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Name and Surname Juergen Schmidhuber

Department/School/Unit Dalle Molle Institute for Artificial Intelligence

Email juergen.schmidhuber@supsi.ch

Office Galleria 1 - 228
Via Cantonale, 6928 Manno

Internal telephone number +41586666662

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Article in conference proceedings 25 Elements

Ciresan, D., Giusti, A., Gambardella, L.& Schmidhuber, J. (2013) Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks., pp.411-418. » more details Koutnik, J., Cuccu, G., Schmidhuber, J.& Gomez, F. (2013) Evolving Large-Scale Neural Networks for Vision-Based Reinforcement Learning., pp.1061-1068. ACM. » more details Koutnik, J., Cuccu, G., Schmidhuber, J.& Gomez, F. (2013) Evolving Large-Scale Neural Networks for Vision-Based TORCS., pp.206-212. » more details Leitner, J., Harding, S., Frank, M., Foerster, A.& Schmidhuber, J. (2013) Artificial neural networks for spatial perception: Towards visual object localisation in humanoid robots., pp.1-7. Springer. » more details Ngo Quoc, H., Luciw, M., Vien, N.& Schmidhuber, J. (2013) Upper Confidence Weighted Learning for Efficient Exploration in Multiclass Prediction with Binary Feedback. » more details Srivastava, R., Masci, J., Kazerounian, S., Gomez, F.& Schmidhuber, J. (2013) Compete to compute. In Advances in Neural Information Processing Systems, pp.2310-2318. » more details Steunebrink, B., Koutnik, J., Thórisson, K., Nivel, E.& Schmidhuber, J. (2013) Resource-Bounded Machines are Motivated to be Effective, Efficient, and Curious., pp.119-129. Springer. » more details Stollenga, M., Pape, L., Frank, M., Leitner, J., Foerster, A.& Schmidhuber, J. (2013) Task-Relevant Roadmaps: A Framework for Humanoid Motion Planning. » more details Stollenga, M., Pape, L., Frank, M., Leitner, J., Foerster, A.& Schmidhuber, J. (2013) Task-Relevant Roadmaps: A Framework for Humanoid Motion Planning.. » more details Frank, M., Leitner, J., Stollenga, M., Foerster, A., Schmidhuber, J.& Harding, S. (2012) Modular Behavioral Environment for Humanoids & other Robots (MoBeE)., The. » more details Gisslen, L., Ring, M., Luciw, M.& Schmidhuber, J. (2012) Modular Value Iteration through Regional Decomposition. » more details Harding, S., Graziano, V., Leitner, J.& Schmidhuber, J. (2012) MT-CGP: Mixed Type Cartesian Genetic Programming. » more details Leitner, J., Chandrashekhariah, P., Harding, S., Frank, M., Spina, G., Foerster, A., Triesch, J.& Schmidhuber, J. (2012) Autonomous learning of robust visual object detection and identification on a humanoid., pp.1-6. » more details Leitner, J., Harding, S., Foerster, A.& Schmidhuber, J. (2012) Mars Terrain Image Classification using Cartesian Genetic Programming. » more details Leitner, J., Harding, S., Frank, M., Foerster, A.& Schmidhuber, J. (2012) Towards Spatial Perception: Learning to Locate Objects From Vision., pp.20-23. » more details Leitner, J., Harding, S., Frank, M., Foerster, A.& Schmidhuber, J. (2012) Transferring spatial perception between robots operating in a shared workspace., pp.1507-1512. » more details Leitner, J., Harding, S., Frank, M., Foerster, A.& Schmidhuber, J. (2012) Transferring spatial perception between robots operating in a shared workspace., pp.1507-1512. » more details Luciw, M.& Schmidhuber, J. (2012) Low Complexity Proto-Value Function Learning from Sensory Observations with Incremental Slow Feature Analysis. » more details Ngo Quoc, H., Luciw, M., Foerster, A.& Schmidhuber, J. (2012) Learning Skills from Play: Artificial Curiosity on a Katana Robot Arm. » more details Cuccu, G., Luciw, M., Schmidhuber, J.& Gomez, F. (2011) Intrinsically Motivated Evolutionary Search for Vision-Based Reinforcement Learning. » more details Gisslen, L., Luciw, M., Graziano, V.& Schmidhuber, J. (2011) Sequential Constant Size Compressors for Reinforcement Learning. » more details Kompella, V., Luciw, M.& Schmidhuber, J. (2011) Incremental Slow Feature Analysis. » more details Luciw, M., Graziano, V., Ring, M.& Schmidhuber, J. (2011) Artificial Curiosity with Planning for Autonomous Perceptual and Cognitive Development. » more details Steunebrink, B.& Schmidhuber, J. (2011) Family of Gödel Machine Implementations, A., pp.275-280. » more details Corani, G., Giusti, A., Migliore, D.& Schmidhuber, J. (2010) Robust texture recognition using credal classifiers., pp.781-7810. BMVA Press. » more details

Chapter in book 1 Element

Steunebrink, B.& Schmidhuber, J. 2012. Towards an Actual Gödel Machine Implementation: a Lesson in Self-Reflective Systems. In Theoretical Foundations of Artificial General Intelligence, pp.173-195. Springer. » more details

Report 48 Elements

Schmidhuber, J. (2014) Deep Learning in Neural Networks: An Overview. IDSIA. » more details Giusti, A., Ciresan, D., Masci, J., Gambardella, L.& Schmidhuber, J. (2013) Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks. IDSIA. » more details Ciresan, D., Meier, U.& Schmidhuber, J. (2012) Multi-column Deep Neural Networks for Image Classification. IDSIA. » more details Luciw, M., Kompella, V.& Schmidhuber, J. (2012) Hierarchical Incremental Slow Feature Analysis. IDSIA. » more details Ciresan, D., Meier, U., Gambardella, L.& Schmidhuber, J. (2011) Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs. IDSIA. » more details Ciresan, D., Meier, U., Masci, J., Gambardella, L.& Schmidhuber, J. (2011) High-Performance Neural Networks for Visual Object Classification . IDSIA. » more details Kompella, V., Luciw, M.& Schmidhuber, J. (2011) Incremental Slow Feature Analysis: Adaptive and Episodic Learning from High-Dimensional Input Streams. IDSIA. » more details Schaul, T., Sun, Y., Wierstra, D., Gomez, F.& Schmidhuber, J. (2010) Curiosity-driven Optimization. IDSIA. » more details Gagliolo, M.& Schmidhuber, J. (2008) Algorithm Selection as a Bandit Problem with Unbounded Losses. IDSIA. » more details Wierstra, D., Schaul, T.& Schmidhuber, J. (2008) Natural Evolution Strategies. IDSIA. » more details Gagliolo, M.& Schmidhuber, J. (2007) Learning Dynamic Algorithm Portfolios. IDSIA. » more details Graves, A., Fernandez Lopez, S.& Schmidhuber, J. (2007) Multi-Dimensional Recurrent Neural Networks. IDSIA. » more details Chernov, A.& Schmidhuber, J. (2006) Asymmetric Planning for Incremental Real-Time Heuristic Search. IDSIA. » more details Zhumatiy, V., Gomez, F., Hutter, M.& Schmidhuber, J. (2006) Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. IDSIA. » more details Beringer, N., Graves, A., Schiel, F.& Schmidhuber, J. (2005) Classifying unprompted speech by retraining LSTM Nets.. IDSIA. » more details Chernov, A.& Schmidhuber, J. (2005) On decrease of a priori randomness deficiency.. IDSIA. » more details Chernov, A.& Schmidhuber, J. (2005) Prefix-like Complexities of Finite and Infinite Sequences on Generalized Turing Machines.. IDSIA. » more details Graves, A., Beringer, N.& Schmidhuber, J. (2005) Rapid Retraining on Speech Data with LSTM Recurrent Networks.. IDSIA. » more details Schmidhuber, J., Gagliolo, M., Wierstra, D.& Gomez, F. (2005) Evolino for Recurrent Support Vector Machines.. IDSIA. » more details Gagliolo, M., Zhumatiy, V.& Schmidhuber, J. (2004) Adaptive Online Time Allocation to Search Algorithms.. IDSIA. » more details Gomez, F.& Schmidhuber, J. (2004) Co-Evolving Recurrent Neurons Learn Deep Memory POMDPs.. IDSIA. » more details Graves, A., Eck, D.& Schmidhuber, J. (2003) Comparing LSTM Recurrent Networks with Spiking Recurrent Networks on the Recognition of Spoken Digits.. IDSIA. » more details Schmidhuber, J. (2003) Gödel machines: self-referential universal problem solvers making provably optimal self-improvements.. IDSIA. » more details Schmidhuber, J. (2003) New AI: General & Sound & Relevant for Physics. , The. IDSIA. » more details Eck, D.& Schmidhuber, J. (2002) First Look at Music Composition using LSTM Recurrent Neural Networks., A. IDSIA. » more details Schmidhuber, J. (2002) Optimal Ordered Problem Solver.. IDSIA. » more details Kwee, I., Hutter, M.& Schmidhuber, J. (2001) Gradient-based Reinforcement Planning in Policy-Search Methods . IDSIA. » more details Kwee, I., Hutter, M.& Schmidhuber, J. (2001) Market-Based Reinforcement Learning in Partially Observable Worlds. IDSIA. » more details Gers, F., Eck, D.& Schmidhuber, J. (2000) Applying LSTM to Time Series Predictable Through Time-Window Approaches. IDSIA. » more details Gers, F.& Schmidhuber, J. (2000) Neural Processing of Complex Continual Input Streams . IDSIA. » more details Gers, F.& Schmidhuber, J. (2000) Recurrent Nets that Time and Count . IDSIA. » more details Klapper-Rybicka, M., Schraudolph, N.& Schmidhuber, J. (2000) Unsupervised Recurrent Neural Networks. IDSIA. » more details Kwee, I.& Schmidhuber, J. (2000) Optimal Control Using the Tranport Equation: the Liouville Machine. IDSIA. » more details Schmidhuber, J. (2000) Algorithmic Theories of Everything. IDSIA. » more details Cummins, F., Gers, F.& Schmidhuber, J. (1999) Comparing Prosody Across Many Languages . IDSIA. » more details Gers, F., Schmidhuber, J.& Cummins, F. (1999) Learning to Forget: Continual Prediction with LSTM . IDSIA. » more details Salustowicz, R.& Schmidhuber, J. (1998) H-PIPE: Facilitating Hierarchical Program Evolution through Skip Nodes. IDSIA. » more details Salustowicz, R.& Schmidhuber, J. (1998) Learning to Predict Through Probabilistic Incremental Program Evolution and Automatic Task Decomposition . IDSIA. » more details Schmidhuber, J. (1998) Facial beauty and fractal geometry . IDSIA. » more details Schmidhuber, J.& Zhao, J. (1998) Direct Policy Search and Uncertain Policy Evaluation . IDSIA. » more details Salustowicz, R., Wiering, M.& Schmidhuber, J. (1997) Learning Team Strategies With Multiple Policy-Sharing Agents: A Soccer Case Study . IDSIA. » more details Schmidhuber, J. (1997) What's interesting? . IDSIA. » more details Schmidhuber, J., Zhao, J.& Schraudolph, N. (1997) Reinforcement Learning with Self-Modifying Policies . IDSIA. » more details Schraudolph, N., Eldracher, M.& Schmidhuber, J. (1997) Processing Images by Semi-Linear Predictability Minimization . IDSIA. » more details Schmidhuber, J.& Hochreiter, S. (1996) Guessing can Outperform Many Long Time Lag Algorithms . IDSIA. » more details Schmidhuber, J., Zhao, J.& Wiering, M. (1996) Simple Principles of Metalearning . IDSIA. » more details Wiering, M.& Schmidhuber, J. (1996) HQ-Learning: Discovering Markovian Subgoals for Non-Markovian Reinforcement Learning . IDSIA. » more details Schmidhuber, J. (1995) Environment-Independent Reinforcement Acceleration . IDSIA. » more details

Scientific journal article 8 Elements

Frank, M., Leitner, J., Stollenga, M., Foerster, A.& Schmidhuber, J. (2014) Curiosity driven reinforcement learning for motion planning on humanoids. Frontiers in Neurorobotics, vol. 7 (25). » more details Leitner, J., Harding, S., Chandrashekhariah, P., Frank, M., Foerster, A., Triesch, J.& Schmidhuber, J. (2013) Learning Visual Object Detection and Localisation Using icVision. Biologically Inspired Cognitive Architectures, vol. 5 pp.29-41. » more details Luciw, M., Kompella, V., Kazerounian, S.& Schmidhuber, J. (2013) Intrinsic Value System for Developing Multiple Invariant Representations with Incremental Slowness Learning, An. Frontiers in Neurorobotics, vol. 7 (9). » more details Ngo Quoc, H., Luciw, M., Foerster, A.& Schmidhuber, J. (2013) Confidence-Based Progress-Driven Self-Generated Goals for Skill Acquisition in Developmental Robots. Frontiers in Psychology, vol. 4 (833). » more details Srivastava, R., Steunebrink, B.& Schmidhuber, J. (2013) First experiments with PowerPlay. Neural Networks, vol. 41 pp.130-136. » more details Kompella, V., Luciw, M.& Schmidhuber, J. (2012) Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams. Neural Computation, vol. 22 (11) pp.2994-3024. » more details Leitner, J., Harding, S., Frank, M., Foerster, A.& Schmidhuber, J. (2012) Learning Spatial Object Localization from Vision on a Humanoid Robot. International Journal of Advanced Robotic Systems, vol. 9. » more details Graziano, V., Glasmachers, T., Schaul, T., Pape, L., Cuccu, G., Leitner, J.& Schmidhuber, J. (2011) Artificial Curiosity for Autonomous Space Exploration. Acta Futura pp.41-51. » more details

In charge of the following projects

EVAC » more details NVAIL » more details RNNAIssance » more details Phd programm at IDSIA /google's gift » more details Intuitive Natural Prosthesis UTilization » more details Advanced Reinforcement Learning » more details Adavanced reinforcement learning » more details PROTOTOUCH - Virtural prototyping of tactile displays » more details Supervised Deep / Recurrent Nets » more details Theory and Practice of Reinforcement Learning 2 » more details WAY - Wearable interfaces for hAnd function recoverY » more details NeuralDynamics- A neuro-dynamic framework for... » more details ArcelorMittal » more details Nano-resolved multi-scale investigations of human tactile .... » more details Supervised Recurrent Networks 2 » more details Theory and Practice of Reinforcement Learning » more details Enhancing biomorphic agility through variable stiffness » more details Humanoids that Learn Socio-Communicative Skills by Observation » more details Intrinsically Motivated Cumulative Learning Versatile Robots » more details State representation in reward based learning --from spiking... » more details Teoria e pratica dell'apprendimento con rinforzo » more details Supervised recurrent networks » more details Long Short-Term Memory » more details General search methods/Kolmogorov complexity » more details EU project on anticipatory robots » more details Implementation of Learning Algorithms for Robots » more details General methods for search and reinforcement learning » more details Universal inductive inference and sequential decision theory » more details

 
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