inverse-problems

Documents about inverse-problems

• Empirical Bayesian Image Restoration by Langevin Sampling with a Denoising Diffusion Implicit Prior#171575HAL (France)
• An optimization tool for inverse problems of multilayered spherical particles#300980HAL (France)
• Data-driven material data identification in micromorphic continua#665123HAL (France)
• Early stopping of stochastic variance reduced gradient for linear inverse problems by the discrepancy principle#1000348arXiv (All)
• Bayesian Inversion of Electrical Resistivity Tomography Data for Uranium Exploration Through a Localized Ensemble‐Based Approach#175741HAL (France)
• Machine Learning Methods for Inverse Problems in Structural Health Monitoring#642220eScholarship
• Inverse Problems for Partial Differential Equations with Jump Discontinuities in Coefficients via Two-Stage Physics-Informed Deep Learning and Statistical Mixture Models#674241arXiv (OAI Expanded)
• Inverse Problems for Partial Differential Equations with Jump Discontinuities in Coefficients via Two-Stage Physics-Informed Deep Learning and Statistical Mixture Models#677438arXiv (All)
• Verifiable Regularity Criterion for Conditional Expectation Operators and Conditional Mean Embeddings with Applications to Nonparametric Regression, Bayesian Inverse Problems, and Koopman Operators#432537arXiv CS
• The Local Graph-Gauge Meromorphic Image of Compatible Renormalized Tail Hierarchies#31377Zenodo (CERN)
• A Hybrid Finite Difference-Polynomial Expansion Method for Parabolic Problem with Unknown Dirichlet Boundary Condition#246848HAL (France)
• Time parallelization and machine learning for optimal control and inverse problems. (Parallélisation en temps et Machine Learning pour le contrôle optimal et les problèmes inverses).#489483DBLP
• DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems#623188arXiv (OAI Expanded)
• DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems#625461arXiv (All)
• Fading regularization method for the stationary Stokes data assimilation problem#665243HAL (France)
• iPINN for Broadband CARS Phase Retrieval: A Framework for Function Approximation and Inverse Modeling Problems in Nonlinear Spectroscopy#820885arXiv (All)
• An extension of the modified constitutive relation error concept for the robust multi-physics offshore wind turbine model calibration from in situ data#205759HAL (France)
• The Gaussian Latent Machine: Efficient Prior and Posterior Sampling for Inverse Problems#144295arXiv (OAI)
• Deep-Learning-Based Approach in Imaging Radiometry by Aperture Synthesis: Application to Real SMOS Data#288304HAL (France)
• A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems#322571HAL (France)
• A Rapid Physics-Informed Machine Learning Framework Based on Extreme Learning Machine for Inverse Stefan Problems.#489522DBLP
• Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Survey of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems#682403arXiv (OAI Expanded)
• Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Survey of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems#684178arXiv (All)
• Redes neurais clássicas e quânticas#626706RI UFSCar
• Model-based Design of Experiments for Inverse Problems in Civil Engineering Applications under the Consideration of Noise#664453Dbt
• I2I-PR: Deep iterative refinement for phase retrieval using image-to-image diffusion models#223151OpenMETU
• Simultaneous Estimation of Reference Temperature and Heat Transfer Coefficient in Transient Film Cooling Problems#940349Journal of Thermal Engineering
• A Regularized Finite-Difference Approximation of Surface-restricted Emission and Reception Process in Acoustics with Application to Inverse Problems#997894arXiv (All)
• Deep-Learning-Enhanced Beam Diagnostics and High-Resolution Image Denoising for Next-Generation Particle Accelerators#445624HAL (France)
• A Coupled Reaction-Diffusion Model of Promoting and Suppressing Interactions Among Cancer Hallmarks in Endometrial Cancer#651024BYU ScholarsArchive
• Methods for rapid determination of the composition and condition of nitrocellulose propellants based on thermodynamic modeling#369412Zenodo (CERN)
• Pre-Structured Neural Architecture Enables Local Learning in Biological Systems#181085OSF