template/examples/bibliography.bib

@article{gregor2015draw,
  title={DRAW: A recurrent neural network for image generation},
  author={Gregor, Karol and Danihelka, Ivo and Graves, Alex and Rezende, Danilo Jimenez and Wierstra, Daan},
  journal={arXiv preprint arXiv:1502.04623},
  year={2015},
  url ={https://arxiv.org/pdf/1502.04623.pdf}
}
@article{mercier2011humans,
  title={Why do humans reason? Arguments for an argumentative theory},
  author={Mercier, Hugo and Sperber, Dan},
  journal={Behavioral and brain sciences},
  volume={34},
  number={02},
  pages={57--74},
  year={2011},
  publisher={Cambridge Univ Press},
  doi={10.1017/S0140525X10000968}
}

@article{dong2014image,
  title={Image super-resolution using deep convolutional networks},
  author={Dong, Chao and Loy, Chen Change and He, Kaiming and Tang, Xiaoou},
  journal={arXiv preprint arXiv:1501.00092},
  year={2014},
  url={https://arxiv.org/pdf/1501.00092.pdf}
}

@article{dumoulin2016adversarially,
  title={Adversarially Learned Inference},
  author={Dumoulin, Vincent and Belghazi, Ishmael and Poole, Ben and Lamb, Alex and Arjovsky, Martin and Mastropietro, Olivier and Courville, Aaron},
  journal={arXiv preprint arXiv:1606.00704},
  year={2016},
  url={https://arxiv.org/pdf/1606.00704.pdf}
}

@article{dumoulin2016guide,
  title={A guide to convolution arithmetic for deep learning},
  author={Dumoulin, Vincent and Visin, Francesco},
  journal={arXiv preprint arXiv:1603.07285},
  year={2016},
  url={https://arxiv.org/pdf/1603.07285.pdf}
}

@article{gauthier2014conditional,
  title={Conditional generative adversarial nets for convolutional face generation},
  author={Gauthier, Jon},
  journal={Class Project for Stanford CS231N: Convolutional Neural Networks for Visual Recognition, Winter semester},
  volume={2014},
  year={2014},
  url={http://www.foldl.me/uploads/papers/tr-cgans.pdf}
}

@article{johnson2016perceptual,
  title={Perceptual losses for real-time style transfer and super-resolution},
  author={Johnson, Justin and Alahi, Alexandre and Fei-Fei, Li},
  journal={arXiv preprint arXiv:1603.08155},
  year={2016},
  url={https://arxiv.org/pdf/1603.08155.pdf}
}

@article{mordvintsev2015inceptionism,
  title={Inceptionism: Going deeper into neural networks},
  author={Mordvintsev, Alexander and Olah, Christopher and Tyka, Mike},
  journal={Google Research Blog},
  year={2015},
  url={https://research.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html}
}

@misc{mordvintsev2016deepdreaming,
  title={DeepDreaming with TensorFlow},
  author={Mordvintsev, Alexander},
  year={2016},
  url={https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/tutorials/deepdream/deepdream.ipynb},
}

@article{radford2015unsupervised,
  title={Unsupervised representation learning with deep convolutional generative adversarial networks},
  author={Radford, Alec and Metz, Luke and Chintala, Soumith},
  journal={arXiv preprint arXiv:1511.06434},
  year={2015},
  url={https://arxiv.org/pdf/1511.06434.pdf}
}

@inproceedings{salimans2016improved,
  title={Improved techniques for training gans},
  author={Salimans, Tim and Goodfellow, Ian and Zaremba, Wojciech and Cheung, Vicki and Radford, Alec and Chen, Xi},
  booktitle={Advances in Neural Information Processing Systems},
  pages={2226--2234},
  year={2016},
  url={https://arxiv.org/pdf/1606.03498.pdf}
}

@article{shi2016deconvolution,
  title={Is the deconvolution layer the same as a convolutional layer?},
  author={Shi, Wenzhe and Caballero, Jose and Theis, Lucas and Huszar, Ferenc and Aitken, Andrew and Ledig, Christian and Wang, Zehan},
  journal={arXiv preprint arXiv:1609.07009},
  year={2016},
  url={https://arxiv.org/pdf/1609.07009.pdf}
}

@misc{openai2018charter,
  author={OpenAI},
  title={OpenAI Charter},
  type={Blog},
  number={April 9},
  year={2018},
  url={https://blog.openai.com/charter},
}