Latest Articles for Inverse Problems

A look into cosmic X-ray tomography and the methods to visualize cosmic strings.

New methods improve EIT for better medical imaging and diagnostics.

Discover how virtual heart models are changing patient care.

This article presents a method to reduce computational costs in estimating unknown quantities.

A new diffusion model framework improves image restoration from degraded versions.

Learn how paired autoencoders enhance the resolution of complex inverse problems.

Meent enhances electromagnetic simulations and machine learning for optical device design.

UniFIDES simplifies solving complex fractional integro-differential equations.

An overview of how waves interact with obstacles in various fields.

A look into using fewer measurements for better signal recovery.

An overview of inverse problems and methods for accurate reconstructions.

Exploring how machine learning techniques assist in solving inverse problems across various fields.

New methods improve material property inference in mechanics and medical imaging.

Examining the role of inverse problems in wave equations and their applications.

This study examines Bayesian PINNs for estimating PDE parameters from noisy data.

PDEformer-1 simplifies solving one-dimensional partial differential equations using machine learning techniques.

New techniques improve medical imaging using Electrical Impedance Tomography.

New methods improve data analysis with incomplete information.

This article explores solving inverse problems using advanced models and techniques.

New methods improve accuracy and efficiency in solving inverse problems.

New regularization method improves heart electrical activity reconstructions from body surface measurements.

This article examines methods for assessing corrosion in buried objects without excavation.

A novel approach combines domain decomposition and artificial neural networks for complex problem solving.

A new method improves image reconstruction in noisy medical data.

Exploring the Unique Continuation Principle's impact on wave behavior in conductive materials.

A new method improves parameter estimates in inverse problems affected by noise.

Exploring the integration of deep learning with Bayesian methods to improve data estimation.

This article discusses modeling techniques for analyzing tumor growth and early detection.

Optimizing data selection methods for solving inverse problems in science and engineering.

Exploring the fascinating world of AGN and their jets.

ProxSkip speeds up image processing in inverse problems while maintaining quality.

Ensemble Kalman Diffusion Guidance offers a fresh approach to solving complex inverse problems.

A new method blends numerical techniques with neural networks for solving complex equations.

A deep dive into biharmonic operators and their role in inverse problems.

Discover how PINNs improve predictions in electrical circuit analysis.

Combining techniques for better accuracy in predicting mechanical properties of materials.

Discover how bilevel optimization tackles complex inverse problems efficiently.

A study on handling errors in inverse problems affected by noise.

Explore how RFMs transform image generation in creative fields.

Discover how Measurement Optimization transforms image processing for clearer results.