Author

Małgorzata Łazȩcka

2 papers indexed here

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Preprint Aug 2026

The Trade-off Between Covariate Dependence and Latent Structure in Representation Learning

Disentangled representation learning seeks latent representations whose indicidual dimensions each align with a distinct covariate. Unsupervised approaches typically target latent dimension independence, yet this gives no guarantee that the resulting dimensions align with semantically meaningful covariates. Supervised...

Małgorzata Łazȩcka, Ewa Szczurek · 0 citations

Open access Sep 2026

Modelling interpretable patient-level representations from structured and simple multimodal data

FACTMx couples latent patient factors with subobservation clustering and per-patient component proportions, enabling direct interpretation and downstream association analyses, and supports joint structured-simple modelling for interpretable multimodal patient stratification.

Kazimierz Oksza-Orzechowski, Małgorzata Łazȩcka, Ł. Koperski et al. · bioRxiv · 0 citations