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 [1], artificial neural networks, recurrent neural networks, deep learning [2], Zuse's calculating space, Gödel machines, universal search, theory of everything, digital physics, algorithmic information theory, Kolmogorov complexity, and low-complexity art [3] .
Jürgen Schmidhuber [4]

Low-Complexity Art

Illustration of the low Kolmogorov complexity [5]

See also

• 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 ^[8]
• 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 ^[9]
• 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

• Juergen Schmidhuber's home page
• Learning Robots/ Robot Learning
• Reinforcement Learning and POMDPs ^[10]
• Universal Learning Machines - Optimal Universal AI
• Very Deep Learning Since 1991
• Neural Nets for Finance
• Kurt Gödel by Jürgen Schmidhuber
  Gödel Machine Home Page
• Alan Turing by Jürgen Schmidhuber » Alan Turing
• Konrad Zuse by Jürgen Schmidhuber » Konrad Zuse
  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
• 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

• Singularity Summit from Wikipedia
• Technological Singularity from Wikipedia
  Intelligence Explosion from Wikipedia
• Superhuman Intelligence from Wikipedia ^[11]
• Singularity Institute for Artificial Intelligence from Wikipedia
• Artificial Curiosity & Creativity: Schmidhuber's Hilarious Talk at the Singularity Summit 2009, YouTube Video ^[12]
  

References

1. ^ Universal Artificial Intelligence
2. ^ Deep Learning - Scholarpedia by Jürgen Schmidhuber
3. ^ Jürgen Schmidhuber from Wikipedia
4. ^ Prof. Dr. rer. nat. habil. Jürgen Schmidhuber « Robotics and Embedded Systems
5. ^ Examples of Cartoons based on rules 1-4, from Jürgen Schmidhuber (1997). Low-Complexity Art. Leonardo, Journal of the International Society for the Arts, Sciences, and Technology, Vol. 30 No. 2, MIT Press
6. ^ Juergen Schmidhuber's publications
7. ^ DBLP: Jürgen Schmidhuber
8. ^ Fovea centralis from Wikipedia
9. ^ Long short term memory from Wikipedia
10. ^ Partially Observable Markov Decision Process (POMDP) from Wikipedia
11. ^ Jack Good (1965). Speculations Concerning the First Ultraintelligent Machine. Advances in Computers, Vol. 6, pdf, pdf
12. ^ Videos of Juergen Schmidhuber & the Swiss AI Lab IDSIA

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