:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mansouri, Reza, Kempton, Dustin, Riley, Pete, Angryk, Rafal
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2511.22112
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Autoregressive Surrogate Modeling of the Solar Wind with Spherical Fourier Neural Operator
by: Mansouri, Reza, et al.
Published: (2025)

FFAD: A Novel Metric for Assessing Generated Time Series Data Utilizing Fourier Transform and Auto-encoder
by: Chen, Yang, et al.
Published: (2024)

Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction
by: Wen, Junzhi, et al.
Published: (2024)

Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions
by: Pandey, Chetraj, et al.
Published: (2023)

Plasma Surrogate Modelling using Fourier Neural Operators
by: Gopakumar, Vignesh, et al.
Published: (2023)

Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting
by: Pandey, Chetraj, et al.
Published: (2024)

Describing the swdatatoolkit: A Space Weather Data Analysis Library
by: Kempton, Dustin, et al.
Published: (2026)

Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation
by: Lehmann, Fanny, et al.
Published: (2023)

Can We Formally Verify Neural PDE Surrogates? SMT Compilation of Small Fourier Neural Operators
by: Baheri, Ali, et al.
Published: (2026)

Neural Operators for Biomedical Spherical Heterogeneity
by: Tang, Hao, et al.
Published: (2026)

Isotropic Fourier Neural Operators
by: Staddon, Michael F.
Published: (2026)

Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
by: Mahesh, Ankur, et al.
Published: (2024)

Generalization of Urban Wind Environment Using Fourier Neural Operator Across Different Wind Directions and Cities
by: Chen, Cheng, et al.
Published: (2025)

Generalized Spherical Neural Operators: Green's Function Formulation
by: Tang, Hao, et al.
Published: (2025)

Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators
by: Mahesh, Ankur, et al.
Published: (2024)

Data-Efficient Time-Dependent PDE Surrogates: Graph Neural Simulators vs. Neural Operators
by: Nayak, Dibyajyoti, et al.
Published: (2025)

Physics-informed Attention-enhanced Fourier Neural Operator for Solar Magnetic Field Extrapolations
by: Cao, Jinghao, et al.
Published: (2025)

Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer
by: Papierz, Mateusz, et al.
Published: (2026)

Toward a Better Understanding of Fourier Neural Operators from a Spectral Perspective
by: Qin, Shaoxiang, et al.
Published: (2024)

Limits of Resolution Equivariance in Fourier Neural Operators
by: Colagrande, Alex, et al.
Published: (2026)

Data-Driven Invertible Neural Surrogates of Atmospheric Transmission
by: Koch, James, et al.
Published: (2024)

Adversarial Autoencoders in Operator Learning
by: Enyeart, Dustin, et al.
Published: (2024)

Meta-Learning Fourier Neural Operators for Hessian Inversion and Enhanced Variational Data Assimilation
by: Moazzami, Hamidreza, et al.
Published: (2025)

Hybrid Neural Representations for Spherical Data
by: Kim, Hyomin, et al.
Published: (2024)

Toward an Operational GNN-Based Multimesh Surrogate for Fast Flood Forecasting
by: Mercier, Valentin, et al.
Published: (2026)

Fourier Neural Operators Explained: A Practical Perspective
by: Duruisseaux, Valentin, et al.
Published: (2025)

Multi-scale Dynamic Wake Modeling and Prediction of Floating Offshore Wind Turbines via Physics-Informed Neural Networks and Fourier Neural Operators
by: Dong, Guodan, et al.
Published: (2026)

Multi-Resolution Active Learning of Fourier Neural Operators
by: Li, Shibo, et al.
Published: (2023)

Bayesian Neural Network Surrogates for Bayesian Optimization of Carbon Capture and Storage Operations
by: Fotias, Sofianos Panagiotis, et al.
Published: (2025)

A Fast and Generalizable Fourier Neural Operator-Based Surrogate for Melt-Pool Prediction in Laser Processing
by: Benoit, Alix, et al.
Published: (2026)

Some Best Practices in Operator Learning
by: Enyeart, Dustin, et al.
Published: (2024)

Structure-Aware Epistemic Uncertainty Quantification for Neural Operator PDE Surrogates
by: Song, Haoze, et al.
Published: (2026)

Quantum Synthetic Data Generation for Industrial Bioprocess Monitoring
by: Gibford, Shawn M., et al.
Published: (2025)

Predicting The Evolution of Interfaces with Fourier Neural Operators
by: Guida, Paolo, et al.
Published: (2025)

Surrogate Modeling for Neutron Transport: A Neural Operator Approach
by: Sahadath, Md Hossain, et al.
Published: (2026)

Learning Neural Operator Surrogates for the Black Hole Accretion Code
by: Nägele, Matthias, et al.
Published: (2026)

Loss Terms and Operator Forms of Koopman Autoencoders
by: Enyeart, Dustin, et al.
Published: (2024)

Geometry Aware Operator Transformer as an Efficient and Accurate Neural Surrogate for PDEs on Arbitrary Domains
by: Wen, Shizheng, et al.
Published: (2025)

FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators
by: Moss, Guy, et al.
Published: (2025)

Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators
by: Matveev, Albert, et al.
Published: (2025)