Sebastian Friedemann

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 5

Top Topics

Sequential Monte Carlo

Data Assimilation

Particle Filter

Top Venues

J. Comput. Sci.

J. Open Source Softw.

Int. J. High Perform. Comput. Appl.

Publications

Sebastian Friedemann, Kai Keller, Yen-Sen Lu, Bruno Raffin, Leonardo Bautista-Gomez
Dynamic load/propagate/store for data assimilation with particle filters on supercomputers. J. Comput. Sci. 76 (2024)
Sebastian Friedemann, Kai Keller, Yen-Sen Lu, Bruno Raffin, Leonardo Bautista-Gomez
A Framework for Large Scale Particle Filters Validated with Data Assimilation for Weather Simulation. CoRR (2023)
Marc Schouler, Robert Alexander Caulk, Lucas Thibaut Meyer, Théophile Terraz, Christoph Conrads, Sebastian Friedemann, Achal Agarwal, Juan Manuel Baldonado, Bartlomiej Pogodzinski, Anna Sekula, Alejandro Ribés, Bruno Raffin
Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses. J. Open Source Softw. 8 (87) (2023)
Sebastian Friedemann, Bruno Raffin
An elastic framework for ensemble-based large-scale data assimilation. Int. J. High Perform. Comput. Appl. 36 (4) (2022)
Sebastian Friedemann, Bruno Raffin
An elastic framework for ensemble-based large-scale data assimilation. CoRR (2020)