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 (MLSS^S) with a focus on Applications in Science. More information can be found on the event website as well as here.

Recent achievements

Active Visual Exploration Based on Attention-Map Entropy (paper)

Adam Pardyl, Grzegorz Rypeść, Grzegorz Kurzejamski, Bartosz Zieliński, Tomasz Trzciński
IJCAI 2023

Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models (paper)

Mohammadreza Banaei, Klaudia Bałazy, Artur Kasymov, Remi Lebret, Jacek Tabor, Karl Aberer
EACL 2023

ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction (paper)

Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel
SDM 2023

Conditional deep generative models (grant)

Marek Śmieja
OPUS 23

Balancing priors in Bayesian Neural Networks (grant)

Tomasz Kuśmierczyk
POLONEZ BIS 2

Contact Us

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

gmum@uj.edu.pl