:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Noorizadegan, A., Cavoretto, R., Young, D. L., Chen, C. S.
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence Numerical Analysis
Acceso en línea:	https://arxiv.org/abs/2407.07375
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Practitioner's Guide to Kolmogorov-Arnold Networks
por: Noorizadegan, Amir, et al.
Publicado: (2025)

Deep Learning-Enhanced Preconditioning for Efficient Conjugate Gradient Solvers in Large-Scale PDE Systems
por: Li, Rui, et al.
Publicado: (2024)

MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation
por: Wang, Qi, et al.
Publicado: (2025)

Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
por: Zhou, Hang, et al.
Publicado: (2024)

Kinetic-based regularization: Learning spatial derivatives and PDE applications
por: Ganguly, Abhisek, et al.
Publicado: (2026)

On Uniform Weighted Deep Polynomial approximation
por: Yeon, Kingsley, et al.
Publicado: (2025)

Beyond Loss Guidance: Using PDE Residuals as Spectral Attention in Diffusion Neural Operators
por: Sawhney, Medha, et al.
Publicado: (2025)

Highway Networks for Improved Surface Reconstruction: The Role of Residuals and Weight Updates
por: Noorizadegan, A., et al.
Publicado: (2024)

CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators
por: Hou, Xianglong, et al.
Publicado: (2025)

CATO: Charted Attention for Neural PDE Operators
por: Cheng, Chun-Wun, et al.
Publicado: (2026)

CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
por: Li, Shanda, et al.
Publicado: (2025)

Are Deep Learning Based Hybrid PDE Solvers Reliable? Why Training Paradigms and Update Strategies Matter
por: Wu, Yuhan, et al.
Publicado: (2026)

Better Neural PDE Solvers Through Data-Free Mesh Movers
por: Hu, Peiyan, et al.
Publicado: (2023)

Moving Sampling Physics-informed Neural Networks induced by Moving Mesh PDE
por: Yang, Yu, et al.
Publicado: (2023)

AutoNumerics: An Autonomous, PDE-Agnostic Multi-Agent Pipeline for Scientific Computing
por: Du, Jianda, et al.
Publicado: (2026)

PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws
por: Yang, Liu, et al.
Publicado: (2024)

DeepContour: A Hybrid Deep Learning Framework for Accelerating Generalized Eigenvalue Problem Solving via Efficient Contour Design
por: Chen, Yeqiu, et al.
Publicado: (2025)

DiffusionPDE: Generative PDE-Solving Under Partial Observation
por: Huang, Jiahe, et al.
Publicado: (2024)

P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
por: Wang, Qi, et al.
Publicado: (2024)

Partition-of-Unity Gaussian Kolmogorov-Arnold Networks
por: Noorizadegan, Amir
Publicado: (2026)

LieSolver: A PDE-constrained solver for IBVPs using Lie symmetries
por: Klausen, René P., et al.
Publicado: (2025)

Physics-Informed Inference Time Scaling for Solving High-Dimensional PDE via Defect Correction
por: Fan, Zexi, et al.
Publicado: (2025)

V-ABFT: Variance-Based Adaptive Threshold for Fault-Tolerant Matrix Multiplication in Mixed-Precision Deep Learning
por: Gao, Yiheng, et al.
Publicado: (2026)

Kernel Learning of PDE Solution Operators
por: Hu, Jianyu, et al.
Publicado: (2026)

Flexible SE(2) graph neural networks with applications to PDE surrogates
por: Bånkestad, Maria, et al.
Publicado: (2024)

ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines
por: Son, Hwijae
Publicado: (2025)

When Attention Beats Fourier: Multi-Scale Transformers for PDE Solving on Irregular Domains
por: Yee, Brandon, et al.
Publicado: (2026)

Intrinsic and Extrinsic Organized Attention: Softmax Invariance and Network Sparsity
por: Fasina, Oluwadamilola, et al.
Publicado: (2025)

Using Crank-Nikolson Scheme to Solve the Korteweg-de Vries (KdV) Equation
por: Wu, Qiming
Publicado: (2024)

Numerical Considerations in Weighted Model Counting
por: Bryant, Randal E.
Publicado: (2025)

BWLer: Barycentric Weight Layer Elucidates a Precision-Conditioning Tradeoff for PINNs
por: Liu, Jerry, et al.
Publicado: (2025)

Generative Neural Reparameterization for Differentiable PDE-constrained Optimization
por: Joglekar, Archis S.
Publicado: (2024)

KAN-GCN: Combining Kolmogorov-Arnold Network with Graph Convolution Network for an Accurate Ice Sheet Emulator
por: Liu, Zesheng, et al.
Publicado: (2025)

Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation
por: Zhang, Yi, et al.
Publicado: (2025)

Enhancing Forex Forecasting Accuracy: The Impact of Hybrid Variable Sets in Cognitive Algorithmic Trading Systems
por: King, Juan C., et al.
Publicado: (2025)

Nonsingularity of unsymmetric Kansa matrices: random collocation by MultiQuadrics and Inverse MultiQuadrics
por: Cavoretto, R., et al.
Publicado: (2024)

SPIKE: Stable Physics-Informed Kernel Evolution Method for Solving Hyperbolic Conservation Laws
por: Su, Hua, et al.
Publicado: (2025)

Advancing the Understanding of Fixed Point Iterations in Deep Neural Networks: A Detailed Analytical Study
por: Ke, Yekun, et al.
Publicado: (2024)

Deep regularization networks for inverse problems with noisy operators
por: Pourahmadian, Fatemeh, et al.
Publicado: (2025)

Data-Driven Adaptive Gradient Recovery for Unstructured Finite Volume Computations
por: de Romémont, G., et al.
Publicado: (2025)