:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Beylkin, Gregory
Format:	Preprint
Published:	2024
Subjects:	Numerical Analysis Artificial Intelligence
Online Access:	https://arxiv.org/abs/2411.17729
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A fast algorithm for computing the Boys function
by: Beylkin, Gregory, et al.
Published: (2021)

A practical existence theorem for reduced order models based on convolutional autoencoders
by: Franco, Nicola Rares, et al.
Published: (2024)

Fast algorithms enabling optimization and deep learning for photoacoustic tomography in a circular detection geometry
by: Hauptmann, Andreas, et al.
Published: (2025)

Can ChatGPT implement finite element models for geotechnical engineering applications?
by: Kim, Taegu, et al.
Published: (2025)

GRAFT: Gradient-Aware Fast MaxVol Technique for Dynamic Data Sampling
by: Jha, Ashish, et al.
Published: (2025)

Bayesian Interpolating Neural Network (B-INN): a scalable and reliable Bayesian model for large-scale physical systems
by: Park, Chanwook, et al.
Published: (2026)

Physics-informed diffusion models in spectral space
by: Gallon, Davide, et al.
Published: (2026)

Fast OTSU Thresholding Using Bisection Method
by: Kodathala, Sai Varun
Published: (2025)

Fast convolution solvers using moment-matching
by: Liu, Xin, et al.
Published: (2026)

Physics-informed fine-tuning of foundation models for partial differential equations
by: Medvedev, Vlad, et al.
Published: (2026)

Introduction to optimization methods for training SciML models
by: Kopaničáková, Alena, et al.
Published: (2026)

ODE-DPS: ODE-based Diffusion Posterior Sampling for Inverse Problems in Partial Differential Equation
by: Jiang, Enze, et al.
Published: (2024)

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

A hybrid FEM-PINN method for time-dependent partial differential equations
by: Feng, Xiaodong, et al.
Published: (2024)

Stable Weight Updating: A Key to Reliable PDE Solutions Using Deep Learning
by: Noorizadegan, A., et al.
Published: (2024)

A data-driven learned discretization approach in finite volume schemes for hyperbolic conservation laws and varying boundary conditions
by: de Romémont, Guillaume, et al.
Published: (2024)

Neural Multigrid Architectures
by: Fanaskov, Vladimir
Published: (2024)

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

UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss
by: Wang, Zhichao, et al.
Published: (2025)

On the Well-Posedness of Green's Function Reconstruction via the Kirchhoff-Helmholtz Equation for One-Speed Neutron Diffusion
by: Ponciroli, Roberto
Published: (2025)

Dominance Based Crossover Operator for Evolutionary Multi-objective Algorithms
by: Roudenko, Olga, et al.
Published: (2005)

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

SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning
by: Wang, Hong, et al.
Published: (2025)

Uncertain but Useful: Leveraging CNN Variability into Data Augmentation
by: Gonzalez-Pepe, Inés, et al.
Published: (2025)

Improved Monte Carlo tree search formulation with multiple root nodes for discrete sizing optimization of truss structures
by: Ko, Fu-Yao, et al.
Published: (2023)

AI Assistants to Enhance and Exploit the PETSc Knowledge Base
by: Smith, Barry, et al.
Published: (2025)

Robust Physics-Guided Diffusion for Full-Waveform Inversion
by: Peng, Jishen, et al.
Published: (2026)

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

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

Data efficient surrogate modeling for engineering design: Ensemble-free batch mode deep active learning for regression
by: Kapoor, Sarthak, et al.
Published: (2022)

Fast convolution solver based on far-field smooth approximation
by: Liu, Xin, et al.
Published: (2025)

Learning phase-space flows using time-discrete implicit Runge-Kutta PINNs
by: Corral, Álvaro Fernández, et al.
Published: (2024)

A direct optimization algorithm for input-constrained MPC
by: Wu, Liang, et al.
Published: (2023)

Acceptance or Rejection of Lots while Minimizing and Controlling Type I and Type II Errors
by: Ursini, Edson Luiz, et al.
Published: (2025)

Fast Neural Tangent Kernel Alignment, Norm and Effective Rank via Trace Estimation
by: Hazelden, James
Published: (2025)

Numerical algorithm for the space-time fractional Fokker-Planck system with two internal states
by: Nie, Daxin, et al.
Published: (2019)

Fast algorithms for convolution quadrature of Riemann-Liouville fractional derivative
by: Sun, Jing, et al.
Published: (2019)

Learning geometry-dependent lead-field operators for forward ECG modeling
by: Dokuchaev, Arsenii, et al.
Published: (2026)

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

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning
by: Berner, Julius, et al.
Published: (2025)