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A statistical perspective on learning of time series in neural networks

Nestler, Sandra
2023

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Statistical decomposition of neural networks: Information transfer between correlation functions

Fischer, Kirsten
2022

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Decomposing neural networks as mappings of correlation functions

Fischer, Kirsten
2022

“...Machine Learning (stat.ML) Other...”
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Dimensionality reduction with normalizing flows

Bouss, Peter
2022

“...Data analysis, machine learning, neuroinformatics Other...”
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Statistical decomposition of feed-forward neural networks: Transfer of information between correlation functions

Fischer, Kirsten
2022

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