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