Saved in:
| Main Authors: | Ma, Qingkui, Xie, Hehu, Yin, Xiaobo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.19601 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Levy Equations
by: Hu, Zheyuan, et al.
Published: (2024)
by: Hu, Zheyuan, et al.
Published: (2024)
fPINN-DeepONet: A Physics-Informed Operator Learning Framework for Multi-term Time-fractional Mixed Diffusion-wave Equations
by: Lu, Binghang, et al.
Published: (2026)
by: Lu, Binghang, et al.
Published: (2026)
A Robust GPU-Accelerated Kernel Compensation Solver with Novel Discretization for Photonic Crystals in Anisotropic Media
by: Jin, Chenhao, et al.
Published: (2025)
by: Jin, Chenhao, et al.
Published: (2025)
Solving Time-Fractional Partial Integro-Differential Equations Using Tensor Neural Network
by: Lin, Zhongshuo, et al.
Published: (2025)
by: Lin, Zhongshuo, et al.
Published: (2025)
Stochastic Quadrature Rules for Solving PDEs using Neural Networks
by: Taylor, Jamie M., et al.
Published: (2025)
by: Taylor, Jamie M., et al.
Published: (2025)
Smoothed Circulant Embedding with Applications to Multilevel Monte Carlo Methods for PDEs with Random Coefficients
by: Istratuca, Anastasia, et al.
Published: (2023)
by: Istratuca, Anastasia, et al.
Published: (2023)
The weak Galerkin finite element method for the Steklov eigenvalue problem
by: Li, Shusheng, et al.
Published: (2023)
by: Li, Shusheng, et al.
Published: (2023)
The Weak Galerkin and Crouzeix-Raviart element method for elastic eigenvalue problems
by: Lu, Wei, et al.
Published: (2025)
by: Lu, Wei, et al.
Published: (2025)
Projected Walk on Spheres: A Monte Carlo Closest Point Method for Surface PDEs
by: Sugimoto, Ryusuke, et al.
Published: (2024)
by: Sugimoto, Ryusuke, et al.
Published: (2024)
FNWoS: Fractional Neural Walk-on-Spheres Methods for High-Dimensional PDEs Driven by $α$-stable Lévy Process on Irregular Domains
by: Guo, Ling, et al.
Published: (2026)
by: Guo, Ling, et al.
Published: (2026)
Error estimates of finite element methods for nonlocal problems using exact or approximated interaction neighborhoods
by: Du, Qiang, et al.
Published: (2024)
by: Du, Qiang, et al.
Published: (2024)
PASE: A Massively Parallel Augmented Subspace Eigensolver for Large Scale Eigenvalue Problems
by: Liao, Yangfei, et al.
Published: (2025)
by: Liao, Yangfei, et al.
Published: (2025)
A High-Order Quadrature Method for Implicitly Defined Hypersurfaces and Regions
by: Zhao, Zibo
Published: (2025)
by: Zhao, Zibo
Published: (2025)
High-Order Symmetric Positive Interior Quadrature Rules on Two and Three Dimensional Domains
by: Diallo, Moustapha, et al.
Published: (2026)
by: Diallo, Moustapha, et al.
Published: (2026)
Analysis of Convergence for the IPA-AC Method
by: Yang, Xiuzhu, et al.
Published: (2026)
by: Yang, Xiuzhu, et al.
Published: (2026)
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs
by: Tang, Kejun, et al.
Published: (2023)
by: Tang, Kejun, et al.
Published: (2023)
Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy
by: Lin, Zhongshuo, et al.
Published: (2024)
by: Lin, Zhongshuo, et al.
Published: (2024)
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
by: Zhang, Rui, et al.
Published: (2023)
by: Zhang, Rui, et al.
Published: (2023)
Deep Picard Iteration for High-Dimensional Nonlinear PDEs
by: Han, Jiequn, et al.
Published: (2024)
by: Han, Jiequn, et al.
Published: (2024)
Stratified regression Monte-Carlo scheme for semilinear PDEs and BSDEs with large scale parallelization on GPUs
by: Gobet, E., et al.
Published: (2024)
by: Gobet, E., et al.
Published: (2024)
Solving High-Dimensional PDEs Using Linearized Neural Networks
by: Mao, Tong, et al.
Published: (2026)
by: Mao, Tong, et al.
Published: (2026)
Generalized Non-Standard Finite Difference Method for Fractional PDEs on Non-Uniform Grids
by: Mishra, Devank, et al.
Published: (2025)
by: Mishra, Devank, et al.
Published: (2025)
Enhanced Error Estimates for Augmented Subspace Method with Crouzeix-Raviart Element
by: Guan, Zhijin, et al.
Published: (2024)
by: Guan, Zhijin, et al.
Published: (2024)
Adjoint Monte Carlo Method
by: Caflisch, Russel, et al.
Published: (2024)
by: Caflisch, Russel, et al.
Published: (2024)
Neural Network Element Method for Partial Differential Equations
by: Wang, Yifan, et al.
Published: (2025)
by: Wang, Yifan, et al.
Published: (2025)
Tensor Neural Network Based Machine Learning Method for Elliptic Multiscale Problems
by: Lin, Zhongshuo, et al.
Published: (2024)
by: Lin, Zhongshuo, et al.
Published: (2024)
Approximation Theory and Applications of Randomized Neural Networks for Solving High-Dimensional PDEs
by: De Ryck, T., et al.
Published: (2025)
by: De Ryck, T., et al.
Published: (2025)
Fractional Dissipative PDEs
by: Achleitner, Franz, et al.
Published: (2023)
by: Achleitner, Franz, et al.
Published: (2023)
Continuous Finite Element Method For Maxwell Eigenvalue Problems With Regular Decomposition Technique
by: Liao, Feiyi, et al.
Published: (2025)
by: Liao, Feiyi, et al.
Published: (2025)
Solving High Dimensional Partial Differential Equations Using Tensor Neural Network and A Posteriori Error Estimators
by: Wang, Yifan, et al.
Published: (2023)
by: Wang, Yifan, et al.
Published: (2023)
Weighted Quadrature on Unstructured Splines
by: Sheng, Ji, et al.
Published: (2026)
by: Sheng, Ji, et al.
Published: (2026)
R-PINN: Recovery-type a-posteriori estimator enhanced adaptive PINN
by: Lu, Rongxin, et al.
Published: (2025)
by: Lu, Rongxin, et al.
Published: (2025)
Quasi-Regression Monte-Carlo scheme for semi-linear PDEs and BSDEs with large scale parallelization on GPUs
by: Gobet, E., et al.
Published: (2024)
by: Gobet, E., et al.
Published: (2024)
Stochastic Simulation and Monte Carlo Method
by: Mirzaei, Davoud
Published: (2025)
by: Mirzaei, Davoud
Published: (2025)
Convolution Quadrature for the quasilinear subdiffusion equation
by: López-Fernández, Maria, et al.
Published: (2023)
by: López-Fernández, Maria, et al.
Published: (2023)
High Accuracy Techniques Based Adaptive Finite Element Methods for Elliptic PDEs
by: Xiao, Jingjing, et al.
Published: (2025)
by: Xiao, Jingjing, et al.
Published: (2025)
New High-Order Numerical Methods for Hyperbolic Systems of Nonlinear PDEs with Uncertainties
by: Chertock, Alina, et al.
Published: (2023)
by: Chertock, Alina, et al.
Published: (2023)
Regularity Analysis and Tensor Neural Network Methods for Quasiperiodic Elliptic Equations
by: Ren, Jingze, et al.
Published: (2026)
by: Ren, Jingze, et al.
Published: (2026)
Quadrature formulas based on rational interpolation
by: Van Assche, Walter, et al.
Published: (1993)
by: Van Assche, Walter, et al.
Published: (1993)
A First Course in Monte Carlo Methods
by: Sanz-Alonso, Daniel, et al.
Published: (2024)
by: Sanz-Alonso, Daniel, et al.
Published: (2024)
Similar Items
-
Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Levy Equations
by: Hu, Zheyuan, et al.
Published: (2024) -
fPINN-DeepONet: A Physics-Informed Operator Learning Framework for Multi-term Time-fractional Mixed Diffusion-wave Equations
by: Lu, Binghang, et al.
Published: (2026) -
A Robust GPU-Accelerated Kernel Compensation Solver with Novel Discretization for Photonic Crystals in Anisotropic Media
by: Jin, Chenhao, et al.
Published: (2025) -
Solving Time-Fractional Partial Integro-Differential Equations Using Tensor Neural Network
by: Lin, Zhongshuo, et al.
Published: (2025) -
Stochastic Quadrature Rules for Solving PDEs using Neural Networks
by: Taylor, Jamie M., et al.
Published: (2025)