Latest Articles for Neural Network

A study on how neural networks identify damaged shapes compared to humans.

A study on how backbone and pooling layers affect point cloud classification performance.

A new model improves predictions of pedestrian movement by accounting for sensor uncertainty.

A new approach for better insights into complex systems using neural networks.

HypLL simplifies deep learning for hierarchical data using hyperbolic space.

Analyzing the relationship between black hole mergers and their host galaxies.

This article explores the development of advanced datasets for robotics in manufacturing.

A new programming language simplifies Bayesian inference on function spaces for researchers.

A new method uses neural networks to measure magnetic fields in inaccessible vacuum chambers.

A novel method to efficiently extract geometric data from CPWA neural networks.

Learn how neural networks analyze data structured as graphs.

Researchers use neural networks to model entangled quantum states and explore communication needs.

A new method improves neural network defenses against adversarial attacks.

Study reveals how NTL data tracks urban development and changes effectively.

A look at how SLASH merges AI techniques for better reasoning.

Deep learning automates and improves steel microstructure evaluation for better quality control.

A new approach to Gibbs sampling enhances neural network performance.

Recent findings enhance our knowledge of top quarks and their interactions.

A new approach to wireless communication using CNN-AE improves efficiency and reduces errors.

New machine learning methods improve solar activity predictions for satellite management.

A look into how light and matter interact through polariton chemistry.

CorInfoMax aims to improve neural networks by mimicking biological learning processes.

Researchers use neural networks to improve detection of strong gravitational lenses.

Introducing a novel optimization framework for training neural networks using manifold structures.

Researchers use deep learning to analyze and predict properties of knots.

Researchers use deep learning to classify eclipsing binary stars efficiently.

A study on detecting homoglyph attacks to protect users online.

Combining Green's functions with neural networks offers new solutions for complex PDEs.

Learn how AI and math can improve large asset transaction strategies.

A new approach to actor-critic algorithms using two-layer neural networks.

MetNet-3 enhances weather predictions with improved accuracy and speed.

Neural networks enhance the accuracy of predicting nuclear masses, bridging gaps in theoretical models.

NILUT offers a memory-efficient method for color transformation in photography.

MRFI offers a flexible approach to simulate faults in neural networks, enhancing reliability.

Research introduces a method for measuring visual decision-making timing in AI models.

Exploring new methods to improve decision-making amidst uncertainty using neural networks.

Research highlights a method to enhance RIS performance in changing environments.

New techniques leverage deep learning for timely wildfire detection and response.

Advancements in molecule generation using new computational methods are reshaping drug discovery.

Discover how Contrastive Learning aids astronomical data analysis.