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  title = {{Enabling consistency in view-based system development -- The Vitruvius approach}},
  journal = {Journal of Systems and Software},
  year = {2021},
  volume = {171},
  issn = {0164-1212},
  doi = {10.1016/j.jss.2020.110815},
  url = {http://www.sciencedirect.com/science/article/pii/S0164121220302144},
  author = {Heiko Klare and Max E. Kramer and Michael Langhammer and Dominik Werle and Erik Burger and Ralf Reussner},
  keywords = {Consistency, Model-driven software development, Model transformations, Model views},
}

@InProceedings{Rode23ECOC,
	author = {A. Rode and W. A. Gebrehiwot and S. Chimmalgi and L. Schmalen},
	title = {Optimized geometric constellation shaping for {Wiener} phase noise channels with {Viterbi-Viterbi} carrier phase estimation},
	booktitle = {Proc. Eur. Conf. Opt. Commun. (ECOC)},
	address = {Glasgow, UK},
	OPTnote = {https://arxiv.org/abs/2307.01367},
	month = Oct,
	year = {2023},
}

@article{Karanov18JLT,
  title={End-to-end deep learning of optical fiber communications},
  author={Karanov, Boris and Chagnon, Mathieu and Thouin, F{\'e}lix and Eriksson, Tobias A and B{\"u}low, Henning and Lavery, Domani{\c{c}} and Bayvel, Polina and Schmalen, Laurent},
  journal=IEEE_J_JLT,
  volume={36},
  number={20},
  pages={4843--4855},
  year={2018},
  publisher={IEEE}
}
@article{Rode23JLT,
	author = {A. Rode and B. Geiger and S. Chimmalgi and L. Schmalen},
	title = {End-to-end optimization of constellation shaping for {Wiener} phase noise channels with a differentiable blind phase search},
	journal = IEEE_J_JLT,
	volume = {41},
	number = {12},
	pages = {3849-3859},
	OPTnote = {https://arxiv.org/abs/2212.03839},
	month = Jun,
	year = {2023},
	OPTurl = {https://ieeexplore.ieee.org/document/10093964},
	OPTcode_url = {https://github.com/kit-cel/e2e_opt_diff_bps}
}
@inproceedings{gaiarin2020end,
  title={End-to-end optimized nonlinear Fourier transform-based coherent communications},
  author={Gaiarin, Simone and Jones, {Rasmus T} and {Da Ros}, Francesco and Zibar, Darko},
  booktitle={2020 Conference on Lasers and Electro-Optics (CLEO)},
  pages={1--2},
  year={2020},
  organization={IEEE}
}
@inproceedings{li2018achievable,
  title={Achievable information rates for nonlinear fiber communication via end-to-end autoencoder learning},
  author={Li, Shen and H{\"a}ger, Christian and Garcia, Nil and Wymeersch, Henk},
  booktitle={2018 European Conference on Optical Communication (ECOC)},
  pages={1--3},
  year={2018},
  organization={IEEE}
}