Publications 2022

• Deep Differentiable Logic Gate Networks
  Felix Petersen, Christian Borgelt, Hilde Kuehne, and Oliver Deussen
  Proc. 37th Int. Conf. on Neural Information Processing (NeurIPS 2022, New Orleans, LA, USA)
  doi:10.48550/arXiv.2210.08277 neurips.cc
  neurips_22.pdf (690 kb) (9/13 pages)
  
• Differentiable Top-k Classification Learning
  Felix Petersen, Hilde Kuehne, Christian Borgelt, Oliver Deussen
  Proc. 39th Int. Conf. on Machine Learning (ICML 2022, Baltimore, MD, USA), 17656-17668
  doi:10.48550/arXiv.2206.07290 PMLR 162:17656-17668
  icml_22.pdf (695 kb) (10/13 pages)
  video: youtu.be/J-lZV72DCic
• Monotonic Differentiable Sorting Networks
  Felix Petersen, Christian Borgelt, Hilde Kuehne, and Oliver Deussen.
  Proc. 10th Int. Conf. on Learning Representations (ICLR 2022, online)
  doi:10.48550/arXiv.2203.09630 openreview.net
  iclr_22.pdf (873 kb) (11/17 pages)
  video: youtu.be/Rl-sFaE1z4M
• GenDR: A Generalized Differentiable Renderer
  Felix Petersen, Bastian Goldlücke, Christian Borgelt, and Oliver Deussen.
  Proc. Int. Conf. on Computer Vision and Pattern Recognition (CVPR 2022, New Orleans, LA, USA), 3992-4001
  doi:10.48550/arXiv.2204.13845 computer.org
  cvpr_22.pdf (5271 kb) (8/17 pages)
  video: youtu.be/p-ZCcUWzriE
• Computational Intelligence — A Methodological Introduction, 3rd edition
  Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, and Matthias Steinbrecher
  Springer-Verlag, Berlin/Heidelberg, Germany 2022, ISBN 978-3-030-42227-1
  doi:10.1007/978-3-030-42227-1 springer.com (3rd, extended edition 2022, 653 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.