Our prizes, grants and other accomplishments.


for Students

See what we can offer you, as a Bachelor, Master of PhD level student.



Interested in our research? Please come in.



Come to our weekly meeting.



Take a quick tour through our team members.



Main research direction

We focus on various machine learning models and algorithms, with particular interest in hybrid models, connecting concepts from both classification and clustering methods.


every thursday, 14:00, room 1146

Group's seminar

Classification methods

We are investigating new models able to perform classification. Including hierarchical, support vector based and entropy based models.

Clustering methods

Our group develops new clustering algorithms, based mostly on information and compression theory.

Deep learning

GMUM is also actively working on deep learning paradigm (in the Hinton's sense), as we strongly believe that this is the future of machine learning.

Recent papers

Krzysztof Byrski, Przemysław Spurek, Jacek Tabor Online updating of active function cross-entropy clustering, PATTERN ANAL APPL (2018),
K Rataj, W Czarnecki, S Podlewska, A Pocha, AJ Bojarski, Substructural Connectivity Fingerprint and Extreme Entropy Machines—A New Method of Compound Representation and Analysis, Molecules 23 (6), 1242 (2018)
Igor Podolak, Adam Roman, Marek Szykuła, Bartosz Zieliński A machine learning approach to synchronization of automata, EXPERT SYST APPL (2018), 357-371
Mateusz Juda, Markus Seidl, Matthias Zeppelzauer, Bartosz Zieliński A Study on Topological Descriptors for the Analysis of 3D Surface Texture, COMPUT VIS IMAGE UND vol. 167 (2018), 74-88
Przemysław Spurek, Łukasz Struski, Jacek Tabor Lossy Compression Approach to Subspace Clustering, INFORM SCIENCES vol. 435 (2018), 161-183
J Schwarz, J Luketina, WM Czarnecki, A Grabska-Barwinska, YW Teh, ..., Progress & Compress: A scalable framework for continual learning, ICML 2018 (2018)
WM Czarnecki, SM Jayakumar, M Jaderberg, L Hasenclever, YW Teh, ..., Mix&Match-Agent Curricula for Reinforcement Learning, ICML 2018 (2018)
S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ..., Kickstarting Deep Reinforcement Learning, arXiv preprint arXiv:1803.03835 (2018)
A Roman, Thinking-Driven Testing: The Most Reasonable Approach to Quality Control, Springer (2018)
S Jastrzębski, Z Kenton, N Ballas, A Fischer, Y Bengio, A Storkey, DNN's Sharpest Directions Along the SGD Trajectory, arXiv preprint arxiv:1807.05031, Short version accepted into Modern Trends… (2018)



Theory of missing data

prof. Jacek Tabor, dr Łukasz Struski, dr Marek Śmieja, dr Bartosz Zieliński
2016-2019, NCN OPUS 10

Clustering algorithm, which uses generalized Gaussian distribution and non-normal distributions

dr Przemysław Spurek
2016-2019, NCN SONATA 10

Detectors and descriptors of the key points based on the topological information

dr Bartosz Zieliński, dr Mateusz Juda
2016-2019, NCN SONATA 10

Algorithmical aspects of synchronization

dr Adam Roman
2016-2019, NCN OPUS 9

Application of neural networks in politology

dr hab. Igor Podolak (grant coordinated by dr hab. Łukasz Wordliczek)
2015-2018, NCN OPUS 8

Knowledge enriched sparse word embedding

lic. Stanisław Jastrzębski (under supervision of dr hab. Jacek Tabor)
2015-2018, MNiSW Diamentowy Grant 4

Minimal Memory Clustering Paradigm

dr hab. Jacek Tabor, dr hab. Igor Podolak, prof. dr hab. Andrzej Bojarski, mgr Przemysław Spurek, mgr Marek Śmieja, mgr Wojciech Czarnecki, mgr Sabina Smusz
2015-2017, NCN OPUS 7

Development of machine learning methods with applications to chemical compound activity prediction

mgr Marek Śmieja
2015-2017, NCN PRELUDIUM 7

A novel approach to de novo genome assembly problem based on UCT

mgr Ewa Matczyńska
2014-2017, NCN PRELUDIUM 6

The memory center

mgr Przemysław Spurek
2014-2017, NCN PRELUDIUM 5

Novel active learning querying strategy for the machine learning models

mgr Wojciech M. Czarnecki
2014-2017, NCN PRELUDIUM 5


Rector prize for scientific achievements

prof. Jacek Tabor, dr Wojciech Czarnecki, dr Przemysław Spurek
2015, UJ

Scholarship of Polish Minister Of Science

lic. Stanisław Jastrzębski
2015, MNiSW

Best paper award at CORES'15

mgr Wojciech Czarnecki and dr hab. Jacek Tabor

4th place in TRADESHIFT competition

lic. Stanisław Jastrzębski, Rafał Józefowicz (Google), mgr Wojciech Czarnecki

5th place in CONNECTOMICS competition

mgr Wojciech Czarnecki, Rafał Józefowicz (Google)

Second prize at the SMP competition

Stanisław Jastrzębski (under supervision of dr hab. Igor Podolak)

Best presentation at CISIM'13

mgr Przemysław Spurek

Contact Us

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