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Transparent Deep Learning with Renormalized Flows
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GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration
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Transparent Deep Learning with Renormalized Flows
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GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration
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Optimal signal propagation in ResNets through residual scaling
Fischer, Kirsten
2023
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A statistical perspective on learning of time series in neural networks
Nestler, Sandra
2023
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Phase Space Analysis of Chaotic Neural Networks
Stubenrauch, Jakob
2022
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Statistical decomposition of neural networks: Information transfer between correlation functions
Fischer, Kirsten
2022
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Preprint
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Helias, Moritz
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Dahmen, David
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Fischer, Kirsten
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Keup, Christian
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Rene, Alexandre
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Boutaib, Youness
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Gilson, Matthieu
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Kurth, Anno
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Layer, Moritz
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Merger, Claudia Lioba
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Advanced Computing Architectures
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GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration
Transparent Deep Learning with Renormalized Flows
Computational Principles
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Emerging NC Architectures
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Recurrence and stochasticity for neuro-inspired computation
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Theory of multi-scale neuronal networks
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Human Brain Project Specific Grant Agreement 3
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Towards an integrated data science of complex natural systems
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Computational and Systems Neuroscience; IAS-6
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Computational and Systems Neuroscience; INM-6
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Jara-Institut Brain structure-function relationships; INM-10
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