Cover Image

A DeepONet joint Neural Tangent Kernel Hybrid Framework for Physics-Informed Inverse Source Problems and Robust Image Reconstruction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fang, Yuhao, Wang, Zijian, Lu, Yao, Zhang, Ye, Li, Chun
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Diffusion Low Rank Hybrid Reconstruction for Sparse View Medical Imaging
by: Deng, Zongyin, et al.
Published: (2025)

Physics-Informed Time-Integrated DeepONet: Temporal Tangent Space Operator Learning for High-Accuracy Inference
by: Mandl, Luis, et al.
Published: (2025)

Quantum DeepONet: Neural operators accelerated by quantum computing
by: Xiao, Pengpeng, et al.
Published: (2024)

Physics-Informed DeepONet Coupled with FEM for Convective Transport in Porous Media with Sharp Gaussian Sources
by: Kara, Erdi, et al.
Published: (2025)

DeepONet for Solving Nonlinear Partial Differential Equations with Physics-Informed Training
by: Yang, Yahong
Published: (2024)

Separable DeepONet: Breaking the Curse of Dimensionality in Physics-Informed Machine Learning
by: Mandl, Luis, et al.
Published: (2024)

SG-DeepONet: Source-generalized deep operator learning for full waveform inversion
by: Guo, Zekai, et al.
Published: (2024)

The Calderón's problem via DeepONets
by: Castro, Javier, et al.
Published: (2022)

Hybrid DeepONet Surrogates for Multiphase Flow in Porous Media
by: Santos, Ezequiel S., et al.
Published: (2025)

Hybrid Least Squares/Gradient Descent Methods for DeepONets
by: Choi, Jun, et al.
Published: (2025)

DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuning
by: Zhang, Zecheng, et al.
Published: (2024)

DD-DeepONet: Domain decomposition and DeepONet for solving partial differential equations in three application scenarios
by: Yang, Bo, et al.
Published: (2025)

A POD-DeepONet Framework for Forward and Inverse Design of 2D Photonic Crystals
by: Wang, Yueqi, et al.
Published: (2026)

$ϕ-$DeepONet: A Discontinuity Capturing Neural Operator
by: Roy, Sumanta, et al.
Published: (2026)

Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification
by: Blechschmidt, Jan, et al.
Published: (2025)

BP-DeepONet: A new method for cuffless blood pressure estimation using the physcis-informed DeepONet
by: Li, Lingfeng, et al.
Published: (2024)

Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification
by: Lone, Soban Nasir, et al.
Published: (2024)

Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks
by: Moya, Christian, et al.
Published: (2024)

Learning Hamiltonian Density Using DeepONet
by: Xu, Baige, et al.
Published: (2025)

Spectral Embedding via Chebyshev Bases for Robust DeepONet Approximation
by: Abid, Muhammad, et al.
Published: (2025)

Learning Nonlinear Responses in PET Bottle Buckling with a Hybrid DeepONet-Transolver Framework
by: Kumar, Varun, et al.
Published: (2025)

Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving
by: Kumar, Varun, et al.
Published: (2024)

Ensemble and Mixture-of-Experts DeepONets For Operator Learning
by: Sharma, Ramansh, et al.
Published: (2024)

Improving physics-informed DeepONets with hard constraints
by: Brecht, Rüdiger, et al.
Published: (2023)

fPINN-DeepONet: A Physics-Informed Operator Learning Framework for Multi-term Time-fractional Mixed Diffusion-wave Equations
by: Lu, Binghang, et al.
Published: (2026)

A Hybrid Conditional Diffusion-DeepONet Framework for High-Fidelity Stress Prediction in Hyperelastic Materials
by: Kota, Purna Vindhya, et al.
Published: (2026)

DeepONet Augmented by Randomized Neural Networks for Efficient Operator Learning in PDEs
by: Jiang, Zhaoxi, et al.
Published: (2025)

Fine-Tuning DeepONets to Enhance Physics-informed Neural Networks for solving Partial Differential Equations
by: Wu, Sidi
Published: (2024)

DeepONet-accelerated Bayesian inversion for moving boundary problems
by: Iglesias, Marco A., et al.
Published: (2025)

Operator Learning for Consolidation: An Architectural Comparison for DeepONet Variants
by: Choi, Yongjin, et al.
Published: (2025)

Efficient and generalizable nested Fourier-DeepONet for three-dimensional geological carbon sequestration
by: Lee, Jonathan E., et al.
Published: (2024)

Leveraging Deep Operator Networks (DeepONet) for Acoustic Full Waveform Inversion (FWI)
by: Nath, Kamaljyoti, et al.
Published: (2025)

Physics-informed DeepONet with stiffness-based loss functions for structural response prediction
by: Ahmed, Bilal, et al.
Published: (2024)

Soft Actor-Critic with Backstepping-Pretrained DeepONet for control of PDEs
by: Wang, Chenchen, et al.
Published: (2025)

FEDONet : Fourier-Embedded DeepONet for Spectrally Accurate Operator Learning
by: Sojitra, Arth, et al.
Published: (2025)

Efficient FGM optimization with a novel design space and DeepONet
by: Agrawal, Piyush, et al.
Published: (2024)

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems
by: Amin, Fouad M., et al.
Published: (2025)

XI-DeepONet: An operator learning method for elliptic interface problems
by: Bi, Ran, et al.
Published: (2024)

Material-Response-Informed DeepONet and its Application to Polycrystal Stress-strain Prediction in Crystal Plasticity
by: He, Junyan, et al.
Published: (2024)

Hybrid twinning using PBDW and DeepONet for the effective state estimation and prediction on partially known systems
by: Massala, Stiven Briand, et al.
Published: (2025)