Latest Articles for Regularization

This article tackles distribution shift issues in machine learning-enhanced simulations.

Introducing a method to reduce forgetting in neural networks while learning new tasks.

New techniques enhance parameter identification in complex systems using adaptive methods.

DeRa offers a method to adjust language model alignment without retraining.

A new method improves machine learning model predictions through a teacher-student system.

A novel method for better understanding disease spread using spatial models.

This study examines finding Nash equilibria amid individual constraints in competitive scenarios.

New method enhances model predictions by addressing miscalibration issues effectively.

Learn how optimal transport helps compare data distributions efficiently.

Explore how uncertainty affects machine learning predictions and methods to measure it.

A look into survival analysis using the Cox proportional hazards model.

New methods improve acoustic modeling of the Earth's subsurface for various industries.

A method to improve data classification using regularization techniques.

A fresh approach to clarify how images influence neural network decisions.

Researching methods to solve the Cauchy problem using fractional derivatives.

A method to manage nearly singular integrals in fluid mechanics and potential theory.

Learn how regularization techniques improve clarity in complex data scenarios.

A new method enhances learning by combining expert and suboptimal demonstrations.

Exploring methods to enhance machine learning in dynamic graph environments.

This study presents a neural network designed to understand periodic systems.

This article discusses matrix completion techniques in assessing health policies.

New imaging method enhances dynamic scene reconstruction in radio astronomy.

iDARR offers a fresh approach to recover clarity from noisy images.

Examining adversarial training for stronger machine learning models against attacks.

Research shows general regularization methods boost off-policy RL agent performance across tasks.

This article discusses sampling techniques from mean-field models in complex systems.

A fresh approach for assessing neural networks without extensive training.

A new method improves the estimation of memory kernels in particle dynamics.

A new method enhances privacy in federated learning against gradient inversion attacks.

A look into the gravitational interactions and motions of the Earth-Moon system.

This article discusses methods to improve deep learning's resilience to adversarial examples.

Study reveals factors affecting single-layer GCN's performance on various data models.

This article discusses a new method for enhancing Extreme Learning Machines in various applications.

Examining methods for better signal detection through integer solutions.

A new method enhances accuracy in locating moving sound sources using microphone arrays.

New techniques in photoacoustic tomography improve medical imaging and diagnosis.

A look at how cosmologists manage infinite values in their calculations.

Discover a new method for image restoration using self-guided reconstruction.

A new method enhances the extraction of insights from aviation accident reports.

This article discusses methods for training two-layer ReLU neural networks efficiently.