PluGeN: Multi-Label Conditional Generation from Pre-trained Models. - Maciej Wolczyk; Magdalena Proszewska; Lukasz Maziarka; Maciej Zieba; Patryk Wielopolski; Rafal Kurczab; Marek Smieja (AAAI, 2022)

TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression. - Patryk Wielopolski; Maciej Zieba (CoRR, 2022)

Flow Plugin Network for Conditional Generation. - Patryk Wielopolski; Michal Koperski; Maciej Zieba (ACIIDS (2), 2023)

TreeFlow: Going Beyond Tree-Based Parametric Probabilistic Regression. - Patryk Wielopolski; Maciej Zieba (ECAI, 2023)

Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows. - Piotr Milkowski; Konrad Karanowski; Patryk Wielopolski; Jan Kocon; Przemyslaw Kazienko; Maciej Zieba (ICDM (Workshops), 2023)

Probabilistically Plausible Counterfactual Explanations with Normalizing Flows. - Patryk Wielopolski; Oleksii Furman; Jerzy Stefanowski; Maciej Zieba (ECAI, 2024)

Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels. - Patryk Wielopolski; Oleksii Furman; Jerzy Stefanowski; Maciej Zieba (CoRR, 2024)

NodeFlow: Towards End-to-End Flexible Probabilistic Regression on Tabular Data. - Patryk Wielopolski; Oleksii Furman; Maciej Zieba (Entropy, 2024)

Multi-Label Conditional Generation From Pre-Trained Models. - Magdalena Proszewska; Maciej Wolczyk; Maciej Zieba; Patryk Wielopolski; Lukasz Maziarka; Marek Smieja (IEEE Trans. Pattern Anal. Mach. Intell., 2024)