Jan Dubiński
Research interests: AI safety, Generative models, Deep learning
Jan Dubiński works on developing safe and trustworthy artificial intelligence. His research focuses on generative models, such as large language models and generative vision systems. His work has been published at leading AI conferences, including NeurIPS, CVPR, ICML, AAMAS, and WACV. Jan is currently pursuing a PhD at the Doctoral School of Warsaw University of Technology.
Page: https://jandubinski.github.io/
Selected Publications
Articles
Antoni Kowalczuk, Jan Dubiński, Franziska Boenisch, Adam Dziedzic, "Privacy Attacks on Image AutoRegressive Models", Proceedings of the 42nd International Conference on Machine Learning, PMLR 267, 2025, 31667-31695.
Joanna Kaleta, Paweł Skierś, Jan Dubiński, Przemysław Korzeniowski, Tomasz Trzciński, Jakub M. Tomczak, Kamil Deja, "JointDiffusion: Joint representation learning for generative, predictive, and self-explainable AI in healthcare", Computerized Medical Imaging and Graphics, 124, 2025, 102619.