Difference between revisions of "Jürgen Schmidhuber"

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==1990 ...==
 
==1990 ...==
 
* [[Jürgen Schmidhuber]] ('''1990'''). ''Reinforcement Learning in Markovian and Non-Markovian Environments''. [https://dblp.uni-trier.de/db/conf/nips/nips1990.html NIPS 1990], [ftp://ftp.idsia.ch/pub/juergen/nipsnonmarkov.pdf pdf]
 
* [[Jürgen Schmidhuber]] ('''1990'''). ''Reinforcement Learning in Markovian and Non-Markovian Environments''. [https://dblp.uni-trier.de/db/conf/nips/nips1990.html NIPS 1990], [ftp://ftp.idsia.ch/pub/juergen/nipsnonmarkov.pdf pdf]
* [[Jürgen Schmidhuber]], [[Rudolf Huber]] ('''1991'''). ''[https://www.researchgate.net/publication/2290900_Using_Adaptive_Sequential_Neurocontrol_For_Efficient_Learning_Of_Translation_And_Rotation_Invariance Using sequential adaptive Neuro-control for efficient Learning of Rotation and Translation Invariance]''. In [https://en.wikipedia.org/wiki/Teuvo_Kohonen Teuvo Kohonen], [https://dblp.uni-trier.de/pers/hd/m/Makisara:Kai Kai Mäkisara], [http://users.ics.tkk.fi/ollis/ Olli Simula], [http://cis.legacy.ics.tkk.fi/jari/ Jari Kangas] (eds.) ('''1991'''). ''[https://www.sciencedirect.com/book/9780444891785/artificial-neural-networks#book-description Artificial Neural Networks]''. [https://en.wikipedia.org/wiki/Elsevier Elsevier]
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* [[Jürgen Schmidhuber]], [[Rudolf Huber]] ('''1991'''). ''[https://www.researchgate.net/publication/2290900_Using_Adaptive_Sequential_Neurocontrol_For_Efficient_Learning_Of_Translation_And_Rotation_Invariance Using sequential adaptive Neuro-control for efficient Learning of Rotation and Translation Invariance]''. In [[Mathematician#TKohonen|Teuvo Kohonen]], [https://dblp.uni-trier.de/pers/hd/m/Makisara:Kai Kai Mäkisara], [http://users.ics.tkk.fi/ollis/ Olli Simula], [http://cis.legacy.ics.tkk.fi/jari/ Jari Kangas] (eds.) ('''1991'''). ''[https://www.sciencedirect.com/book/9780444891785/artificial-neural-networks#book-description Artificial Neural Networks]''. [https://en.wikipedia.org/wiki/Elsevier Elsevier]
* [[Jürgen Schmidhuber]], [[Rudolf Huber]] ('''1991'''). ''[https://www.researchgate.net/publication/2290900_Using_Adaptive_Sequential_Neurocontrol_For_Efficient_Learning_Of_Translation_And_Rotation_Invariance Using sequential adaptive Neuro-control for efficient Learning of Rotation and Translation Invariance]''. In [https://en.wikipedia.org/wiki/Teuvo_Kohonen Teuvo Kohonen], [https://dblp.uni-trier.de/pers/hd/m/Makisara:Kai Kai Mäkisara], [http://users.ics.tkk.fi/ollis/ Olli Simula], [http://cis.legacy.ics.tkk.fi/jari/ Jari Kangas] (eds.) ('''1991'''). ''[https://www.sciencedirect.com/science/article/pii/B9780444891785500063 Artificial Neural Networks]''. [https://en.wikipedia.org/wiki/Elsevier Elsevier]
 
 
* [[Jürgen Schmidhuber]] ('''1991'''). ''[http://people.idsia.ch/~juergen/promotion/ Dynamische neuronale Netze und das fundamentale raumzeitliche Lernproblem]'' (Dynamic Neural Nets and the Fundamental Spatio-Temporal Credit Assignment Problem). Ph.D. thesis
 
* [[Jürgen Schmidhuber]] ('''1991'''). ''[http://people.idsia.ch/~juergen/promotion/ Dynamische neuronale Netze und das fundamentale raumzeitliche Lernproblem]'' (Dynamic Neural Nets and the Fundamental Spatio-Temporal Credit Assignment Problem). Ph.D. thesis
 
* [[Jürgen Schmidhuber]] ('''1993'''). ''[http://www.idsia.ch/~juergen/habilitation/habilitation.html Netzwerkarchitekturen, Zielfunktionen und Kettenregel]''. Habilitationsschrift, [[Technical University of Munich|Technische Universität München]] (German)
 
* [[Jürgen Schmidhuber]] ('''1993'''). ''[http://www.idsia.ch/~juergen/habilitation/habilitation.html Netzwerkarchitekturen, Zielfunktionen und Kettenregel]''. Habilitationsschrift, [[Technical University of Munich|Technische Universität München]] (German)

Revision as of 11:09, 4 July 2020

Home * People * Jürgen Schmidhuber

Jürgen Schmidhuber [1]

Jürgen H. Schmidhuber,
a German computer scientist, researcher and entrepreneur in the field of artificial intelligence, in 2014 co-founder and subsequently chief scientist of the AI company NNAISENSE [2]. His further academic and commercial affiliations include the Faculty of Computer Science, University of Lugano, SUPSI in Manno, the Swiss AI Lab IDSIA, Lugano, and, as student, docent, and from 2004 until 2009 as Professor Extraordinarius, the Technical University of Munich.

Jürgen Schmidhuber is known for his research on machine learning, genetic programming, universal AI along with his former postdoc Marcus Hutter, artificial neural networks in particular recurrent neural networks (RNN) and deep learning, where he along with Sepp Hochreiter coined the term long short-term memory [3], Zuse's calculating space, Gödel machines, universal search, theory of everything, digital physics, algorithmic information theory, Kolmogorov complexity, and low-complexity art [4] .

See also

Selected Publications

[5] [6]

1990 ...

2000 ...

2010 ...

External Links

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

References

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