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All publications by Jürgen Schmidhuber
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Deep Networks with Internal Selective Attention through Feedback Connections
Marijn F. Stollenga, Jonathan Masci, Faustino Gomez and Jürgen Schmidhuber
Advances in Neural Information Processing Systems 27, 2014


Compete to Compute
Rupesh K. Srivastava, Jonathan Masci, Sohrob Kazerounian, Faustino Gomez and Jürgen Schmidhuber
Advances in Neural Information Processing Systems 26, 2013


Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
Dan Ciresan, Alessandro Giusti, Luca M. Gambardella and Jürgen Schmidhuber
Advances in Neural Information Processing Systems 25, 2012


On the Size of the Online Kernel Sparsification Dictionary
Yi Sun, Jürgen Schmidhuber and Faustino J. Gomez
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Incremental Basis Construction from Temporal Difference Error
Yi Sun, Mark Ring, Jürgen Schmidhuber and Faustino J. Gomez
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices
Yi Sun, Jürgen Schmidhuber and Faustino J. Gomez
Advances in Neural Information Processing Systems 23, 2010


Stochastic search using the natural gradient
Yi Sun, Daan Wierstra, Tom Schaul and Jürgen Schmidhuber
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Accelerated Neural Evolution through Cooperatively Coevolved Synapses
Faustino J. Gomez, Jürgen Schmidhuber and Risto Miikkulainen
Journal of Machine Learning Research, 2008


Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Alex Graves and Jürgen Schmidhuber
Advances in Neural Information Processing Systems 21, 2008


Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks
Alex Graves, Marcus Liwicki, Horst Bunke, Jürgen Schmidhuber and Santiago Fernández
Advances in Neural Information Processing Systems 20, 2007


Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Alex Graves, Santiago Fernández, Faustino J. Gomez and Jürgen Schmidhuber
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Learning Precise Timing with LSTM Recurrent Networks
Felix A. Gers, Nicol N. Schraudolph and Jürgen Schmidhuber
Journal of Machine Learning Research, 2002


Bias-Optimal Incremental Problem Solving
Jürgen Schmidhuber
Advances in Neural Information Processing Systems 15, 2002