Project

Extended Gaussian Processes in Meta-Learning (few-shot regression)

Positions: Student Researcher

Created: 2023-10-22 Deadline:

Location: Poland

The aim of this project is to extend the Non-Gaussian Gaussian Processes framework in the sense of flexibility (e.g., adding the conditional case based on support set data).

General must-have requirements

PyTorch

Contact: Marcin Sendera, Tomasz Kuśmierczyk (marcin.sendera [ at ] gmail.com)

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