Latest Articles for Regularization

An analysis of non-uniqueness in the continuity equation and its implications.

Machines are getting better at creating drawings with minimal examples.

Introducing a method to improve data analysis using hierarchical modeling and Bayesian statistics.

A study on robust strategies in Markov games under uncertainty.

New methods improve EIT for better medical imaging and diagnostics.

Research reveals complexities in deep neural networks beyond traditional models.

Cylindrical shearlets enhance image clarity in dynamic object scans.

Discover new methods to improve offline reinforcement learning performance.

Strategies for optimizing asset allocation while considering data uncertainty.

Innovative techniques improve loudspeaker design and sound direction.

Stagewise boosting distributional regression improves analysis of complex data.

This article discusses effective methods for improving uncertainty quantification in complex models using neural networks.

Investigating how neural networks learn features during training.

GENTLE advances machine learning by effectively learning conditional distributions from limited data.

Exploring methods to improve decision-making using existing data.

A new method enhances image clarity in biomedical imaging through iterative refinement.

New methods improve analysis of materials using hyperspectral imaging.

CCL ensures neural networks maintain accuracy while learning new tasks.

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

Learn methods to restore clarity in blurred images, crucial for scientific research.

Linking theoretical predictions and experimental data through spectral densities in quantum field theory.

A new method enhances safety in image generation from text prompts.

DropKAN improves KANs' performance by addressing Dropout issues.

A detailed look at improving blurry and noisy images across various fields.

This article discusses methods for estimating quantiles in directional data.

A new method for identifying change points in data patterns using continuous optimization.

Discover innovative multilevel approaches transforming optimization strategies for complex problems.

LIP-CAR method reduces contrast agent use while enhancing image quality.

An overview of DNNs and Accordion Networks in managing high-dimensional data.

Explore various methods for identifying anomalies across different fields.

Improving optimization techniques for real-valued functions using a modified Mixed Newton Method.

A new method streamlines 3D scene editing using just one 2D image.

New methods improve variable selection in high-dimensional data analysis.

Learn how federated learning enhances small object detection while maintaining data privacy.

A new method enhances GAN performance with limited data.

A method to visualize and understand AI decisions in time series data.

A new approach simplifies the training of equivariant neural networks for better performance.

This article explains Kernel Ridge Regression and its relevance in machine learning.

A new method for assessing model performance using exhaustive nested cross-validation.

An overview of Feynman integrals and their role in quantum field theory.