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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>
* [[Risto Miikkulainen]] ('''2013'''). ''Evolving Neural Networks''. [https://dblp.org/db/conf/ijcnn/ijcnn2013 IJCNN 2013], [http://nn.cs.utexas.edu/downloads/slides/miikkulainen.ijcnn13.pdf pdf]
'''2014'''
* [[Mathematician#YDauphin|Yann Dauphin]], [[Mathematician#RPascanu|Razvan Pascanu]], [[Mathematician#CGulcehre|Caglar Gulcehre]], [[Mathematician#KCho|Kyunghyun Cho]], [[Mathematician#SGanguli|Surya Ganguli]], [[Mathematician#YBengio|Yoshua Bengio]] ('''2014'''). ''Identifying and attacking the saddle point problem in high-dimensional non-convex optimization''. [https://arxiv.org/abs/1406.2572 arXiv:1406.2572] <ref>[https://groups.google.com/d/msg/fishcooking/wOfRuzTSi_8/VgjN8MmSBQAJ high dimensional optimization] by [[Warren D. Smith]], [[Computer Chess Forums|FishCooking]], December 27, 2019</ref>
