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Herbert Jaeger
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The “echo state” approach to analysing and training recurrent neural networks-with an erratum note
H Jaeger
Bonn, Germany: German national research center for information technology …, 2001
45832001
Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication
H Jaeger, H Haas
science 304 (5667), 78-80, 2004
41652004
Reservoir computing approaches to recurrent neural network training
M Lukoševičius, H Jaeger
Computer science review 3 (3), 127-149, 2009
32992009
Tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the echo state network approach
H Jaeger
GMD-Forschungszentrum Informationstechnik 5 (1), 2002
15002002
Optimization and applications of echo state networks with leaky-integrator neurons
H Jaeger, M Lukoševičius, D Popovici, U Siewert
Neural networks 20 (3), 335-352, 2007
10792007
Short term memory in echo state networks. gmd-report 152
H Jaeger
GMD-German National Research Institute for Computer Science (2002), 2002
996*2002
Adaptive nonlinear system identification with echo state networks
H Jaeger
Advances in neural information processing systems 15, 2002
8762002
Re-visiting the echo state property
IB Yildiz, H Jaeger, SJ Kiebel
Neural networks 35, 1-9, 2012
5472012
Echo state network
H Jaeger
scholarpedia 2 (9), 2330, 2007
4812007
Reservoir computing trends
M Lukoševičius, H Jaeger, B Schrauwen
KI-Künstliche Intelligenz 26, 365-371, 2012
4732012
Observable operator models for discrete stochastic time series
H Jaeger
Neural computation 12 (6), 1371-1398, 2000
2572000
Echo state property linked to an input: Exploring a fundamental characteristic of recurrent neural networks
G Manjunath, H Jaeger
Neural computation 25 (3), 671-696, 2013
2412013
Special issue on echo state networks and liquid state machines.
H Jaeger, W Maass, J Principe
Elsevier Science, 2007
2192007
Reservoir riddles: suggestions for echo state network research
H Jaeger
Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005
1512005
Controlling recurrent neural networks by conceptors
H Jaeger
arXiv preprint arXiv:1403.3369, 2014
1372014
Dual dynamics: Designing behavior systems for autonomous robots
H Jaeger, T Christaller
Artificial Life and Robotics 2, 108-112, 1998
1331998
Discovering multiscale dynamical features with hierarchical echo state networks
H Jaeger
Jacobs University Bremen, 2007
1312007
Overcoming catastrophic interference using conceptor-aided backpropagation
X He, H Jaeger
International Conference on Learning Representations, 2018
1242018
A neurodynamical model for working memory
R Pascanu, H Jaeger
Neural networks 24 (2), 199-207, 2011
1142011
Long short-term memory in echo state networks: Details of a simulation study
H Jaeger
Jacobs University Bremen, 2012
932012
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