@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}, }