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NeurIPS 2026SISSAUniversité Paris Dauphine - PSLRadboud University NijmegenBocconiDiffusion models

Emergence of Distortions in High-Dimensional Guided Diffusion Models

Classifier-free guidance induces mismatched sampling distributions in diffusion models, with high-dimensional Gaussian distortions emerging when class counts scale exponentially with dimension, and a negative-guidance schedule improves diversity and separability.

Enrico Ventura, Beatrice Achilli, Luca Ambrogioni, Carlo Lucibello

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 3/5
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NeurIPS 2026Chalmers University of TechnologChalmers University of TechnologSISSABocconiChalmers/GUDiffusion models

The Interplay of Data Structure and Imbalance in the Learning Dynamics of Diffusion Models

Diffusion models learn high-variance classes first, but sampling imbalance can reverse this ordering and delay minority class learning, causing uneven memorization.

Flavio Nicoletti, Chenxiao Ma, Enrico Ventura, Luca Saglietti and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5