Abstract: Diffusion models are a powerful class of techniques in ML for generating realistic data, but they are highly prone to overfitting, especially with limited training data. While data ...

Abstract: Latent Diffusion Models have emerged as an efficient alternative to conventional diffusion approaches by compressing high-dimensional images into a lower-dimensional latent space using a ...

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.

The history of human progress is, in many ways, the history of technology’s diffusion. Among these advances, a few—what economists call general-purpose technologies—have had the greatest impact on ...

This repository contains the complete codebase for training and evaluating energy-based diffusion models for molecular dynamics simulations. Our approach enables a single model to perform both ...

Amazon EC2 Trn3 UltraServers powered by AWS's first 3nm AI chip help organizations of all sizes run their most ambitious AI training and inference workloads. As AI models grow in size and complexity, ...