DiffusionBlocks: Training Neural Networks One Block at a Time

Theoretical Foundations of Deep Learning

Three training-time interventions improve diffusion-based speculative decoding by 21-76%

This paper presents an empirical analysis of three training-time interventions to improve speculative decoding with diffusion language model

DiffusionGemma: The Developer Guide

iLLaDA: An 8B Masked Diffusion Language Model Trained with Bidirectional Attention

The paper introduces iLLaDA, an 8-billion parameter masked diffusion language model trained from scratch with fully bidirectional attention,

Modular Manifolds

Training-Free Single-Image Diffusion Model Achieves Fast, High-Quality Generation

This paper presents a training-free approach to single-image diffusion models. Instead of training a neural network on a single image (which