Michael Tiemann

According to our database, Michael Tiemann authored at least 19 papers between 2006 and 2024.

Collaborative distances:

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

2024

Towards a Datatset of Digitalized Historical German VET and CVET Regulations.

Thomas Reiser, Jens Dörpinghaus, Petra Steiner, Michael Tiemann

Data, 2024

Comparing a legacy tools taxonomy with digital tools from Computer Science Ontology.

Michael Tiemann, Jens Dörpinghaus, Venkatesh Hariharapura Shivashankar, Ralf Dorau

Proceedings of the 54. Jahrestagung der Gesellschaft für Informatik, 2024

An analysis of Computer Science in OJAs with a dual-lingual ontology approach.

Michael Tiemann, Jens Dörpinghaus, Venkatesh Hariharapura Shivashankar

Proceedings of the 54. Jahrestagung der Gesellschaft für Informatik, 2024

2023

Uncertainty and Structure in Neural Ordinary Differential Equations.

Katharina Ott, Michael Tiemann, Philipp Hennig

CoRR, 2023

Bayesian Numerical Integration with Neural Networks.

Katharina Ott, Michael Tiemann, Philipp Hennig, François-Xavier Briol

CoRR, 2023

Baysian numerical integration with neural networks.

Katharina Ott, Michael Tiemann, Philipp Hennig, François-Xavier Briol

Proceedings of the Uncertainty in Artificial Intelligence, 2023

What social media can tell us about essential occupations.

Michael Tiemann, Stefan Udelhofen, Lisa Fournier

Proceedings of the 53. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2023, Designing Future, 2023

Combining Slow and Fast: Complementary Filtering for Dynamics Learning.

Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Michael Tiemann, Sebastian Trimpe

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Differential Equations and Continuous-Time Deep Learning (Dagstuhl Seminar 22332).

David Duvenaud, Markus Heinonen, Michael Tiemann, Max Welling

Dagstuhl Reports, 2022

Structure-Preserving Gaussian Process Dynamics.

Katharina Ensinger, Friedrich Solowjow, Sebastian Ziesche, Michael Tiemann, Sebastian Trimpe

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Symplectic Gaussian Process Dynamics.

Katharina Ensinger, Friedrich Solowjow, Michael Tiemann, Sebastian Trimpe

CoRR, 2021

ResNet After All: Neural ODEs and Their Numerical Solution.

Katharina Ott, Prateek Katiyar, Philipp Hennig, Michael Tiemann

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

When are Neural ODE Solutions Proper ODEs?

Katharina Ott, Prateek Katiyar, Philipp Hennig, Michael Tiemann

CoRR, 2020

Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems.

Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig

Proceedings of the 37th International Conference on Machine Learning, 2020

2014

Water Science Software Institute: Agile and Open Source Scientific Software Development.

Stan Ahalt, Larry Band, Laura Christopherson, Ray Idaszak, Chris Lenhardt, Barbara S. Minsker, Margaret Palmer, Mary Shelley, Michael Tiemann, Ann Zimmerman

Comput. Sci. Eng., 2014

2013

Water science software institute: an open source engagement process.

Stan Ahalt, Barbara S. Minsker, Michael Tiemann, Larry Band, Margaret Palmer, Ray Idaszak, Chris Lenhardt, Mary C. Whitton

Proceedings of the 5th International Workshop on Software Engineering for Computational Science and Engineering, 2013

2011

A High Temperature Capacitive Humidity Sensor Based on Mesoporous Silica.

Thorsten Wagner, Sören Krotzky, Alexander Weiß, Tilman Sauerwald, Claus-Dieter Kohl, Jan Roggenbuck, Michael Tiemann

Sensors, 2011

2008

Exonovation - Leveraging the Innovation of Others.

Michael Tiemann

Proceedings of the Proceedings 21st Conference on Software Engineering Education and Training, 2008

2006

An objective definition of open standards.

Michael Tiemann

Comput. Stand. Interfaces, 2006