Christian Lagemann

According to our database, Christian Lagemann authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A deep learning approach to wall-shear stress quantification: From numerical training to zero-shot experimental application.

Esther Lagemann, Julia Roeb, Steven L. Brunton, Christian Lagemann

CoRR, 2024

Invariance-based Learning of Latent Dynamics.

Kai Lagemann, Christian Lagemann, Sach Mukherjee

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Deep learning of causal structures in high dimensions under data limitations.

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

Nat. Mac. Intell., October, 2023

Uncovering wall-shear stress dynamics from neural-network enhanced fluid flow measurements.

Esther Lagemann, Steven L. Brunton, Christian Lagemann

CoRR, 2023

Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers.

Kai Lagemann, Christian Lagemann, Sach Mukherjee

CoRR, 2023

2022

Deep Learning of Causal Structures in High Dimensions.

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

CoRR, 2022

2021

Deep recurrent optical flow learning for particle image velocimetry data.

Christian Lagemann, Kai Lagemann, Sach Mukherjee, Wolfgang Schröder

Nat. Mach. Intell., 2021