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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. arXiv preprint arXiv:2104.06184, 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. arXiv preprint arXiv:2010.04519, 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