Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier. VCNet: A Self-explaining Model for Realistic Counterfactual Generation. In Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I. Volume 13713 of Lecture Notes in Computer Science, pages 437-453, Springer, 2022. [doi]
@inproceedings{GuyomardFGBT22,
title = {VCNet: A Self-explaining Model for Realistic Counterfactual Generation},
author = {Victor Guyomard and Françoise Fessant and Thomas Guyet and Tassadit Bouadi and Alexandre Termier},
year = {2022},
doi = {10.1007/978-3-031-26387-3_27},
url = {https://doi.org/10.1007/978-3-031-26387-3_27},
researchr = {https://researchr.org/publication/GuyomardFGBT22},
cites = {0},
citedby = {0},
pages = {437-453},
booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I},
editor = {Massih-Reza Amini and Stéphane Canu and Asja Fischer and Tias Guns and Petra Kralj Novak and Grigorios Tsoumakas},
volume = {13713},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-26387-3},
}