Host: Gregor Lied
This reading group investigates the theoretical foundations and architectural design space of Geometric Graph Neural Networks for 3D atomic systems.
Host: Tom Neuhäuser
A deep dive into the world of multimodal foundation models for histopathology.
Host: Lorenz Hufe
Sometimes everybody needs to know what is going on inside a (language) model
Host: Raphael Reinauer
Long story short, we read papers about language models and language modeling
Host: Jarek Liesen
We read papers about optimizers and their properties to learn how to optimize even further
Host: Jakob Hackstein
Something students should know about. Its super effective in learning representations from unlabeled data.
Host: Leo Pinetzki
We Heard You Like AI so here we explored many audio related papers
Host: Jarek Liesen
Introduction to deep reinforcement learning by exploration of many relevant and foundational papers
Host: Jarek Liesen
We read papers based on proposals from the group
