Enregistré dans:
| Auteurs principaux: | Fan, Zhiwei, Pan, Yiming, Coca, Daniel |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2604.11972 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification
par: Lone, Soban Nasir, et autres
Publié: (2024)
par: Lone, Soban Nasir, et autres
Publié: (2024)
Learning Hamiltonian Density Using DeepONet
par: Xu, Baige, et autres
Publié: (2025)
par: Xu, Baige, et autres
Publié: (2025)
BP-DeepONet: A new method for cuffless blood pressure estimation using the physcis-informed DeepONet
par: Li, Lingfeng, et autres
Publié: (2024)
par: Li, Lingfeng, et autres
Publié: (2024)
DeepONet for Solving Nonlinear Partial Differential Equations with Physics-Informed Training
par: Yang, Yahong
Publié: (2024)
par: Yang, Yahong
Publié: (2024)
Ensemble and Mixture-of-Experts DeepONets For Operator Learning
par: Sharma, Ramansh, et autres
Publié: (2024)
par: Sharma, Ramansh, et autres
Publié: (2024)
Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving
par: Kumar, Varun, et autres
Publié: (2024)
par: Kumar, Varun, et autres
Publié: (2024)
Learning Nonlinear Responses in PET Bottle Buckling with a Hybrid DeepONet-Transolver Framework
par: Kumar, Varun, et autres
Publié: (2025)
par: Kumar, Varun, et autres
Publié: (2025)
Improving physics-informed DeepONets with hard constraints
par: Brecht, Rüdiger, et autres
Publié: (2023)
par: Brecht, Rüdiger, et autres
Publié: (2023)
Operator Learning for Consolidation: An Architectural Comparison for DeepONet Variants
par: Choi, Yongjin, et autres
Publié: (2025)
par: Choi, Yongjin, et autres
Publié: (2025)
DeepONet-accelerated Bayesian inversion for moving boundary problems
par: Iglesias, Marco A., et autres
Publié: (2025)
par: Iglesias, Marco A., et autres
Publié: (2025)
Spectral Embedding via Chebyshev Bases for Robust DeepONet Approximation
par: Abid, Muhammad, et autres
Publié: (2025)
par: Abid, Muhammad, et autres
Publié: (2025)
FEDONet : Fourier-Embedded DeepONet for Spectrally Accurate Operator Learning
par: Sojitra, Arth, et autres
Publié: (2025)
par: Sojitra, Arth, et autres
Publié: (2025)
Point-DeepONet: Predicting Nonlinear Fields on Non-Parametric Geometries under Variable Load Conditions
par: Park, Jangseop, et autres
Publié: (2024)
par: Park, Jangseop, et autres
Publié: (2024)
Leveraging Deep Operator Networks (DeepONet) for Acoustic Full Waveform Inversion (FWI)
par: Nath, Kamaljyoti, et autres
Publié: (2025)
par: Nath, Kamaljyoti, et autres
Publié: (2025)
Separable DeepONet: Breaking the Curse of Dimensionality in Physics-Informed Machine Learning
par: Mandl, Luis, et autres
Publié: (2024)
par: Mandl, Luis, et autres
Publié: (2024)
TI-DeepONet: Learnable Time Integration for Stable Long-Term Extrapolation
par: Nayak, Dibyajyoti, et autres
Publié: (2025)
par: Nayak, Dibyajyoti, et autres
Publié: (2025)
DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuning
par: Zhang, Zecheng, et autres
Publié: (2024)
par: Zhang, Zecheng, et autres
Publié: (2024)
NSPOD: Accelerating Krylov solvers via DeepONet-learned POD subspaces
par: Levrero-Florencio, Francesc, et autres
Publié: (2026)
par: Levrero-Florencio, Francesc, et autres
Publié: (2026)
Learning the Helmholtz equation operator with DeepONet for non-parametric 2D geometries
par: Barlogis, Rodolphe, et autres
Publié: (2026)
par: Barlogis, Rodolphe, et autres
Publié: (2026)
Conformalized Quantum DeepONet Ensembles for Scalable Operator Learning with Distribution-Free Uncertainty
par: Matlia, Purav, et autres
Publié: (2026)
par: Matlia, Purav, et autres
Publié: (2026)
SG-DeepONet: Source-generalized deep operator learning for full waveform inversion
par: Guo, Zekai, et autres
Publié: (2024)
par: Guo, Zekai, et autres
Publié: (2024)
DeepONet Augmented by Randomized Neural Networks for Efficient Operator Learning in PDEs
par: Jiang, Zhaoxi, et autres
Publié: (2025)
par: Jiang, Zhaoxi, et autres
Publié: (2025)
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks
par: Moya, Christian, et autres
Publié: (2024)
par: Moya, Christian, et autres
Publié: (2024)
Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification
par: Blechschmidt, Jan, et autres
Publié: (2025)
par: Blechschmidt, Jan, et autres
Publié: (2025)
Efficient and generalizable nested Fourier-DeepONet for three-dimensional geological carbon sequestration
par: Lee, Jonathan E., et autres
Publié: (2024)
par: Lee, Jonathan E., et autres
Publié: (2024)
Topological DeepONets and a generalization of the Chen-Chen operator approximation theorem
par: Ismailov, Vugar
Publié: (2026)
par: Ismailov, Vugar
Publié: (2026)
Quantum AS-DeepOnet: Quantum Attentive Stacked DeepONet for Solving 2D Evolution Equations
par: Wang, Hongquan, et autres
Publié: (2026)
par: Wang, Hongquan, et autres
Publié: (2026)
Physics-informed DeepONet with stiffness-based loss functions for structural response prediction
par: Ahmed, Bilal, et autres
Publié: (2024)
par: Ahmed, Bilal, et autres
Publié: (2024)
Hybrid Least Squares/Gradient Descent Methods for DeepONets
par: Choi, Jun, et autres
Publié: (2025)
par: Choi, Jun, et autres
Publié: (2025)
A Hybrid Conditional Diffusion-DeepONet Framework for High-Fidelity Stress Prediction in Hyperelastic Materials
par: Kota, Purna Vindhya, et autres
Publié: (2026)
par: Kota, Purna Vindhya, et autres
Publié: (2026)
Shock-Aware Physics-Guided Fusion-DeepONet Operator for Rarefied Micro-Nozzle Flows
par: Roohi, Ehsan, et autres
Publié: (2025)
par: Roohi, Ehsan, et autres
Publié: (2025)
Hybrid twinning using PBDW and DeepONet for the effective state estimation and prediction on partially known systems
par: Massala, Stiven Briand, et autres
Publié: (2025)
par: Massala, Stiven Briand, et autres
Publié: (2025)
Physics-Informed DeepONet Coupled with FEM for Convective Transport in Porous Media with Sharp Gaussian Sources
par: Kara, Erdi, et autres
Publié: (2025)
par: Kara, Erdi, et autres
Publié: (2025)
ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines
par: Son, Hwijae
Publié: (2025)
par: Son, Hwijae
Publié: (2025)
Physics-Informed Time-Integrated DeepONet: Temporal Tangent Space Operator Learning for High-Accuracy Inference
par: Mandl, Luis, et autres
Publié: (2025)
par: Mandl, Luis, et autres
Publié: (2025)
Physics-constrained DeepONet for Surrogate CFD models: a curved backward-facing step case
par: Jnini, Anas, et autres
Publié: (2025)
par: Jnini, Anas, et autres
Publié: (2025)
What do physics-informed DeepONets learn? Understanding and improving training for scientific computing applications
par: Williams, Emily, et autres
Publié: (2024)
par: Williams, Emily, et autres
Publié: (2024)
Fusion-DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic and Supersonic Flows
par: Peyvan, Ahmad, et autres
Publié: (2025)
par: Peyvan, Ahmad, et autres
Publié: (2025)
fPINN-DeepONet: A Physics-Informed Operator Learning Framework for Multi-term Time-fractional Mixed Diffusion-wave Equations
par: Lu, Binghang, et autres
Publié: (2026)
par: Lu, Binghang, et autres
Publié: (2026)
Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
par: Zhu, Min, et autres
Publié: (2023)
par: Zhu, Min, et autres
Publié: (2023)
Documents similaires
-
Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification
par: Lone, Soban Nasir, et autres
Publié: (2024) -
Learning Hamiltonian Density Using DeepONet
par: Xu, Baige, et autres
Publié: (2025) -
BP-DeepONet: A new method for cuffless blood pressure estimation using the physcis-informed DeepONet
par: Li, Lingfeng, et autres
Publié: (2024) -
DeepONet for Solving Nonlinear Partial Differential Equations with Physics-Informed Training
par: Yang, Yahong
Publié: (2024) -
Ensemble and Mixture-of-Experts DeepONets For Operator Learning
par: Sharma, Ramansh, et autres
Publié: (2024)