Yannick Vogt
PhD Student
.
I am generally interested in the following topics:
- Deep Reinforcement Learning
- Model-Based Reinforcement Learning
- Offline Reinforcement Learning
- Uncertainty-driven Reinforcement Learning
Contact
Projects
- Uncertainty-driven Offline Reinforcement Learning (Master Thesis)
- Utilizing Uncertainties of estimated Q-Values for Exploration and Replay (Master Project)
Preprints
- Yannick Vogt, Mehdi Naouar, Maria Kalweit, Cornelius Miething, Justus Duyster, Joschka Boedecker and Gabriel Kalweit. BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design. arxiv
Publications
2024
- Gabriel Kalweit, Anusha Klett, Mehdi Naouar, Jens Rahnfeld, Yannick Vogt, Diana Laura Infante Ramirez, Rebecca Berger, Jesus Duque Afonso, Tanja Nicole Hartmann, Marie Follo, Michael Luebbert, Roland Mertelsmann, Evelyn Ullrich, Joschka Boedecker and Maria Kalweit. Unsupervised Feature Extraction from a Foundation Model Zoo for Cell Similarity Search in Oncological Microscopy Across Devices. Accepted at the ICML 2024 Workshop on Foundation Models in the Wild.
2023
- Yannick Vogt, Mehdi Naouar, Maria Kalweit, Cornelius Miething, Justus Duyster, Roland Mertelsmann, Gabriel Kalweit and Joschka Boedecker. Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design. NeurIPS 2023 Workshop on Machine Learning in Structural Biology. arxiv
- Mehdi Naouar, Gabriel Kalweit, Anusha Klett, Yannick Vogt, Paula Silvestrini, Diana Infante, Roland Mertelsmann, Joschka Boedecker and Maria Kalweit. CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations. NeurIPS 2023 Workshop on Medical Imaging. arxiv