Dominik Filipiak — accepted AI-conference papers

2026

Why We Need New Benchmarks for Local Intrinsic Dimension Estimation

Piotr Tempczyk, Dominik Filipiak, Łukasz Garncarek, Ksawery Smoczyński, Adam Kurpisz

ICLR 2026poster

Recent advancements in algorithms for local intrinsic dimension (LID) estimation have been closely tied to progress in neural networks (NN). However, NN architectures are often tailored to specific domains, such as audio or image data, incorporating inductive biases that limit their transferability…

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2025

A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods

Piotr Tempczyk, Łukasz Garncarek, Dominik Filipiak, Adam Kurpisz

AAAI 2025technical

Local intrinsic dimension (LID) estimation methods have received a lot of attention in recent years thanks to the progress in deep neural networks and generative modeling. In opposition to old non-parametric methods, new methods use generative models to approximate diffused dataset density to scale…

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