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Sandra Nestler

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Books and Theses

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2024
[b1]
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Sandra Nestler:
A statistical perspective on learning of time series in neural networks. RWTH Aachen University, Germany, 2024

Conference and Workshop Papers

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2020
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Sandra Nestler, Christian Keup, David Dahmen, Matthieu Gilson, Holger Rauhut, Moritz Helias:
Unfolding recurrence by Green's functions for optimized reservoir computing. NeurIPS 2020

Informal and Other Publications

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2023
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Sandra Nestler, Moritz Helias, Matthieu Gilson:
Neuronal architecture extracts statistical temporal patterns. CoRR abs/2301.10203 (2023)
2021
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Wiebke Bartolomaeus, Youness Boutaib, Sandra Nestler, Holger Rauhut:
Path classification by stochastic linear recurrent neural networks. CoRR abs/2108.03090 (2021)

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