Latest Articles for Generative Models

This paper examines how knowledge transfer enhances generative model accuracy.

Study introduces a model accounting for mutation interactions in protein evolution.

A novel method combining image generation and understanding techniques for better machine learning.

We develop methods for refining models using noisy and indirect observations.

AFBench offers a vast dataset for improved airfoil design techniques.

Innovative methods for simulating complex diffusion processes show great potential across multiple fields.

Explore the working and applications of diffusion models in generative AI.

A look into Normalizing Flows and their role in generative modeling.

A new approach combining generative modeling and boosting for better learning outcomes.

A two-stage framework improves Python's type inference, enhancing code quality and efficiency.

New method enhances synthetic ultrasound images using tailored noise scheduling.

Exploring the role of generative models in understanding complex, dynamic systems.

A straightforward look at Energy-Based Models and their role in generating data.

Exploring how agents learn and adapt through structured active inference.

A fresh approach enhances drug candidate generation and effectiveness in pharmaceutical research.

CAMP model transforms pathology image classification for better diagnostics.

New methods aim to improve ECG data privacy and quality.

Discover how diffusion models generate realistic data through noise manipulation.

Examining generative models' capabilities through global metrics and their applications.

A new method for realistic lighting and perspective adjustments in portrait images.

A new model improves speech clarity by targeting noise and echoes.

ColorwAI empowers designers to create innovative fabric colorways efficiently.

Scientists use scattering transforms to enhance cosmic data interpretation and modeling.

A new method automates data creation for visual grounding tasks, improving machine learning efficiency.

Researchers enhance analysis of complex data in astrophysics using scattering transforms.

A new method improves synthetic data for tissue sample analysis.

A fresh method transforms how we analyze large collections of images.

Introducing an efficient way to evaluate the quality of generated samples using latent density scores.

New techniques enhance localized weather predictions amidst climate change.

A new method boosts generative models' performance even with scarce training data.

Scientists use machine learning to improve predictions in cancer drug combinations.

ROMs streamline complex simulations for efficient engineering solutions.

Researchers are using LIMO to create specialized molecules for medicine.

Researchers model memristors to improve performance in data storage and processing.

This article explores solving inverse problems using advanced models and techniques.

A new framework improves classification in unseen audio-visual tasks.

New methods detect and respond to memorization in AI-generated content.

Researching how targeted brain stimulation affects brain dynamics and treatment possibilities.

A new method to enhance data variety for improved model performance.

This method improves planning efficiency using predictions and adaptive action models.