Christian Lagemann

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 6

Top Topics

High Dimensions

Bayesian Methods

Top Venues

Nat. Mac. Intell.

Nat. Mach. Intell.

Publications

Kai Lagemann, Christian Lagemann, Sach Mukherjee
Invariance-based Learning of Latent Dynamics. ICLR (2024)
Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee
Deep learning of causal structures in high dimensions under data limitations. Nat. Mac. Intell. 5 (11) (2023)
Esther Lagemann, Steven L. Brunton, Christian Lagemann
Uncovering wall-shear stress dynamics from neural-network enhanced fluid flow measurements. CoRR (2023)
Kai Lagemann, Christian Lagemann, Sach Mukherjee
Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers. CoRR (2023)
Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee
Deep Learning of Causal Structures in High Dimensions. CoRR (2022)
Christian Lagemann, Kai Lagemann, Sach Mukherjee, Wolfgang Schröder
Deep recurrent optical flow learning for particle image velocimetry data. Nat. Mach. Intell. 3 (7) (2021)