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2<meta charset="utf8">
3<script src="../dist/template.js"></script>
4<script type="text/front-matter">
5 title: Article Title
6 published: Jan 10, 2017
7 authors:
8 - Chris Olah:
9 - Shan Carter: http://shancarter.com
10 affiliations:
11 - Google Brain:
12 - Google Brain: http://g.co/brain
13</script>
14
15<dt-article>
16 <script type="text/article"></script>
17 <h1>Hello World</h1>
18 <h2>A description of the article</h2>
19 <dt-byline></dt-byline>
20 <p>This is the first paragraph of the article.</p>
21 <p>Test a long&thinsp;&mdash;&thinsp;dash -- here it is.</p>
22 <p>Test for owner's possessive.</p>
23 <p>Test for "quoting a passage." And another sentence. Or two.</p>
24 <p>We can also cite <dt-cite key="gregor2015draw,mercier2011humans"></dt-cite> external publications. <dt-cite key="dong2014image,dumoulin2016guide,mordvintsev2015inceptionism"></dt-cite></p>
25</dt-article>
26
27<script type="text/bibliography">
28 @article{gregor2015draw,
29 title={DRAW: A recurrent neural network for image generation},
30 author={Gregor, Karol and Danihelka, Ivo and Graves, Alex and Rezende, Danilo Jimenez and Wierstra, Daan},
31 journal={arXiv preprint arXiv:1502.04623},
32 year={2015},
33 url ={https://arxiv.org/pdf/1502.04623.pdf}
34 }
35 @article{mercier2011humans,
36 title={Why do humans reason? Arguments for an argumentative theory},
37 author={Mercier, Hugo and Sperber, Dan},
38 journal={Behavioral and brain sciences},
39 volume={34},
40 number={02},
41 pages={57--74},
42 year={2011},
43 publisher={Cambridge Univ Press},
44 doi={10.1017/S0140525X10000968}
45 }
46
47 @article{dong2014image,
48 title={Image super-resolution using deep convolutional networks},
49 author={Dong, Chao and Loy, Chen Change and He, Kaiming and Tang, Xiaoou},
50 journal={arXiv preprint arXiv:1501.00092},
51 year={2014},
52 url={https://arxiv.org/pdf/1501.00092.pdf}
53 }
54
55 @article{dumoulin2016adversarially,
56 title={Adversarially Learned Inference},
57 author={Dumoulin, Vincent and Belghazi, Ishmael and Poole, Ben and Lamb, Alex and Arjovsky, Martin and Mastropietro, Olivier and Courville, Aaron},
58 journal={arXiv preprint arXiv:1606.00704},
59 year={2016},
60 url={https://arxiv.org/pdf/1606.00704.pdf}
61 }
62
63 @article{dumoulin2016guide,
64 title={A guide to convolution arithmetic for deep learning},
65 author={Dumoulin, Vincent and Visin, Francesco},
66 journal={arXiv preprint arXiv:1603.07285},
67 year={2016},
68 url={https://arxiv.org/pdf/1603.07285.pdf}
69 }
70
71 @article{donahue2016adversarial,
72 title={Adversarial Feature Learning},
73 author={Donahue, Jeff and Kr{\"a}henb{\"u}hl, Philipp and Darrell, Trevor},
74 journal={arXiv preprint arXiv:1605.09782},
75 year={2016},
76 url={https://arxiv.org/pdf/1605.09782.pdf}
77 }
78
79 @article{gauthier2014conditional,
80 title={Conditional generative adversarial nets for convolutional face generation},
81 author={Gauthier, Jon},
82 journal={Class Project for Stanford CS231N: Convolutional Neural Networks for Visual Recognition, Winter semester},
83 volume={2014},
84 year={2014},
85 url={http://www.foldl.me/uploads/papers/tr-cgans.pdf}
86 }
87
88 @article{henaff2015geodesics,
89 title={Geodesics of learned representations},
90 author={H{\'e}naff, Olivier J and Simoncelli, Eero P},
91 journal={arXiv preprint arXiv:1511.06394},
92 year={2015},
93 url={https://arxiv.org/pdf/1511.06394.pdf}
94 }
95
96 @article{johnson2016perceptual,
97 title={Perceptual losses for real-time style transfer and super-resolution},
98 author={Johnson, Justin and Alahi, Alexandre and Fei-Fei, Li},
99 journal={arXiv preprint arXiv:1603.08155},
100 year={2016},
101 url={https://arxiv.org/pdf/1603.08155.pdf}
102 }
103
104 @article{mordvintsev2015inceptionism,
105 title={Inceptionism: Going deeper into neural networks},
106 author={Mordvintsev, Alexander and Olah, Christopher and Tyka, Mike},
107 journal={Google Research Blog},
108 year={2015},
109 url={https://research.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html}
110 }
111
112 @misc{mordvintsev2016deepdreaming,
113 title={DeepDreaming with TensorFlow},
114 author={Mordvintsev, Alexander},
115 year={2016},
116 url={https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/tutorials/deepdream/deepdream.ipynb},
117 }
118
119 @article{radford2015unsupervised,
120 title={Unsupervised representation learning with deep convolutional generative adversarial networks},
121 author={Radford, Alec and Metz, Luke and Chintala, Soumith},
122 journal={arXiv preprint arXiv:1511.06434},
123 year={2015},
124 url={https://arxiv.org/pdf/1511.06434.pdf}
125 }
126
127 @inproceedings{salimans2016improved,
128 title={Improved techniques for training gans},
129 author={Salimans, Tim and Goodfellow, Ian and Zaremba, Wojciech and Cheung, Vicki and Radford, Alec and Chen, Xi},
130 booktitle={Advances in Neural Information Processing Systems},
131 pages={2226--2234},
132 year={2016},
133 url={https://arxiv.org/pdf/1606.03498.pdf}
134 }
135
136 @article{shi2016deconvolution,
137 title={Is the deconvolution layer the same as a convolutional layer?},
138 author={Shi, Wenzhe and Caballero, Jose and Theis, Lucas and Huszar, Ferenc and Aitken, Andrew and Ledig, Christian and Wang, Zehan},
139 journal={arXiv preprint arXiv:1609.07009},
140 year={2016},
141 url={https://arxiv.org/pdf/1609.07009.pdf}
142 }
143
144 @inproceedings{shi2016real,
145 title={Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network},
146 author={Shi, Wenzhe and Caballero, Jose and Husz{\'a}r, Ferenc and Totz, Johannes and Aitken, Andrew P and Bishop, Rob and Rueckert, Daniel and Wang, Zehan},
147 booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
148 pages={1874--1883},
149 year={2016},
150 url={https://arxiv.org/pdf/1609.05158.pdf},
151 doi={10.1109/cvpr.2016.207}
152 }
153
154</script>
155<dt-appendix>
156 <h3>Contributions</h3>
157 <p>List of who did what</p>
158</dt-appendix>