Publications

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Jaeger, H., "Tutorial on training recurrent neural networks, covering {BPTT}, {RTRL}, {EKF} and the ``echo state network'' approach", GMD Report 159: German National Research Center for Information Technology, pp. 48 pp., 2002.
Jaeger, H., "Echo state network", Scholarpedia, vol. 2, no. 9, pp. 2330, 2007.
Jaeger, H., "Short term memory in echo state networks", GMD Report 152: German National Research Center for Information Technology, 2001.
Jaeger, H., "Adaptive nonlinear system identification with echo state networks", In: Advances in Neural Information Processing Systems: MIT Press, Cambridge, MA, , pp. 593-600, 2003, 2002.
L
Li, J., and H. Jaeger, "Minimal Energy Control of an ESN Pattern Generator", Jacobs University Technical Report, no. 26: Jacobs University Bremen, 2011. Abstract
Lukoševičius, M., and H. Jaeger, "Reservoir computing approaches to recurrent neural network training", Computer Science Review , vol. 3, no. 3, pp. 127-149, August, 2009.
Lukoševičius, M., H. Jaeger, and B. Schrauwen, "Reservoir Computing Trends", KI - Künstliche Intelligenz, pp. 1-7, 05/2012. Abstract  Download: KI_reservoir_computing.pdf (574.71 KB)