Michael Tiemann

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 13

Top Topics

Differential Equations

Development Team

Top Venues

Publications

Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Michael Tiemann, Sebastian Trimpe
Combining Slow and Fast: Complementary Filtering for Dynamics Learning. CoRR (2023)
Michael Tiemann, Stefan Udelhofen, Lisa Fournier
What social media can tell us about essential occupations. GI-Jahrestagung (2023)
Katharina Ott, Michael Tiemann, Philipp Hennig, François-Xavier Briol
Bayesian Numerical Integration with Neural Networks. CoRR (2023)
Katharina Ott, Michael Tiemann, Philipp Hennig
Uncertainty and Structure in Neural Ordinary Differential Equations. CoRR (2023)
Katharina Ott, Michael Tiemann, Philipp Hennig, François-Xavier Briol
Baysian numerical integration with neural networks. UAI (2023)
Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Michael Tiemann, Sebastian Trimpe
Combining Slow and Fast: Complementary Filtering for Dynamics Learning. AAAI (2023)
David Duvenaud, Markus Heinonen, Michael Tiemann, Max Welling
Differential Equations and Continuous-Time Deep Learning (Dagstuhl Seminar 22332). Dagstuhl Reports 12 (8) (2022)
Katharina Ensinger, Friedrich Solowjow, Sebastian Ziesche, Michael Tiemann, Sebastian Trimpe
Structure-Preserving Gaussian Process Dynamics. ECML/PKDD (5) (2022)
Katharina Ott, Prateek Katiyar, Philipp Hennig, Michael Tiemann
ResNet After All: Neural ODEs and Their Numerical Solution. ICLR (2021)
Katharina Ensinger, Friedrich Solowjow, Michael Tiemann, Sebastian Trimpe
Symplectic Gaussian Process Dynamics. CoRR (2021)
Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems. CoRR (2020)
Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems. ICML (2020)
Katharina Ott, Prateek Katiyar, Philipp Hennig, Michael Tiemann
When are Neural ODE Solutions Proper ODEs? CoRR (2020)
Stan Ahalt, Larry Band, Laura Christopherson, Ray Idaszak, Chris Lenhardt, Barbara S. Minsker, Margaret Palmer, Mary Shelley, Michael Tiemann, Ann Zimmerman
Water Science Software Institute: Agile and Open Source Scientific Software Development. Comput. Sci. Eng. 16 (3) (2014)
Stan Ahalt, Barbara S. Minsker, Michael Tiemann, Larry Band, Margaret Palmer, Ray Idaszak, Chris Lenhardt, Mary C. Whitton
Water science software institute: an open source engagement process. SE-CSE@ICSE (2013)
Thorsten Wagner, Sören Krotzky, Alexander Weiß, Tilman Sauerwald, Claus-Dieter Kohl, Jan Roggenbuck, Michael Tiemann
A High Temperature Capacitive Humidity Sensor Based on Mesoporous Silica. Sensors 11 (3) (2011)
Michael Tiemann
Exonovation - Leveraging the Innovation of Others. CSEE&T (2008)
Michael Tiemann
An objective definition of open standards. Comput. Stand. Interfaces 28 (5) (2006)