IEEE

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

Abstract: Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
GitHub

TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models

This is the official implementation of our paper TFMQ-DM, a novel training-free framework that achieves a new state-of-the-art result in PTQ of diffusion models, especially under 4-bit weight ...
Hosted on MSN

Photoshop tutorial: How to add a star-diffusion effect to photographs

Photoshop cc tutorial showing how to add a romantic, star-diffusion (twinkle) effect to your photos and then confine the effect to specific areas. Carney hits back at Trump over Canada statement The ...
GitHub

Latent Diffusion Models for Unconditional Image Generation

This project provides a complete pipeline for latent diffusion models, covering image dataset encoding into latents, training three different models with two distinct noise schedules, and sampling ...