Gegelati: Lightweight Artificial Intelligence through Generic and Evolvable Tangled Program Graphs

Karol Desnos, Nicolas Sourbier, Pierre-Yves Raumer, Olivier Gesny, Maxime Pelcat. Gegelati: Lightweight Artificial Intelligence through Generic and Evolvable Tangled Program Graphs. In Tomasz Kryjak, Andrea Pinna 0001, editors, DASIP '21: Workshop on Design and Architectures for Signal and Image Processing (14th edition) - in conjunction with HiPEAC 2021, Budapest, Hungary, January 18-20, 2021. pages 35-43, ACM, 2021. [doi]

@inproceedings{DesnosSRGP21,
  title = {Gegelati: Lightweight Artificial Intelligence through Generic and Evolvable Tangled Program Graphs},
  author = {Karol Desnos and Nicolas Sourbier and Pierre-Yves Raumer and Olivier Gesny and Maxime Pelcat},
  year = {2021},
  doi = {10.1145/3441110.3441575},
  url = {https://doi.org/10.1145/3441110.3441575},
  researchr = {https://researchr.org/publication/DesnosSRGP21},
  cites = {0},
  citedby = {0},
  pages = {35-43},
  booktitle = {DASIP '21: Workshop on Design and Architectures for Signal and Image Processing (14th edition) - in conjunction with HiPEAC 2021, Budapest, Hungary, January 18-20, 2021},
  editor = {Tomasz Kryjak and Andrea Pinna 0001},
  publisher = {ACM},
  isbn = {978-1-4503-8901-3},
}