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
HyConEx: Hypernetwork classifier with counterfactual explanations for tabular data
Neurocomputing, 2026
Towards plausibility in time series counterfactual explanations
ACIIDS, 2026
Reducing estimation uncertainty using normalizing flows and stratification
ACIIDS, 2026
Are foundation models useful for bankruptcy prediction?
2025
MultiPlaneNeRF: Neural radiance field with non-trainable representation
Expert Systems with Applications, 2025