Christian Offen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Reinforcement Learning

Boundary Value Problem

Differential Equations

Top Venues

J. Comput. Appl. Math.

Found. Comput. Math.

Publications

Christian Offen
Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification. CoRR (2024)
Christian Offen
Machine learning of continuous and discrete variational ODEs with convergence guarantee and uncertainty quantification. CoRR (2024)
Sina Ober-Blöbaum, Christian Offen
Variational learning of Euler-Lagrange dynamics from data. J. Comput. Appl. Math. 421 (2023)
Christian Offen, Sina Ober-Blöbaum
Learning of discrete models of variational PDEs from data. CoRR (2023)
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) (2023)
Christian Offen, Sina Ober-Blöbaum
Learning Discrete Lagrangians for Variational PDEs from Data and Detection of Travelling Waves. GSI (1) (2023)
Christian Offen, Sina Ober-Blöbaum
Learning discrete Lagrangians for variationalPDEs from data and detection of travelling waves. CoRR (2023)
Eva Dierkes, Christian Offen, Sina Ober-Blöbaum, Kathrin Flaßkamp
Hamiltonian Neural Networks with Automatic Symmetry Detection. CoRR (2023)
Yana Lishkova, Paul Scherer, Steffen Ridderbusch, Mateja Jamnik, Pietro Liò, Sina Ober-Blöbaum, Christian Offen
Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery. CoRR (2022)
Robert I. McLachlan, Christian Offen
Backward error analysis for conjugate symplectic methods. CoRR (2022)
Steffen Ridderbusch, Christian Offen, Sina Ober-Blöbaum, Paul Goulart
Learning ODE Models with Qualitative Structure Using Gaussian Processes. CDC (2021)
Sina Ober-Blöbaum, Christian Offen
Variational integration of learned dynamical systems. CoRR (2021)
Christian Offen, Sina Ober-Blöbaum
Symplectic integration of learned Hamiltonian systems. CoRR (2021)
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 (2021)
Robert I. McLachlan, Christian Offen
Preservation of Bifurcations of Hamiltonian Boundary Value Problems Under Discretisation. Found. Comput. Math. 20 (6) (2020)
Robert I. McLachlan, Christian Offen
Backward error analysis for variational discretisations of partial differential equations. CoRR (2020)
Robert I. McLachlan, Christian Offen
Symplectic integration of boundary value problems. Numer. Algorithms 81 (4) (2019)