\begin{thebibliography}{17}
\providecommand{\natexlab}[1]{#1}
\providecommand{\url}[1]{\texttt{#1}}
\expandafter\ifx\csname urlstyle\endcsname\relax
  \providecommand{\doi}[1]{doi: #1}\else
  \providecommand{\doi}{doi: \begingroup \urlstyle{rm}\Url}\fi

\bibitem[Barrera(2007)]{FranciscoYepesBarrera-2007-385}
Francisco~Yepes Barrera.
\newblock B{\'u}squeda de la estructura {\'o}ptima de redes neurales con
  algoritmos gen{\'e}ticos y simulated annealing. verificaci{\'o}n con el
  benchmark proben1.
\newblock \emph{Inteligencia Artificial, Revista Iberoamericana de IA},
  11\penalty0 (34):\penalty0 41--61, 2007.

\bibitem[Bishop(1995)]{Bishop:NNPR:1995}
Christopher~M. Bishop.
\newblock \emph{Neural Networks for Pattern Recognition}.
\newblock Oxford University Press, 1995.

\bibitem[Chen et~al.(2008)Chen, Hu, Li, and Sun]{chen_adaptive_2008}
Badong Chen, Jinchun Hu, Hongbo Li, and Zengqi Sun.
\newblock Adaptive {FIR} {Filtering} under {Minimum} {Error}/{Input}
  {Information} {Criterion}.
\newblock \emph{IFAC Proceedings Volumes}, 41\penalty0 (2):\penalty0
  3539--3543, 2008.
\newblock ISSN 14746670.
\newblock \doi{10.3182/20080706-5-KR-1001.00598}.

\bibitem[Chen et~al.(2013)Chen, Zhu, Hu, and Principe]{chen_system_2013}
Badong Chen, Yu~Zhu, Jinchun Hu, and Jose~C. Principe.
\newblock System {Identification} {Based} on {Mutual} {Information} {Criteria}.
\newblock In \emph{System {Parameter} {Identification}}, pages 205--238.
  Elsevier, 2013.
\newblock ISBN 978-0-12-404574-3.
\newblock \doi{10.1016/B978-0-12-404574-3.00006-3}.

\bibitem[Finnegan and Song(2017)]{finnegan_maximum_2017}
Alex Finnegan and Jun~S. Song.
\newblock Maximum entropy methods for extracting the learned features of deep
  neural networks.
\newblock \emph{PLOS Computational Biology}, 13\penalty0 (10):\penalty0
  e1005836, October 2017.
\newblock ISSN 1553-7358.
\newblock \doi{10.1371/journal.pcbi.1005836}.

\bibitem[Fitzgerald et~al.(2011)Fitzgerald, Sincich, and
  Sharpee]{fitzgerald_minimal_2011}
Jeffrey~D. Fitzgerald, Lawrence~C. Sincich, and Tatyana~O. Sharpee.
\newblock Minimal {Models} of {Multidimensional} {Computations}.
\newblock \emph{PLOS Computational Biology}, 7\penalty0 (3):\penalty0 e1001111,
  March 2011.
\newblock ISSN 1553-7358.
\newblock \doi{10.1371/journal.pcbi.1001111}.

\bibitem[Gao and Hu(2006)]{Gao:MTMBNGA:2006}
Lan Gao and Youwei Hu.
\newblock Multi-target matching based on niching genetic algorithm.
\newblock \emph{JCSNS International Journal of Computer Science and Network
  Security}, 6\penalty0 (7A), July 2006.

\bibitem[Globerson and Tishby(2004)]{globerson_minimum_2004}
Amir Globerson and Naftali Tishby.
\newblock The {Minimum} {Information} {Principle} for {Discriminative}
  {Learning}.
\newblock In \emph{Proceedings of the 20th {Conference} on {Uncertainty} in
  {Artificial} {Intelligence}}, {UAI} '04, pages 193--200, Arlington, Virginia,
  United States, 2004. AUAI Press.
\newblock ISBN 978-0-9749039-0-3.
\newblock event-place: Banff, Canada.

\bibitem[Globerson et~al.(2009)Globerson, Stark, Vaadia, and
  Tishby]{Globerson:2009:MIPNCA}
Amir Globerson, Eran Stark, Eilon Vaadia, and Naftali Tishby.
\newblock The minimum information principle and its application to neural code
  analysis.
\newblock \emph{Proceedings of the National Academy of Sciences of the United
  States of America, PNAS}, 106\penalty0 (9), march 2009.

\bibitem[Levine(2014)]{levine_quantum_2014}
Ira~N. Levine.
\newblock \emph{Quantum chemistry}.
\newblock Pearson, Boston, seventh edition edition, 2014.
\newblock ISBN 978-0-321-80345-0.

\bibitem[Movellan and McClelland(1993)]{movellan_learning_1993}
Javier~R. Movellan and James~L. McClelland.
\newblock Learning {Continuous} {Probability} {Distributions} with {Symmetric}
  {Diffusion} {Networks}.
\newblock \emph{Cognitive Science}, 17\penalty0 (4):\penalty0 463--496, October
  1993.
\newblock ISSN 03640213.
\newblock \doi{10.1207/s15516709cog1704-1}.

\bibitem[Park and Abusalah(1997)]{park_maximum_1997}
Joseph~C. Park and Salahalddin~T. Abusalah.
\newblock Maximum {Entropy}: {A} {Special} {Case} of {Minimum} {Cross}-entropy
  {Applied} to {Nonlinear} {Estimation} by an {Artificial} {Neural} {Network}.
\newblock \emph{Complex Systems}, 11, 1997.

\bibitem[Pires and Perdigao(2012)]{pires_minimum_2012}
Carlos A.~L. Pires and Rui A.~P. Perdigao.
\newblock Minimum {Mutual} {Information} and {Non}-{Gaussianity} {Through} the
  {Maximum} {Entropy} {Method}: {Theory} and {Properties}.
\newblock \emph{Entropy}, 14\penalty0 (6):\penalty0 1103--1126, June 2012.
\newblock ISSN 1099-4300.
\newblock \doi{10.3390/e14061103}.

\bibitem[Prechelt(1994)]{Prechelt:1994:PROBEN1}
Lutz Prechelt.
\newblock Proben1 - a set of neural network benchmark problems and benchmarking
  rules.
\newblock Technical Report 21/94, Fak\"ultat f\"ur Informatik, Universit\"at
  Karlsruhe, 76128 Karlsruhe, Germany, September 1994.

\bibitem[Xiaodong(2014)]{xiaodong_evaluation_2014}
Zhang Xiaodong.
\newblock Evaluation model and simulation of basketball teaching quality based
  on maximum entropy neural network.
\newblock page~5, 2014.

\bibitem[Xu(1999)]{Xu:1999}
Dongxin Xu.
\newblock \emph{Energy, entropy and information potential for neural
  computation}.
\newblock PhD thesis, University of Florida, 1999.

\bibitem[Zhang et~al.(2017)Zhang, Ozay, Sun, and
  Okatani]{zhang_information_2017}
Yan Zhang, Mete Ozay, Zhun Sun, and Takayuki Okatani.
\newblock Information {Potential} {Auto}-{Encoders}.
\newblock \emph{arXiv:1706.04635 [cs, math, stat]}, June 2017.
\newblock arXiv: 1706.04635.

\end{thebibliography}
