SUMMARY OF JUERGEN SCHMIDHUBER'S PROFESSIONAL ACTIVITIES IN 2012

PUBLICATIONS OF 2012 (published/accepted)
    (for pre-2012 and post-2012 articles, PDFs/HTMLs/overviews see http://www.idsia.ch/~juergen/onlinepub.html)

BOOKS 2012
In preparation: J. Schmidhuber, F. Gomez, A. Graves, S. Hochreiter. Sequence Learning with Artificial Recurrent Neural Networks. (Aiming to become the definitive textbook on RNN.) Invited by Cambridge University Press.

JOURNALS 2012 
8.  J. Schmidhuber. Turing in Context. Letter, Science, vol 1638, p 1639, June 2012, DOI:10.1126/science.336.6089.1638-c. (See also comment on response by A. Hodges DOI:10.1126/science.336.6089.1639-a)
7.  J. Schmidhuber. Turing: Keep his work in perspective. Correspondence, Nature, vol 483, p 541, March 2012, doi:10.1038/483541b.
6.  V. R. Kompella, M. Luciw, J. Schmidhuber. Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams. Neural Computation, Vol. 24, No. 11, Pages 2994-3024, 2012. 
5.  J. Leitner, S. Harding, M. Frank, A. Foerster, J. Schmidhuber. Learning Spatial Object Localisation from Vision on a Humanoid Robot. International Journal of Advanced Robotic Systems (ARS), 2012.
4.  L. Pape, C. M. Oddo, M. Controzzi, C. Cipriani, A. Foerster, M. C. Carrozza, J. Schmidhuber. Learning tactile skills through curious exploration. Frontiers in Neurorobotics 6:6, 2012, doi: 10.3389/fnbot.2012.00006
3.  D. C. Ciresan, U. Meier, J. Masci, J. Schmidhuber. Multi-Column Deep Neural Network for Traffic Sign Classification. Neural Networks 32: 333-338, 2012. 
2.  J. Schmidhuber. Philosophers & Futurists, Catch Up! Response to The Singularity. Journal of Consciousness Studies, Volume 19, Numbers 1-2, pp. 173-182(10), 2012. 
1.  T. Glasmachers, J. Koutnik, J. Schmidhuber. Kernel Representations for Evolving Continuous Functions. Evolutionary Intelligence Journal, 2012.

INVITED BOOK CHAPTERS 2012
5.  J. Schmidhuber. The Fastest Way of Computing All Universes. In H. Zenil, ed., A Computable Universe. World Scientific, 2012. 
4.  B. R. Steunebrink, J. Schmidhuber. Towards an Actual Gšdel Machine Implementation. In P. Wang, B. Goertzel, eds., Theoretical Foundations of Artificial General Intelligence. Springer, 2012.
3.  J. Schmidhuber. A Formal Theory of Creativity to Model the Creation of Art. In J. McCormack (ed.), Computational Creativity. MIT Press, 2012. 
2.  S. Harding, J. Leitner, J. Schmidhuber. Cartesian Genetic Programming for Image Processing (CGP-IP).  In Genetic Programming Theory and Practice, Genetic and Evolutionary Computation. Springer, Ann Arbor, 2012.
1.  D. C. Ciresan, U. Meier, L. M. Gambardella, J. Schmidhuber. Deep Big Multilayer Perceptrons For Digit Recognition. In Neural Networks Tricks of the Trade, p 581-598, 2012.

CONFERENCES 2012
24. J. Nagi, H. Ngo, A. Giusti, L. M. Gambardella, J. Schmidhuber, G. A. Di Caro. Incremental Learning using Partial Feedback for Gesture-based Human-Swarm Interaction, in Proc. of the 21st IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Sept. 9-13, Paris, France, 2012, pp. 898-905.
23. J. Leitner, S. Harding, M. Frank, A. Fšrster, and J. Schmidhuber. Towards Spatial Perception: Learning to Locate Objects From Vision. Postgraduate Conference on Robotics and Development of Cognition (RobotDoC-PhD). Lausanne, 2012.
22. J. Leitner, S. Harding, M. Frank, A. Fšrster and J. Schmidhuber. icVision: A Modular Vision System for Cognitive Robotics Research. 5th International Conference on Cognitive Systems (CogSys). Vienna, Austria, 2012.
21. D. Ciresan, A. Giusti, L. Gambardella, J. Schmidhuber. Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images. In Advances in Neural Information Processing Systems (NIPS 2012), Lake Tahoe, 2012.
20. S. Yi, F. Gomez, J. Schmidhuber. On the Size of the Online Kernel Sparsification Dictionary. Proc. International Conference on Machine Learning ICML 2012, Edinburgh.
19. D. Ciresan, U. Meier, J. Schmidhuber. Multi-column Deep Neural Networks for Image Classification. Proc. IEEE Conf. on Computer Vision and Pattern Recognition CVPR 2012, p 3642-3649. Longer Tech Report: arXiv:1202.2745v1 [cs.CV]
18. J. Leitner, S. Harding, M. Frank, A. Foerster, J. Schmidhuber. Transferring Spatial Perception Between Robots Operating In A Shared Workspace. Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'12), Vilamoura, 2012.
17. L. Gisslen, M. Ring, M. Luciw, J. Schmidhuber. Modular Value Iteration Through Regional Decomposition. In Proc. Fifth Conference on Artificial General Intelligence (AGI-12), Oxford, UK, 2012.
16. J. Leitner, S. Harding, A. Foerster, J. Schmidhuber. Mars Terrain Image Classification using Cartesian Genetic Programming. 11th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS). Torino, Italy, 2012.
15. M. Frank, J. Leitner, M. Stollenga, G. Kaufmann, S. Harding, A. Fšrster, J. Schmidhuber. The Modular Behavioral Environment for Humanoids & other Robots (MoBeE). 9th International Conference on Informatics in Control, Automation and Robotics (ICINCO). Rome, Italy, 2012.
14. J. Leitner, P. Chandrashekhariah, S. Harding, M. Frank, G. Spina, A. Foerster, J. Triesch, J. Schmidhuber. Autonomous Learning Of Robust Visual Object Detection and Identification on a Humanoid. Proc. IEEE Conference on Development and Learning / EpiRob 2012 (ICDL-EpiRob'12), San Diego, 2012. Paper of Excellence Award.
13. V. R. Kompella, M. Luciw, M. Stollenga, L. Pape, J. Schmidhuber. Autonomous Learning of Abstractions using Curiosity-Driven Modular Incremental Slow Feature Analysis. Proc. IEEE Conference on Development and Learning / EpiRob 2012 (ICDL-EpiRob'12), San Diego, 2012.
12. R. K. Srivastava, B. Steunebrink, M. Stollenga, J. Schmidhuber Continually Adding Self-Invented Problems to the Repertoire: First Experiments with PowerPlay. Proc. IEEE Conference on Development and Learning / EpiRob 2012 (ICDL-EpiRob'12), San Diego, 2012.
11. S. Kazerounian, M. Luciw, Y. Sandamirskaya, M. Richter, J. Schmidhuber, G. Schoener. Autonomous Reinforcement of Behavioral Sequences in Neural Dynamics. Proc. IEEE Conference on Development and Learning / EpiRob 2012 (ICDL-EpiRob'12), San Diego, 2012.
10. M. Luciw, J. Schmidhuber. Low Complexity Proto-Value Function Updating with Incremental Slow Feature Analysis. Proc. International Conference on Artificial Neural Networks (ICANN 2012), Lausanne, 2012.
9.  R. K. Srivastava, F. Gomez, J. Schmidhuber. Generalized Compressed Network Search. In C. Coello Coello, V. Cutello, K. Deb, S. Forrest, G. Nicosia, M. Pavone, eds., 12th Int. Conf. on Parallel Problem Solving from Nature - PPSN XII, Taormina, 2012.
8.  F. Gomez, J. Koutnik, J. Schmidhuber. Compressed Network Complexity Search. In C. Coello Coello, V. Cutello, K. Deb, S. Forrest, G. Nicosia, M. Pavone, eds., 12th Int. Conf. on Parallel Problem Solving from Nature - PPSN XII, Taormina, 2012. Nominated for best paper award.
7.  H. Ngo, M. Luciw, A. Foerster, J. Schmidhuber. Learning Skills from Play: Artificial Curiosity on a Katana Robot Arm. Proc. IJCNN 2012.
6.  J. Masci, U. Meier, D. Ciresan, G. Fricout, J. Schmidhuber Steel Defect Classification with Max-Pooling Convolutional Neural Networks. Proc. IJCNN 2012.
5.  D. Ciresan, U. Meier, J. Schmidhuber. Transfer Learning for Latin and Chinese Characters with Deep Neural Networks. Proc. IJCNN 2012, p 1301-1306, 2012.
4.  F. Gomez, J. Koutnik, J. Schmidhuber. Complexity Search for Compressed Neural Networks. Proc. GECCO 2012.
3.  G. Cuccu, F. Gomez. Block Diagonal Natural Evolution Strategies. In C. Coello Coello, V. Cutello, K. Deb, S. Forrest, G. Nicosia, M. Pavone, eds., PPSN XII, Taormina, 2012.
2.  R. K. Srivastava, J. Schmidhuber, F. Gomez. Generalized Compressed Network Search. Proc. GECCO 2012.
1.  S. Harding, V. Graziano, J. Leitner, J. Schmidhuber. MT-CGP: Mixed Type Cartesian Genetic Programming. Proc. GECCO 2012. 

HONORS 2012

HELMHOLTZ AWARD announced:
JS is recipient of the 2013 Helmholtz Award of the International Neural Networks Society. Award ceremony scheduled for August 2013 in Dallas. 

FIRST PRIZES IN INTERNATIONAL COMPETITIONS 2012
   The neural networks developed in JS' lab won two international contests (with D. Ciresan, A. Giusti):
2. ICPR 2012 Contest on Mitosis Detection in Breast Cancer Histological Images (MITOS).
1. ISBI 2012 Image Segmentation Challenge (with superhuman pixel error rate).

SELECTED INVITED TALKS / VIDEOS 2012
5. Dec 10: Keynote for Bionetics 2012
4. Nov 10: TEDx UHasselt: In the beginning was the code
3. Oct 15: Keynote for IScIDE 2012, Nanjing, China
2. Jun 13: JS in the US TV Premiere of Through the Wormhole with Morgan Freeman on the Science Channel
1. Jan 20: TEDx Lausanne: When creative machines overtake man

TEACHING 2012
WS 2012/2013: Masters Course Intelligent Systems (Machine Learning)

SCIENTIFIC SERVICE 2012
JS reviewed scientific grant proposals and papers,
and served on the editorial boards of various journals.

EXTERNALLY FUNDED PROJECTS SINCE 2009 
Value of Schmidhuber's direct external competitive funding at IDSIA 
through new grants since 2009 (without funding for project partners): 
> EUR 6m, or > CHF 7m, or > US$ 7m (not counting ongoing projects that started earlier).
Total value of corresponding new projects: many times more.
Sources: EU, SNF, CTI, Industry, others.