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Showing papers from Radboud University Nijmegen Show all papers

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NeurIPS 2026U CambridgeU GlasgowRadboud University NijmegenLLM pretraining & scaling laws

Towards Closing the Autoregressive Gap in Language Modeling via Entropy-Gated Continuous Bitstream Diffusion

Georgios Batzolis, Mark Girolami, Luca Ambrogioni

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · 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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strict 3/5