaro, et al.
Publicado: (2026)
MetaColloc: Optimization-Free PDE Solving via Meta-Learned Basis Functions
por: Yang, Zichuan
Publicado: (2026)
por: Yang, Zichuan
Publicado: (2026)
UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation
por: Shen, Junhong, et al.
Publicado: (2024)
por: Shen, Junhong, et al.
Publicado: (2024)
Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
por: Luo, Huakun, et al.
Publicado: (2025)
por: Luo, Huakun, et al.
Publicado: (2025)
TileLang: A Composable Tiled Programming Model for AI Systems
por: Wang, Lei, et al.
Publicado: (2025)
por: Wang, Lei, et al.
Publicado: (2025)
Cauchy-Schwarz Fairness Regularizer
por: Liu, Yezi, et al.
Publicado: (2025)
por: Liu, Yezi, et al.
Publicado: (2025)
VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models
por: Li, Edward, et al.
Publicado: (2025)
por: Li, Edward, et al.
Publicado: (2025)
Learning a Neural Solver for Parametric PDE to Enhance Physics-Informed Methods
por: Boudec, Lise Le, et al.
Publicado: (2024)
por: Boudec, Lise Le, et al.
Publicado: (2024)
Flowers: A Warp Drive for Neural PDE Solvers
por: Muser, Till, et al.
Publicado: (2026)
por: Muser, Till, et al.
Publicado: (2026)
PDE-aware Optimizer for Physics-informed Neural Networks
por: Churiwala, Vismay, et al.
Publicado: (2025)
por: Churiwala, Vismay, et al.
Publicado: (2025)
ENMA: Tokenwise Autoregression for Generative Neural PDE Operators
por: Koupaï, Armand Kassaï, et al.
Publicado: (2025)
por: Koupaï, Armand Kassaï, et al.
Publicado: (2025)
Inverse Evolution Data Augmentation for Neural PDE Solvers
por: Liu, Chaoyu, et al.
Publicado: (2025)
por: Liu, Chaoyu, et al.
Publicado: (2025)
Generalizing PDE Emulation with Equation-Aware Neural Operators
por: Zhu, Qian-Ze, et al.
Publicado: (2025)
por: Zhu, Qian-Ze, et al.
Publicado: (2025)
Adversarial Learning for Neural PDE Solvers with Sparse Data
por: Gong, Yunpeng, et al.
Publicado: (2024)
por: Gong, Yunpeng, et al.
Publicado: (2024)
Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators
por: Cheng, Ze, et al.
Publicado: (2025)
por: Cheng, Ze, et al.
Publicado: (2025)
Hamiltonian Neural PDE Solvers through Functional Approximation
por: Zhou, Anthony, et al.
Publicado: (2025)
por: Zhou, Anthony, et al.
Publicado: (2025)
Multi-Scale Separable Fourier Neural Networks for Solving High-Frequency PDEs
por: Yang, Qihong, et al.
Publicado: (2026)
por: Yang, Qihong, et al.
Publicado: (2026)
Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs
por: George, Robert Joseph, et al.
Publicado: (2022)
por: George, Robert Joseph, et al.
Publicado: (2022)
OpInf-LLM: Parametric PDE Solving with LLMs via Operator Inference
por: Wang, Zhuoyuan, et al.
Publicado: (2026)
por: Wang, Zhuoyuan, et al.
Publicado: (2026)
DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE Solving
por: Yoo, Seungwoo, et al.
Publicado: (2026)
por: Yoo, Seungwoo, et al.
Publicado: (2026)
Scale-Agnostic Kolmogorov-Arnold Geometry in Neural Networks
por: Vanherreweghe, Mathew, et al.
Publicado: (2025)
por: Vanherreweghe, Mathew, et al.
Publicado: (2025)
Pre-Generating Multi-Difficulty PDE Data for Few-Shot Neural PDE Solvers
por: Choudhary, Naman, et al.
Publicado: (2025)
por: Choudhary, Naman, et al.
Publicado: (2025)
TileQ: Efficient Low-Rank Quantization of Mixture-of-Experts with 2D Tiling
por: Gu, Hongyaoxing, et al.
Publicado: (2026)
por: Gu, Hongyaoxing, et al.
Publicado: (2026)
Ejemplares similares
-
Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving
por: Huang, Jianing, et al.
Publicado: (2025) -
Conditional Clifford-Steerable CNNs with Complete Kernel Basis for PDE Modeling
por: Szarvas, Bálint László, et al.
Publicado: (2025) -
Latent Neural Operator for Solving Forward and Inverse PDE Problems
por: Wang, Tian, et al.
Publicado: (2024) -
Striding Across Reynolds Numbers: Representation Geometry in Neural PDE Generalisation
por: Shi, Jianing
Publicado: (2026) -
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE
por: Liu, Jiaxu, et al.
Publicado: (2024)