Teaching
SoSe 2025
Student Publications
- Peter Blohm, Patrick Indri, Thomas Gärtner. Breaking Down the Radon Machine: the Geometry of a Robust Aggregation Scheme WAFL ECMLPKDD Workshop 2024.
- Florian Chen, Felix Weitkämper, Sagar Malhotra. Understanding Domain-Size Generalization in Markov Logic Networks ECMLPKDD 2024.
- Florian Chen, Thomas Gärtner. Scalable Interactive Data Visualization ECMLPKDD 2024.
- Andrei Dragos Brasoveanu, Fabian Jogl, Pascal Welke, Maximilian Thiessen. Extending Graph Neural Networks with Global Features. Learning on Graphs Conference 2023.
- Fabian Jogl, Maximilian Thiessen, and Thomas Gärtner. Weisfeiler and Leman Return with Graph Transformations. Mining and Learning with Graphs ECMLPKDD Workshop 2022.
- Fabian Jogl, Maximilian Thiessen, and Thomas Gärtner. Reducing Learning on Cell Complexes to Graphs. Geometrical and Topological Representation Learning ICLR Workshop 2022.
- Dominik Schmidt. Dojo: A Large Scale Benchmark for Multi-Task Reinforcement Learning. Agent Learning in Open-Endedness ICLR Workshop 2022.
- Fares Meghdouri, Thomas Schmied, Tanja Zseby, and Thomas Gärtner. Conditional Network Data Balancing With GANs. Deep Generative Models and Downstream Applications NeurIPS Workshop 2021.
- Dominik Schmidt and Thomas Schmied. Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari. Deep Reinforcement Learning NeurIPS Workshop 2021.
- Thomas Schmied and Maximilian Thiessen. Efficient Reinforcement Learning via Self-supervised learning and Model-based methods. Challenges of Real-World Reinforcement Learning NeurIPS Workshop 2020. (pdf)
Thesis opportunities
Consult this page for more information on how to write a thesis with our group.
Ongoing Thesis Supervision
- Andrei Brasoveanu: Extending Graph Neural Networks with Global Features (MSc Thesis)
- Mate Csikos-Nagy: Double-Descent in Graph Neural Networks (BSc Thesis)
- Felix Gross: Localized Graph Neural Networks (BSc Thesis)
- Bijan Nikkhah: Interactive Optimization of Sequence Submodular Functions (MSc Thesis)
- Tin Marin Tunjic: Using Temporal Information to Improve Learning of the Molecular Dynamics Simulation Trajectories for Proteins (MSc thesis)
History
Theses
- Peter Blohm - Breaking the Radon Machine - Investigating the Robustness of a Machine Learning Parallelization Scheme (BSc Thesis)
- Dominik Gall: How to Predict the Effectiveness of Bacteriophages (BSc Thesis)
- Nikola Georgiev: Predictive Maintenance of Damper Systems in the Real World Based on Simulated Data (BSc thesis)
- Sabrina Herbst: *Analysis of Bacteriophages—Predicting Hosts of Bacteriophages Based on
- Maximilian Holzmüller: Generating Levels with NEAT and Stochastic Gradient Descent (BSc thesis)
- Fabian Jogl: Do we need to Improve Message Passing? Improving Graph Neural Networks with Graph Transformations (MSc thesis)
- Philipp Lenz: Measuring Textual Reasoning in Neural Networks with External Memories (BSc thesis)
- Maximilian Plattner: On SGD with Momentum (MSc Thesis)
- Dominik Schmidt: Generalization and Transfer Learning in Multi-Task Reinforcement Learning (BSc thesis)
- Thomas Schmied: Self-supervised offline reinforcement learning for real-world decision-making agents (MSc thesis)
Molecular Sequence Data* (BSc thesis)
- Fabian Traxler: Antibody-Antigen Binding Affinity Prediction through the use of geometric deep learning (MSc thesis)
- Philip Vonderlind: Domain Transfer for Multi-Agent Reinforcement Learning (BSc thesis)
WiSe 2024/25 (click to expand)
SoSe 2024 (click to expand)
WiSe 2023/24 (click to expand)
SoSe 2023 (click to expand)
WiSe 2022/23 (click to expand)
SoSe 2022 (click to expand)
WiSe 2021/22 (click to expand)
SoSe 2021 (click to expand)
WiSe 2020/21 (click to expand)
- MSc Lecture - Theoretical Foundations and Research Topics in Machine Learning (VU)
- MSc Seminar - Theoretical Aspects of Machine Learning (SE)
- MSc Project - Machine Learning Algorithms and Applications (PR)
- BSc Seminar - Scientific Research and Writing