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* [[Mathematician#GMontavon|Grégoire Montavon]] ('''2013'''). ''[https://opus4.kobv.de/opus4-tuberlin/frontdoor/index/index/docId/4467 On Layer-Wise Representations in Deep Neural Networks]''. Ph.D. Thesis, [https://en.wikipedia.org/wiki/Technical_University_of_Berlin TU Berlin], advisor [[Mathematician#KRMueller|Klaus-Robert Müller]]
* [[Volodymyr Mnih]], [[Koray Kavukcuoglu]], [[David Silver]], [[Alex Graves]], [[Ioannis Antonoglou]], [[Daan Wierstra]], [[Martin Riedmiller]] ('''2013'''). ''Playing Atari with Deep Reinforcement Learning''. [http://arxiv.org/abs/1312.5602 arXiv:1312.5602] <ref>[http://www.nervanasys.com/demystifying-deep-reinforcement-learning/ Demystifying Deep Reinforcement Learning] by [http://www.nervanasys.com/author/tambet/ Tambet Matiisen], [http://www.nervanasys.com/ Nervana], December 21, 2015</ref>
* [[Jürgen Schmidhuber]] ('''2013'''). ''My First Deep Learning System of 1991 + Deep Learning Timeline 1962-2013''. [https://arxiv.org/abs/1312.5548 arXiv:1312.5548]
'''2014'''
* [[Ian Goodfellow]], [[Jean Pouget-Abadie]], [[Mehdi Mirza]], [[Bing Xu]], [[David Warde-Farley]], [[Sherjil Ozair]], [[Aaron Courville]], [[Yoshua Bengio]] ('''2014'''). ''Generative Adversarial Networks''. [https://arxiv.org/abs/1406.2661v1 arXiv:1406.2661v1]
