Jan Pawel Stanczuk — accepted AI-conference papers

2024

Diffusion Models Encode the Intrinsic Dimension of Data Manifolds

Jan Pawel Stanczuk, Georgios Batzolis, Teo Deveney, Carola-Bibiane Schönlieb

ICML 2024poster

In this work, we provide a mathematical proof that diffusion models encode data manifolds by approximating their normal bundles. Based on this observation we propose a novel method for extracting the intrinsic dimension of the data manifold from a trained diffusion model. Our insights are based on t…

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2024

Time Series Diffusion in the Frequency Domain

Jonathan Crabbé, Nicolas Huynh, Jan Pawel Stanczuk, Mihaela van der Schaar

ICML 2024poster

Fourier analysis has been an instrumental tool in the development of signal processing. This leads us to wonder whether this framework could similarly benefit generative modelling. In this paper, we explore this question through the scope of time series diffusion models. More specifically, we analyz…

Cited by 11 Source ↗PDF ↗code ↗Scholar ↗