conftrace_

operator learning

48 papers

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Co-occurring keywords

partial differential equation (222) neural operator (74) reproducing kernel hilbert space (334) neural network (6616) physics-informed neural network (97) attention mechanism (4001) surrogate model (181) scientific computing (15) deep operator network (4) deep neural network (1803)

Papers

SAOT: An Enhanced Locality-Aware Spectral Transformer for Solving PDEs AAAI 2026
AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries AAAI 2025
Learning Dynamical Coupled Operator For High-dimensional Black-box Partial Differential Equations IJCAI 2025
CFDONEval: A Comprehensive Evaluation of Operator-Learning Neural Network Models for Computational Fluid Dynamics IJCAI 2025
Geometric Operator Learning with Optimal Transport JMLR 2025
Operator Learning for Hyperbolic PDEs JMLR 2025
DONIS: Importance Sampling for Training Physics-Informed DeepONet IJCAI 2025
FUSE: Fast Unified Simulation and Estimation for PDEs NIPS 2024
Optimal deep learning of holomorphic operators between Banach spaces NIPS 2024
Alias-Free Mamba Neural Operator NIPS 2024
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NIPS 2024
Multi-Resolution Active Learning of Fourier Neural Operators AISTATS 2024
PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs IJCAI 2024
Operator learning without the adjoint JMLR 2024
Poseidon: Efficient Foundation Models for PDEs NIPS 2024
Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs AAAI 2024
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning NIPS 2024
Online Infinite-Dimensional Regression: Learning Linear Operators ALT 2024
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces JMLR 2024
Learning to Predict Structural Vibrations NIPS 2024
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery NIPS 2024
GNOT: A General Neural Operator Transformer for Operator Learning ICML 2023
Operator learning with PCA-Net: upper and lower complexity bounds JMLR 2023
Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach ICML 2023
Learning Partial Differential Equations in Reproducing Kernel Hilbert Spaces JMLR 2023