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ORCIDChristian Offen
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2020 – today
- 2024
[i13]Christian Offen:
Machine learning of continuous and discrete variational ODEs with convergence guarantee and uncertainty quantification. CoRR abs/2404.19626 (2024)- [i12]Christian Offen:
Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification. CoRR abs/2407.07642 (2024) - [i11]Sofya Maslovskaya, Christian Offen, Sina Ober-Blöbaum, Pranav Singh, Boris Wembe:
Commutator-free Cayley methods. CoRR abs/2408.13043 (2024) - [i10]Sofya Maslovskaya, Sina Ober-Blöbaum, Christian Offen, Pranav Singh, Boris Wembe:
Adaptive higher order reversible integrators for memory efficient deep learning. CoRR abs/2410.09537 (2024) - 2023
- [j4]Sina Ober-Blöbaum, Christian Offen
:
Variational learning of Euler-Lagrange dynamics from data. J. Comput. Appl. Math. 421: 114780 (2023) - [j3]Michael Dellnitz, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum, Christian Offen, Sebastian Peitz, Karlson Pfannschmidt:
Efficient Time-Stepping for Numerical Integration Using Reinforcement Learning. SIAM J. Sci. Comput. 45(2): 579- (2023) - [c2]Christian Offen, Sina Ober-Blöbaum:
Learning Discrete Lagrangians for Variational PDEs from Data and Detection of Travelling Waves. GSI (1) 2023: 569-579 - [i9]Eva Dierkes, Christian Offen, Sina Ober-Blöbaum, Kathrin Flaßkamp:
Hamiltonian Neural Networks with Automatic Symmetry Detection. CoRR abs/2301.07928 (2023) - [i8]Christian Offen, Sina Ober-Blöbaum:
Learning discrete Lagrangians for variationalPDEs from data and detection of travelling waves. CoRR abs/2302.08232 (2023) - [i7]Christian Offen, Sina Ober-Blöbaum:
Learning of discrete models of variational PDEs from data. CoRR abs/2308.05082 (2023) - 2022
- [i6]Robert I. McLachlan, Christian Offen:
Backward error analysis for conjugate symplectic methods. CoRR abs/2201.03911 (2022) - [i5]Yana Lishkova, Paul Scherer, Steffen Ridderbusch, Mateja Jamnik, Pietro Liò, Sina Ober-Blöbaum, Christian Offen:
Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery. CoRR abs/2211.10830 (2022) - 2021
- [c1]Steffen Ridderbusch, Christian Offen, Sina Ober-Blöbaum, Paul Goulart:
Learning ODE Models with Qualitative Structure Using Gaussian Processes. CDC 2021: 2896 - [i4]Michael Dellnitz, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum, Christian Offen, Sebastian Peitz, Karlson Pfannschmidt:
Efficient time stepping for numerical integration using reinforcement learning. CoRR abs/2104.03562 (2021) - [i3]Christian Offen, Sina Ober-Blöbaum:
Symplectic integration of learned Hamiltonian systems. CoRR abs/2108.02492 (2021) - [i2]Sina Ober-Blöbaum, Christian Offen:
Variational integration of learned dynamical systems. CoRR abs/2112.12619 (2021) - 2020
- [j2]Robert I. McLachlan, Christian Offen:
Preservation of Bifurcations of Hamiltonian Boundary Value Problems Under Discretisation. Found. Comput. Math. 20(6): 1363-1400 (2020) - [i1]Robert I. McLachlan, Christian Offen:
Backward error analysis for variational discretisations of partial differential equations. CoRR abs/2006.14172 (2020)
2010 – 2019
- 2019
- [j1]Robert I. McLachlan, Christian Offen:
Symplectic integration of boundary value problems. Numer. Algorithms 81(4): 1219-1233 (2019)
Coauthor Index
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