SUMMARY OF JUERGEN SCHMIDHUBER'S PROFESSIONAL ACTIVITIES IN 2013 PUBLICATIONS OF 2013 (for pre-2013 and post-2013 articles, PDFs/HTMLs/overviews see http://www.idsia.ch/~juergen/onlinepub.html) JOURNALS 2013 1. R. K. Srivastava, B. R. Steunebrink, J. Schmidhuber. First experiments with PowerPlay. Neural Networks, Volume 41, May 2013, Pages 130-136. 2. J. Schmidhuber. POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem. Frontiers in Cognitive Science, 2013. 3. M. Luciw, V. R. Kompella, S. Kazerounian, J. Schmidhuber. An intrinsic value system for developing multiple invariant representations with incremental slowness learning. Frontiers in Neurorobotics, Vol. 7 (9), 2013. 4. H. Ngo, M. Luciw, A. Foerster, J. Schmidhuber. Confidence-Based Progress-Driven Self-Generated Goals for Skill Acquisition in Developmental Robots. Frontiers in Psychology, vol. 4, 2013. 5. J. Leitner, S. Harding, P. Chandrashekhariah, M. Frank, A. Fšrster, J. Triesch, J. Schmidhuber. Learning Visual Object Detection and Localisation Using icVision. Biologically Inspired Cognitive Architectures, Vol. 5, 2013. 6. M. Frank, J. Leitner, M. Stollenga, M. Foerster, J. Schmidhuber. Curiosity Driven Reinforcement Learning for Motion Planning on Humanoids. Frontiers in Neurorobotics,7:25, 2013. INVITED BOOK CHAPTERS 2013 1. J. Schmidhuber. New Millennium AI and the Convergence of History: Update of 2012. In A. H. Eden, J. H. Moor, J. H. Soraker, E. Steinhart (eds.), Singularity Hypotheses, Springer, 2013. 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, 2013. CONFERENCES 2013 (projects of JS) 1. A. Giusti, D. Ciresan, J. Masci, L. Gambardella, J. Schmidhuber. Fast Image Scanning with Deep Max-Pooling Convolutional Neural Network. In Proc. IEEE International Conference on Image Processing (ICIP-2013), Melbourne, 2013. 2. M. F. Stollenga, L. Pape, M. Frank, J. Leitner, A. Forster, J. Schmidhuber. Task-Relevant Roadmaps: A Framework for Humanoid Motion Planning. IEEE International Conference on Intelligent Robots and Systems (IROS), Tokyo, 2013. 3. M. F. Stollenga, L. Pape, M. Frank, J. Leitner, A. Forster, J. Schmidhuber. Task Relevant Roadmaps. AAAI Video Competition, Seattle, 2013. 4. M. A. Wiering, M. H. van der Ree, M. J. Embrechts, M. F. Stollenga, A. Meijster, A. Nolte, L. R. B. Schomaker. The Neural Support Vector Machine. Benelux Conference on Artificial Intelligence (BNAIC), Delft, 2013. 5. R. K. Srivastava, J. Masci, S. Kazerounian, F. Gomez, J. Schmidhuber. Compete to Compute. In Advances in Neural Information Processing Systems NIPS, pp. 2310-2318, 2013. 6. J. Nagi, H. Ngo, J. Schmidhuber, L. M. Gambardella, G. A. Di Caro, Human-Robot Cooperation: Fast, Interactive Learning from Binary Feedback, in Proc. of the 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (Video Session), Bielefeld, Germany, Mar. 3-6, 2014 (accepted). 7. S. Kazerounian, M. Luciw, M. Richter, Y. Sandamirskaya. Autonomous Reinforcement of Behavioral Sequences in Neural Dynamics. In Proc. International Joint Conference on Neural Networks (IJCNN), Dallas, 4 August 2013. 8. M. Luciw, K. Lahkman, M. Richter, S. Kazerounian, Y. Sandamirskaya. Learning the Perceptual Conditions of Satisfaction of Elementary Behaviors. Robotics Science and Systems (RSS) Workshop on Active Learning in Robotics: Exploration, Curiosity, and Interaction, Berlin, 2013. 9. D. Ciresan, A. Giusti, L.M. Gambardella, J. Schmidhuber. Mitosis Detection in Breast Cancer Histology Images using Deep Neural Networks. In Proc. of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013), p 411-418, 2013 10. B. R. Steunebrink, J. Koutn’k, K. R. Thorisson, E. Nivel, J. Schmidhuber. Resource-Bounded Machines are Motivated to be Effective, Efficient, and Curious. In K.-U. KŸhnberger, S. Rudolph, and P. Wang, editors, Proceedings of the 6th Conference on Artificial General Intelligence (AGI 2013), LNAI 7999, pages 119-129, Springer, 2013. 11. E. Nivel, K. R. Thorisson, B. R. Steunebrink, H. Dindo, G. Pezzulo, M. Rodriguez, C. Hernandez, D. Ognibene, J. Schmidhuber, R. Sanz, H. P. Helgason, A. Chella, G. K. Jonsson. Bounded Recursive Self-Improvement. TR RUTR-SCS13006, Reykjavik University, 2013. 12. J. Koutnik, G. Cuccu, J. Schmidhuber, F. Gomez. Evolving Large-Scale Neural Networks for Vision-Based TORCS. In Foundations of Digital Games (FDG), pp. 206-212, Chania, Crete, 2013. 13. Y. Sun, F. Gomez, T. Schaul, J. Schmidhuber. A Linear Time Natural Evolution Strategy for Non-Separable Functions. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO, Amsterdam), 2013. 14. J. Koutnik, G. Cuccu, J. Schmidhuber, F. Gomez. Evolving Large-Scale Neural Networks for Vision-Based Reinforcement Learning. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp. 1061-1068, Amsterdam, 2013. 15. J. Leitner, S. Harding, M. Frank, A. Foerster, J. Schmidhuber. Artificial Neural Networks For Spatial Perception: Towards Visual Object Localisation in Humanoid Robots. International Joint Conference on Neural Networks (IJCNN). Dallas, USA. August 2013. 16. J. Leitner, S. Harding, M. Frank, A. Foerster, J. Schmidhuber. Humanoid Learns to Detect Its Own Hands. IEEE Congress on Evolutionary Computing (CEC). Cancun, Mexico. June 2013. 17. H. Ngo, M. Luciw, V. Ngo, J. Schmidhuber. Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback. In Proc. Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI-2013), Beijing, China. HONORS 2013 1. Aug 7, Dallas: JS received the 2013 Helmholtz Award of the International Neural Networks Society. 2. Aug 2, Beijing: AGI 2013 Best Paper Award for B R Steunebrink & J Koutnik & K Thorisson & E Nivel & J. Schmidhuber FIRST PRIZES IN INTERNATIONAL COMPETITIONS 2013 1. Sep 22, Nagoya: Our deep neural networks won the MICCAI 2013 Grand Challenge on Mitosis Detection (D. Ciresan & A. Giusti). 2. Jul 15, Seattle: AAAI 2013 Best Student Video Award for IDSIA's video on roadmap planning for an iCub humanoid robot (M Stollenga & K Frank & J Leitner & L Pape & A Foerster & J Koutnik in the group of JS) SELECTED INVITED TALKS / VIDEOS 2013 Aug 12: CIG 2013 keynote Aug 9: Univ. Guelph, Toronto Aug 7: IJCNN: INNS awards Aug 6: Special Talk for Autonomous Machine Learning, IJCNN 2013 Aug 2: Univ. Austin Jul 31: Salk Institute Jul 30: SRI, San Diego Jul 29: UCI, Irvine Jul 26: Brain Corporation & Qualcomm, San Diego Jul 23: USC, L.A. Jul 22: Las Vegas keynote cancelled Jul 19: Allen Brain Institute Jul 15: AAAI video competition, Seattle Jul 15: AAAI WS RepLearn Mar 15: Transcript (at Kurzweil AI) of TEDx talk (video): In the beginning was the code Mar 1: MPI Workshop, Leipzig (video) TEACHING 2013 WS 2013/2014: Masters Course Intelligent Systems (Machine Learning) SCIENTIFIC SERVICE 2013 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.