Projects

Continual Self-Supervised Representation Learning - Grant PRELUDIUM BIS funded by National Science Centre Poland

We tackle the problem of learning representations in continual learning regime.

OPUS funding from National Science Centre in Poland

Application of deep generative models for lifelong learning.

Microsoft Research PhD Scholarship Award

Low shot realistic human rendering from partial information.

Grant of Priority Research Domain at WUT - Artificial Intelligence and Robotics

Binary representations and their application in continual learning.

Grant of Priority Research Domain at WUT - High Energy Physics and Experimental Techniques

WUT@ALICE: Study of fundamental properties of strongly interacting matter with particle correlations and machine learning in ALICE at LHC.

Grant of Scientific Discipline of Computer Science and Telecommunications at WUT.

Spontanuous preterm birth prediction based on ultrasound data using machine learning methods.