Deep recurrent optical flow learning for particle image velocimetry data. - Christian Lagemann; Kai Lagemann; Sach Mukherjee; Wolfgang Schröder 001 (Nat. Mach. Intell., 2021)

Deep Learning of Causal Structures in High Dimensions. - Kai Lagemann; Christian Lagemann; Bernd Taschler; Sach Mukherjee (CoRR, 2022)

Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers. - Kai Lagemann; Christian Lagemann; Sach Mukherjee (CoRR, 2023)

Deep learning of causal structures in high dimensions under data limitations. - Kai Lagemann; Christian Lagemann; Bernd Taschler; Sach Mukherjee (Nat. Mac. Intell., 2023)

Invariance-based Learning of Latent Dynamics. - Kai Lagemann; Christian Lagemann; Sach Mukherjee (ICLR, 2024)

Deep Learning for Causal Inference and Latent Dynamical Modeling in Biomedical Research - Kai Lagemann (2024)

HydroGym: A Reinforcement Learning Platform for Fluid Dynamics. - Christian Lagemann; Ludger Paehler; Jared Callaham; Sajeda Mokbel; Samuel Ahnert; Kai Lagemann; Esther Lagemann; Nikolaus A. Adams; Steven L. Brunton (L4DC, 2025)