Uncertainty quantification for deeponets with ensemble kalman inversion
Fuente:
arXiv
Guardado en:
| Autores principales: | Pensoneault, Andrew, Zhu, Xueyu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Physics Informed Machine Learning (PIML) methods for estimating the remaining useful lifetime (RUL) of aircraft engines
por: Nagaraj, Sriram, et al.
Publicado: (2024)
por: Nagaraj, Sriram, et al.
Publicado: (2024)
Study on a Fast Solver for Combined Field Integral Equations of 3D Conducting Bodies Based on Graph Neural Networks
por: Shan, Tao, et al.
Publicado: (2025)
por: Shan, Tao, et al.
Publicado: (2025)
FastLRNR and Sparse Physics Informed Backpropagation
por: Cho, Woojin, et al.
Publicado: (2024)
por: Cho, Woojin, et al.
Publicado: (2024)
Learning Low Rank Neural Representations of Hyperbolic Wave Dynamics from Data
por: Cho, Woojin, et al.
Publicado: (2025)
por: Cho, Woojin, et al.
Publicado: (2025)
HomPINNs: homotopy physics-informed neural networks for solving the inverse problems of nonlinear differential equations with multiple solutions
por: Zheng, Haoyang, et al.
Publicado: (2023)
por: Zheng, Haoyang, et al.
Publicado: (2023)
Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators
por: Herb, Julius, et al.
Publicado: (2025)
por: Herb, Julius, et al.
Publicado: (2025)
Energy-Conserving Neural Network Closure Model for Long-Time Accurate and Stable LES
por: van Gastelen, Toby, et al.
Publicado: (2025)
por: van Gastelen, Toby, et al.
Publicado: (2025)
Classification and detection of multiple UAVs using rational Gaussian wavelet neural networks
por: Gergő, Ungvári, et al.
Publicado: (2026)
por: Gergő, Ungvári, et al.
Publicado: (2026)
Multilevel Training for Kolmogorov Arnold Networks
por: Southworth, Ben S., et al.
Publicado: (2026)
por: Southworth, Ben S., et al.
Publicado: (2026)
A two-step surrogate method for sequential uncertainty quantification in high-dimensional inverse problems
por: Yang, Ningxin, et al.
Publicado: (2024)
por: Yang, Ningxin, et al.
Publicado: (2024)
Graph-Instructed Neural Networks for Sparse Grid-Based Discontinuity Detectors
por: Della Santa, Francesco, et al.
Publicado: (2024)
por: Della Santa, Francesco, et al.
Publicado: (2024)
Advanced Physics-Informed Neural Network with Residuals for Solving Complex Integral Equations
por: Moghaddam, Mahdi Movahedian, et al.
Publicado: (2025)
por: Moghaddam, Mahdi Movahedian, et al.
Publicado: (2025)
Trajectory learning for ensemble forecasts via the continuous ranked probability score: a Lorenz '96 case study
por: Ephrati, Sagy, et al.
Publicado: (2025)
por: Ephrati, Sagy, et al.
Publicado: (2025)
On the accuracy of interpolation based on single-layer artificial neural networks with a focus on defeating the Runge phenomenon
por: Auricchio, Ferdinando, et al.
Publicado: (2023)
por: Auricchio, Ferdinando, et al.
Publicado: (2023)
Hybrid Least Squares/Gradient Descent Methods for DeepONets
por: Choi, Jun, et al.
Publicado: (2025)
por: Choi, Jun, et al.
Publicado: (2025)
Mixed Precision Training of Neural ODEs
por: Celledoni, Elena, et al.
Publicado: (2025)
por: Celledoni, Elena, et al.
Publicado: (2025)
On Stochastic Rounding with Few Random Bits
por: Fitzgibbon, Andrew, et al.
Publicado: (2025)
por: Fitzgibbon, Andrew, et al.
Publicado: (2025)
A Practical Approach to Causal Inference over Time
por: Cinquini, Martina, et al.
Publicado: (2024)
por: Cinquini, Martina, et al.
Publicado: (2024)
Sparse $L^1$-Autoencoders for Scientific Data Compression
por: Chung, Matthias, et al.
Publicado: (2024)
por: Chung, Matthias, et al.
Publicado: (2024)
Graph Neural Networks for Emulation of Finite-Element Ice Dynamics in Greenland and Antarctic Ice Sheets
por: Koo, Younghyun, et al.
Publicado: (2024)
por: Koo, Younghyun, et al.
Publicado: (2024)
Neural Operators with Localized Integral and Differential Kernels
por: Liu-Schiaffini, Miguel, et al.
Publicado: (2024)
por: Liu-Schiaffini, Miguel, et al.
Publicado: (2024)
Paired Autoencoders for Likelihood-free Estimation in Inverse Problems
por: Chung, Matthias, et al.
Publicado: (2024)
por: Chung, Matthias, et al.
Publicado: (2024)
Operator learning without the adjoint
por: Boullé, Nicolas, et al.
Publicado: (2024)
por: Boullé, Nicolas, et al.
Publicado: (2024)
Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation
por: Singh, Ashutosh, et al.
Publicado: (2024)
por: Singh, Ashutosh, et al.
Publicado: (2024)
Observation-specific explanations through scattered data approximation
por: Ghidini, Valentina, et al.
Publicado: (2024)
por: Ghidini, Valentina, et al.
Publicado: (2024)
Mixture of Experts Softens the Curse of Dimensionality in Operator Learning
por: Kratsios, Anastasis, et al.
Publicado: (2024)
por: Kratsios, Anastasis, et al.
Publicado: (2024)
Advancing the Understanding of Fixed Point Iterations in Deep Neural Networks: A Detailed Analytical Study
por: Ke, Yekun, et al.
Publicado: (2024)
por: Ke, Yekun, et al.
Publicado: (2024)
Low-Rank Adversarial PGD Attack
por: Savostianova, Dayana, et al.
Publicado: (2024)
por: Savostianova, Dayana, et al.
Publicado: (2024)
Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
por: Zhou, Hang, et al.
Publicado: (2024)
por: Zhou, Hang, et al.
Publicado: (2024)
Deep Learning-Enhanced Preconditioning for Efficient Conjugate Gradient Solvers in Large-Scale PDE Systems
por: Li, Rui, et al.
Publicado: (2024)
por: Li, Rui, et al.
Publicado: (2024)
FAST: Factorizable Attention for Speeding up Transformers
por: Gerami, Armin, et al.
Publicado: (2024)
por: Gerami, Armin, et al.
Publicado: (2024)
AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures
por: Gao, Yihang, et al.
Publicado: (2024)
por: Gao, Yihang, et al.
Publicado: (2024)
Graph Neural Network as Computationally Efficient Emulator of Ice-sheet and Sea-level System Model (ISSM)
por: Koo, Younghyun, et al.
Publicado: (2024)
por: Koo, Younghyun, et al.
Publicado: (2024)
P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
por: Wang, Qi, et al.
Publicado: (2024)
por: Wang, Qi, et al.
Publicado: (2024)
A practical existence theorem for reduced order models based on convolutional autoencoders
por: Franco, Nicola Rares, et al.
Publicado: (2024)
por: Franco, Nicola Rares, et al.
Publicado: (2024)
Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization
por: Bhatta, Kshitij, et al.
Publicado: (2024)
por: Bhatta, Kshitij, et al.
Publicado: (2024)
Towards Faster Matrix Diagonalization with Graph Isomorphism Networks and the AlphaZero Framework
por: Zollicoffer, Geigh, et al.
Publicado: (2024)
por: Zollicoffer, Geigh, et al.
Publicado: (2024)
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling
por: Wang, Hong, et al.
Publicado: (2024)
por: Wang, Hong, et al.
Publicado: (2024)
Physics-Informed Neural Networks for High-Frequency and Multi-Scale Problems using Transfer Learning
por: Mustajab, Abdul Hannan, et al.
Publicado: (2024)
por: Mustajab, Abdul Hannan, et al.
Publicado: (2024)
PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws
por: Yang, Liu, et al.
Publicado: (2024)
por: Yang, Liu, et al.
Publicado: (2024)
Ejemplares similares
-
Physics Informed Machine Learning (PIML) methods for estimating the remaining useful lifetime (RUL) of aircraft engines
por: Nagaraj, Sriram, et al.
Publicado: (2024) -
Study on a Fast Solver for Combined Field Integral Equations of 3D Conducting Bodies Based on Graph Neural Networks
por: Shan, Tao, et al.
Publicado: (2025) -
FastLRNR and Sparse Physics Informed Backpropagation
por: Cho, Woojin, et al.
Publicado: (2024) -
Learning Low Rank Neural Representations of Hyperbolic Wave Dynamics from Data
por: Cho, Woojin, et al.
Publicado: (2025) -
HomPINNs: homotopy physics-informed neural networks for solving the inverse problems of nonlinear differential equations with multiple solutions
por: Zheng, Haoyang, et al.
Publicado: (2023)