1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
The Trade-off Between Covariate Dependence and Latent Structure in Representation Learning
Małgorzata Łazęcka, Ewa Szczurek
Disentangled representation learning seeks latent representations whose indicidual dimensions each align with a distinct covariate. Unsupervised approaches typically target latent…
cs.CV2026★ 1 cited
ImmuVis: Hyperconvolutional Foundation Model for Imaging Mass Cytometry
Dawid Uchal, Marcin Możejko, Krzysztof Gogolewski +12
We present ImmuVis, a family of efficient foundation models for imaging mass cytometry (IMC), a high-throughput multiplex imaging technology that handles molecular marker measureme…
cs.LG2025
Factor Analysis with Correlated Topic Model for Multi-Modal Data
Małgorzata Łazęcka, Ewa Szczurek
Integrating various data modalities brings valuable insights into underlying phenomena. Multimodal factor analysis (FA) uncovers shared axes of variation underlying different simpl…