operator learning

ECO: Energy-Constrained Operator Learning for Chaotic Dynamics with Boundedness Guarantees L4DC 2026 Learning to Solve PDEs on Neural Shape Representations CVPR 2026 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 An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications AISTATS 2025 CFDONEval: A Comprehensive Evaluation of Operator-Learning Neural Network Models for Computational Fluid Dynamics IJCAI 2025 CViT: Continuous Vision Transformer for Operator Learning ICLR 2025 DONIS: Importance Sampling for Training Physics-Informed DeepONet IJCAI 2025 Geometric Operator Learning with Optimal Transport JMLR 2025 Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space ICML 2025 Infinite-dimensional Diffusion Bridge Simulation via Operator Learning AISTATS 2025 Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems AISTATS 2025 Learning Chaos In A Linear Way ICLR 2025 Learning Dynamical Coupled Operator For High-dimensional Black-box Partial Differential Equations IJCAI 2025 On the Benefits of Active Data Collection in Operator Learning ICML 2025 Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics ICLR 2025 Operator Learning for Hyperbolic PDEs JMLR 2025 Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems ICLR 2025 Alias-Free Mamba Neural Operator NeurIPS 2024 Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning NeurIPS 2024 Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces JMLR 2024 FUSE: Fast Unified Simulation and Estimation for PDEs NeurIPS 2024 Implicit Representations via Operator Learning ICML 2024 Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs AAAI 2024 Learning to Predict Structural Vibrations NeurIPS 2024