Juergen Schmidhuber
Juergen Schmidhuber
The Swiss AI Lab IDSIA / USI & SUPSI
Verified email at idsia.ch - Homepage
TitleCited byYear
Long short-term memory
S Hochreiter, J Schmidhuber
Neural computation 9 (8), 1735-1780, 1997
210541997
Deep learning in neural networks: An overview
J Schmidhuber
Neural networks 61, 85-117, 2015
63172015
Multi-column deep neural networks for image classification
D Cireşan, U Meier, J Schmidhuber
arXiv preprint arXiv:1202.2745, 2012
3252*2012
Learning to forget: Continual prediction with LSTM
FA Gers, J Schmidhuber, F Cummins
IET Digital Library, 1999
19101999
Framewise phoneme classification with bidirectional LSTM and other neural network architectures
A Graves, J Schmidhuber
Neural networks 18 (5-6), 602-610, 2005
15802005
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
A Graves, S Fernández, F Gomez, J Schmidhuber
Proceedings of the 23rd international conference on Machine learning, 369-376, 2006
15012006
LSTM: A search space odyssey
K Greff, RK Srivastava, J Koutník, BR Steunebrink, J Schmidhuber
IEEE transactions on neural networks and learning systems 28 (10), 2222-2232, 2016
14092016
A novel connectionist system for unconstrained handwriting recognition
A Graves, M Liwicki, S Fernández, R Bertolami, H Bunke, J Schmidhuber
IEEE transactions on pattern analysis and machine intelligence 31 (5), 855-868, 2008
12152008
Mitosis detection in breast cancer histology images with deep neural networks
DC Cireşan, A Giusti, LM Gambardella, J Schmidhuber
International Conference on Medical Image Computing and Computer-assisted …, 2013
8942013
Deep neural networks segment neuronal membranes in electron microscopy images
D Ciresan, A Giusti, LM Gambardella, J Schmidhuber
Advances in neural information processing systems, 2843-2851, 2012
8852012
Gradient flow in recurrent nets: the difficulty of learning long-term dependencies
S Hochreiter, Y Bengio, P Frasconi, J Schmidhuber
A field guide to dynamical recurrent neural networks. IEEE Press, 2001
8802001
Flexible, high performance convolutional neural networks for image classification
DC Ciresan, U Meier, J Masci, LM Gambardella, J Schmidhuber
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
8722011
Highway networks
RK Srivastava, K Greff, J Schmidhuber
arXiv preprint arXiv:1505.00387, 2015
8472015
Stacked convolutional auto-encoders for hierarchical feature extraction
J Masci, U Meier, D Cireşan, J Schmidhuber
International Conference on Artificial Neural Networks, 52-59, 2011
8472011
Learning precise timing with LSTM recurrent networks
FA Gers, NN Schraudolph, J Schmidhuber
Journal of machine learning research 3 (Aug), 115-143, 2002
8232002
Deep, big, simple neural nets for handwritten digit recognition
DC Cireşan, U Meier, LM Gambardella, J Schmidhuber
Neural computation 22 (12), 3207-3220, 2010
7852010
Training very deep networks
RK Srivastava, K Greff, J Schmidhuber
Advances in neural information processing systems, 2377-2385, 2015
7462015
Offline handwriting recognition with multidimensional recurrent neural networks
A Graves, J Schmidhuber
Advances in neural information processing systems, 545-552, 2009
7372009
f-gan: Training generative neural samplers using variational divergence minimization
S Nowozin, B Cseke, R Tomioka
Advances in neural information processing systems, 271-279, 2016
606*2016
Modeling attacks on physical unclonable functions
U Rührmair, F Sehnke, J Sölter, G Dror, S Devadas, J Schmidhuber
Proceedings of the 17th ACM conference on Computer and communications …, 2010
5902010
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