This page is constantly updated. Please check it regularly for more content on our ongoing and completed Theses.
Available Topics
- Graph Neural Networks (GNNs) for Protein-Ligand binding prediction
Vinh Tong, M.Sc - Efficient Data Generation for Simulation Science
Edgar Torres, M.Sc. - Partial differential equations (PDE)
Daniel Musekamp, M.Sc. - Towards robust and trustworthy Geometric Deep Learning
Andrei Manolache, M.Sc. - Machine Learning for Partial Differential Equations
Supervisor: Marimuthu Kalimuthu, M.Sc. - Vision and Language: Fusion Models, Flamingo
Supervisor: Marimuthu Kalimuthu, M.Sc. - Generative Modeling (VLM, LLM, Diffusion Models, etc.)
Supervisor: Marimuthu Kalimuthu, M.Sc. - Modeling Long Range Dependencies for Sequential Data
Supervisor: Marimuthu Kalimuthu, M.Sc. - Scalable and Efficient Multi-modal Learning Algorithm with Applications in Healthcare and Science
Supervisor: Duy Nguyen, M.Sc.
Due to data protection, not every Thesis conducted under the supervision of the MLS Department is listed in this section.
Ongoing Theses
- Stochastic Query Synthesis for Neural PDE Solvers
Author: Finn Ullrich, Bachelor's Thesis - Training Neuromorphic Devices with Spike-Based Feedback Control Algorithm - Applications for Robotic Control
Author: Johathan Haag, Master's Thesis
Completed Theses
- Model-Based Reinforcement Learning under Sparse Rewards
Master Thesis; Ravi Akash, 14.08.2023. - Data Attribution for Diffusion Models
Master Thesis, Tanja Bien - Influence estimation for attributing the unfairness Of GNNs to training data
Master Thesis; Min Wang, 16.10.2023. - Layout-to-Image for Defect Sythesis via Diffusion Models
Master Thesis; Xuefeng Hou, 02.01.2023. - Linear Transformers for Solving Parametric Partial Differential Equations
Bachelor Thesis, Jan Hagnberger; 08.01.2024