Browse State-of-the-Art › Operator learning › Papers, page 3

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 3 of 4: papers 201 to 300 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.

• Solving the Electrical Impedance Tomography Problem with a DeepONet Type Neural Network: Theory and Application
  24 Jul 2024 0 repositories listed
• A Resolution Independent Neural Operator
  17 Jul 2024 0 repositories listed
• Dilated convolution neural operator for multiscale partial differential equations
  16 Jul 2024 0 repositories listed
• A fast neural hybrid Newton solver adapted to implicit methods for nonlinear dynamics
  4 Jul 2024 0 repositories listed
• Green Multigrid Network
  4 Jul 2024 0 repositories listed
• Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning
  30 Jun 2024 0 repositories listed
• Operator Learning of Lipschitz Operators: An Information-Theoretic Perspective
  26 Jun 2024 0 repositories listed
• Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone
  24 Jun 2024 0 repositories listed
• Optimal deep learning of holomorphic operators between Banach spaces
  20 Jun 2024 0 repositories listed
• Projection Methods for Operator Learning and Universal Approximation
  18 Jun 2024 0 repositories listed
• Hamilton-Jacobi Based Policy-Iteration via Deep Operator Learning
  16 Jun 2024 0 repositories listed
• Two-level overlapping additive Schwarz preconditioner for training scientific machine learning applications
  16 Jun 2024 0 repositories listed
• M2NO: Multiresolution Operator Learning with Multiwavelet-based Algebraic Multigrid Method
  7 Jun 2024 0 repositories listed
• Learning the Hodgkin-Huxley Model with Operator Learning Techniques
  4 Jun 2024 0 repositories listed
• Solving Partial Differential Equations in Different Domains by Operator Learning method Based on Boundary Integral Equations
  4 Jun 2024 0 repositories listed
• Physics and geometry informed neural operator network with application to acoustic scattering
  2 Jun 2024 0 repositories listed
• Transformers as Neural Operators for Solutions of Differential Equations with Finite Regularity
  29 May 2024 0 repositories listed
• Deep Koopman Learning using Noisy Data
  26 May 2024 0 repositories listed
• Data Complexity Estimates for Operator Learning
  25 May 2024 0 repositories listed
• FUSE: Fast Unified Simulation and Estimation for PDEs
  23 May 2024 0 repositories listed
• A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains
  21 May 2024 0 repositories listed
• Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
  20 May 2024 0 repositories listed
• Nonparametric Sparse Online Learning of the Koopman Operator
  13 May 2024 0 repositories listed
• Nonparametric Control Koopman Operators
  12 May 2024 0 repositories listed
• Learning Flame Evolution Operator under Hybrid Darrieus Landau and Diffusive Thermal Instability
  11 May 2024 0 repositories listed
• Discretization Error of Fourier Neural Operators
  3 May 2024 0 repositories listed
• MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation
  24 Apr 2024 0 repositories listed
• Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations
  24 Apr 2024 0 repositories listed
• A Hybrid Kernel-Free Boundary Integral Method with Operator Learning for Solving Parametric Partial Differential Equations In Complex Domains
  23 Apr 2024 0 repositories listed
• Learning epidemic trajectories through Kernel Operator Learning: from modelling to optimal control
  17 Apr 2024 0 repositories listed
• Mixture of Experts Soften the Curse of Dimensionality in Operator Learning
  13 Apr 2024 0 repositories listed
• Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks
  3 Apr 2024 0 repositories listed
• MODNO: Multi Operator Learning With Distributed Neural Operators
  3 Apr 2024 0 repositories listed
• Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention
  21 Mar 2024 0 repositories listed
• Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning
  20 Mar 2024 0 repositories listed
• Neural Parameter Regression for Explicit Representations of PDE Solution Operators
  19 Mar 2024 0 repositories listed
• A Pretraining-Finetuning Computational Framework for Material Homogenization
  18 Mar 2024 0 repositories listed
• Uncertainty quantification for deeponets with ensemble kalman inversion
  6 Mar 2024 0 repositories listed
• Dynamic Gaussian Graph Operator: Learning parametric partial differential equations in arbitrary discrete mechanics problems
  5 Mar 2024 0 repositories listed
• A novel data generation scheme for surrogate modelling with deep operator networks
  24 Feb 2024 0 repositories listed
• Operator Learning: Algorithms and Analysis
  24 Feb 2024 0 repositories listed
• Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization
  23 Feb 2024 0 repositories listed
• Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs
  14 Feb 2024 0 repositories listed
• Parametric Learning of Time-Advancement Operators for Unstable Flame Evolution
  14 Feb 2024 0 repositories listed
• Sobolev Training for Operator Learning
  14 Feb 2024 0 repositories listed
• Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids
  13 Feb 2024 0 repositories listed
• DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains
  11 Feb 2024 0 repositories listed
• Learning Operators with Stochastic Gradient Descent in General Hilbert Spaces
  7 Feb 2024 0 repositories listed
• Functional SDE approximation inspired by a deep operator network architecture
  5 Feb 2024 0 repositories listed
• Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction
  2 Feb 2024 0 repositories listed
• Unsupervised Solution Operator Learning for Mean-Field Games via Sampling-Invariant Parametrizations
  27 Jan 2024 0 repositories listed
• Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning
  19 Jan 2024 0 repositories listed
• Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations
  4 Jan 2024 0 repositories listed
• Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows
  1 Jan 2024 0 repositories listed
• Operator learning for hyperbolic partial differential equations
  29 Dec 2023 0 repositories listed
• HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
  26 Dec 2023 0 repositories listed
• A Mathematical Guide to Operator Learning
  22 Dec 2023 0 repositories listed
• Operator-learning-inspired Modeling of Neural Ordinary Differential Equations
  16 Dec 2023 0 repositories listed
• Local monotone operator learning using non-monotone operators: MnM-MOL
  1 Dec 2023 0 repositories listed
• Data-efficient operator learning for solving high Mach number fluid flow problems
  28 Nov 2023 0 repositories listed
• A Physics-Guided Bi-Fidelity Fourier-Featured Operator Learning Framework for Predicting Time Evolution of Drag and Lift Coefficients
  7 Nov 2023 0 repositories listed
• Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows
  31 Oct 2023 0 repositories listed
• Operator Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations Characterized by Sharp Solutions
  30 Oct 2023 0 repositories listed
• A foundational neural operator that continuously learns without forgetting
  29 Oct 2023 0 repositories listed
• Adaptive operator learning for infinite-dimensional Bayesian inverse problems
  27 Oct 2023 0 repositories listed
• MgNO: Efficient Parameterization of Linear Operators via Multigrid
  16 Oct 2023 0 repositories listed
• Waveformer for modelling dynamical systems
  8 Oct 2023 0 repositories listed
• Spectral operator learning for parametric PDEs without data reliance
  3 Oct 2023 0 repositories listed
• Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods
  2 Oct 2023 0 repositories listed
• Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs
  29 Sep 2023 0 repositories listed
• DPA-WNO: A gray box model for a class of stochastic mechanics problem
  24 Sep 2023 0 repositories listed
• AI Foundation Models for Weather and Climate: Applications, Design, and Implementation
  19 Sep 2023 0 repositories listed
• Scattering with Neural Operators
  28 Aug 2023 0 repositories listed
• Reduced Order Modeling of a MOOSE-based Advanced Manufacturing Model with Operator Learning
  18 Aug 2023 0 repositories listed
• Fast and Accurate Reduced-Order Modeling of a MOOSE-based Additive Manufacturing Model with Operator Learning
  4 Aug 2023 0 repositories listed
• Real-time Inference and Extrapolation via a Diffusion-inspired Temporal Transformer Operator (DiTTO)
  18 Jul 2023 0 repositories listed
• Accelerated primal-dual methods with enlarged step sizes and operator learning for nonsmooth optimal control problems
  1 Jul 2023 0 repositories listed
• Koopman operator learning using invertible neural networks
  30 Jun 2023 0 repositories listed
• The Parametric Complexity of Operator Learning
  28 Jun 2023 0 repositories listed
• Energy-Dissipative Evolutionary Deep Operator Neural Networks
  9 Jun 2023 0 repositories listed
• Globally injective and bijective neural operators
  6 Jun 2023 0 repositories listed
• Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles
  1 Jun 2023 0 repositories listed
• Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
  1 Jun 2023 0 repositories listed
• Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
  31 May 2023 0 repositories listed
• Implicit Transfer Operator Learning: Multiple Time-Resolution Surrogates for Molecular Dynamics
  29 May 2023 0 repositories listed Syntology 7 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 8 harvested samples)
• Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives
  15 May 2023 0 repositories listed
• Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution
  12 May 2023 0 repositories listed
• Nonlocality and Nonlinearity Implies Universality in Operator Learning
  26 Apr 2023 0 repositories listed
• Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems
  15 Apr 2023 0 repositories listed
• Accelerated parallel MRI using memory efficient and robust monotone operator learning (MOL)
  3 Apr 2023 0 repositories listed
• Operator learning with PCA-Net: upper and lower complexity bounds
  28 Mar 2023 0 repositories listed
• Multiscale Attention via Wavelet Neural Operators for Vision Transformers
  22 Mar 2023 0 repositories listed
• Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data
  20 Mar 2023 0 repositories listed
• ViTO: Vision Transformer-Operator
  15 Mar 2023 0 repositories listed
• Neural Operator Learning for Long-Time Integration in Dynamical Systems with Recurrent Neural Networks
  3 Mar 2023 0 repositories listed
• Variational Autoencoding Neural Operators
  20 Feb 2023 0 repositories listed
• Fourier-RNNs for Modelling Noisy Physics Data
  13 Feb 2023 0 repositories listed
• Physics informed WNO
  12 Feb 2023 0 repositories listed
• IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning
  7 Feb 2023 0 repositories listed
• An Enhanced V-cycle MgNet Model for Operator Learning in Numerical Partial Differential Equations
  2 Feb 2023 0 repositories listed

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced; each line links to that paper's sample list. Syntology's record for this page has not changed since 2026-09-28, the first build that kept a record date for it; when this build read Syntology's graph is in the build record. For agents: get_harvested_code_for_paper(arxiv_id) lists each paper's samples; how to connect.