Robust Diffusion Models via Divergence-Induced Weighted Denoising

arXiv:2606.22521 · stat.ML, cs.LG · Submitted 2026-06-21 · Read on arXiv

Lei Li, Yuexiao Dong

stat.ML, cs.LG

Submitted: 2026-06-21

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

Terminology

• Robustness — 17× in this paper · explained in 6 episodes
• Diffusion Model — 15× in this paper · explained in 10 episodes
• Diffusion Models — 13× in this paper · explained in 9 episodes
• Training Objective — 10× in this paper · explained in 3 episodes
• Generator — 8× in this paper · explained in 2 episodes
• Computational overhead — 4× in this paper · explained in 2 episodes
• Parameterization — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Flow Matching — 3× in this paper · explained in 22 episodes
• Generative Modeling — 3× in this paper · explained in 3 episodes
• In International Conference on Learning Representations — 3× in this paper
• Adam — 2× in this paper · explained in 3 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Hyperparameters — 2× in this paper · explained in 2 episodes
• Influence Functions — 2× in this paper · explained in 3 episodes
• Monotonicity — 2× in this paper · explained in 2 episodes
• Training Objectives — 2× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• In International Conference on Machine Learning — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Score Function — 1× in this paper · explained in 4 episodes
• U-Net Architecture — 1× in this paper · explained in 5 episodes
• Unified Framework — 1× in this paper · explained in 6 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Divergence-Minimization for Latent-Structure Models: Monotone Operators, Contraction Guarantees, and Robust Inference
• One-step Diffusion Models with $f$-Divergence Distribution Matching

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