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Michael Tiemann
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2020 – today
- 2024
- [j4]Thomas Reiser, Jens Dörpinghaus, Petra Steiner, Michael Tiemann:
Towards a Datatset of Digitalized Historical German VET and CVET Regulations. Data 9(11): 128 (2024) - [c10]Michael Tiemann, Jens Dörpinghaus, Venkatesh Hariharapura Shivashankar:
An analysis of Computer Science in OJAs with a dual-lingual ontology approach. INFORMATIK 2024: 2047-2058 - [c9]Michael Tiemann, Jens Dörpinghaus, Venkatesh Hariharapura Shivashankar, Ralf Dorau:
Comparing a legacy tools taxonomy with digital tools from Computer Science Ontology. INFORMATIK 2024: 2059-2061 - 2023
- [c8]Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Michael Tiemann, Sebastian Trimpe:
Combining Slow and Fast: Complementary Filtering for Dynamics Learning. AAAI 2023: 7476-7484 - [c7]Michael Tiemann, Stefan Udelhofen, Lisa Fournier:
What social media can tell us about essential occupations. GI-Jahrestagung 2023: 1983-1992 - [c6]Katharina Ott, Michael Tiemann, Philipp Hennig, François-Xavier Briol:
Baysian numerical integration with neural networks. UAI 2023: 1606-1617 - [i7]Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Michael Tiemann, Sebastian Trimpe:
Combining Slow and Fast: Complementary Filtering for Dynamics Learning. CoRR abs/2302.13754 (2023) - [i6]Katharina Ott, Michael Tiemann, Philipp Hennig, François-Xavier Briol:
Bayesian Numerical Integration with Neural Networks. CoRR abs/2305.13248 (2023) - [i5]Katharina Ott, Michael Tiemann, Philipp Hennig:
Uncertainty and Structure in Neural Ordinary Differential Equations. CoRR abs/2305.13290 (2023) - 2022
- [c5]Katharina Ensinger, Friedrich Solowjow, Sebastian Ziesche, Michael Tiemann, Sebastian Trimpe:
Structure-Preserving Gaussian Process Dynamics. ECML/PKDD (5) 2022: 140-156 - [i4]David Duvenaud, Markus Heinonen, Michael Tiemann, Max Welling:
Differential Equations and Continuous-Time Deep Learning (Dagstuhl Seminar 22332). Dagstuhl Reports 12(8): 20-30 (2022) - 2021
- [c4]Katharina Ott, Prateek Katiyar, Philipp Hennig, Michael Tiemann:
ResNet After All: Neural ODEs and Their Numerical Solution. ICLR 2021 - [i3]Katharina Ensinger, Friedrich Solowjow, Michael Tiemann, Sebastian Trimpe:
Symplectic Gaussian Process Dynamics. CoRR abs/2102.01606 (2021) - 2020
- [c3]Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig:
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems. ICML 2020: 5198-5208 - [i2]Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig:
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems. CoRR abs/2002.09301 (2020) - [i1]Katharina Ott, Prateek Katiyar, Philipp Hennig, Michael Tiemann:
When are Neural ODE Solutions Proper ODEs? CoRR abs/2007.15386 (2020)
2010 – 2019
- 2014
- [j3]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): 18-26 (2014) - 2013
- [c2]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: 40-47 - 2011
- [j2]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): 3135-3144 (2011)
2000 – 2009
- 2008
- [c1]Michael Tiemann:
Exonovation - Leveraging the Innovation of Others. CSEE&T 2008: 17 - 2006
- [j1]Michael Tiemann:
An objective definition of open standards. Comput. Stand. Interfaces 28(5): 495-507 (2006)
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last updated on 2024-12-02 21:32 CET by the dblp team
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