Cover Image

Priorconditioned Sparsity-Promoting Projection Methods for Deterministic and Bayesian Linear Inverse Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lindbloom, Jonathan, Pasha, Mirjeta, Glaubitz, Jan, Marzouk, Youssef
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient sampling for sparse Bayesian learning using hierarchical prior normalization
by: Glaubitz, Jan, et al.
Published: (2025)

TRIPs-Py: Techniques for Regularization of Inverse Problems in Python
by: Pasha, Mirjeta, et al.
Published: (2024)

Generalized sparsity-promoting solvers for Bayesian inverse problems: Versatile sparsifying transforms and unknown noise variances
by: Lindbloom, Jonathan, et al.
Published: (2024)

An Efficient Cumulative Edge-Detection Method for Image Reconstruction
by: Okunola, Toluwani, et al.
Published: (2026)

Nonlinear RMM-GKS for Large-Scale Dynamic and Streaming Inverse Problems with Uncertain Forward Operators
by: Okunola, Toluwani, et al.
Published: (2026)

A Scalable Sequential Framework for Dynamic Inverse Problems via Model Parameter Estimation
by: Keating, Aryeh, et al.
Published: (2026)

Efficient Dynamic Image Reconstruction with motion estimation
by: Okunola, Toluwani, et al.
Published: (2025)

A Nodal Discontinuous Galerkin Method with Low-Rank Velocity Space Representation for the Multi-Scale BGK Model
by: Galindo-Olarte, Andres, et al.
Published: (2025)

Tensor Completion with BMD Factor Nuclear Norm Minimization
by: Tian, Fan, et al.
Published: (2024)

Bayesian optimal experimental design with Wasserstein information criteria
by: Helin, Tapio, et al.
Published: (2025)

Complex-Valued Signal Recovery using the Bayesian LASSO
by: Green, Dylan, et al.
Published: (2024)

Sampling through iterated approximation: Gradient-free and multi-fidelity Bayesian inference via transport
by: Sharp, Daniel, et al.
Published: (2026)

Optimal Estimation and Uncertainty Quantification for Stochastic Inverse Problems via Variational Bayesian Methods
by: Song, Ruibiao, et al.
Published: (2025)

Optimized Bayesian Framework for Inverse Heat Transfer Problems Using Reduced Order Methods
by: Bakhshaei, Kabir, et al.
Published: (2024)

Weighted quantization using MMD: From mean field to mean shift via gradient flows
by: Belhadji, Ayoub, et al.
Published: (2025)

Optimal experimental design: Formulations and computations
by: Huan, Xun, et al.
Published: (2024)

Leveraging joint sparsity in hierarchical Bayesian learning
by: Glaubitz, Jan, et al.
Published: (2023)

Score Operator Newton transport
by: Chandramoorthy, Nisha, et al.
Published: (2023)

An Alternating Direction Method of Multipliers for Inverse Lithography Problem
by: Chen, Junqing, et al.
Published: (2022)

Spectral Function Space Learning and Numerical Linear Algebra Networks for Solving Linear Inverse Problems
by: Aspri, Andrea, et al.
Published: (2024)

Optimal Experimental Design of a Moving Sensor for Linear Bayesian Inverse Problems
by: Aretz, Nicole, et al.
Published: (2025)

Inhomogeneous Priors for Bayesian Inverse Problems
by: Afkham, Babak Maboudi, et al.
Published: (2026)

Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices
by: Maurais, Aimee, et al.
Published: (2023)

Preserving linear invariants in ensemble filtering methods
by: Provost, Mathieu Le, et al.
Published: (2024)

On the Non-Linear Integral Equation Approach for an Inverse Boundary Value Problem for the Heat Equation
by: Chapko, Roman, et al.
Published: (2019)

Dynamic Thresholding Algorithm with Memory for Linear Inverse Problems
by: Sun, Zhong-Feng, et al.
Published: (2024)

Bayesian Physics Informed Neural Networks for Linear Inverse problems
by: Mohammad-Djafari, Ali
Published: (2025)

LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport
by: Cao, Lianghao, et al.
Published: (2024)

A Riemannian Gradient Descent Method for the Least Squares Inverse Eigenvalue Problem
by: Riley, Alban Bloor, et al.
Published: (2025)

Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data
by: Ito, Kazufumi, et al.
Published: (2025)

Randomized and Inner-product Free Krylov Methods for Large-scale Inverse Problems
by: Landman, Malena Sabaté, et al.
Published: (2025)

Numerical Approximation and Analysis of the Inverse Robin Problem Using the Kohn-Vogelius Method
by: Burman, Erik, et al.
Published: (2025)

A Local Projection Stabilised HHO Method for the Oseen Problem
by: Mallik, Gouranga, et al.
Published: (2024)

Continuous Linear Finite Element Method for Biharmonic Problems on Surfaces
by: Cai, Ying, et al.
Published: (2024)

Effects of Interpolation Error and Bias on the Random Mesh Finite Element Method for Inverse Problems
by: Poot, Anne, et al.
Published: (2025)

Localized Diffusion Models
by: Gottwald, Georg A., et al.
Published: (2025)

Multi-Level Hybrid Monte Carlo / Deterministic Methods for Particle Transport Problems
by: Novellino, Vincent N., et al.
Published: (2025)

Analysis of Hybrid MC/Deterministic Methods for Transport Problems Based on Low-Order Equations Discretized by Finite Volume Schemes
by: Novellino, Vincent N., et al.
Published: (2024)

A Stable Iterative Direct Sampling Method for Elliptic Inverse Problems with Partial Cauchy Data
by: Jin, Bangti, et al.
Published: (2025)

BIAN: A Deep Learning Method to Solve Inverse Problems Using Only Boundary Information
by: Chen, Feng, et al.
Published: (2025)