Introduction to Geometric Learning in Python with Geomstats. - Nina Miolane; Nicolas Guigui; Hadi Zaatiti; Christian Shewmake; Hatem Hajri; Daniel Brooks; Alice Le Brigant; Johan Mathe; Benjamin Hou; Yann Thanwerdas; Stefan Heyder; Olivier Peltre; et al. (SciPy, 2020)

Geomstats: A Python Package for Riemannian Geometry in Machine Learning. - Nina Miolane; Alice Le Brigant; Johan Mathe; Benjamin Hou; Nicolas Guigui; Yann Thanwerdas; Stefan Heyder; Olivier Peltre; Niklas Koep; Hadi Zaatiti; Hatem Hajri; Yann Cabanes; et al. (CoRR, 2020)

How to Coordinate Vaccination and Social Distancing to Mitigate SARS-CoV-2 Outbreaks. - Sara Grundel; Stefan Heyder; Thomas Hotz; Tobias K. S. Ritschel; Philipp Sauerteig; Karl Worthmann (SIAM J. Appl. Dyn. Syst., 2021)

How Much Testing and Social Distancing is Required to Control COVID-19? Some Insight Based on an Age-Differentiated Compartmental Model. - Sara Grundel; Stefan Heyder; Thomas Hotz; Tobias K. S. Ritschel; Philipp Sauerteig; Karl Worthmann (SIAM J. Control. Optim., 2022)

Linear versus Quadratic Detrending in Analyzing Simultaneous Changes in DC-EEG and Transcutaneous pCO2. - Yi Lin Yeo; Mehmet E. Kirlangic; Stefan Heyder; Eko Supriyanto; Maheza Irna Mohamad Salim; Patrique Fiedler; Jens Haueisen (EMBC, 2023)

Collaborative nowcasting of COVID-19 hospitalization incidences in Germany. - Daniel Wolffram; Sam Abbott; Matthias an der Heiden; Sebastian Funk; Felix Günther 003; Davide Hailer; Stefan Heyder; Thomas Hotz; Jan van de Kassteele; Helmut Küchenhoff; Sören Müller-Hansen; Diellë Syliqi; et al. (PLoS Comput. Biol., 2023)

Why are different estimates of the effective reproductive number so different? A case study on COVID-19 in Germany. - Elisabeth K. Brockhaus; Daniel Wolffram; Tanja Stadler; Michael Osthege; Tanmay Mitra; Jonas M. Littek; Ekaterina A. Krymova; Anna J. Klesen; Jana S. Huisman; Stefan Heyder; Laura Marie Helleckes; Matthias an der Heiden; et al. (PLoS Comput. Biol., 2023)