SUMMARY OF JUERGEN SCHMIDHUBER'S PROFESSIONAL ACADEMIC ACTIVITIES IN 2014

PUBLICATIONS OF 2014 
    (for pre-2014 and post-2014 articles, PDFs/HTMLs/overviews see http://www.idsia.ch/~juergen/onlinepub.html)

JOURNALS 2014
1. J. Schmidhuber. Deep Learning in Neural Networks: An Overview. Neural Networks, Volume 61, January 2015, Pages 85-117 (DOI: 10.1016/j.neunet.2014.09.003), published online in 2014. 
2. M. Frank, J. Leitner, M. Stollenga, A. Foerster, J. Schmidhuber. Curiosity Driven Reinforcement Learning for Motion Planning on Humanoids. Frontiers in Neurorobotics, 7:25, 2014.
3. H. Ngo, M. Luciw, N. A. Vien, J. Nagi, A. Foerster, J. Schmidhuber. Efficient Interactive Multiclass Learning from Binary Feedback. ACM Transactions on Interactive Intelligent Systems, 2014.      

CONFERENCES 2014 
1. M. Stollenga, J.Masci, F. Gomez, J. Schmidhuber. Deep Networks with Internal Selective Attention through Feedback Connections. Preprint arXiv:1407.3068 [cs.CV]. Advances in Neural Information Processing Systems (NIPS), 2014.
2. J. Koutnik, K. Greff, F. Gomez, J. Schmidhuber. A Clockwork RNN. Proc. 31st International Conference on Machine Learning (ICML), p. 1845-1853, Beijing, 2014. Preprint arXiv:1402.3511 [cs.NE].
3. J. Koutnik, J. Schmidhuber, F. Gomez. Evolving Deep Unsupervised Convolutional Networks for Vision-Based Reinforcement Learning. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Vancouver, CA, 2014.
4. V. R. Kompella, M. Stollenga, M. Luciw, J. Schmidhuber. Explore to See, Learn to Perceive, Get the Actions for Free: SKILLABILITY. Proc. IEEE International Joint Conference on Neural Networks (IJCNN), Beijing, 2014.
5. J. Leitner, A. Foerster, J. Schmidhuber. Improving Robot Vision Models for Object Detection Through Interaction. Proc. IEEE International Joint Conference on Neural Networks (IJCNN), Beijing, 2014.
6. J. Koutnik, J. Schmidhuber, F. Gomez. Online Evolution of Deep Convolutional Networks for Reinforcement Learning. In Proceedings of the Simulation of Adaptive Behavior Conference (SAB), Castellon, Spain, 2014.
7. M. Stollenga, J. Schmidhuber, F. Gomez (2014). Rapid Humanoid Motion Learning through Coordinated, Parallel Evolution. In Proceedings of the Simulation of Adaptive Behavior Conference (SAB), Castellon, Spain, 2014.
8. V. R. Kompella, S. Kazerounian, J. Schmidhuber. An Anti-Hebbian Learning Rule to Represent Drive Motivations for Reinforcement Learning. Proc. International Conference on Simulation of Adaptive Behavior (SAB), Castellon, 2014.
9. E. Nivel, K. R. Thorisson, B. Steunebrink, H. Dindo, G. Pezzulo, M. Rodriguez, C. Hernandez, D. Ognibene, J. Schmidhuber, R. Sanz, H. P. Helgason, A. Chella, G. K. Jonsson. Autonomous Acquisition of Natural Language. Proceedings of IADIS International Conference on Intelligent Systems & Agents Lisbon, Portugal, July 15-17, p 58-66, 2014.
10. E. Nivel, K. R. Thorisson, B. Steunebrink, H. Dindo, G. Pezzulo, M. Rodriguez, C. Hernandez, D. Ognibene, J. Schmidhuber, R. Sanz, H. P. Helgason, A. Chella. Bounded Seed-AGI. In Proceedings of the 7th Conference on Artificial General Intelligence (AGI 2014). Springer, Heidelberg, 2014.
11. J. Leitner, M. Frank, A. Foerster, J. Schmidhuber. Reactive Reaching and Grasping on a Humanoid: Towards Closing the Action-Perception Loop on the iCub. International Conference on Informatics in Control, Automation and Robotics (ICINCO), 2014.
12. J. Leitner, M. Luciw, A. Foerster, J. Schmidhuber. Teleoperation of a 7 DOF Humanoid Robot Arm Using Human Arm Accelerations and EMG Signals. International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS), 2014

PHD THESES SUBMITTED DOCTORAL STUDENTS OF JS IN 2014
1. Jonathan Masci
2. Mikhail 'Kail' Frank
3. Juergen 'Juxi' Leitner
4. Somayeh Danafar
5. Varun Kompella

NEWS ABOUT COMPANIES CO-FOUNDED BY EX-STUDENTS
Google spent over 500m USD on start-up DeepMind co-founded by Shane Legg, a former PhD student in the lab of JS; the 4th DeepMinder (Daan Wierstra) also was his PhD student.

PUBLICATIONS OF LARGE IT COMPANIES USING OUR ALGORITHMS
Google / BAIDU / Microsoft / IBM and others used our RNNs and other NNs to improve speech processing, machine translation, computer vision, etc  

HONORS 2014
Lisbon, 18 July: Best paper award at IADIS 2014, with E Nivel, K Thorisson, B Steunebrink, H Dindo, G Pezzulo, M Rodriguez, C Hernandez, D Ognibene, R Sanz, H Helgason, A Chella, G Jonsson 

SELECTED INVITED TALKS / VIDEOS 2014
Nov 7-9, Brunei: Keynote for INNS-CIIS 2014
Nov 3-6, Malaysia: Plenary talk for ICONIP 2014
Aug 1-19: 12 talks in NY & Bay Area: ML meetup in Empire State Building (videos at youtube, vimeo), Yahoo, SciHampton, Google Palo Alto (youtube), SciFoo @ Googleplex, Stanford Univ, ML meetup San Francisco (vimeo), ICSI (youtube), Univ Berkeley (2 talks, 1 video), IBM Watson
Jun 26, Jeju, Korea: Plenary talk for KAIST 2014
May 23, Frankfurt: Deep Learning for Finance
Mar 19, NYC: McGraw-Hill roundtable on "A.I./Robotics and impact on employability"
Feb 25, 18:00: ETHZ ML meetup - talk video (14 April) and slides
Feb 25, 12:00 ETHZ
Feb 24: Univ. Basel 


TEACHING 2014
WS 2014/2015: Masters Course Intelligent Systems (Machine Learning)

SCIENTIFIC SERVICE 2014
JS reviewed scientific grant proposals and papers, and served on the editorial boards of various journals.