reference.bib

@book{Goodfellow-et-al-2016,
    title={Deep Learning},
    author={Ian Goodfellow and Yoshua Bengio and Aaron Courville},
    publisher={MIT Press},
    note={\url{http://www.deeplearningbook.org}},
    year={2016}
}


@article{wgan,
	title = {Wasserstein GAN},
	author = {Martin Arjovsky, Soutmith Chintala, and Léon Bottou},
	publisher = {Courant Institute of Mathematical Sciences and Facebook AI Research},
	year = {2017}
}

@article{conservative-field,
	title={GANs are being fixed in more than a way},
	author={Ferenc Huszár},
	note={\url{http://www.inference.vc/gans-are-being-fixed-in-more-than-one-way/}}
}

@article{preuve-wgan,
	title={Wasserstein GAN and the Kantorovich-Rubinstein Duality},
	author={Vincent Hermann},
	note={\url{https://vincentherrmann.github.io/blog/wasserstein/}}
}

@article(optimiser,
	title={Comparaison des optimiser pour le GAN})

@article{numerics-gan,
	title={The Numerics of GAN},
	author={Lars Mescheder, Sebastian Nowozin and Andreas Geiger}
}

@misc{karpathy_convolutional_2015,
	title = {Convolutional {Neural} {Networks} ({CNNs} / {ConvNets})},
	url = {http://cs231n.github.io/convolutional-networks/},
	author = {Karpathy, Andrej},
	year = {2015}
}

@inproceedings{cornish_towards_2018,
	title = {Towards a {Testable} {Notion} of {Generalization} for {Generative} {Adversarial} {Networks}},
	url = {https://openreview.net/pdf?id=ByuI-mW0W},
	author = {Cornish, Robert and Yang, Hongseok and Wood, Franck},
	year = {2018},
	file = {Cornish et al. - 2018 - Towards a Testable Notion of Generalization for Ge.pdf:/Users/james/Zotero/storage/ZHHD264T/Cornish et al. - 2018 - Towards a Testable Notion of Generalization for Ge.pdf:application/pdf}
}

@article{portilla_parametric_2000,
	title = {A {Parametric} {Texture} {Model} {Based} on {Joint} {Statistics} of {Complex} {Wavelet} {Coefficients}},
	volume = {40},
	issn = {1573-1405},
	url = {https://doi.org/10.1023/A:1026553619983},
	doi = {10.1023/A:1026553619983},
	number = {1},
	journal = {International Journal of Computer Vision},
	author = {Portilla, Javier and Simoncelli, Eero P.},
	year = {2000},
	pages = {49--70},
	file = {portilla99-reprint.pdf:/Users/james/Zotero/storage/KSWSE5AC/portilla99-reprint.pdf:application/pdf}
}

@inproceedings{theis_note_2016,
	title = {A note on the evaluation of generative models},
	url = {https://arxiv.org/pdf/1511.01844},
	language = {English},
	author = {Theis, Lucas and Van Der Oord, Aäron and Bethge, Matthias},
	year = {2016},
	file = {Lucas Theis et al. - 2016 - A note on the evaluation of generative models.pdf:/Users/james/Zotero/storage/TX5D2YZ4/Lucas Theis et al. - 2016 - A note on the evaluation of generative models.pdf:application/pdf}
}

@inproceedings{le_building_2012,
	title = {Building {High}-level {Features} {Using} {Large} {Scale} {Unsupervised} {Learning}},
	url = {https://arxiv.org/pdf/1112.6209.pdf},
	author = {Le, Quoc V. and Ranzato, Marc’Aurelio and Monga, Rajat and Devin, Matthieu and Chen and Corrado, Greg S. and Dean, Jeff and Ng, Andrew Y.},
	year = {2012},
	file = {Quoc V. Le et al. - Building High-level Features Using Large Scale Uns.pdf:/Users/james/Zotero/storage/X7YXQVZ9/Quoc V. Le et al. - Building High-level Features Using Large Scale Uns.pdf:application/pdf}
}

@misc{olah_backpropagation_2015,
	title = {Backpropagation},
	url = {http://colah.github.io/posts/2015-08-Backprop/},
	author = {Olah, Christopher},
	year = {2015}
}

@article{popescu_multilayer_2009,
	title = {Multilayer perceptron and neural networks},
	volume = {8},
	url = {http://www.wseas.us/e-library/transactions/circuits/2009/29-485.pdf},
	number = {7},
	urldate = {2017-09-28},
	journal = {WSEAS Transactions on Circuits and Systems},
	author = {Popescu, Marius-Constantin and Balas, Valentina E. and Perescu-Popescu, Liliana and Mastorakis, Nikos},
	year = {2009},
	pages = {579--588},
	file = {Popescu.pdf:/Users/james/Zotero/storage/UQ7PWWN6/Popescu.pdf:application/pdf}
}

@article{reed_generative_2016,
	title = {Generative adversarial text to image synthesis},
	url = {http://www.jmlr.org/proceedings/papers/v48/reed16.pdf},
	urldate = {2017-09-28},
	journal = {arXiv preprint arXiv:1605.05396},
	author = {Reed, Scott and Akata, Zeynep and Yan, Xinchen and Logeswaran, Lajanugen and Schiele, Bernt and Lee, Honglak},
	year = {2016},
	file = {reed16.pdf:/Users/james/Zotero/storage/6MH43PRV/reed16.pdf:application/pdf}
}

@inproceedings{vondrick_generating_2016,
	title = {Generating videos with scene dynamics},
	url = {http://papers.nips.cc/paper/6194-generating-videos-with-scene-dynamics},
	urldate = {2017-09-28},
	booktitle = {Advances {In} {Neural} {Information} {Processing} {Systems}},
	author = {Vondrick, Carl and Pirsiavash, Hamed and Torralba, Antonio},
	year = {2016},
	pages = {613--621},
	file = {paper.pdf:/Users/james/Zotero/storage/DGRBADQB/paper.pdf:application/pdf}
}

@inproceedings{gregor_towards_2016,
	title = {Towards conceptual compression},
	url = {http://papers.nips.cc/paper/6542-towards-conceptual-compression},
	urldate = {2017-09-28},
	booktitle = {Advances {In} {Neural} {Information} {Processing} {Systems}},
	author = {Gregor, Karol and Besse, Frederic and Rezende, Danilo Jimenez and Danihelka, Ivo and Wierstra, Daan},
	year = {2016},
	pages = {3549--3557},
	file = {6542-towards-conceptual-compression.pdf:/Users/james/Zotero/storage/AJGFA7GJ/6542-towards-conceptual-compression.pdf:application/pdf}
}

@inproceedings{reed_learning_2016,
	title = {Learning what and where to draw},
	url = {http://papers.nips.cc/paper/6111-learning-what-and-where-to-draw},
	urldate = {2017-09-28},
	booktitle = {Advances in {Neural} {Information} {Processing} {Systems}},
	author = {Reed, Scott E. and Akata, Zeynep and Mohan, Santosh and Tenka, Samuel and Schiele, Bernt and Lee, Honglak},
	year = {2016},
	pages = {217--225},
	file = {6111-learning-what-and-where-to-draw.pdf:/Users/james/Zotero/storage/RRDM8ZCB/6111-learning-what-and-where-to-draw.pdf:application/pdf}
}

@article{arjovsky_wasserstein_2017,
	title = {Wasserstein gan},
	url = {https://arxiv.org/abs/1701.07875},
	urldate = {2017-09-28},
	journal = {arXiv preprint arXiv:1701.07875},
	author = {Arjovsky, Martin and Chintala, Soumith and Bottou, Léon},
	year = {2017},
	file = {1701.07875.pdf:/Users/james/Zotero/storage/MS7HHF47/1701.07875.pdf:application/pdf}
}

@article{ledig_photo-realistic_2016,
	title = {Photo-realistic single image super-resolution using a generative adversarial network},
	url = {https://arxiv.org/abs/1609.04802},
	urldate = {2017-09-28},
	journal = {arXiv preprint arXiv:1609.04802},
	author = {Ledig, Christian and Theis, Lucas and Huszár, Ferenc and Caballero, Jose and Cunningham, Andrew and Acosta, Alejandro and Aitken, Andrew and Tejani, Alykhan and Totz, Johannes and Wang, Zehan and {others}},
	year = {2016},
	file = {1609.04802.pdf:/Users/james/Zotero/storage/UW5SAK6N/1609.04802.pdf:application/pdf}
}

@inproceedings{salimans_improved_2016,
	title = {Improved techniques for training gans},
	url = {http://papers.nips.cc/paper/6124-improved-techniques-for-training-gans},
	urldate = {2017-09-28},
	booktitle = {Advances in {Neural} {Information} {Processing} {Systems}},
	author = {Salimans, Tim and Goodfellow, Ian and Zaremba, Wojciech and Cheung, Vicki and Radford, Alec and Chen, Xi},
	year = {2016},
	pages = {2234--2242},
	file = {1606.03498.pdf:/Users/james/Zotero/storage/FU7AXKH3/1606.03498.pdf:application/pdf}
}

@inproceedings{radford_unsupervised_2015,
	title = {Unsupervised representation learning with deep convolutional generative adversarial networks},
	url = {https://arxiv.org/abs/1511.06434},
	urldate = {2017-09-28},
	booktitle = {{arXiv} preprint {arXiv}:1511.06434},
	author = {Radford, Alec and Metz, Luke and Chintala, Soumith},
	year = {2015},
	file = {1511.06434.pdf:/Users/james/Zotero/storage/6STGW5MT/1511.06434.pdf:application/pdf}
}

@inproceedings{goodfellow_generative_2014,
	title = {Generative adversarial nets},
	shorttitle = {Goodfellow\_GAN\_2014},
	url = {http://papers.nips.cc/paper/5423-generative-adversarial-nets},
	urldate = {2017-09-28},
	booktitle = {Advances in neural information processing systems},
	author = {Goodfellow, Ian and Pouget-Abadie, Jean and Mirza, Mehdi and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua},
	year = {2014},
	pages = {2672--2680},
	file = {5423-generative-adversarial-nets.pdf:/Users/james/Zotero/storage/8ZEUW9HM/5423-generative-adversarial-nets.pdf:application/pdf}
}

@inproceedings{goodfellow_nips_2016,
	title = {{NIPS} 2016 tutorial: {Generative} adversarial networks},
	shorttitle = {{NIPS} 2016 tutorial},
	url = {https://arxiv.org/abs/1701.00160},
	urldate = {2017-09-28},
	booktitle = {{arXiv} preprint {arXiv}:1701.00160},
	author = {Goodfellow, Ian},
	year = {2016},
	file = {1701.00160.pdf:/Users/james/Zotero/storage/DHB9P3SN/1701.00160.pdf:application/pdf}
}

@misc{huszar_thanksgiving_2017,
	title = {Thanksgiving {Special}: {GANs} are {Being} {Fixed} in {More} than {One} {Way}},
	shorttitle = {Thanksgiving {Special}},
	url = {http://www.inference.vc/gans-are-being-fixed-in-more-than-one-way/},
	language = {en},
	urldate = {2018-05-22},
	journal = {inFERENCe},
	author = {Huszár, Ferenc},
	year = {2017},
	file = {Snapshot:/Users/james/Zotero/storage/773ULL6X/gans-are-being-fixed-in-more-than-one-way.html:text/html}
}

@misc{herrmann_wasserstein_2017,
	title = {Wasserstein {GAN} and the {Kantorovich}-{Rubinstein} {Duality}},
	url = {https://vincentherrmann.github.io/blog/wasserstein/},
	language = {en},
	urldate = {2018-05-22},
	author = {Herrmann, Vincent},
	year = {2017},
	file = {Snapshot:/Users/james/Zotero/storage/WV4FTN7M/2017 - Wasserstein GAN and the Kantorovich-Rubinstein Dua.html:text/html}
}

@inproceedings{metz_unrolled_2017,
	title = {Unrolled {Generative} {Adverarial} {Networks}},
	url = {https://arxiv.org/pdf/1611.02163.pdf},
	language = {English},
	author = {Metz, Luke and Poole, Ben and Pfau, David and Sohl-Dickstein, Jascha},
	year = {2017},
	file = {Luke Metz et al. - 2017 - Unrolled Generative Adverarial Networks.pdf:/Users/james/Zotero/storage/RR3859C8/Luke Metz et al. - 2017 - Unrolled Generative Adverarial Networks.pdf:application/pdf}
}

@inproceedings{lecun_efficient_1998,
	address = {London, UK, UK},
	title = {Efficient {BackProp}},
	isbn = {3-540-65311-2},
	url = {http://dl.acm.org/citation.cfm?id=645754.668382},
	booktitle = {Neural {Networks}: {Tricks} of the {Trade}, {This} {Book} is an {Outgrowth} of a 1996 {NIPS} {Workshop}},
	publisher = {Springer-Verlag},
	author = {LeCun, Yann and Bottou, Léon and Orr, Genevieve B. and Müller, Klaus-Robert},
	year = {1998},
	pages = {9--50},
	file = {lecun-98b[1].pdf:/Users/james/Zotero/storage/R4438Z57/lecun-98b[1].pdf:application/pdf}
}

@inproceedings{lecun_gradient-based_1998,
	title = {Gradient-{Based} {Learning} {Applied} to {Document} {Recognition}},
	volume = {86},
	url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.7665},
	booktitle = {Proceedings of the {IEEE}},
	author = {LeCun, Yann and Bottou, Léon and Bengio, Yoshua and Haffner, Patrick},
	year = {1998},
	keywords = {MSc character\_recognition checked mnist network neural},
	pages = {2278--2324},
	file = {lecun-01a[1].pdf:/Users/james/Zotero/storage/3KEHD8P8/lecun-01a[1].pdf:application/pdf}
}

@book{parizeau_reseaux_2004,
	title = {Réseaux de {Neurones}},
	url = {http://wcours.gel.ulaval.ca/2014/h/GIF4101/default/7references/reseauxdeneurones.pdf},
	author = {Parizeau, Marc},
	year = {2004},
	file = {RNF - Reseaux de neurones.pdf:/Users/james/Zotero/storage/9BYRFA9N/RNF - Reseaux de neurones.pdf:application/pdf}
}

@incollection{rumelhart_learning_1986,
	address = {Cambridge, MA, USA},
	title = {Learning {Internal} {Representation} by {Error} {Propagation}},
	isbn = {0-262-68053-X},
	url = {http://dl.acm.org/citation.cfm?id=104279.104293},
	booktitle = {Parallel {Distributed} {Processing}: {Explorations} in the {Microstructure} of {Cognition}, {Vol}. 1},
	publisher = {MIT Press},
	author = {Rumelhart, D. E. and Hinton, G. E. and Williams, R. J.},
	editor = {Rumelhart, David E. and McClelland, James L. and PDP Research Group, CORPORATE},
	year = {1986},
	pages = {318--362},
	file = {Chap8_PDP86[1].pdf:/Users/james/Zotero/storage/B323R2AA/Chap8_PDP86[1].pdf:application/pdf}
}

@article{nguyen_wasserstein_2011,
	title = {Wasserstein distances for discrete measures and convergence in nonparametric mixture models},
	url = {https://pdfs.semanticscholar.org/cf7c/e11c67206268acdeef4d3c58d3e4586b291c.pdf},
	urldate = {2018-03-13},
	author = {Nguyen, XuanLong},
	year = {2011},
	file = {e11c67206268acdeef4d3c58d3e4586b291c.pdf:/Users/james/Zotero/storage/SUYPBTA4/e11c67206268acdeef4d3c58d3e4586b291c.pdf:application/pdf}
}

@article{albanie_stopping_2017,
	title = {Stopping {GAN} {Violence}: {Generative} {Unadversarial} {Networks}},
	shorttitle = {albanie\_GUN\_2017},
	url = {https://arxiv.org/pdf/1703.02528.pdf},
	journal = {ArXiv e-prints},
	author = {Albanie, S. and Ehrhardt, S. and Henriques, J. F.},
	year = {2017},
	keywords = {Computer Science - Learning, Statistics - Machine Learning},
	file = {Albanie et al. - 2017 - Stopping GAN Violence Generative Unadversarial Ne.pdf:/Users/james/Zotero/storage/8MI3RX58/Albanie et al. - 2017 - Stopping GAN Violence Generative Unadversarial Ne.pdf:application/pdf}
}

@techreport{appartement,
	title = {Apprentissage {Automatique} de séquences},
	shorttitle = {appartement},
	url = {https://github.com/supelec-lstm/appartement-report/raw/master/compte-rendu.pdf},
	author = {Auriau, Vincent and Beaughon, Laurent and Belicard, Marc and Hechaichi, Yaqine and Rahoul, Thaïs and Vigier, Pierre and Tomasik, Joanna and Rimmel, Arpad},
	year = {2017},
	pages = {106},
	file = {Apprentissage Automatique de séquences.pdf:/Users/james/Zotero/storage/8NL4HDEY/Apprentissage Automatique de séquences.pdf:application/pdf}
}

@techreport{pinaple,
	title = {{PinaPL} {Réseaux} de neurones \& {LSTM}},
	url = {https://github.com/supelec-lstm/PinaPL-report},
	author = {Amossé, Maxime and Hemery, Julien and Hervieux, Hugo and Pascou, Sylvain and Rimmel, Arpad and Tomasik, Joanna},
	year = {2017},
	pages = {33},
	file = {PinaPL Réseaux de neurones & LSTM.pdf:/Users/james/Zotero/storage/46BKZAYM/PinaPL Réseaux de neurones & LSTM.pdf:application/pdf}
}

@article{optimal-transport,
	author={Cédric Villani},
	title={Optimal Transport: Old and New},
	year={2009}	
}

@misc{overview_descent_algorithms,
	title = {An overview of gradient descent optimization algorithms} ,
	url = {http://www.ruder.io/optimizing-gradient-descent/index.html},
	author = {Sebastian Ruder},
	urldate = {2018-01-19},
	year = {2016}
}

@misc{beginners_guide_to_gan,
	title = {GAN: A Beginner’s Guide to Generative Adversarial Networks} ,
	url = {https://deeplearning4j.org/generative-adversarial-network},
	author = {Skymind},
	urldate = {2018-01-19},
	year = {2016}
}