I am a PhD student at the machine learning group of Prof. Dr. Ulf Brefeld at the Leuphana University of Lüneburg and an employee of SAP SE, Berlin, since April 2019.
Prior to that, I received a Master of Science in Management & Data Science from Leuphana University of Lüneburg and a Bachelor of Science in Economics from University of Hagen.
Further, I hold a Diploma in Fine Art from Braunschweig University of Art and have a professional background in publishing.

My current research focuses on generative modeling and specifically (conditional) variational autoencoders, as well as learning interactions in multiagent systems.

• DATAx: Data analysis with Python (WS22)

• Y. Rudolph and U. Brefeld. Modeling Conditional Dependencies in Multiagent Trajectories. International Conference on Artificial Intelligence and Statistics, 2022.
• Y. Rudolph, S. G. Fadel, S. Mair, and U. Brefeld. Studying the Propagation of Information in VAE Decoders. (abstract). Northern Lights Deep Learning Conference, 2022.
• Y. Rudolph, U. Brefeld and U. Dick. Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?. I Can’t Believe It’s Not Better Workshop @ NeurIPS, 2020.
• S. Mair, Y. Rudolph, V. Closius and U. Brefeld. Frame-based Optimal Design. Proceedings of the European Conference on Machine Learning, 2018. [link]