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Showing papers from Université Paris Dauphine - PSL Show all papers

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NeurIPS 2026Université Paris Dauphine - PSLU OxfordDiffusion models

Multi-Bridge Denoising Diffusion Probabilistic Models

Mélodie Monod, Habib Ganjgahi

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Université Paris-SaclayUniversité Paris Dauphine - PSLUniversity Paris-SaclayDiffusion models

Euclidean Score-Based Generative Modeling with Permutation Semantics

Gaël Heck, Nassim Bourarach, Sylvie Le Hégarat-Mascle, Nicolas Lermé

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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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
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medium 8/10
strict 3/5