Imagen de Portada

Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Jia, Junxiong, Wu, Yanni, Li, Peijun, Meng, Deyu
Formato:	Preprint
Publicado:	2022
Materias:	Numerical Analysis 35R30, 62F15,
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Determination of a Small Elliptical Anomaly in Electrical Impedance Tomography using Minimal Measurements
por: Chen, Gaoming, et al.
Publicado: (2024)

Surrogate model for Bayesian optimal experimental design in chromatography
por: Rojo-Garcia, Jose Rodrigo, et al.
Publicado: (2024)

A Bayesian approach to inverse problems in spaces of measures
por: Huynh, Phuoc-Truong
Publicado: (2025)

Stein variational gradient descent on infinite-dimensional space and applications to statistical inverse problems
por: Jia, Junxiong, et al.
Publicado: (2021)

Sequential Monte Carlo with Gaussian Mixture Approximation for Infinite-Dimensional Statistical Inverse Problems
por: Lu, Haoyu, et al.
Publicado: (2025)

A novel viewpoint for Bayesian inversion based on the Poisson point process
por: Deng, Zhiliang, et al.
Publicado: (2025)

Deep Adaptive Dimension Reduction for Bayesian Inference in Inverse Problems
por: Wang, Yueyang, et al.
Publicado: (2026)

Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems
por: Chowdhary, Abhijit, et al.
Publicado: (2023)

On the optimal choice of the illumination function in photoacoustic tomography
por: Huynh, Phuoc-Truong, et al.
Publicado: (2024)

Preserving Nonlinear Constraints in Variational Flow Filtering Data Assimilation
por: Subrahmanya, Amit N., et al.
Publicado: (2024)

Goal oriented optimal design of infinite-dimensional Bayesian inverse problems using quadratic approximations
por: Neuberger, J. Nicholas, et al.
Publicado: (2024)

A Bayesian thinning algorithm for the point source identification of heat equation
por: Deng, Zhiliang, et al.
Publicado: (2025)

Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty
por: Alexanderian, Alen, et al.
Publicado: (2022)

A unified Bayesian inversion approach for a class of tumor growth models with different pressure laws
por: Feng, Yu, et al.
Publicado: (2023)

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems
por: Majee, Sudeb, et al.
Publicado: (2024)

Taylor Approximation Variance Reduction for Approximation Errors in PDE-constrained Bayesian Inverse Problems
por: Nicholson, Ruanui, et al.
Publicado: (2025)

The Bayesian Finite Element Method in Inverse Problems: a Critical Comparison between Probabilistic Models for Discretization Error
por: Poot, Anne, et al.
Publicado: (2025)

Robust optimal design of large-scale Bayesian nonlinear inverse problems
por: Chowdhary, Abhijit, et al.
Publicado: (2024)

Uniform error bounds of the ensemble transform Kalman filter for infinite-dimensional dynamics with multiplicative covariance inflation
por: Takeda, Kota, et al.
Publicado: (2024)

Bayesian D-Optimal Experimental Designs via Column Subset Selection
por: Eswar, Srinivas, et al.
Publicado: (2024)

Markov chain Monte Carlo for Bayesian inference of the non-conducting region in intra-atrial reentrant tachycardia
por: Volkaerts, Maarten, et al.
Publicado: (2026)

Multifidelity sensor placement in Bayesian state estimation problems
por: Ramon, Gabriela, et al.
Publicado: (2026)

Integral Transform Solution of Random Coupled Parabolic Partial Differential Models
por: Casabán, M. -C., et al.
Publicado: (2025)

Posterior contraction rates of computational methods for Bayesian data assimilation
por: Burman, Erik, et al.
Publicado: (2025)

Diffusion Graph Posterior Sampling for Nonlinear Inverse Problems with Application to Electrical Impedance Tomography
por: Alberti, Giovanni S., et al.
Publicado: (2026)

Error analysis of the projected PO method with additive inflation for the partially observed Lorenz 96 model
por: Takeda, Kota
Publicado: (2025)

Mean square error analysis of stochastic gradient and variance-reduced sampling algorithms
por: Lu, Jianfeng, et al.
Publicado: (2025)

The eigenvalue decomposition of normal matrices by the skew-symmetric part
por: Mataigne, Simon, et al.
Publicado: (2024)

The Carleman Contraction Mapping Method for a Coefficient Inverse Problem of the Epidemiology
por: Klibanov, Michael V., et al.
Publicado: (2024)

A Score-based Generative Solver for PDE-constrained Inverse Problems with Complex Priors
por: Hong, Yankun, et al.
Publicado: (2024)

Bayesian inversion for the identification of the doping profile in unipolar semiconductor devices
por: Taghizadeh, Leila, et al.
Publicado: (2024)

Bayesian parameter identification in impedance boundary conditions for Helmholtz problems
por: Wulbusch, Nick, et al.
Publicado: (2023)

Bayesian Formulation of Acousto-Electric Tomography and Quantified Uncertainty in Limited View
por: Schlüter, Hjørdis, et al.
Publicado: (2026)

Model Error Embedding with Orthogonal Gaussian Processes
por: Kuppa, Mridula, et al.
Publicado: (2026)

Posterior contraction under misspecification and heteroscedasticity in non-linear inverse problems
por: Seizilles, Fanny, et al.
Publicado: (2026)

Global Convergence and Uniqueness for an Inverse Problem Posed by Gelfand
por: Klibanov, Michael V., et al.
Publicado: (2026)

A control-oriented approach to optimal sensor placement
por: Madhavan, Madhusudan, et al.
Publicado: (2025)

Multilevel Markov Chain Monte Carlo with likelihood scaling for Bayesian inversion with high-resolution observations
por: Vanmechelen, Pieter, et al.
Publicado: (2024)

On an Inverse Problem of the Generalized Bathtub Model of Network Trip Flows
por: Huang, Kuang, et al.
Publicado: (2024)

Adaptive Gaussian Process Regression for Bayesian inverse problems
por: Villani, Paolo, et al.
Publicado: (2024)