Jürgen Schmidhuber

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A possibility for implementing curiosity and boredom in model-building neural controllers

Jürgen Schmidhuber, J. Schmidhuber, 1991 .

Applying LSTM to Time Series Predictable through Time-Window Approaches

Jürgen Schmidhuber, Felix A. Gers, Douglas Eck, 2000, ICANN.

Learning to generate sub-goals for action sequences

Jürgen Schmidhuber, J. Schmidhuber, 1991 .

Evolving Cell Structures for Sequence Learning

Julian Togelius, Jürgen Schmidhuber, Justin Bayer, 2009, ICANN 2009.

Planning simple trajectories using neural subgoal generators

Jürgen Schmidhuber, Reiner Wahnsiedler, J. Schmidhuber, 1993 .

Learning to forget: continual prediction with LSTM

Jürgen Schmidhuber, Fred Cummins, Felix A. Gers, 1999 .

Sequence learning through PIPE and automatic task decomposition

Jürgen Schmidhuber, Rafal Salustowicz, J. Schmidhuber, 1999 .

Applying LSTM to Time Series Predictable Through Time-Window Approaches

Jürgen Schmidhuber, Douglas Eck, Felix A. Gers, 2001, WIRN.

Multidimensional Recurrent Neural Networks

Jürgen Schmidhuber, Alex Graves, Santiago Fernández, 2007 .

Mars terrain image classification using Cartesian genetic programming

Jürgen Leitner, Jürgen Schmidhuber, Alexander Förster, 2012 .

Networks adjusting networks

Jürgen Schmidhuber, J. Schmidhuber, 1990, Forschungsberichte, TU Munich.

LSTM: A Search Space Odyssey

Jürgen Schmidhuber, Klaus Greff, Bas R. Steunebrink, 2015, IEEE Transactions on Neural Networks and Learning Systems.

A ‘Self-Referential’ Weight Matrix

Jürgen Schmidhuber, J. Schmidhuber, 1993 .

LOCOCODE versus PCA and ICA

Jürgen Schmidhuber, Sepp Hochreiter, S. Hochreiter, 1998 .

Using Neural Networks to Predict the Functionality of Reconfigurable Nano-material Networks

Jürgen Schmidhuber, Jan Koutník, Klaus Greff, 2017 .

Learning Context Sensitive Languages with LSTM Trained with Kalman Filters

Jürgen Schmidhuber, Douglas Eck, Juan Antonio Pérez-Ortiz, 2002, ICANN.

Learning Algorithms for Networks with Internal and External Feedback

Jürgen Schmidhuber, J. Schmidhuber, 1990 .

Using sequential adaptive neuro-control for efficient learning of rotation and translation invariance

Jürgen Schmidhuber, Jürgen Schmidhuber, Rudolf M. Huber, 1991 .

Learning visual object detection and localisation using icVision

Jürgen Leitner, Jürgen Schmidhuber, Mikhail Frank, 2013, BICA 2013.

Probabilistic Incremental Program Evolution: Stochastic Search Through Program Space

Jürgen Schmidhuber, Rafal Salustowicz, J. Schmidhuber, 1997, ECML.

Approaches to the Representation of Knowledge

Jürgen Schmidhuber, A. Stolcke, Wilfried Brauer, 1990 .

ALife in humanoids: Developing a framework to employ artificial life techniques for high-level perception and cognition tasks on humanoid robots

Jürgen Leitner, Jürgen Schmidhuber, Mikhail Frank, 2013 .

Continual Prediction using LSTM with Forget Gates

Jürgen Schmidhuber, Fred Cummins, Felix A. Gers, 1999 .

Facial Expression Recognition with Recurrent Neural Networks

Jürgen Schmidhuber, Alex Graves, Bernd Radig, 2008 .

From probabilities to programs with probabilistic incremental program evolution

Jürgen Schmidhuber, Rafal Salustowicz, J. Schmidhuber, 1999 .

Searching for Minimal Neural Networks in Fourier Space

Jürgen Schmidhuber, Jan Koutník, Faustino Gomez, 2010, AGI 2010.

A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots

Jürgen Schmidhuber, Flavio Fontana, Davide Scaramuzza, 2016, IEEE Robotics and Automation Letters.

Learning to generate subgoals for action sequences

Jürgen Schmidhuber, J. Schmidhuber, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

A novel approach to on-line handwriting recognition based on bidirectional long short-term memory networks

Marcus Liwicki, Horst Bunke, Jürgen Schmidhuber, 2007 .

A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients

Jürgen Schmidhuber, José David Martín-Guerrero, Emilio Soria-Olivas, 2009, Expert Syst. Appl..

icVision: A modular vision system for cognitive robotics research

Jürgen Leitner, Jürgen Schmidhuber, Mikhail Frank, 2012 .

"Neural" redundancy reduction for text compression

Jürgen Schmidhuber, 1993 .

Prototype Resilient, Self-Modeling Robots

Jürgen Schmidhuber, J. Schmidhuber, 2007, Science.

Netzwerkarchitekturen, Zielfunktionen und Kettenregel

Jürgen Schmidhuber, Jürgen Schmidhuber, 1993 .

Adaptive history compression for learning to divide and conquer

Jürgen Schmidhuber, J. Schmidhuber, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

R-SQAIR: Relational Sequential Attend, Infer, Repeat pdf

Jürgen Schmidhuber, Aleksandar Stanic, J. Schmidhuber, 2019, ArXiv.

The new AI is general and mathematically rigorous

Jürgen Schmidhuber, J. Schmidhuber, 2010 .

GATED FAST WEIGHTS FOR ASSOCIATIVE RETRIEVAL

Jürgen Schmidhuber, Imanol Schlag, J. Schmidhuber, 2018 .

The Fastest Way of Computing All Universes

Jürgen Schmidhuber, J. Schmidhuber, 2012 .

Evolino: Hybrid Neuroevolution / Optimal Linear Search for Sequence Prediction

Jürgen Schmidhuber, Daan Wierstra, Faustino Gomez, 2005, IJCAI 2005.

Tagger: Deep Unsupervised Perceptual Grouping

Harri Valpola, Jürgen Schmidhuber, Klaus Greff, 2016, NIPS.

Towards Practical Universal Search

Tom Schaul, Jürgen Schmidhuber, 2010, AGI 2010.

Adaptive decomposition of time

Jürgen Schmidhuber, J. Schmidhuber, 1991 .

Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters

Jürgen Schmidhuber, Juan Antonio Pérez-Ortiz, Douglas Eck, 2002, ICANN.

Unsupervised Extraction of Predictable Abstract Features

Jürgen Schmidhuber, D. Prelinger, 1993 .

Neural Predictors for Detecting and Removing Redundant Information

Jürgen Schmidhuber, 2000 .

Model-based reinforcement learning for evolving soccer strategies

Jürgen Schmidhuber, Marco Wiering, R. P. Sałustowicz, 2001 .

Cartesian Genetic Programming for Image Processing

Jürgen Leitner, Jürgen Schmidhuber, Simon Harding, 2013 .

HQ-Learning

Jürgen Schmidhuber, Marco Wiering, J. Schmidhuber, 1997, Adapt. Behav..

Curious model-building control systems

Jürgen Schmidhuber, J. Schmidhuber, J. Schmidhuber, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

A local learning algorithm for dynamic feedforward and recurrent networks

Jürgen Schmidhuber, J. Schmidhuber, 1990, Forschungsberichte, TU Munich.

A neural network model for adaptive online time allocation

Jürgen Schmidhuber, Matteo Gagliolo, 2005 .

Unsupervised Learning in Recurrent Neural Networks

Jürgen Schmidhuber, Nicol N. Schraudolph, Magdalena Klapper-Rybicka, 2001 .

Artificial Scientists & Artists Based on the Formal Theory of Creativity

Jürgen Schmidhuber, J. Schmidhuber, 2010, AGI 2010.

Reinforcement-Lernen und adaptive Steuerung

Jürgen Schmidhuber, Jürgen Schmidhuber, 1990 .

Learning temporary variable binding with dynamic links

Jürgen Schmidhuber, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

Recurrent Neural Network

Jürgen Schmidhuber, Zihang Dai, J. Schmidhuber, 2015 .

Recurrent networks adjusted by adaptive critics

Jürgen Schmidhuber, J. Schmidhuber, 1990 .

Unsupervised learning of low-level audio features for music similarity estimation

Christian Osendorfer, Jürgen Schmidhuber, Patrick van der Smagt, 2011, ICML 2011.

Reinforcement Learning with Interacting Continually Running Fully Recurrent Networks

Jürgen Schmidhuber, J. Schmidhuber, 1990 .

Unsupervised Learning in LSTM Recurrent Neural Networks

Jürgen Schmidhuber, Nicol N. Schraudolph, Magdalena Klapper-Rybicka, 2001, ICANN.

Autonomous reinforcement of behavioral sequences in neural dynamics

Jürgen Schmidhuber, Gregor Schöner, Yulia Sandamirskaya, 2012, The 2013 International Joint Conference on Neural Networks (IJCNN).

A Python Experiment Suite

Jürgen Schmidhuber, Thomas Rückstiess, J. Schmidhuber, 2011 .