BibTeX Export for Distributed Algorithms as a Gateway To Deductive Learning (Invited Talk)

Copy to Clipboard Download

@InProceedings{wattenhofer:LIPIcs.OPODIS.2023.3,
  author =	{Wattenhofer, Roger},
  title =	{{Distributed Algorithms as a Gateway To Deductive Learning}},
  booktitle =	{27th International Conference on Principles of Distributed Systems (OPODIS 2023)},
  pages =	{3:1--3:1},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-308-9},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{286},
  editor =	{Bessani, Alysson and D\'{e}fago, Xavier and Nakamura, Junya and Wada, Koichi and Yamauchi, Yukiko},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2023.3},
  URN =		{urn:nbn:de:0030-drops-194936},
  doi =		{10.4230/LIPIcs.OPODIS.2023.3},
  annote =	{Keywords: abstract visual reasoning, agent-based reasoning, classic algorithm benchmarks, differentiable status registers, explainable graphs, graph generation algorithms, integer sequences, neural combinatorial circuits, recurrent network algorithms, origami folding, Tatham’s puzzles}
}

The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.

Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode