Jürgen+Schmidhuber

a German computer scientist, artist, professor of Artificial Intelligence at the Faculty of Computer Science, [|University of Lugano], professor at [|SUPSI] in [|Manno], director of the Swiss [|AI Lab IDSIA], [|Lugano], and [|Professor Extraordinarius] at Technical University of Munich. He is known for his research on machine learning, genetic programming, universal AI along with his former postdoc Marcus Hutter, artificial neural networks, [|recurrent neural networks], deep learning , Zuse's [|calculating space], [|Gödel machines], [|universal search], [|theory of everything], [|digital physics], [|algorithmic information theory], [|Kolmogorov complexity], and [|low-complexity art]. || toc =Low-Complexity Art= =See also=
 * Home * People * Jürgen Schmidhuber**
 * [[image:juergenlago.jpg link="http://www6.in.tum.de/Main/Schmidhu"]] ||~  || **Jürgen Schmidhuber**,
 * Jürgen Schmidhuber ||~  ||^   ||
 * [[image:profileex.gif link="http://www.idsia.ch/%7Ejuergen/locoart/node12.html"]] ||
 * Illustration of the low [|Kolmogorov complexity] ||
 * Deep Learning RNNaissance with Jürgen Schmidhuber

=Selected Publications=

1990 ...

 * Jürgen Schmidhuber, Rudolf Huber (**1991**). //Learning to Generate Artificial Fovea Trajectories for Target Detection//. [|International Journal of Neural Systems, Vol. 2, No. 1-2], [|pdf]
 * Jürgen Schmidhuber, Rudolf Huber (**1991**). //Using sequential adaptive Neuro-control for efficient Learning of Rotation and Translation Invariance//. In [|Teuvo Kohonen], [|Kai Mäkisara], [|Olli Simula], and [|Jari Kangas], editors, //[|Artificial Neural Networks]//. [|Elsevier]
 * Jürgen Schmidhuber (**1991**). //[|Dynamische neuronale Netze und das fundamentale raumzeitliche Lernproblem]// (Dynamic Neural Nets and the Fundamental Spatio-Temporal Credit Assignment Problem). PhD thesis
 * Jürgen Schmidhuber (**1993**). //[|Netzwerkarchitekturen, Zielfunktionen und Kettenregel]//. Habilitationsschrift, Technische Universität München (German)
 * Sepp Hochreiter, Jürgen Schmidhuber (**1995**). //[|Simplifying Neural Nets by Discovering Flat Minima]//. In Gerald Tesauro, [|David S. Touretzky] and [|Todd K. Leen] (eds.), //[|Advances in Neural Information Processing Systems 7]//, NIPS'7, pages 529-536. [|MIT Press]
 * Sepp Hochreiter, Jürgen Schmidhuber (**1997**). //Long short-term memory//. [|Neural Computation], Vol. 9, No. 8, [|pdf]
 * Jürgen Schmidhuber (**1997**). //[|Low-Complexity Art]//. [|Leonardo, Journal of the International Society for the Arts, Sciences, and Technology], Vol. 30 No. 2, [|MIT Press]
 * Marco Wiering, Jürgen Schmidhuber (**1997**). //[|HQ-learning]//. [|Adaptive Behavior], Vol. 6, No 2
 * Marco Wiering, Jürgen Schmidhuber (**1998**). //[|Fast online Q (λ)]//. [|Machine Learning], Vol. 33, No. 1

2000 ...

 * [|Magdalena Klapper-Rybicka], Nicol N. Schraudolph, Jürgen Schmidhuber (**2001**). //[|Unsupervised Learning in LSTM Recurrent Neural Networks]//. [|ICANN 2001]
 * Jürgen Schmidhuber (**2003**). //[|The New AI:General & Sound & Relevant for Physics]//. Technical Report IDSIA-04-03
 * Jürgen Schmidhuber (**2004**). //[|Turing's impact]//. [|Nature] 429
 * [|Faustino J. Gomez], Jürgen Schmidhuber (**2005**). //Co-Evolving Recurrent Neurons Learn Deep Memory POMDPs//. [|GECCO 2005], [|pdf]

2010 ...

 * Jürgen Schmidhuber (**2014**). //Deep Learning in Neural Networks: An Overview//. [|arXiv:1404.7828]
 * Jürgen Schmidhuber (**2015**). //[|Deep Learning in Neural Networks: An Overview]//. [|Neural Networks], Vol. 61
 * Jürgen Schmidhuber, [|Faustino J. Gomez], [|Santiago Fernández], [|Alex Graves], Sepp Hochreiter (**201?**). //[|Sequence Learning with Artificial Recurrent Neural Networks]//. (Aiming to become the definitive textbook on RNN.) Invited by [|Cambridge University Press]

=External Links=
 * [|Jürgen Schmidhuber from Wikipedia]
 * [|Prof. Dr. rer. nat. habil. Jürgen Schmidhuber « Robotics and Embedded Systems]
 * [|Build An Optimal Scientist, Then Retire], Jürgen Schmidhuber Interview at [|h+ Magazine] by [|Michael Anissimov], January 5, 2010
 * [|Deep Learning - Scholarpedia] by Jürgen Schmidhuber

Schmidhuber Links
> [|Gödel Machine Home Page] > [|Zuse's Thesis - Zuse hypothesis - Algorithmic Theory of Everything - Digital Physics, Rechnender Raum (Computing Space, Computing Cosmos) - Computable Universe - The Universe is a Computer - Theory of Everything]
 * [|Juergen Schmidhuber's home page]
 * [|Learning Robots/ Robot Learning]
 * [|Reinforcement Learning and POMDPs]
 * [|Universal Learning Machines - Optimal Universal AI]
 * [|Very Deep Learning Since 1991]
 * [|Neural Nets for Finance]
 * [|Kurt Gödel] by Jürgen Schmidhuber
 * [|Alan Turing] by Jürgen Schmidhuber » Alan Turing
 * [|Konrad Zuse] by Jürgen Schmidhuber » Konrad Zuse
 * [|Femme Fractale: Lady in Red] (1997-2010)
 * [|Formal Theory of Creativity and Fun and Intrinsic Motivation Explains Science, Art, Music, Humor]
 * [|Videos of Juergen Schmidhuber & the Swiss AI Lab IDSIA]

Singularity Summit 2009
> [|Intelligence Explosion from Wikipedia] > media type="custom" key="25858360"
 * [|Singularity Summit from Wikipedia]
 * [|Technological Singularity from Wikipedia]
 * [|Superhuman Intelligence from Wikipedia]
 * [|Singularity Institute for Artificial Intelligence from Wikipedia]
 * Artificial Curiosity & Creativity: Schmidhuber's Hilarious Talk at the Singularity Summit 2009, [|YouTube] Video

=References= =What links here?= include page="Jürgen Schmidhuber" component="backlinks" limit="40"
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