G. Alain and Y. Bengio, What regularized auto-encoders learn from the datagenerating distribution, The Journal of Machine Learning Research, vol.15, issue.1, pp.3563-3593, 2014.

J. Ballé, V. Laparra, and E. P. Simoncelli, End-to-end optimized image compression, 2016.

Y. Bengio and M. Monperrus, Non-local manifold tangent learning, Advances in Neural Information Processing Systems, 2005.
URL : https://hal.archives-ouvertes.fr/hal-01575349

H. Bourlard and Y. Kamp, Auto-association by multilayer perceptrons and singular value decomposition, Biological Cybernetics, vol.13, issue.4-5, pp.291-294, 1988.
DOI : 10.1109/MASSP.1987.1165576

A. Dosovitskiy and T. Brox, Generating images with perceptual similarity metrics based on deep networks, Advances in Neural Information Processing Systems, pp.658-666, 2016.

X. Glorot, A. Bordes, and Y. Bengio, Deep sparse rectifier neural networks, Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00752497

I. Goodfellow, Y. Bengio, and A. Courville, Deep learning, 2016.

D. Ha and D. Eck, A neural representation of sketch drawings. arXiv preprint, 2017.

R. Hadsell, S. Chopra, and Y. Lecun, Dimensionality Reduction by Learning an Invariant Mapping, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.100

D. P. Kingma and M. Welling, Auto-encoding variational bayes, International Conference on Learning Representations, 2014.

Y. Lecun, Learning processes in an asymmetric threshold network, 1987.

Y. Liao, Y. Wang, and Y. Liu, Graph Regularized Auto-Encoders for Image Representation, IEEE Transactions on Image Processing, vol.26, issue.6, pp.2839-2852, 2017.
DOI : 10.1109/TIP.2016.2605010

A. Makhzani and B. Frey, K-sparse autoencoders. arXiv preprint, 2013.

A. Radford, L. Metz, and S. Chintala, Unsupervised representation learning with deep convolutional generative adversarial networks, 2015.

M. Ranzato, Y. Boureau, and Y. Lecun, Sparse feature learning for deep belief networks, Conference on Neural Information Processing Systems, 2007.

S. Reed, Z. Akata, X. Yan, L. Logeswaran, B. Schiele et al., Generative adversarial text to image synthesis. arXiv preprint, 2016.

S. Rifai, P. Vincent, X. Muller, X. Glorot, and Y. Bengio, Contractive autoencoders: Explicit invariance during feature extraction, Proceedings of the 28th international conference on machine learning, 2011.

T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford et al., Improved techniques for training gans, Advances in Neural Information Processing Systems, pp.2234-2242, 2016.

J. Y. Zhu, P. Krähenbühl, E. Shechtman, and A. A. Efros, Generative Visual Manipulation on the Natural Image Manifold, European Conference on Computer Vision, 2016.
DOI : 10.1109/CVPR.2013.299

URL : http://arxiv.org/pdf/1609.03552