Accelerating Diffusion Sampling via Speculative Draft Trees

arXiv:2609.17691 · cs.LG, cs.AI, stat.AP · Submitted 2026-09-15 · Read on arXiv

cs.LG, cs.AI, stat.AP

Submitted: 2026-09-15

Updated: 2026-09-15

Code: https://github.com/marcellobullo/tree-specdiff

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Diffusion Model — 25× in this paper · explained in 8 episodes
• Verification — 22× in this paper · explained in 2 episodes
• Diffusion Models — 19× in this paper · explained in 6 episodes
• Distillation — 8× in this paper · explained in 2 episodes
• Reflection Maximal Coupling — 8× in this paper
• Speculative Decoding — 8× in this paper · explained in 2 episodes
• In International Conference on Learning Representations — 7× in this paper
• Flow Matching — 6× in this paper · explained in 8 episodes
• Generative Modeling — 5× in this paper · explained in 3 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Latent Space — 4× in this paper · explained in 7 episodes
• Rectified Flow — 4× in this paper · explained in 3 episodes
• Denoising Diffusion Probabilistic Model — 3× in this paper
• Generative Model — 3× in this paper · explained in 2 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• In International Conference on Machine Learning — 3× in this paper
• Optimal Transport — 3× in this paper · explained in 5 episodes
• Quantization — 3× in this paper · explained in 12 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Distribution Matching — 2× in this paper · explained in 2 episodes
• Sample Complexity — 2× in this paper · explained in 15 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Differential Privacy — 1× in this paper · explained in 4 episodes
• Differentially Private — 1× in this paper · explained in 3 episodes
• Diffusion Process — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• International Symposium on Information Theory — 1× in this paper
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Score Function — 1× in this paper · explained in 4 episodes
• Self-Distillation — 1× in this paper · explained in 7 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• Accelerating Large Language Model Decoding with Speculative Sampling
• Diamond Maps: Efficient Reward Alignment via Stochastic Flow Maps
• The Principles of Diffusion Models
• SpecTr-GBV: Multi-Draft Block Verification Accelerating Speculative Decoding
• Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
• Accelerating Speculative Diffusions via Block Verification

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