Project

Bayesian Continual learning

Positions: Student Researcher

Created: 2023-10-22 Deadline:

Location: Poland

Recently my academic focus is on continual learning. I am interested in Bayesian learning, optimization. Any reasonable combination (potentially with generative modelling) would be a fantastic project for me. If you don’t have any particular ideas, I do have something to offer!

General must-have requirements

Nice to have strong maths background.The student needs to know how to program in either tensorflow and pytorch (In order to undestand the present code and implement new methods).

Contact: Mateusz Pyla (mateusz.pyla [ at ] doctoral.uj.edu.pl.)

Project's lab:

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 settings. 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 participants to collaborate with us on various ongoing research projects - learn more here.

See lab's page