Latest Articles for Data Science

NeuroSCAN helps researchers visualize and analyze neuronal connections and interactions.

Using machine learning to simplify scattering amplitudes in high-energy physics.

Researchers use AI to predict new SARS-CoV-2 variants for better public health responses.

GP-KAN merges Gaussian Processes and Kolmogorov-Arnold Networks for efficient predictions.

Research improves cluster connectivity in community detection via Stochastic Block Models.

New methods enhance document retrieval systems by using topic categorization.

A critical look at AI's impact on science and understanding.

A new method reduces biases in image and text models effectively.

Combining various data types enhances insights into biological systems.

Using low-quality data to create high-quality videos from text.

Researchers use machine learning to create data for particle physics more efficiently.

ARMADA improves image-text pairing through attribute-focused data creation.

Flusion combines data sources for accurate influenza hospital admission forecasts.

New methods enhance understanding of the universe through weak gravitational lensing data.

This article explores innovative sampling methods in neural networks using auxiliary variables.

AdaResNet offers a dynamic solution for balancing input and processed data in neural networks.

A new method approximates neural networks for better uncertainty analysis.

A new method to estimate LLM performance effectively.

A novel method to create high-quality synthetic table images for better recognition tools.

A new approach enhances graph clustering by combining structural and attribute information.

Examining how example choices affect fairness in language models.

This study highlights the benefits of advanced forecasting techniques for energy management in Puno.

FuXi Weather utilizes machine learning for improved weather predictions.

A new algorithm improves optimization techniques for data compression and quantum states.

A new method combines models to enhance molecule design for drugs and materials.

KAN models improve forecasting accuracy and interpretability in various fields.

Discover strategies to enhance few-shot learning in large vision language models.

RedWhale model enhances Korean text understanding through specialized techniques.

New technique for better understanding model predictions using counterfactual examples.

CooPre enhances vehicle perception using unlabelled data for safer driving.

Innovative approaches to regulate complex nonlinear systems using data-driven methods.

UKAN enhances AI efficiency and accuracy for complex data tasks.

A new approach enhances uncertainty quantification in machine learning models.

Strategies to enhance efficiency in networks with changing connections and imperfect data.

Assessing deep learning models for practical use is crucial for safety and reliability.

A new method enhances GAN performance with limited data.

A study on the effectiveness of clustering methods in various scenarios.

A look into bridging nonlinear behaviors with linear representations.

This study examines how stock networks can improve price predictions.

Discover how language models enhance personalized recommendation systems.