Capturing Neural-Networks as Synchronous Dataflow Graphs

Daniel Luenemann, Maher Fakih, Kim Grüttner. Capturing Neural-Networks as Synchronous Dataflow Graphs. In 23rd GMM/ITG/GI Workshop on Methods and Description Languages for Modelling and Verification of Circuits and Systems, MBMV 2020, Stuttgart, Germany, March 19-20, 2020. pages 1-10, VDE / IEEE, 2020. [doi]

@inproceedings{LuenemannFG20,
  title = {Capturing Neural-Networks as Synchronous Dataflow Graphs},
  author = {Daniel Luenemann and Maher Fakih and Kim Grüttner},
  year = {2020},
  url = {https://ieeexplore.ieee.org/document/9094536},
  researchr = {https://researchr.org/publication/LuenemannFG20},
  cites = {0},
  citedby = {0},
  pages = {1-10},
  booktitle = {23rd GMM/ITG/GI Workshop on Methods and Description Languages for Modelling and Verification of Circuits and Systems, MBMV 2020, Stuttgart, Germany, March 19-20, 2020},
  publisher = {VDE / IEEE},
  isbn = {978-3-8007-5220-1},
}