Group of Machine Learning Research

GMUM (Group of Machine Learning Research) is a group of researchers working on various aspects of machine learning, and in particular deep learning - in both fundamental and applied setting. The group is led by prof. Jacek Tabor. We are based in the Jagiellonian University in the beautiful city of Kraków, Poland.

Some of the research directions our group pursues include:

In 2023, we are organizing the second edition of Machine Learning Summer School with Neuroscience. More information coming soon!

Recent achievements

Conditional deep generative models (grant)

Marek Śmieja
OPUS 23

Balancing priors in Bayesian Neural Networks (grant)

Tomasz Kuśmierczyk
POLONEZ BIS 2

Improving interpretability in deep neural networks (grant)

Dawid Rymarczyk
PRELUDIUM 21

Better adaptation in Meta-Learning (grant)

Marcin Sendera
PRELUDIUM 21

COeXISTENCE between humans and machines in urban mobility (grant)

Rafał Kucharski
ERC Starting Grant

Sparsifying Transformer Models with Trainable Representation Pooling (paper)

Michał Pietruszka, Łukasz Borchmann, Łukasz Garncarek
ACL 2022 (Spotlight)

SONGs: Self-Organizing Neural Graphs (paper)

Łukasz Struski, Tomasz Danel, Marek Śmieja, Jacek Tabor, Bartosz Zieliński
WACV 2023

ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts (paper)

Mikołaj Sacha, Dawid Rymarczyk, Łukasz Struski , Jacek Tabor, Bartosz Zieliński
WACV 2023

Contact Us

Group of Machine Learning Research
Faculty of Mathematics and Computer Science
ul. Lojasiewicza 6
30-342, Cracow, Poland

gmum@uj.edu.pl