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Staff Dr. Tim Jahn

Contact Information

Institut für Numerische Simulation
Friedrich-Hirzebruch-Allee 7
53115 Bonn
Phone: +49 228 73--69813
Office: FHA7 3.005
E-Mail: ed tod nnob-inu tod sni ta nhaja tod b@foo tod de


Winter semester 2021/22

See teaching activities of the whole group.


  1. A modified discrepancy principle to attain optimal convergence rates under unknown noise. T. Jahn. Inverse Problems, 37(9):095008, 2021. BibTeX DOI arxiv
  2. Optimal convergence of the discrepancy principle for polynomially and exponentially ill-posed operators under white noise. T. Jahn. accepted for publication by Numerical Functional Analysis and Optimization, 2021. BibTeX arxiv
  3. Beyond the bakushinkii veto: regularising linear inverse problems without knowing the noise distribution. B. Harrach, T. Jahn, and R. Potthast. Numerische Mathematik, 145(3):581–603, 2020. BibTeX DOI arxiv
  4. Regularising linear inverse problems under unknown non-gaussian white noise. B. Harrach, T. Jahn, and R. Potthast. accepted for publication by IMA Journal of Numerical Analysis, 2020. BibTeX arxiv
  5. On the discrepancy principle for stochastic gradient descent. T. Jahn and B. Jin. Inverse Problems, 36(9):095009, 2020. BibTeX DOI arxiv
  6. The sensorimotor loop as a dynamical system: how regular motion primitives may emerge from self-organized limit cycles. B. Sándor, T. Jahn, L. Martin, and C. Gros. Frontiers in Robotics and AI, 2:31, 2015. BibTeX DOI