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Operator learning

Papers archive 2025-07-28

archive papers tagged: 347 · with a code link: 125 · where Syntology ran a sample: 40 (37 with a run with no instrument failure, 3 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (40 of 347 tagged: 37 with a run with no instrument failure, 3 where every run was a failure of Syntology's instrument)

Page 4 of 4: papers 301 to 347 of 347, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.

Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.

• Randomized prior wavelet neural operator for uncertainty quantification
  2 Feb 2023 0 repositories listed
• Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning
  30 Jan 2023 0 repositories listed
• On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators
  29 Jan 2023 0 repositories listed
• Deep Operator Learning Lessens the Curse of Dimensionality for PDEs
  28 Jan 2023 0 repositories listed
• Neural Inverse Operators for Solving PDE Inverse Problems
  26 Jan 2023 0 repositories listed
• Forecasting subcritical cylinder wakes with Fourier Neural Operators
  19 Jan 2023 0 repositories listed
• Improved generalization with deep neural operators for engineering systems: Path towards digital twin
  17 Jan 2023 0 repositories listed
• An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis
  1 Dec 2022 0 repositories listed
• Bayesian Inversion with Neural Operator (BINO) for Modeling Subdiffusion: Forward and Inverse Problems
  22 Nov 2022 0 repositories listed
• Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis
  24 Oct 2022 0 repositories listed
• Mitigating spectral bias for the multiscale operator learning
  19 Oct 2022 0 repositories listed
• A Kernel Approach for PDE Discovery and Operator Learning
  14 Oct 2022 0 repositories listed
• Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
  3 Oct 2022 0 repositories listed
• Minimax Optimal Kernel Operator Learning via Multilevel Training
  28 Sep 2022 0 repositories listed
• Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator
  25 Sep 2022 0 repositories listed
• Multi-fidelity wavelet neural operator with application to uncertainty quantification
  11 Aug 2022 0 repositories listed
• Neural Basis Functions for Accelerating Solutions to High Mach Euler Equations
  2 Aug 2022 0 repositories listed
• Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers
  23 Jul 2022 0 repositories listed
• opPINN: Physics-Informed Neural Network with operator learning to approximate solutions to the Fokker-Planck-Landau equation
  5 Jul 2022 0 repositories listed
• Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations
  12 Jun 2022 0 repositories listed
• NOMAD: Nonlinear Manifold Decoders for Operator Learning
  7 Jun 2022 0 repositories listed
• Memory-efficient model-based deep learning with convergence and robustness guarantees
  6 Jun 2022 0 repositories listed
• Generic bounds on the approximation error for physics-informed (and) operator learning
  23 May 2022 0 repositories listed
• Variable-Input Deep Operator Networks
  23 May 2022 0 repositories listed
• Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms
  8 May 2022 0 repositories listed
• Wavelet neural operator: a neural operator for parametric partial differential equations
  4 May 2022 0 repositories listed
• Error-in-variables modelling for operator learning
  22 Apr 2022 0 repositories listed
• Multifidelity Deep Operator Networks For Data-Driven and Physics-Informed Problems
  19 Apr 2022 0 repositories listed
• MultiAuto-DeepONet: A Multi-resolution Autoencoder DeepONet for Nonlinear Dimension Reduction, Uncertainty Quantification and Operator Learning of Forward and Inverse Stochastic Problems
  7 Apr 2022 0 repositories listed
• Accelerating Part-Scale Simulation in Liquid Metal Jet Additive Manufacturing via Operator Learning
  2 Feb 2022 0 repositories listed
• Improved Model based Deep Learning using Monotone Operator Learning (MOL)
  22 Nov 2021 0 repositories listed
• Solving PDE-constrained Control Problems Using Operator Learning
  9 Nov 2021 0 repositories listed
• Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators
  29 Sep 2021 0 repositories listed
• Known Operator Learning and Hybrid Machine Learning in Medical Imaging --- A Review of the Past, the Present, and the Future
  10 Aug 2021 0 repositories listed
• One-shot learning for solution operators of partial differential equations
  6 Apr 2021 0 repositories listed
• Learning the Update Operator for 2D/3D Image Registration
  4 Feb 2021 0 repositories listed
• On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators
  28 Jul 2020 0 repositories listed
• Towards Scalable Koopman Operator Learning: Convergence Rates and A Distributed Learning Algorithm
  30 Sep 2019 0 repositories listed
• Analysis of Fast Structured Dictionary Learning
  31 May 2018 0 repositories listed
• Analysis of Fast Alternating Minimization for Structured Dictionary Learning
  1 Feb 2018 0 repositories listed
• Image operator learning coupled with CNN classification and its application to staff line removal
  19 Sep 2017 0 repositories listed
• Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification
  30 Apr 2017 0 repositories listed
• Image Fusion With Cosparse Analysis Operator
  18 Apr 2017 0 repositories listed
• Online and Stable Learning of Analysis Operators
  1 Apr 2017 0 repositories listed
• Separable Cosparse Analysis Operator Learning
  6 Jun 2014 0 repositories listed
• Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs
  13 Jan 2014 0 repositories listed
• Analysis Operator Learning and Its Application to Image Reconstruction
  24 Apr 2012 0 repositories listed