Dropout Ensemble Kalman inversion for high dimensional inverse problems
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Shuigen, Reich, Sebastian, Tong, Xin T. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
EnKSGD: A Class Of Preconditioned Black Box Optimization And Inversion Algorithms
by: Irwin, Brian, et al.
Published: (2023)
by: Irwin, Brian, et al.
Published: (2023)
Projected Newton method for large-scale Bayesian linear inverse problems
by: Li, Haibo
Published: (2024)
by: Li, Haibo
Published: (2024)
Spectral conjugate gradient projection methods for large-scale monotone equations without Lipschitz continuity
by: Hamiss, Kabenge, et al.
Published: (2026)
by: Hamiss, Kabenge, et al.
Published: (2026)
Inf-Sup neural networks for high-dimensional elliptic PDE problems
by: Huo, Xiaokai, et al.
Published: (2024)
by: Huo, Xiaokai, et al.
Published: (2024)
A simple and efficient convex optimization based bound-preserving high order accurate limiter for Cahn-Hilliard-Navier-Stokes system
by: Liu, Chen, et al.
Published: (2023)
by: Liu, Chen, et al.
Published: (2023)
Efficient Admissible Set Projection in Optimization-based Invariant-Domain-Preserving Limiters for Ideal MHD
by: Liu, Chen, et al.
Published: (2026)
by: Liu, Chen, et al.
Published: (2026)
Efficient optimization-based invariant-domain-preserving limiters in solving gas dynamics equations
by: Liu, Chen, et al.
Published: (2025)
by: Liu, Chen, et al.
Published: (2025)
CUQIpy: II. Computational uncertainty quantification for PDE-based inverse problems in Python
by: Alghamdi, Amal M A, et al.
Published: (2023)
by: Alghamdi, Amal M A, et al.
Published: (2023)
Convergence rates for random feature neural network approximation in molecular dynamics
by: Huang, Xin, et al.
Published: (2024)
by: Huang, Xin, et al.
Published: (2024)
A novel numerical method tailored for unconstrained optimization problems
by: Li, Lin, et al.
Published: (2025)
by: Li, Lin, et al.
Published: (2025)
Accuracy and Relationships of Quadratic Models in Derivative-free Optimization
by: Chen, Yiwen, et al.
Published: (2026)
by: Chen, Yiwen, et al.
Published: (2026)
Numerical reconstructions of a source term in a mobile-immobile diffusion model from the partial interior observation
by: Yang, Zhiwei, et al.
Published: (2025)
by: Yang, Zhiwei, et al.
Published: (2025)
On the Global Convergence of Particle Swarm Optimization Methods
by: Huang, Hui, et al.
Published: (2022)
by: Huang, Hui, et al.
Published: (2022)
Efficient sampling approaches based on generalized Golub-Kahan methods for large-scale hierarchical Bayesian inverse problems
by: Buser, Elle, et al.
Published: (2025)
by: Buser, Elle, et al.
Published: (2025)
Computing the Proximal Operator of the $q$-th Power of the $\ell_{1,q}$-norm for Group Sparsity
by: Lin, Rongrong, et al.
Published: (2024)
by: Lin, Rongrong, et al.
Published: (2024)
Higher Order Regularization using Harmonic Eigenfunctions for Model-Based Reconstruction in Magnetic Particle Imaging
by: März, Thomas, et al.
Published: (2025)
by: März, Thomas, et al.
Published: (2025)
Debye Relaxation in Model-Based Multi-Dimensional Magnetic Particle Imaging
by: Gapyak, Vladyslav, et al.
Published: (2026)
by: Gapyak, Vladyslav, et al.
Published: (2026)
Reconstructing the dielectric properties of melanoma in 3D using real-life melanoma model
by: Kyhn, Georg, et al.
Published: (2025)
by: Kyhn, Georg, et al.
Published: (2025)
Finite element 3D models of melanoma growth and time-dependent backscattered data for dielectric properties of melanoma at 6 GHz
by: Lindström, Eric, et al.
Published: (2025)
by: Lindström, Eric, et al.
Published: (2025)
CUQIpy: I. Computational uncertainty quantification for inverse problems in Python
by: Riis, Nicolai A B, et al.
Published: (2023)
by: Riis, Nicolai A B, et al.
Published: (2023)
A trust-region funnel algorithm for gray-box optimization
by: Hameed, Gul, et al.
Published: (2025)
by: Hameed, Gul, et al.
Published: (2025)
On the regularization property of Levenberg-Marquardt method with Singular Scaling for nonlinear inverse problems
by: Filippozzi, Rafaela, et al.
Published: (2025)
by: Filippozzi, Rafaela, et al.
Published: (2025)
ASPEN: An Additional Sampling Penalty Method for Finite-Sum Optimization Problems with Nonlinear Equality Constraints
by: Krejić, Nataša, et al.
Published: (2025)
by: Krejić, Nataša, et al.
Published: (2025)
Globally Optimal Solutions to a Class of Fractional Optimization Problems Based on Proximal Gradient Algorithm
by: Lin, Yizun, et al.
Published: (2023)
by: Lin, Yizun, et al.
Published: (2023)
Consensus-Based Optimization Methods Converge Globally
by: Fornasier, Massimo, et al.
Published: (2021)
by: Fornasier, Massimo, et al.
Published: (2021)
Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law
by: Fornasier, Massimo, et al.
Published: (2021)
by: Fornasier, Massimo, et al.
Published: (2021)
Data selection: at the interface of PDE-based inverse problem and randomized linear algebra
by: Hellmuth, Kathrin, et al.
Published: (2025)
by: Hellmuth, Kathrin, et al.
Published: (2025)
Numerical method for abstract Cauchy problem with nonlinear nonlocal condition
by: Makarov, Volodymyr, et al.
Published: (2024)
by: Makarov, Volodymyr, et al.
Published: (2024)
Differential-Equation Constrained Optimization With Stochasticity
by: Li, Qin, et al.
Published: (2023)
by: Li, Qin, et al.
Published: (2023)
Stochastic momentum ADMM for nonconvex and nonsmooth optimization with application to PnP algorithm
by: Deng, Kangkang, et al.
Published: (2025)
by: Deng, Kangkang, et al.
Published: (2025)
Accuracy Boost in Ensemble Kalman Inversion via Ensemble Control Strategies
by: Harris, Ruben, et al.
Published: (2025)
by: Harris, Ruben, et al.
Published: (2025)
Automatic nonstationary anisotropic Tikhonov regularization through bilevel optimization
by: Gazzola, Silvia, et al.
Published: (2024)
by: Gazzola, Silvia, et al.
Published: (2024)
A Majorization-Minimization with Monte Carlo Approach for Hyperparameter Estimation
by: Buser, Elle, et al.
Published: (2026)
by: Buser, Elle, et al.
Published: (2026)
Privacy-Preserving Black-Box Optimization (PBBO): Theory and the Model-Based Algorithm DFOp
by: Xie, Pengcheng
Published: (2025)
by: Xie, Pengcheng
Published: (2025)
Strong Global Convergence of the Consensus-Based Optimization Algorithm
by: Bonandin, Sabrina, et al.
Published: (2025)
by: Bonandin, Sabrina, et al.
Published: (2025)
Adaptive Gradient Enhanced Gaussian Process Surrogates for Inverse Problems
by: Semler, Phillip, et al.
Published: (2024)
by: Semler, Phillip, et al.
Published: (2024)
A simple iterative algorithm for maxcut
by: Shao, Sihong, et al.
Published: (2018)
by: Shao, Sihong, et al.
Published: (2018)
Continuous iterative algorithms for anti-Cheeger cut
by: Shao, Sihong, et al.
Published: (2021)
by: Shao, Sihong, et al.
Published: (2021)
Efficient iterative methods for hyperparameter estimation in large-scale linear inverse problems
by: Hall-Hooper, Khalil A, et al.
Published: (2023)
by: Hall-Hooper, Khalil A, et al.
Published: (2023)
Weighted inhomogeneous regularization for inverse problems with indirect and incomplete measurement data
by: Choi, Bosu, et al.
Published: (2023)
by: Choi, Bosu, et al.
Published: (2023)
Similar Items
-
EnKSGD: A Class Of Preconditioned Black Box Optimization And Inversion Algorithms
by: Irwin, Brian, et al.
Published: (2023) -
Projected Newton method for large-scale Bayesian linear inverse problems
by: Li, Haibo
Published: (2024) -
Spectral conjugate gradient projection methods for large-scale monotone equations without Lipschitz continuity
by: Hamiss, Kabenge, et al.
Published: (2026) -
Inf-Sup neural networks for high-dimensional elliptic PDE problems
by: Huo, Xiaokai, et al.
Published: (2024) -
A simple and efficient convex optimization based bound-preserving high order accurate limiter for Cahn-Hilliard-Navier-Stokes system
by: Liu, Chen, et al.
Published: (2023)