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  1. Commutator-free Cayley methods

    Article • Journal of Computational and Applied Mathematics, May 2026, Elsevier

    Christian Offen

  2. Multiphoton, multimode state classification for nonlinear optical circuits

    Article • Physical Review Research, July 2025, American Physical Society (APS)

    Christian Offen

  3. Machine learning of continuous and discrete variational ODEs with convergence guarantee and uncertainty quantification

    Article • Mathematics of Computation, June 2025, American Mathematical Society (AMS)

    Christian Offen

  4. Learning of discrete models of variational PDEs from data

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, January 2024, American Institute of Physics

    Christian Offen

  5. Hamiltonian neural networks with automatic symmetry detection

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, June 2023, American Institute of Physics

    Eva Dierkes, Christian Offen

  6. Efficient Time-Stepping for Numerical Integration Using Reinforcement Learning

    Article • SIAM Journal on Scientific Computing, April 2023, Society for Industrial & Applied Mathematics (SIAM)

    Christian Offen

  7. Variational learning of Euler–Lagrange dynamics from data

    Article • Journal of Computational and Applied Mathematics, March 2023, Elsevier

    Christian Offen

  8. Backward error analysis for conjugate symplectic methods

    Article • Journal of Geometric Mechanics, January 2023, American Institute of Mathematical Sciences (AIMS)

    Christian Offen

  9. Learning Discrete Lagrangians for Variational PDEs from Data and Detection of Travelling Waves

    Article • January 2023, Springer Science + Business Media

    Christian Offen

  10. Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery

    Article • IFAC-PapersOnLine, January 2023, Elsevier

    Christian Offen

  11. Symplectic integration of learned Hamiltonian systems

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, January 2022, American Institute of Physics

    Christian Offen

  12. Backward error analysis for variational discretisations of PDEs

    Article • Journal of Geometric Mechanics, January 2022, American Institute of Mathematical Sciences (AIMS)

    Christian Offen

  13. Learning ODE Models with Qualitative Structure Using Gaussian Processes

    Article • December 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Christian Offen

  14. Bifurcation preserving discretisations of optimal control problems

    Article • IFAC-PapersOnLine, January 2021, Elsevier

    Christian Offen

  15. Detection of high codimensional bifurcations in variational PDEs

    Article • Nonlinearity, March 2020, Institute of Physics Publishing

    Christian Offen

  16. Preservation of Bifurcations of Hamiltonian Boundary Value Problems Under Discretisation

    Article • Foundations of Computational Mathematics, March 2020, Springer Science + Business Media

    Christian Offen

  17. Hamiltonian Boundary Value Problems, Conformal Symplectic Symmetries, and Conjugate Loci

    Article • New Zealand Journal of Mathematics, December 2018, New Zealand Journal of Mathematics Committee

    Christian Offen

  18. Symplectic integration of boundary value problems

    Article • Numerical Algorithms, September 2018, Springer Science + Business Media

    Christian Offen

  19. Bifurcation of solutions to Hamiltonian boundary value problems

    Article • Nonlinearity, May 2018, Institute of Physics Publishing

    Christian Offen

  20. Symplectic integration of PDEs using Clebsch variables

    Article • Journal of Computational Dynamics, January 2018, American Institute of Mathematical Sciences (AIMS)

    Christian Offen