Author: Michal Lisicki

Michal Lisicki
Michal Lisicki is a Ph.D. student at the University of Guelph and Vector Institute for AI in Canada. His research spans multiple topics in deep learning, beginning with 3D vision for robotics and medical image analysis in his early career to Bayesian optimization and sequential decision-making under uncertainty. His current research is focused on the development of sequential decision-making algorithms for improved data and model efficiency of deep neural networks.

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