Christian Offen

20 papers Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Commutator-free Cayley methods. J. Comput. Appl. Math. Boris Wembe, Christian Offen, Sofya Maslovskaya, Sina Ober-Blöbaum, Pranav Singh
2024	J	`jnl`	Adaptive higher order reversible integrators for memory efficient deep learning. CoRR Sofya Maslovskaya, Sina Ober-Blöbaum, Christian Offen, Pranav Singh, Boris Wembe
2024	J	`jnl`	Commutator-free Cayley methods. CoRR Sofya Maslovskaya, Christian Offen, Sina Ober-Blöbaum, Pranav Singh, Boris Wembe
2024	J	`jnl`	Machine learning of continuous and discrete variational ODEs with convergence guarantee and uncertainty quantification. CoRR Christian Offen
2024	J	`jnl`	Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification. CoRR Christian Offen
2023	J	`jnl`	Efficient Time-Stepping for Numerical Integration Using Reinforcement Learning. SIAM J. Sci. Comput. Michael Dellnitz, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum, Christian Offen, Sebastian Peitz, Karlson Pfannschmidt
2023	J	`jnl`	Hamiltonian Neural Networks with Automatic Symmetry Detection. CoRR Eva Dierkes, Christian Offen, Sina Ober-Blöbaum, Kathrin Flaßkamp
2023	—	`conf`	Learning Discrete Lagrangians for Variational PDEs from Data and Detection of Travelling Waves. GSI (1) Christian Offen, Sina Ober-Blöbaum
2023	J	`jnl`	Learning discrete Lagrangians for variationalPDEs from data and detection of travelling waves. CoRR Christian Offen, Sina Ober-Blöbaum
2023	J	`jnl`	Learning of discrete models of variational PDEs from data. CoRR Christian Offen, Sina Ober-Blöbaum
2023	J	`jnl`	Variational learning of Euler-Lagrange dynamics from data. J. Comput. Appl. Math. Sina Ober-Blöbaum, Christian Offen
2022	J	`jnl`	Backward error analysis for conjugate symplectic methods. CoRR Robert I. McLachlan, Christian Offen
2022	J	`jnl`	Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery. CoRR Yana Lishkova, Paul Scherer, Steffen Ridderbusch, Mateja Jamnik, Pietro Liò, Sina Ober-Blöbaum, Christian Offen
2021	J	`jnl`	Efficient time stepping for numerical integration using reinforcement learning. CoRR Michael Dellnitz, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum, Christian Offen, Sebastian Peitz, Karlson Pfannschmidt
2021	—	`conf`	Learning ODE Models with Qualitative Structure Using Gaussian Processes. CDC Steffen Ridderbusch, Christian Offen, Sina Ober-Blöbaum, Paul Goulart
2021	J	`jnl`	Symplectic integration of learned Hamiltonian systems. CoRR Christian Offen, Sina Ober-Blöbaum
2021	J	`jnl`	Variational integration of learned dynamical systems. CoRR Sina Ober-Blöbaum, Christian Offen
2020	J	`jnl`	Backward error analysis for variational discretisations of partial differential equations. CoRR Robert I. McLachlan, Christian Offen
2020	J	`jnl`	Preservation of Bifurcations of Hamiltonian Boundary Value Problems Under Discretisation. Found. Comput. Math. Robert I. McLachlan, Christian Offen
2019	J	`jnl`	Symplectic integration of boundary value problems. Numer. Algorithms Robert I. McLachlan, Christian Offen