Latest Articles for Generative Models

New method improves text classifiers by generating misleading multilingual examples.

A model creates realistic 3D shapes from various inputs rapidly.

Innovative approaches improve channel estimation in low-resolution wireless communication systems.

New techniques simplify water flow predictions using machine learning methods.

A look into the essential theory behind deep learning models.

New framework helps generative models forget sensitive data while maintaining performance.

Explore Latent Graph Diffusion, a unified approach for various graph tasks.

Examining the relationship between quantum states and classical data modeling techniques.

Examining generative models for synthetic gene expression data while ensuring patient privacy.

ControlUDA enhances AI's ability to segment images in adverse weather.

New approaches to develop embodied agents for mental health support using context-sensitive smiles.

Exploring the link between diffusion models and stochastic quantization in quantum field theory.

Study explores using noisy labels for accurate OIRD outcome identification.

A new framework enhances model performance while maintaining data privacy.

A look at how active inference guides decision-making under uncertainty.

WildECG offers innovative insights into ECG data analysis for better heart health management.

A new method improves retinal image analysis by separating key patient data from technical factors.

AI is changing the way new drugs are developed, making it faster and more efficient.

A new framework improves image recognition accuracy and efficiency for web entities.

Generative AI offers innovative tools for data analysis in geoscience.

A new method using generative models to improve knowledge retention in machine learning.

Exploring how AI can improve mathematical reasoning and discovery.

Researchers are using synthetic data to improve human pose estimation.

A new method addresses harmful content generation in AI models.

CQR enhances understanding and responses in conversations by rewriting unclear queries.

This study explores the theoretical underpinnings of discrete-time diffusion models in machine learning.

A new method enhances object detection using generative models and limited data.

DepthFM improves speed and accuracy in depth estimation using flow matching techniques.

New technology allows users to create 3D models from text descriptions effortlessly.

A new framework enhances graph representation learning across multiple tasks.

A look at using active learning for enhanced generative model performance.

Introducing ZOD-MC, a novel approach for challenging sampling tasks.

A new method to assess novelty in generative AI outputs.

A new method to suggest optimal DFCIL algorithms using simulated data streams.

This article discusses the automation of labeling emotions in text data.

Examining the emergence of features in image and audio generation models.

Diverse samples enhance the effectiveness of machine learning model theft.

A new framework enhances how we assess coherence in texts.

Automating chart creation in honeyfiles enhances cybersecurity measures against cyber threats.

New methods allow stunning art style personalization in image generation.