Imagen de Portada

The Gaussian Latent Machine: Efficient Prior and Posterior Sampling for Inverse Problems

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kuric, Muhamed, Zach, Martin, Habring, Andreas, Unser, Michael, Pock, Thomas
Formato:	Preprint
Publicado:	2025
Materias:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning 65C40, 65C05, 68U10, 65C60
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Diffusion at Absolute Zero: Langevin Sampling using Successive Moreau Envelopes [journal paper]
por: Habring, Andreas, et al.
Publicado: (2025)

Subgradient Langevin Methods for Sampling from Non-smooth Potentials
por: Habring, Andreas, et al.
Publicado: (2023)

Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging
por: Narnhofer, Dominik, et al.
Publicado: (2022)

An Inertial Langevin Algorithm
por: Falk, Alexander, et al.
Publicado: (2025)

Forward-KL Convergence of Time-Inhomogeneous Langevin Diffusions
por: Habring, Andreas, et al.
Publicado: (2026)

Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes [conference paper]
por: Habring, Andreas, et al.
Publicado: (2025)

On the Time Derivative of the KL Divergence for a Generalized Langevin Annealing Scheme
por: Habring, Andreas
Publicado: (2025)

Deep Learning without Global Optimization by Random Fourier Neural Networks
por: Davis, Owen, et al.
Publicado: (2024)

Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems
por: Klatzer, Teresa, et al.
Publicado: (2025)

A high-order recombination algorithm for weak approximation of stochastic differential equations
por: Ninomiya, Syoiti, et al.
Publicado: (2025)

Sampling Strategies in Bayesian Inversion: A Study of RTO and Langevin Methods
por: Laumont, Remi, et al.
Publicado: (2024)

Hadamard Langevin dynamics for sampling the l1-prior
por: Cheltsov, Ivan, et al.
Publicado: (2024)

Convergence of kinetic Langevin samplers for non-convex potentials
por: Schuh, Katharina, et al.
Publicado: (2024)

Polynomial Mixing Times of Simulated Tempering for Mixture Targets by Conductance Decomposition
por: Zhou, Quan
Publicado: (2025)

Spectral Gap of Metropolis Algorithms for Non-smooth Distributions under Isoperimetry
por: Liu, Shuigen, et al.
Publicado: (2026)

Skew-symmetric schemes for stochastic differential equations with non-Lipschitz drift: an unadjusted Barker algorithm
por: Iguchi, Yuga, et al.
Publicado: (2024)

Convergence proofs and strong error bounds for forward-backward stochastic differential equations using neural network simulations
por: Sheridan-Methven, Oliver
Publicado: (2024)

Ensemble-Based Annealed Importance Sampling
por: Chen, Haoxuan, et al.
Publicado: (2024)

Convergence of Langevin AIS for multimodal distributions
por: Agarwal, Akshat, et al.
Publicado: (2026)

Diffusive Scaling Limits of Forward Event-Chain Monte Carlo: Provably Efficient Exploration with Partial Refreshment
por: Shiba, Hirofumi, et al.
Publicado: (2026)

Theoretical guarantees for stochastic gradient sampling methods via Gaussian convolution inequalities
por: Paulin, Daniel, et al.
Publicado: (2026)

Mixing time of the conditional backward sampling particle filter
por: Karjalainen, Joona, et al.
Publicado: (2023)

Taming Score-Based Diffusion Priors for Infinite-Dimensional Nonlinear Inverse Problems
por: Baldassari, Lorenzo, et al.
Publicado: (2024)

A Fast Monte Carlo algorithm for evaluating matrix functions with application in complex networks
por: Guidotti, Nicolas L., et al.
Publicado: (2023)

Sample-wise Constrained Learning via a Sequential Penalty Approach with Applications in Image Processing
por: Lanzillotta, Francesca, et al.
Publicado: (2026)

Finite Sample Bounds for Sequential Monte Carlo and Adaptive Path Selection Using the $L_2$ Norm
por: Marion, Joe, et al.
Publicado: (2018)

FlexTrace: Exchangeable Randomized Trace Estimation for Matrix Functions
por: Madhavan, Madhusudan, et al.
Publicado: (2026)

A Langevin sampling algorithm inspired by the Adam optimizer
por: Leimkuhler, Benedict, et al.
Publicado: (2025)

Multilevel Importance Sampling for Rare Events Associated With the McKean--Vlasov Equation
por: Rached, Nadhir Ben, et al.
Publicado: (2022)

Matrix Pre-orthogonal Matching Pursuit and Pseudo-Inverse
por: Qu, Wei, et al.
Publicado: (2024)

Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling
por: Klatzer, Teresa, et al.
Publicado: (2023)

Milstein-type schemes for McKean-Vlasov SDEs driven by Brownian motion and Poisson random measure (with super-linear coefficients)
por: Biswas, Sani, et al.
Publicado: (2024)

Noise-induced enhancement of regime lifetimes -- A data-driven approach using deterministic trajectories
por: Schoeller, Henry, et al.
Publicado: (2026)

The Pearson IV distribution: Random variate generation and applications
por: Devroye, Luc, et al.
Publicado: (2026)

Rapid convergence of tempering chains to multimodal Gibbs measures
por: Son, Seungjae
Publicado: (2026)

Solving the Poisson equation using coupled Markov chains
por: Douc, Randal, et al.
Publicado: (2022)

Modeling Tennis In-Match Momentum Using Probability Method
por: Graves, Jackson, et al.
Publicado: (2025)

Convergence for adaptive resampling of random Fourier features
por: Huang, Xin, et al.
Publicado: (2025)

Convergence and non-asymptotic error analysis for kinetic Langevin samplers using the exact harmonic Langevin integrator
por: Schuh, Katharina
Publicado: (2026)

On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent
por: Laumont, Rémi, et al.
Publicado: (2022)