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:
- generative models: efficient training and sampling; inpainting; super-resolution,
- theoretical understanding of deep learning and optimization,
- natural language processing,
- drug design and cheminformatics,
- unsupervised learning and clustering,
- computer vision and medical image analysis.
In 2023, we organized the second edition of Machine Learning Summer School (MLSS^S) with a focus on Applications in Science.
We invite the participants to collaborate with us on various ongoing research projects - learn more here.
Aleksandra Nowak, Łukasz Gniecki, Filip Szatkowski, Jacek Tabor
ICML 2024
Michał Zając, Tinne Tuytelaars, Gido M. van de Ven
ICLR 2024
Grzegorz Rypeść, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Zieliński, Bartłomiej Twardowski
ICLR 2024
Farnoud Ghasemi, Rafał Kucharski
AAMAS 2024
Mikołaj Sacha, Bartosz Jura, Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Bartosz Zieliński
AAAI 2024
Marcin Przewięźlikowski
PRELUDIUM 22