Publications 2023

• ISAAC Newton: Input-based Approximate Curvature for Newton's Method
  Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, and Oliver Deussen
  Proc. 11th Int. Conf. on Learning Representations (ICLR 2023, Kigali, Rwanda)
  doi:10.48550/arXiv.2305.00604 openreview.net
  iclr_23.pdf (909 kb) (9/15 pages)
• Generalisability of Sleep Stage Classification Based on Interbeat Intervals: Validating Three Machine Learning Approaches on Self-recorded Test Data
  Stefan Kranzinger, Sebastian Baron, Christina Kranzinger, Dominik Heib, and Christian Borgelt
  Behaviormetrika, Springer Nature, Switzerland 2023
  doi:10.1007/s41237-023-00199-x springer.com
  bmet_23.pdf (737 kb) (18 pages)
• Trustworthy Medical Operational AI: Marrying AI and Regulatory Requirements
  Fabian Berns, Georg Zimmermann, Christian Borgelt, Niclas Heilig, Jan Kirchhoff, and Florian Stumpe
  Proc. IEEE Int. Conf. on Big Data (BigData 2023, Sorrento, Italy), 2700--2704
  doi:10.1109/BigData59044.2023.10386683 IEEE Digital Library
  (5 pages)

The publications made available on these pages as PDF or Postcript files are, unless published as Open Access, preliminary draft versions that may deviate from the finally published printed versions that are subject to copyright restrictions.