Efficient Numerical Wave Propagation Enhanced By An End-to-End Deep Learning Model
Fuente:
arXiv
Saved in:
| Main Authors: | Kaiser, Luis, Tsai, Richard, Klingenberg, Christian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep Learning-Enhanced Calibration of the Heston Model: A Unified Framework
by: Zadgar, Arman, et al.
Published: (2025)
by: Zadgar, Arman, et al.
Published: (2025)
Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches
by: Wang, Yixuan
Published: (2026)
by: Wang, Yixuan
Published: (2026)
DeepRitzSplit Neural Operator for Phase-Field Models via Energy Splitting
by: Huang, Chih-Kang, et al.
Published: (2026)
by: Huang, Chih-Kang, et al.
Published: (2026)
Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry
by: Chemseddine, Jannis, et al.
Published: (2024)
by: Chemseddine, Jannis, et al.
Published: (2024)
Mathematical Modeling of Cancer-Bacterial Therapy: Analysis and Numerical Simulation via Physics-Informed Neural Networks
by: Farkane, Ayoub, et al.
Published: (2026)
by: Farkane, Ayoub, et al.
Published: (2026)
BGK model for rarefied gas in a bounded domain
by: Chen, Hongxu, et al.
Published: (2025)
by: Chen, Hongxu, et al.
Published: (2025)
Numerical Schemes for Signature Kernels
by: Cass, Thomas, et al.
Published: (2025)
by: Cass, Thomas, et al.
Published: (2025)
Adapting Noise to Data: Generative Flows from 1D Processes
by: Chemseddine, Jannis, et al.
Published: (2025)
by: Chemseddine, Jannis, et al.
Published: (2025)
Partial Differential Equations in the Age of Machine Learning: A Critical Synthesis of Classical, Machine Learning, and Hybrid Methods
by: Nooraiepour, Mohammad, et al.
Published: (2026)
by: Nooraiepour, Mohammad, et al.
Published: (2026)
Is Zero-Shot Super-Resolution Possible in Operator Learning?
by: Subedi, Unique, et al.
Published: (2026)
by: Subedi, Unique, et al.
Published: (2026)
Stiff Transfer Learning for Physics-Informed Neural Networks
by: Seiler, Emilien, et al.
Published: (2025)
by: Seiler, Emilien, et al.
Published: (2025)
An End-to-End Deep Learning Method for Solving Nonlocal Allen-Cahn and Cahn-Hilliard Phase-Field Models
by: Geng, Yuwei, et al.
Published: (2024)
by: Geng, Yuwei, et al.
Published: (2024)
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
by: Chen, Ziang, et al.
Published: (2024)
by: Chen, Ziang, et al.
Published: (2024)
Learning functional components of PDEs from data using neural networks
by: Loman, Torkel E., et al.
Published: (2026)
by: Loman, Torkel E., et al.
Published: (2026)
Generalization Error Bounds for Picard-Type Operator Learning in Nonlinear Parabolic PDEs
by: Taniguchi, Koichi, et al.
Published: (2026)
by: Taniguchi, Koichi, et al.
Published: (2026)
Learning PDE Solvers with Physics and Data: A Unifying View of Physics-Informed Neural Networks and Neural Operators
by: Dai, Yilong, et al.
Published: (2026)
by: Dai, Yilong, et al.
Published: (2026)
Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates
by: Mooney, Connor, et al.
Published: (2024)
by: Mooney, Connor, et al.
Published: (2024)
Artifacts of Numerical Integration in Learning Dynamical Systems
by: Lu, Bing-Ze, et al.
Published: (2025)
by: Lu, Bing-Ze, et al.
Published: (2025)
Soliton profiles: Classical Numerical Schemes vs. Neural Network - Based Solvers
by: Haight, Chandler, et al.
Published: (2025)
by: Haight, Chandler, et al.
Published: (2025)
Size Lowerbounds for Deep Operator Networks
by: Mukherjee, Anirbit, et al.
Published: (2023)
by: Mukherjee, Anirbit, et al.
Published: (2023)
Propagation of Chaos in Contextual Flow Maps
by: Chen, Shi, et al.
Published: (2026)
by: Chen, Shi, et al.
Published: (2026)
Interaction-Force Transport Gradient Flows
by: Gladin, Egor, et al.
Published: (2024)
by: Gladin, Egor, et al.
Published: (2024)
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery
by: Yu, Yue, et al.
Published: (2024)
by: Yu, Yue, et al.
Published: (2024)
On Probabilistic Embeddings in Optimal Dimension Reduction
by: Murray, Ryan, et al.
Published: (2024)
by: Murray, Ryan, et al.
Published: (2024)
Improved Graph-based semi-supervised learning Schemes
by: Bozorgnia, Farid
Published: (2024)
by: Bozorgnia, Farid
Published: (2024)
Solving the Poisson Equation with Dirichlet data by shallow ReLU$^α$-networks: A regularity and approximation perspective
by: Vaishampayan, Malhar, et al.
Published: (2024)
by: Vaishampayan, Malhar, et al.
Published: (2024)
Kernel Approximation of Fisher-Rao Gradient Flows
by: Zhu, Jia-Jie, et al.
Published: (2024)
by: Zhu, Jia-Jie, et al.
Published: (2024)
A Physics Informed Neural Network (PINN) Methodology for Coupled Moving Boundary PDEs
by: Kathane, Shivprasad, et al.
Published: (2024)
by: Kathane, Shivprasad, et al.
Published: (2024)
Minimax Rates for the Estimation of Eigenpairs of Weighted Laplace-Beltrami Operators on Manifolds
by: Trillos, Nicolás García, et al.
Published: (2025)
by: Trillos, Nicolás García, et al.
Published: (2025)
The emergence of clusters in self-attention dynamics
by: Geshkovski, Borjan, et al.
Published: (2023)
by: Geshkovski, Borjan, et al.
Published: (2023)
Double Coupling Architecture and Training Method for Optimization Problems of Differential Algebraic Equations with Parameters
by: Yang, Wenqiang, et al.
Published: (2026)
by: Yang, Wenqiang, et al.
Published: (2026)
Trace Regularity PINNs: Enforcing $\mathrm{H}^{\frac{1}{2}}(\partial Ω)$ for Boundary Data
by: Kim, Doyoon, et al.
Published: (2025)
by: Kim, Doyoon, et al.
Published: (2025)
Regularity of Solutions to Beckmann's Parametric Optimal Transport
by: Gottschalk, Hanno, et al.
Published: (2026)
by: Gottschalk, Hanno, et al.
Published: (2026)
Full Field Inversion of the Attenuated Wave Equation: Theory and Numerical Inversion
by: Do, Ngoc, et al.
Published: (2024)
by: Do, Ngoc, et al.
Published: (2024)
Propagation of Wave Packets Close to Conical Intersections
by: Curely, Marianne
Published: (2025)
by: Curely, Marianne
Published: (2025)
End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver
by: Ma, Shaocong, et al.
Published: (2024)
by: Ma, Shaocong, et al.
Published: (2024)
Wasserstein Bounds for generative diffusion models with Gaussian tail targets
by: Wang, Xixian, et al.
Published: (2024)
by: Wang, Xixian, et al.
Published: (2024)
Barron Space Representations for Elliptic PDEs with Homogeneous Boundary Conditions
by: Chen, Ziang, et al.
Published: (2025)
by: Chen, Ziang, et al.
Published: (2025)
Generalization Bounds for Physics-Informed Neural Networks for the Incompressible Navier-Stokes Equations
by: Andre-Sloan, Sebastien, et al.
Published: (2026)
by: Andre-Sloan, Sebastien, et al.
Published: (2026)
Unified generalization analysis for physics informed neural networks
by: Hashimoto, Yuka, et al.
Published: (2026)
by: Hashimoto, Yuka, et al.
Published: (2026)
Similar Items
-
Deep Learning-Enhanced Calibration of the Heston Model: A Unified Framework
by: Zadgar, Arman, et al.
Published: (2025) -
Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches
by: Wang, Yixuan
Published: (2026) -
DeepRitzSplit Neural Operator for Phase-Field Models via Energy Splitting
by: Huang, Chih-Kang, et al.
Published: (2026) -
Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry
by: Chemseddine, Jannis, et al.
Published: (2024) -
Mathematical Modeling of Cancer-Bacterial Therapy: Analysis and Numerical Simulation via Physics-Informed Neural Networks
by: Farkane, Ayoub, et al.
Published: (2026)