Research group, D-21 PWr
genwro.AI
Generative models: diffusion, 3D, uncertainty and explainability.
Research topics: generative models · diffusion models · computer vision · uncertainty modeling · model distillation · few-shot learning
Group leadership
genwro.ai develops generative and diffusion models, computer vision, 3D representations, uncertainty modeling, distillation, few-shot learning, explainable AI and machine unlearning.
Members
16 members- Maciej ZiębaGroup head
- Kamil AdamczewskiMember
- Przemyslaw DolataMember
- Weronika JakubowskaMember
- Oleksii FurmanMember
- Katarzyna JabłońskaMember
- Wojciech KozłowskiMember
- Mateusz GrzesiukMember
- Marcin KostrzewaMember
- Radosław KuczbańskiMember
- Łukasz LenkiewiczMember
- Patryk WielopolskiMember
- Konrad KaranowskiMember
- Dawid KopećMember
- Jakub BalickiMember
- Halina KwasnickaMember
Recent publications
Unifying deep stochastic processes for image enhancement
Proceedings of the 43rd International Conference on Machine Learning, Seoul, South Korea, 6th-11th July, 2026
Towards plausibility in time series counterfactual explanations
ACIIDS, 2026
HyConEx: Hypernetwork classifier with counterfactual explanations for tabular data
Neurocomputing, 2026
Reducing estimation uncertainty using normalizing flows and stratification
ACIIDS, 2026
MultiPlaneNeRF: Neural radiance field with non-trainable representation
Expert Systems with Applications, 2025
Satellite data based one-class classifier models with augmentation for efficient mineral exploration
ACIIDS, 2025