SUMMARY OF SCHMIDHUBER'S PROFESSIONAL ACTIVITIES IN 2007 

PUBLICATIONS OF 2007 (published, accepted, invited, submitted - for pre-2007 articles, PDFs / HTMLs of printed publications, and overview links see http://www.idsia.ch/~juergen/onlinepub.html)

JOURNALS 2007
10. A. Graves, M. Liwicki, S. Fernandez, R. Bertolami, H. Bunke, J. Schmidhuber. A Novel Connectionist System for Improved Unconstrained Handwriting Recognition. Submitted 2007
9. D. Ryabko and J. Schmidhuber. Using Data Compressors to Construct Order Tests for Homogeneity and Component Independence. Submitted to Applied Mathematics Letters, 2007. arXiv:0709.0670
8. F. Gomez, J. Schmidhuber, R. Miikkulainen. Efficient Non-Linear Control through Neuroevolution. Journal of Machine Learning Research, accepted (pending minor revisions) 2007
7. J. Schmidhuber. Simple Algorithmic Principles of Artificial Curiosity, Creativity, Attention, and Subjective Beauty. SICE Journal, invited in 2007
6. H. Mayer, F. Gomez, D. Wierstra, I. Nagy, A. Knoll, and J. Schmidhuber. A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks. Advanced Robotics, invited in 2007
5. J. Schmidhuber. Alle berechenbaren Universen. (All computable universes.)  Spektrum der Wissenschaft (German edition of Scientific American),  2007, Spezial 3/07, p. 75-79, 2007.
4. J. Schmidhuber, D. Wierstra, M. Gagliolo, F. Gomez. Training Recurrent Networks by Evolino. Neural Computation, 19(3): 757-779, 2007
3. A. Chernov, M. Hutter, J. Schmidhuber. Algorithmic Complexity Bounds on Future Prediction Errors. Information and Computation 205(2):242-261, 2007
2. J. Schmidhuber: Prototype Resilient, Self-Modeling Robots. Science 316, no. 5825 p 688, 2007 (short correspondence)
1. M. Gagliolo, J. Schmidhuber: Learning Dynamic Algorithm Portfolios. Annals of Mathematics and Artificial Intelligence (2006) 47:295-328, doi 10.1007/s10472-006-9036-z, published online January 2007

CONFERENCES 2007
11. J. Schmidhuber. Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity. In V. Corruble, M. Takeda, E. Suzuki, eds., Proc. 10th Intl. Conf. on Discovery Science (DS 2007) p. 26-38, LNAI 4755, Springer, 2007. Joint invited lecture for DS 2007 and ALT 2007, Sendai, Japan, 2007. Preprint: arxiv:0709.0674
10. J. Schmidhuber (see #11 above): Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity. M. Hutter, R. A. Servedio, E. Takimoto, eds., Proc. 18th Intl. Conf. on Algorithmic Learning Theory (ALT 2007) p. 32, LNAI 4754, Springer, 2007. Joint invited lecture for ALT 2007 and DS 2007
9. A. Graves, S. Fernandez, J. Schmidhuber. Unconstrained online handwriting recognition with recurrent neural networks. Advances in Neural Information Processing Systems 21, NIPS'21, Vancouver, 2007, in press
8. D. Wierstra, J. Schmidhuber. Policy Gradient Critics. 18th European Conference on Machine Learning ECML, Warszaw, 2007
7. M. Liwicki, A. Graves, H. Bunke, J. Schmidhuber. A novel approach to on-line handwriting recognition based on bidirectional long short-term memory networks. 9th International Conference on Document Analysis and Recognition, 2007
6. S. Fernandez, A. Graves, J. Schmidhuber. An application of recurrent neural networks to discriminative keyword spotting. Intl. Conf. on Artificial Neural Networks ICANN'07, 2007
5. A. Graves, S. Fernandez, J. Schmidhuber. Multi-Dimensional Recurrent Neural Networks. Intl. Conf. on Artificial Neural Networks ICANN'07, 2007
4. D. Wierstra, A. Foerster, J. Schmidhuber. Solving Deep Memory POMDPs with Recurrent Policy Gradients. Intl. Conf. on Artificial Neural Networks ICANN'07, 2007
3. A. Foerster, A. Graves, J. Schmidhuber. RNN-based Learning of Compact Maps for Efficient Robot Localization. 15th European Symposium on Artificial Neural Networks, ESANN, Bruges, Belgium, 2007
2. S. Fernandez, A. Graves, J. Schmidhuber. Sequence labelling in structured domains with hierarchical recurrent neural networks. In Proc. 20th International Joint Conference on Artificial Intelligence (IJCAI 07), p. 774-779, Hyderabad, India, 2007 (talk)
1. M. Gagliolo and J. Schmidhuber. Learning restart strategies. In M. M. Veloso, ed., Proc. 20th International Joint Conference on Artificial Intelligence (IJCAI 07), p. 792-797, Hyderabad, India, AAAI Press, 2007 (talk)

ACCEPTANCE RATES where known: IJCAI: 15% (two talks), NIPS: 25%, ECML: 21%

BOOKS 2007
J. Schmidhuber, F. Gomez, S. Fernandez, A. Graves, S. Hochreiter. Sequence Learning with Artificial Recurrent Neural Networks. (Aiming to become the definitive textbook on RNN.) Invited by Cambridge University Press, 2007, in preparation. 

INVITED BOOK CHAPTERS 2007
2. J. Schmidhuber. Celebrating 75 years of AI - History and Outlook: the Next 25 Years. Proc. 50th Anniversary of AI, LNAI, Springer, 2007, in press
1. J. Schmidhuber. New Millennium AI. In W. Duch and J. Mandziuk, eds., Challenges to Computational Intelligence, p 15-36, Studies in Computational Intelligence, vol. 63, Springer-Verlag, 2007. Preprint: arXiv:cs.AI/0606081

OTHER SELECTED JOURNAL PUBLICATIONS OF SCHMIDHUBER'S GROUP 2007
4. D. Ryabko, M. Hutter. Predicting Non-Stationary Processes. Applied Mathematics Letters, 2007, accepted. (J. Schmidhuber's SNF grant 21-113364.)
3. D. Ryabko, M. Hutter. On the Possibility of Learning in Reactive Environments with Arbitrary Dependence. Theoretical Computer Science, 2007, accepted. (J. Schmidhuber's SNF grant 21-113364.)
2. I. N. Athanasiadis. The Fuzzy Lattice Reasoning Classifier for mining environmental data. Studies in Computational Intelligence, 67:175-193, 2007. (J. Schmidhuber's SNF grant 21-113364.)
1. V. G. Kaburlasos, I. N. Athanasiadis, and P. A. Mitkas. Fuzzy Lattice Reasoning (FLR) classifier and its application for ambient ozone estimation. International Journal of Approximate Reasoning, 45(1):152-188, 2007. (J. Schmidhuber's SNF grant 21-113364.)

TEACHING 2007
WS 2007/08: Course Machine Learning I, Proseminar Genetic Programming, Seminar Reinforcement Learning, Seminar Machine Learning and Computer Vision. 
SS 2007: Course Machine Learning II, Machine Learning Lab Course, Proseminar Genetic Programming, Seminar Machine Learning and Computer Vision, Seminar Probabilistic Models of the Brain
WS 2006/07: Course Machine Learning 1, Machine Learning Lab Course, Proseminar Game Theory (2 groups), Proseminar Music and Computer Science, Seminar Machine Learning and Computer Vision, PhD student seminar, Sep 17-29: Sarntal Ferienakademie: Music & Machine Learning

SCIENTIFIC EVENTS ORGANIZED IN 2007
Co-Organizer of the European Land Robot Trials ELROB 2007, August 2007, Switzerland
Co-Organizer of the CoTeSys Workshop on Learning & Planning 2007
Co-Organizer of the NanoBioTact Workshop on Tactile Sensing 2007

SELECTED INVITED TALKS 2007
2 Oct: J. Schmidhuber. Joint Invited Lecture for Algorithmic Learning Theory (ALT 2007) and Discovery Science (DS 2007), Sendai, Japan: Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity.
22 Aug: J. Schmidhuber. Invited Plenary Talk at the A*STAR Meeting on Expectation & Surprise, Singapore: On Artificial Curiosity
12 July: J. Schmidhuber. Invited Plenary Address at "Art Meets Science 2007": Randomness vs simplicity & beauty in physics and the fine arts.
24 Apr: J. Schmidhuber. Invited Plenary Talk at ACAT'07 (Advanced Computing and Analysis Techniques in Physics Research), Amsterdam: How to learn a program.
Additional invited talks at Gatsby Neuroscience (UK), Reading Univ. (UK), Univ. Bochum, LMU Munich, BSI Riken (Japan), Univ. Tokyo, Univ. Hokkaido, Univ. Kyoto

PROJECTS / GRANTS 2007
NanoBioTact (ongoing EU project) 
Mind Races (finished EU project) 
Excellence Cluster Cognitive Technical Systems (CoTeSys)  
Theory & Practice of RL (ongoing SNF project)
Supervised Recurrent Networks (ongoing SNF project)
Also external funding for research visits from abroad.
New grants from Hasler-Stiftung and CoTeSys