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==1990 ...==
* [[Mathematician#PWerbos|Paul Werbos]] ('''1990'''). ''Backpropagation Through Time: What It Does and How to Do It''. Proceedings of the [[IEEE]], Vol. 78, No. 10, [http://deeplearning.cs.cmu.edu/pdfs/Werbos.backprop.pdf pdf]
* [[Chris J. Thornton]] ('''1990'''). ''[https://link.springer.com/chapter/10.1007/978-94-009-0643-3_155 The Kink Representation for Exclusive-OR]''. [https://link.springer.com/book/10.1007/978-94-009-0643-3 International Neural Network Conference]
* [[Gordon Goetsch]] ('''1990'''). ''Maximization of Mutual Information in a Context Sensitive Neural Network''. Ph.D. thesis
* [[Vadim Anshelevich]] ('''1990'''). ''Neural Networks''. Review. in Multi Component Systems (Russian)
* [[Douglas Bagnall]] ('''2015'''). ''Author Identification using Multi-headed Recurrent Neural Networks''. [https://arxiv.org/abs/1506.04891 arXiv:1506.04891]
* [[Guillaume Desjardins]], [[Karen Simonyan]], [[Mathematician#RPascanu|Razvan Pascanu]], [[Koray Kavukcuoglu]] ('''2015'''). ''Natural Neural Networks''. [https://arxiv.org/abs/1507.00210 arXiv:1507.00210]
* [[Barak Oshri]], [[Nishith Khandwala]] ('''2015'''). ''Predicting Moves in Chess using Convolutional Neural Networks''. [http://cs231nvision.stanford.edu/teaching/cs231n/reports/2015/pdfs/ConvChess.pdf pdf] <ref>[https://github.com/BarakOshri/ConvChess GitHub - BarakOshri/ConvChess: Predicting Moves in Chess Using Convolutional Neural Networks]</ref> <ref>[http://www.talkchess.com/forum/viewtopic.php?t=63458 ConvChess CNN] by [[Brian Richardson]], [[CCC]], March 15, 2017</ref>
* [[Mathematician#YLeCun|Yann LeCun]], [[Mathematician#YBengio|Yoshua Bengio]], [[Mathematician#GEHinton|Geoffrey E. Hinton]] ('''2015'''). ''[http://www.nature.com/nature/journal/v521/n7553/full/nature14539.html Deep Learning]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 521 <ref>[[Jürgen Schmidhuber]] ('''2015''') ''[http://people.idsia.ch/~juergen/deep-learning-conspiracy.html Critique of Paper by "Deep Learning Conspiracy" (Nature 521 p 436)]''.</ref>
* [[Matthew Lai]] ('''2015'''). ''Giraffe: Using Deep Reinforcement Learning to Play Chess''. M.Sc. thesis, [https://en.wikipedia.org/wiki/Imperial_College_London Imperial College London], [http://arxiv.org/abs/1509.01549v1 arXiv:1509.01549v1] » [[Giraffe]]
* [[Audrūnas Gruslys]], [[Rémi Munos]], [[Ivo Danihelka]], [[Marc Lanctot]], [[Alex Graves]] ('''2016'''). ''Memory-Efficient Backpropagation Through Time''. [https://arxiv.org/abs/1606.03401v1 arXiv:1606.03401]
* [[Mathematician#AARusu|Andrei A. Rusu]], [[Neil C. Rabinowitz]], [[Guillaume Desjardins]], [[Hubert Soyer]], [[James Kirkpatrick]], [[Koray Kavukcuoglu]], [[Mathematician#RPascanu|Razvan Pascanu]], [[Mathematician#RHadsell|Raia Hadsell]] ('''2016'''). ''Progressive Neural Networks''. [https://arxiv.org/abs/1606.04671 arXiv:1606.04671]
* [[Douglas Bagnall]] ('''20152016'''). ''Authorship clustering using multi-headed recurrent neural networks''. [https://arxiv.org/abs/1608.04485 arXiv:1608.04485]
* [[Gao Huang]], [[Zhuang Liu]], [[Laurens van der Maaten]], [[Kilian Q. Weinberger]] ('''2016'''). ''Densely Connected Convolutional Networks''. [https://arxiv.org/abs/1608.06993 arXiv:1608.06993] <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=75665&start=9 Re: Minic version 3] by [[Connor McMonigle]], [[CCC]], November 03, 2020 » [[Minic#Minic 3|Minic 3]], [[Seer|Seer 1.1]]</ref>
* [[George Rajna]] ('''2016'''). ''Deep Neural Networks''. [http://vixra.org/abs/1609.0126 viXra:1609.0126]
* [[George Rajna]] ('''2017'''). ''Artificial Neural Network''. [http://vixra.org/abs/1702.0130 viXra:1702.0130]
* [[Raúl Rojas]] ('''2017'''). ''Deepest Neural Networks''. [https://arxiv.org/abs/1707.02617 arXiv:1707.02617]
* [[Matej Moravčík]], [[Mathematician#MSchmid|Martin Schmid]], [[Neil Burch]], [[Viliam Lisý]], [[Dustin Morrill]], [[Nolan Bard]], [[Trevor Davis]], [[Kevin Waugh]], [[Michael Johanson]], [[Michael Bowling]] ('''2017'''). ''[http://science.sciencemag.org/content/356/6337/508 DeepStack: Expert-level artificial intelligence in heads-up no-limit poker]''. [https://en.wikipedia.org/wiki/Science_(journal) Science], Vol. 356, No. 6337
* [[Xinqi Zhu]], [[Michael Bain]] ('''2017'''). ''B-CNN: Branch Convolutional Neural Network for Hierarchical Classification''. [https://arxiv.org/abs/1709.09890 arXiv:1709.09890], [https://github.com/zhuxinqimac/B-CNN GitHub - zhuxinqimac/B-CNN: Sample code of B-CNN paper]
* [[Matthia Sabatelli]] ('''2017'''). ''Learning to Play Chess with Minimal Lookahead and Deep Value Neural Networks''. Master's thesis, [https://en.wikipedia.org/wiki/University_of_Groningen University of Groningen], [https://www.ai.rug.nl/~mwiering/Thesis_Matthia_Sabatelli.pdf pdf] <ref>[https://github.com/paintception/DeepChess GitHub - paintception/DeepChess]</ref>
* [[David Silver]], [[Julian Schrittwieser]], [[Karen Simonyan]], [[Ioannis Antonoglou]], [[Shih-Chieh Huang|Aja Huang]], [[Arthur Guez]], [[Thomas Hubert]], [[Lucas Baker]], [[Matthew Lai]], [[Adrian Bolton]], [[Yutian Chen]], [[Timothy Lillicrap]], [[Fan Hui]], [[Laurent Sifre]], [[George van den Driessche]], [[Thore Graepel]], [[Demis Hassabis]] ('''2017'''). ''[https://www.nature.com/nature/journal/v550/n7676/full/nature24270.html Mastering the game of Go without human knowledge]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 550 <ref>[https://deepmind.com/blog/alphago-zero-learning-scratch/ AlphaGo Zero: Learning from scratch] by [[Demis Hassabis]] and [[David Silver]], [[DeepMind]], October 18, 2017</ref>
* [[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis Hassabis]] ('''2017'''). ''Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm''. [https://arxiv.org/abs/1712.01815 arXiv:1712.01815] » [[Neural Networks#AlphaZero|AlphaZero]] <ref>[http://www.talkchess.com/forum/viewtopic.php?t=65909 Google's AlphaGo team has been working on chess] by [[Peter Kappler]], [[CCC]], December 06, 2017</ref>
* [[Marius Lindauer]], [[Frank Hutter]] ('''2019'''). ''Best Practices for Scientific Research on Neural Architecture Search''. [https://arxiv.org/abs/1909.02453 arXiv:1909.02453]
* [[Guy Haworth]] ('''2019'''). ''Chess endgame news: an endgame challenge for neural nets''. [[ICGA Journal#41_3|ICGA Journal, Vol. 41, No. 3]] » [[Endgame]]
* [https://scholar.google.co.uk/citations?user=JNTc6R4AAAAJ&hl=en Philip G. Breen], [https://scholar.google.com/citations?user=fJmka-IAAAAJ&hl=en Christopher N. Foley], [https://scholar.google.com/citations?user=QOehl_0AAAAJ&hl=en Tjarda Boekholt], [[Simon Portegies Zwart]] ('''2019'''). ''Newton vs the machine: solving the chaotic three-body problem using deep neural networks''. [https://arxiv.org/abs/1910.07291 arXiv:1910.07291]
==2020 ...==
* [[Reid McIlroy-Young]], [[Siddhartha Sen]], [[Jon Kleinberg]], [[Ashton Anderson]] ('''2020'''). ''Aligning Superhuman AI with Human Behavior: Chess as a Model System''. [[ACM#SIGKDD|ACM SIGKDD 2020]], [https://arxiv.org/abs/2006.01855 arXiv:2006.01855] » [[Maia Chess]]
* [[Oisín Carroll]], [[Joeran Beel]] ('''2020'''). ''Finite Group Equivariant Neural Networks for Games''. [https://arxiv.org/abs/2009.05027 arXiv:2009.05027]
* [https://scholar.google.com/citations?user=HT85tXsAAAAJ&hl=en Mohammad Pezeshki], [https://scholar.google.com/citations?user=jKqh8jAAAAAJ&hl=en Sékou-Oumar Kaba], [[Mathematician#YBengio|Yoshua Bengio]] , [[Mathematician#ACourville|Aaron Courville]] , [[Doina Precup]], [https://scholar.google.com/citations?user=ifu_7_0AAAAJ&hl=en Guillaume Lajoie] ('''2020'''). ''Gradient Starvation: A Learning Proclivity in Neural Networks''. [https://arxiv.org/abs/2011.09468 arXiv:2011.09468]
* [[Johannes Czech]], [[Moritz Willig]], [[Alena Beyer]], [[Kristian Kersting]], [[Johannes Fürnkranz]] ('''2020'''). ''[https://www.frontiersin.org/articles/10.3389/frai.2020.00024/full Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data]''. [https://www.frontiersin.org/journals/artificial-intelligence# Frontiers in Artificial Intelligence] » [[CrazyAra]]
'''2021'''
* [[Dominik Klein]] ('''2021'''). ''[https://github.com/asdfjkl/neural_network_chess Neural Networks For Chess]''. [https://github.com/asdfjkl/neural_network_chess/releases/tag/v1.1 Release Version 1.1 · GitHub] <ref>[https://www.talkchess.com/forum3/viewtopic.php?f=2&t=78283 Book about Neural Networks for Chess] by dkl, [[CCC]], September 29, 2021</ref>
* [[Thomas McGrath]], [[Andrei Kapishnikov]], [[Nenad Tomašev]], [[Adam Pearce]], [[Demis Hassabis]], [[Been Kim]], [[Ulrich Paquet]], [[Vladimir Kramnik]] ('''2021'''). ''Acquisition of Chess Knowledge in AlphaZero''. [https://arxiv.org/abs/2111.09259 arXiv:2111.09259] <ref>[https://en.chessbase.com/post/acquisition-of-chess-knowledge-in-alphazero Acquisition of Chess Knowledge in AlphaZero], [[ChessBase|ChessBase News]], November 18, 2021</ref>
=Blog & Forum Posts=
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=76885 A worked example of backpropagation using Javascript] by [[Colin Jenkins]], [[CCC]], March 16, 2021 » [[Neural Networks#Backpropagation|Backpropagation]]
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=77061 yet another NN library] by lucasart, [[CCC]], April 11, 2021 » [[#lucasart|lucasart/nn]]
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=77492 Some more experiments with neural nets] by [[Jonathan Kreuzer]], [[CCC]], June 15, 2021 » [[Slow Chess]]
* [http://www.talkchess.com/forum3/viewtopic.php?f=2&t=77605&start=55 Re: Stockfish 14 has been released] by [[Connor McMonigle]], [[CCC]], July 04, 2021 » [[Stockfish]]
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=77899 tablebase neural nets] by [[Robert Pope]], [[CCC]], August 07, 2021 » [[Endgame Tablebases]]
* [https://www.talkchess.com/forum3/viewtopic.php?f=2&t=78283 Book about Neural Networks for Chess] by dkl, [[CCC]], September 29, 2021
'''2022'''
* [https://www.talkchess.com/forum3/viewtopic.php?f=7&t=79332 Binary Neural Networks Sliding Piece Inference <nowiki>[Release]</nowiki>] by [[Daniel Infuehr]], [[CCC]], February 10, 2022 » [[Sliding Piece Attacks]]
* [https://www.talkchess.com/forum3/viewtopic.php?f=7&t=79368 Failure of trivial approach to neural network move ordering] by [[Jost Triller]], [[CCC]], February 16, 2022 » [[Move Ordering]]
=External Links=
