old VAE draft

posts/2018-08-simple-VAE/bibliography.bib

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+@article{olah2017feature,
+  author = {Olah, Chris and Mordvintsev, Alexander and Schubert, Ludwig},
+  title = {Feature Visualization},
+  journal = {Distill},
+  year = {2017},
+  url = {https://distill.pub/2017/feature-visualization},
+  doi = {10.23915/distill.00007}
+}
+
+@article{gatys2015,
+  author    = {Leon A. Gatys and
+               Alexander S. Ecker and
+               Matthias Bethge},
+  title     = {A Neural Algorithm of Artistic Style},
+  journal   = {CoRR},
+  volume    = {abs/1508.06576},
+  year      = {2015},
+  url       = {http://arxiv.org/abs/1508.06576},
+  archivePrefix = {arXiv},
+  eprint    = {1508.06576},
+  timestamp = {Wed, 07 Jun 2017 14:41:58 +0200},
+  biburl    = {http://dblp.org/rec/bib/journals/corr/GatysEB15a},
+  bibsource = {dblp computer science bibliography, http://dblp.org}
+}
+
+@article{li2017,
+  author    = {Yanghao Li and
+               Naiyan Wang and
+               Jiaying Liu and
+               Xiaodi Hou},
+  title     = {Demystifying Neural Style Transfer},
+  journal   = {CoRR},
+  volume    = {abs/1701.01036},
+  year      = {2017},
+  url       = {http://arxiv.org/abs/1701.01036},
+  archivePrefix = {arXiv},
+  eprint    = {1701.01036},
+  timestamp = {Wed, 07 Jun 2017 14:42:49 +0200},
+  biburl    = {http://dblp.org/rec/bib/journals/corr/LiWLH17},
+  bibsource = {dblp computer science bibliography, http://dblp.org}
+}
+
+@article{wilmot2017,
+  author    = {Pierre Wilmot and
+               Eric Risser and
+               Connelly Barnes},
+  title     = {Stable and Controllable Neural Texture Synthesis and Style Transfer
+               Using Histogram Losses},
+  journal   = {CoRR},
+  volume    = {abs/1701.08893},
+  year      = {2017},
+  url       = {http://arxiv.org/abs/1701.08893},
+  archivePrefix = {arXiv},
+  eprint    = {1701.08893},
+  timestamp = {Wed, 07 Jun 2017 14:42:55 +0200},
+  biburl    = {http://dblp.org/rec/bib/journals/corr/WilmotRB17},
+  bibsource = {dblp computer science bibliography, http://dblp.org}
+}
+
+@article{li2016,
+  author    = {Chuan Li and
+               Michael Wand},
+  title     = {Combining Markov Random Fields and Convolutional Neural Networks for
+               Image Synthesis},
+  journal   = {CoRR},
+  volume    = {abs/1601.04589},
+  year      = {2016},
+  url       = {http://arxiv.org/abs/1601.04589},
+  archivePrefix = {arXiv},
+  eprint    = {1601.04589},
+  timestamp = {Wed, 07 Jun 2017 14:40:20 +0200},
+  biburl    = {http://dblp.org/rec/bib/journals/corr/LiW16},
+  bibsource = {dblp computer science bibliography, http://dblp.org}
+}
+
+@article{athalye2017,
+  author    = {Anish Athalye and
+               Logan Engstrom and
+               Andrew Ilyas and
+               Kevin Kwok},
+  title     = {Synthesizing Robust Adversarial Examples},
+  journal   = {CoRR},
+  volume    = {abs/1707.07397},
+  year      = {2017},
+  url       = {http://arxiv.org/abs/1707.07397},
+  archivePrefix = {arXiv},
+  eprint    = {1707.07397},
+  timestamp = {Tue, 31 Oct 2017 11:47:03 +0100},
+  biburl    = {http://dblp.org/rec/bib/journals/corr/AthalyeS17},
+  bibsource = {dblp computer science bibliography, http://dblp.org}
+}
+
+@article{ruder2016,
+  author    = {Manuel Ruder and
+               Alexey Dosovitskiy and
+               Thomas Brox},
+  title     = {Artistic style transfer for videos},
+  journal   = {CoRR},
+  volume    = {abs/1604.08610},
+  year      = {2016},
+  url       = {http://arxiv.org/abs/1604.08610},
+  archivePrefix = {arXiv},
+  eprint    = {1604.08610},
+  timestamp = {Wed, 07 Jun 2017 14:43:14 +0200},
+  biburl    = {http://dblp.org/rec/bib/journals/corr/RuderDB16},
+  bibsource = {dblp computer science bibliography, http://dblp.org}
+}
+
+@inproceedings{krizhevsky2012,
+  author = {Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E.},
+  title = {ImageNet Classification with Deep Convolutional Neural Networks},
+  booktitle = {Proceedings of the 25th International Conference on Neural Information Processing Systems - Volume 1},
+  series = {NIPS'12},
+  year = {2012},
+  pages = {1097--1105},
+  url = {http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf},
+}
+
+@InProceedings{zeiler2014,
+  author="Zeiler, Matthew D.
+  and Fergus, Rob",
+  editor="Fleet, David
+  and Pajdla, Tomas
+  and Schiele, Bernt
+  and Tuytelaars, Tinne",
+  title="Visualizing and Understanding Convolutional Networks",
+  booktitle="Computer Vision -- ECCV 2014",
+  year="2014",
+  publisher="Springer International Publishing",
+  address="Cham",
+  pages="818--833",
+  isbn="978-3-319-10590-1",
+  url="https://arxiv.org/abs/1311.2901"
+}
+
+@article{mordvintsev2015inceptionism,
+  title={Inceptionism: Going deeper into neural networks},
+  author={Mordvintsev, Alexander and Olah, Christopher and Tyka, Mike},
+  journal={Google Research Blog. Retrieved June},
+  volume={20},
+  number={14},
+  pages={5},
+  year={2015},
+  url={https://research.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html}
+}
+
+@incollection{goodfellow2014:adversarial,
+  title = {Generative Adversarial Nets},
+  author = {Goodfellow, Ian and Pouget-Abadie, Jean and Mirza, Mehdi and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua},
+  booktitle = {Advances in Neural Information Processing Systems 27},
+  editor = {Z. Ghahramani and M. Welling and C. Cortes and N. D. Lawrence and K. Q. Weinberger},
+  pages = {2672--2680},
+  year = {2014},
+  publisher = {Curran Associates, Inc.},
+  url = {http://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf}
+}
+
+@article{Diederik2013:VAE,
+  author    = {Diederik P. Kingma and
+               Max Welling},
+  title     = {Auto-Encoding Variational Bayes},
+  journal   = {CoRR},
+  volume    = {abs/1312.6114},
+  year      = {2013},
+  url       = {http://arxiv.org/abs/1312.6114},
+  archivePrefix = {arXiv},
+  eprint    = {1312.6114},
+  timestamp = {Wed, 07 Jun 2017 14:40:08 +0200},
+  biburl    = {http://dblp.org/rec/bib/journals/corr/KingmaW13},
+  bibsource = {dblp computer science bibliography, http://dblp.org}
+}
+
+@article{stanley2007cppn,
+  title={Compositional pattern producing networks: A novel abstraction of development},
+  author={Stanley, Kenneth O},
+  journal={Genetic programming and evolvable machines},
+  volume={8},
+  number={2},
+  pages={131--162},
+  year={2007},
+  publisher={Springer},
+  url={http://eplex.cs.ucf.edu/papers/stanley_gpem07.pdf}
+}
+
+@misc{CPPN:random,
+  author = {Otoro.net},
+  title = {Neural Network Generative Art in Javascript},
+  url = {http://blog.otoro.net/2015/06/19/neural-network-generative-art/},
+  year = {2015},
+  note = "[Online; accessed 26-February-2018]"
+}
+
+@inproceedings{Nguyen2015:easilyFooled,
+  author    = {Anh Mai Nguyen and
+               Jason Yosinski and
+               Jeff Clune},
+  title     = {Deep neural networks are easily fooled: High confidence predictions
+               for unrecognizable images},
+  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR
+               2015, Boston, MA, USA, June 7-12, 2015},
+  pages     = {427--436},
+  year      = {2015},
+  url       = {https://arxiv.org/abs/1412.1897}
+}
+
+@article{kato2017neural3D,
+  title={Neural 3D Mesh Renderer},
+  author={Kato, Hiroharu and Ushiku, Yoshitaka and Harada, Tatsuya},
+  journal={arXiv preprint arXiv:1711.07566},
+  year={2017},
+  url={https://arxiv.org/abs/1711.07566}
+}
+
+@inproceedings{wu20153d,
+  title={3d shapenets: A deep representation for volumetric shapes},
+  author={Wu, Zhirong and Song, Shuran and Khosla, Aditya and Yu, Fisher and Zhang, Linguang and Tang, Xiaoou and Xiao, Jianxiong},
+  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
+  pages={1912--1920},
+  year={2015},
+  url={https://people.csail.mit.edu/khosla/papers/cvpr2015_wu.pdf}
+}
+
+@inproceedings{qi2016volumetric,
+  title={Volumetric and Multi-View CNNs for Object Classification on 3D Data},
+  author={Qi, Charles R and Su, Hao and Nie{\ss}ner, Matthias and Dai, Angela and Yan, Mengyuan and Guibas, Leonidas J},
+  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
+  pages={5648--5656},
+  year={2016},
+  url={https://arxiv.org/abs/1604.03265}
+}
+
+@misc{turk2005stanfordBunny,
+  title={The Stanford Bunny},
+  author={Turk, Greg and Levoy, Marc},
+  year={2005},
+  publisher={Stanford University Computer Graphics Laboratory},
+  url= {http://graphics. stanford. edu/data/3Dscanrep}
+}
+
+@book{Shreiner2013OpenGL,
+ author = {Shreiner, Dave and Sellers, Graham and Kessenich, John M. and Licea-Kane, Bill M.},
+ title = {OpenGL Programming Guide: The Official Guide to Learning OpenGL, Version 4.3},
+ year = {2013},
+ isbn = {0321773039, 9780321773036},
+ edition = {8th},
+ publisher = {Addison-Wesley Professional},
+}
+
+@article{wierstra2014naturalEvolutionStrategies,
+  title={Natural evolution strategies.},
+  author={Wierstra, Daan and Schaul, Tom and Glasmachers, Tobias and Sun, Yi and Peters, Jan and Schmidhuber, J{\"u}rgen},
+  journal={Journal of Machine Learning Research},
+  volume={15},
+  number={1},
+  pages={949--980},
+  year={2014},
+  url={http://www.jmlr.org/papers/volume15/wierstra14a/wierstra14a.pdf}
+}
+
+@inproceedings{szegedy2015googlenet,
+title = {Going Deeper with Convolutions},
+author  = {Christian Szegedy and Wei Liu and Yangqing Jia and Pierre Sermanet and Scott Reed and Dragomir Anguelov and Dumitru Erhan and Vincent Vanhoucke and Andrew Rabinovich},
+year  = {2015},
+URL = {http://arxiv.org/abs/1409.4842},
+booktitle = {Computer Vision and Pattern Recognition (CVPR)}
+}
+
+@article{lecun2015deepLearning,
+  title={Deep learning},
+  author={LeCun, Yann and Bengio, Yoshua and Hinton, Geoffrey},
+  journal={Nature},
+  volume={521},
+  number={7553},
+  pages={436},
+  year={2015},
+  publisher={Nature Publishing Group},
+  url = {http://pages.cs.wisc.edu/~dyer/cs540/handouts/deep-learning-nature2015.pdf}
+}
+
+@article{Goodfellow2016deepLearning,
+    title={Deep Learning},
+    author={Ian Goodfellow and Yoshua Bengio and Aaron Courville},
+    publisher={MIT Press},
+    url={http://www.deeplearningbook.org},
+    year={2016}
+}
+
+@article{simonyan2014vgg,
+  title={Very deep convolutional networks for large-scale image recognition},
+  author={Simonyan, Karen and Zisserman, Andrew},
+  journal={arXiv preprint arXiv:1409.1556},
+  year={2014},
+  url={https://arxiv.org/abs/1409.1556}
+}
+
+@inproceedings{li2017universal,
+  title={Universal style transfer via feature transforms},
+  author={Li, Yijun and Fang, Chen and Yang, Jimei and Wang, Zhaowen and Lu, Xin and Yang, Ming-Hsuan},
+  booktitle={Advances in Neural Information Processing Systems},
+  pages={385--395},
+  year={2017},
+  url={https://arxiv.org/abs/1705.08086}
+}
+
+@inproceedings{levy2002least,
+  title={Least squares conformal maps for automatic texture atlas generation},
+  author={L{\'e}vy, Bruno and Petitjean, Sylvain and Ray, Nicolas and Maillot, J{\'e}rome},
+  booktitle={ACM transactions on graphics (TOG)},
+  pages={362--371},
+  year={2002},
+  url={http://alice.loria.fr/index.php/software/7-data/37-unwrapped-meshes.html}
+}
+
+@article{athalye2017synthesizing,
+  title={Synthesizing robust adversarial examples},
+  author={Athalye, Anish and Engstrom, Logan and Ilyas, Andrew and Kwok, Kevin},
+  journal={arXiv preprint arXiv:1707.07397},
+  year={2017},
+  url={https://arxiv.org/pdf/1707.07397.pdf}
+}
+
+@article{gershenfeld2012make,
+  title={How to make almost anything: The digital fabrication revolution},
+  author={Gershenfeld, Neil},
+  journal={Foreign affairs},
+  pages={43--57},
+  year={2012},
+  url={https://www.vteducation.org/sites/default/files/file_attach/Christophe%20Reverd/2014/05/12.09.fa_.pdf}
+}
+
+@article{odena2016deconvolution,
+  title={Deconvolution and checkerboard artifacts},
+  author={Odena, Augustus and Dumoulin, Vincent and Olah, Chris},
+  journal={Distill},
+  volume={1},
+  number={10},
+  pages={e3},
+  year={2016},
+  doi={distill.00003},
+  url={http://distill.pub/2016/deconv-checkerboard/}
+}
+
+@article{kodama1981automatic,
+  title={Automatic method for fabricating a three-dimensional plastic model with photo-hardening polymer},
+  author={Kodama, Hideo},
+  journal={Review of scientific instruments},
+  volume={52},
+  number={11},
+  pages={1770--1773},
+  year={1981},
+  publisher={AIP},
+  doi={10.1063/1.1136492}
+}
+
+@article{jones2011reprap,
+  title={RepRap--the replicating rapid prototyper},
+  author={Jones, Rhys and Haufe, Patrick and Sells, Edward and Iravani, Pejman and Olliver, Vik and Palmer, Chris and Bowyer, Adrian},
+  journal={Robotica},
+  volume={29},
+  number={1},
+  pages={177--191},
+  year={2011},
+  publisher={Cambridge University Press},
+  doi={10.1017/S026357471000069X}
+}
+
+@article{salimans2017evolution,
+  title={Evolution strategies as a scalable alternative to reinforcement learning},
+  author={Salimans, Tim and Ho, Jonathan and Chen, Xi and Sutskever, Ilya},
+  journal={arXiv preprint arXiv:1703.03864},
+  year={2017}
+}
+
+@inproceedings{choromanska2015loss,
+  title={The loss surfaces of multilayer networks},
+  author={Choromanska, Anna and Henaff, Mikael and Mathieu, Michael and Arous, G{\'e}rard Ben and LeCun, Yann},
+  booktitle={Artificial Intelligence and Statistics},
+  pages={192--204},
+  year={2015},
+  url={https://arxiv.org/abs/1412.0233}
+}