Dejan Stancevic — accepted AI-conference papers

2026

The Entropic Signature of Class Speciation in Diffusion Models

Florian Handke, Dejan Stancevic, Felix Koulischer, Thomas Demeester, Luca Ambrogioni

ICML 2026poster

Diffusion models do not recover semantic structure uniformly over time. Instead, samples transition from semantic ambiguity to class commitment within a narrow regime. Recent theoretical work attributes this transition to dynamical instabilities along class-separating directions, but practical metho…

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2025

Entropic Time Schedulers for Generative Diffusion Models

Dejan Stancevic, Florian Handke, Luca Ambrogioni

NeurIPS 2025poster

The practical performance of generative diffusion models depends on the appropriate choice of the noise scheduling function, which can also be equivalently expressed as a time reparameterization. In this paper, we present a time scheduler that selects sampling points based on entropy rather than uni…

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