8. 12.

Luca Hermes

Challenges in Graph Advanced Learning

pdf

24. 11.

Marek Dědič

Graph Neural Networks for Adaptive Coarsening of Graphs

pdf

10. 11.

Petr Váňa

Combining Continuous and Combinatorial Optimization for Multi-goal Trajectory Planning

pdf

27. 10.

Kenny Schlegel

An Introduction to Hyperdimensional Computing and Its Applications

pdf

13. 10.

Petr Pulc

Knowledge Extraction from Multimedia Content

pdf

29.  9.

Alexander Behr

Modelling Knowledge with Ontologies for Catalysis Research

pdf

19.  5.

Michael Steininger

Density-based Weighting for Imbalanced Regression

pdf,mp4

 5.  5.

Timon Sachweh

Differentially Private Learning from Label Proportions for Privacy Preserving Route Planning

pdf

22.  4.

Zbyněk Pitra

Surrogate Modeling and Landscape Analysis for Evolutionary Black-box Optimization

pdf

 7.  4.

Florian Linsner

Uncertainty Estimation in Federated Deep Learning

pdf

24.  3.

Irina Perfilieva

Manifolds as a Useful Data Structure

pdf

10.  3.

Yash Patel

Training Neural Networks on Non-Differentiable Losses

pdf