2025 "neural operators" Papers
11 papers found
AneuG-Flow: A Large-Scale Synthetic Dataset of Diverse Intracranial Aneurysm Geometries and Hemodynamics
Wenhao Ding, Yiying Sheng, Simão de Castro et al.
NEURIPS 2025oral
Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators
Wenhan Gao, Ruichen Xu, Yuefan Deng et al.
ICLR 2025poster
18
citations
Infinite Neural Operators: Gaussian processes on functions
Daniel Augusto de Souza, Yuchen Zhu, Jake Cunningham et al.
NEURIPS 2025posterarXiv:2510.16675
1
citations
Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations
Takashi Furuya, Koichi Taniguchi, Satoshi Okuda
ICLR 2025posterarXiv:2410.02151
4
citations
S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation
Junlang Huang, Chen Hao, Li Luo et al.
NEURIPS 2025posterarXiv:2505.11843
Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
Abdolmehdi Behroozi, Chaopeng Shen, Daniel Kifer
ICLR 2025posterarXiv:2505.08740
5
citations
Solving Differential Equations with Constrained Learning
Viggo Moro, Luiz Chamon
ICLR 2025posterarXiv:2410.22796
1
citations
Stochastic Process Learning via Operator Flow Matching
Yaozhong Shi, Zachary Ross, Domniki Asimaki et al.
NEURIPS 2025spotlightarXiv:2501.04126
5
citations
Thompson Sampling in Function Spaces via Neural Operators
Rafael Oliveira, Xuesong Wang, Kian Ming Chai et al.
NEURIPS 2025posterarXiv:2506.21894
Uncertainty-Informed Meta Pseudo Labeling for Surrogate Modeling with Limited Labeled Data
Xingyu Ren, Pengwei Liu, Pengkai Wang et al.
NEURIPS 2025poster
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
Patrick Seifner, Kostadin Cvejoski, Antonia Körner et al.
ICLR 2025posterarXiv:2402.07594
9
citations