Functional normalizing flow for statistical inverse problems of partial differential equations
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Yang, Lu, Haoyu, Jia, Junxiong, Zhou, Tao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Non-centered parametric variational Bayes' approach for hierarchical inverse problems of partial differential equations
by: Sui, Jiaming, et al.
Published: (2022)
by: Sui, Jiaming, et al.
Published: (2022)
Stein variational gradient descent on infinite-dimensional space and applications to statistical inverse problems
by: Jia, Junxiong, et al.
Published: (2021)
by: Jia, Junxiong, et al.
Published: (2021)
Sequential Monte Carlo with Gaussian Mixture Approximation for Infinite-Dimensional Statistical Inverse Problems
by: Lu, Haoyu, et al.
Published: (2025)
by: Lu, Haoyu, et al.
Published: (2025)
Parameter estimation for partially observed second-order diffusion processes
by: Albrecht, Jan, et al.
Published: (2024)
by: Albrecht, Jan, et al.
Published: (2024)
Tractable Optimal Experimental Design using Transport Maps
by: Koval, Karina, et al.
Published: (2024)
by: Koval, Karina, et al.
Published: (2024)
Adaptive Gaussian Process Regression for Bayesian inverse problems
by: Villani, Paolo, et al.
Published: (2024)
by: Villani, Paolo, et al.
Published: (2024)
A control-oriented approach to optimal sensor placement
by: Madhavan, Madhusudan, et al.
Published: (2025)
by: Madhavan, Madhusudan, et al.
Published: (2025)
Flexible fixed-point iteration and its applications for nonsymmetric algebraic Riccati equations
by: Guo, Zhen-Chen, et al.
Published: (2025)
by: Guo, Zhen-Chen, et al.
Published: (2025)
A Plug-and-Play Method with Inpainting Network for Bayesian Uncertainty Quantification in Imaging
by: Wang, Xiaoyu, et al.
Published: (2023)
by: Wang, Xiaoyu, et al.
Published: (2023)
Shape optimization for piecewise parameter identification in inverse diffusion problems with a single boundary measurement
by: Machida, Manabu, et al.
Published: (2025)
by: Machida, Manabu, et al.
Published: (2025)
Sensitivity-preserving of Fisher Information Matrix through random data down-sampling for experimental design
by: Hellmuth, Kathrin, et al.
Published: (2024)
by: Hellmuth, Kathrin, et al.
Published: (2024)
Nonparametric Prior Learning in Differential Equation Modeling
by: Jia, Junxiong, et al.
Published: (2023)
by: Jia, Junxiong, et al.
Published: (2023)
On the determination of Lagrange Multipliers for a weighted LASSO problem using geometric and convex analysis techniques
by: Giacchi, Gianluca, et al.
Published: (2023)
by: Giacchi, Gianluca, et al.
Published: (2023)
High-order staggered Lagrangian hydrodynamics (II) : the artificial viscosity and hourglass control algorithm
by: Sun, Zhiyuan, et al.
Published: (2025)
by: Sun, Zhiyuan, et al.
Published: (2025)
A Thermodynamically Consistent High-Order Framework for Staggered Lagrangian Hydrodynamics
by: Sun, Zhiyuan, et al.
Published: (2025)
by: Sun, Zhiyuan, et al.
Published: (2025)
Computational modeling of microstructure
by: Luskin, Mitchell
Published: (2003)
by: Luskin, Mitchell
Published: (2003)
Condition numbers for the Moore-Penrose inverse and the least squares problem involving rank-structured matrices
by: Ahmad, Sk. Safique, et al.
Published: (2023)
by: Ahmad, Sk. Safique, et al.
Published: (2023)
On the analysis of spectral deferred corrections for differential-algebraic equations of index one
by: Bolten, Matthias, et al.
Published: (2026)
by: Bolten, Matthias, et al.
Published: (2026)
Quasi-Monte Carlo and importance sampling methods for Bayesian inverse problems
by: He, Zhijian, et al.
Published: (2024)
by: He, Zhijian, et al.
Published: (2024)
An Eikonal Approach for Globally Optimal Free Flight Trajectories
by: Borndörfer, Ralf, et al.
Published: (2026)
by: Borndörfer, Ralf, et al.
Published: (2026)
Preconditioned normal equations for solving discretised partial differential equations
by: Lazzarino, Lorenzo, et al.
Published: (2025)
by: Lazzarino, Lorenzo, et al.
Published: (2025)
Convergence analysis of controlled particle systems arising in deep learning: from finite to infinite sample size
by: Liao, Huafu, et al.
Published: (2024)
by: Liao, Huafu, et al.
Published: (2024)
A class of Discontinuous Galerkin methods for nonlinear variational problems
by: Grekas, Georgios, et al.
Published: (2023)
by: Grekas, Georgios, et al.
Published: (2023)
Mixed finite element methods for elliptic obstacle problems
by: Führer, Thomas, et al.
Published: (2024)
by: Führer, Thomas, et al.
Published: (2024)
Quasi-Monte Carlo for Bayesian design of experiment problems governed by parametric PDEs
by: Kaarnioja, Vesa, et al.
Published: (2024)
by: Kaarnioja, Vesa, et al.
Published: (2024)
The Pseudoinverse of $A=CR$ is $A^+=R^+C^+$ (?)
by: Karpowicz, Michał P., et al.
Published: (2023)
by: Karpowicz, Michał P., et al.
Published: (2023)
Error analysis for a Crouzeix-Raviart approximation of the $p$-Dirichlet problem
by: Kaltenbach, Alex
Published: (2022)
by: Kaltenbach, Alex
Published: (2022)
Variational problems with gradient constraints: $\textit{A priori}$ and $\textit{a posteriori}$ error identities
by: Antil, Harbir, et al.
Published: (2024)
by: Antil, Harbir, et al.
Published: (2024)
Krylov iterative methods for linear least squares problems with linear equality constraints
by: Li, Haibo
Published: (2025)
by: Li, Haibo
Published: (2025)
Error analysis for parabolic optimal control problems with measure data in a nonconvex polygonal domain
by: Shakya, Pratibha
Published: (2021)
by: Shakya, Pratibha
Published: (2021)
Using $LDL^{T}$ factorizations in Newton's method for solving general large-scale algebraic Riccati equations
by: Saak, Jens, et al.
Published: (2024)
by: Saak, Jens, et al.
Published: (2024)
Tensor finite elements for smectic liquid crystals
by: Führer, Thomas, et al.
Published: (2025)
by: Führer, Thomas, et al.
Published: (2025)
Maximum a posteriori testing in statistical inverse problems
by: Kretschmann, Remo, et al.
Published: (2024)
by: Kretschmann, Remo, et al.
Published: (2024)
Nonlinear Schwarz methods to compute geodesics on manifolds
by: Sutti, Marco, et al.
Published: (2024)
by: Sutti, Marco, et al.
Published: (2024)
Finite-Element Discretization of Static Hamilton-Jacobi Equations Based on a Local Variational Principle
by: Bornemann, Folkmar, et al.
Published: (2004)
by: Bornemann, Folkmar, et al.
Published: (2004)
Quasi-optimality of the Crouzeix-Raviart FEM for p-Laplace-type problems
by: Storn, Johannes
Published: (2025)
by: Storn, Johannes
Published: (2025)
FEAST for differential eigenvalue problems
by: Horning, Andrew, et al.
Published: (2019)
by: Horning, Andrew, et al.
Published: (2019)
Universal Approximation of Dynamical Systems by Semi-Autonomous Neural ODEs and Applications
by: Li, Ziqian, et al.
Published: (2024)
by: Li, Ziqian, et al.
Published: (2024)
High-Performance Variance-Covariance Matrix Construction Using an Uncentered Gram Formulation
by: Reichel, Felix
Published: (2025)
by: Reichel, Felix
Published: (2025)
Matrix-oriented FEM formulation for stationary and time-dependent PDEs on x-normal domains
by: Frittelli, Massimo, et al.
Published: (2021)
by: Frittelli, Massimo, et al.
Published: (2021)
Similar Items
-
Non-centered parametric variational Bayes' approach for hierarchical inverse problems of partial differential equations
by: Sui, Jiaming, et al.
Published: (2022) -
Stein variational gradient descent on infinite-dimensional space and applications to statistical inverse problems
by: Jia, Junxiong, et al.
Published: (2021) -
Sequential Monte Carlo with Gaussian Mixture Approximation for Infinite-Dimensional Statistical Inverse Problems
by: Lu, Haoyu, et al.
Published: (2025) -
Parameter estimation for partially observed second-order diffusion processes
by: Albrecht, Jan, et al.
Published: (2024) -
Tractable Optimal Experimental Design using Transport Maps
by: Koval, Karina, et al.
Published: (2024)