Fischer, Kirsten
Journal Article
Learning Interacting Theories from Data
Physical review / X 13(4), 041033 (2023) [10.1103/PhysRevX.13.041033]
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Poster (After Call)
Optimal signal propagation in ResNets through residual scaling
Statistical physics & machine learning back together again, CargeseCargese, France, 31 Jul 2023 - 12 Aug 2023
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Poster (After Call)
Residual scaling enables optimal signal propagation in ResNets
Princeton Machine Learning Theory Summer School, Princeton UniversityPrinceton, Princeton University, USA, 26 Jun 2023 - 30 Jun 2023
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Poster (After Call)
Nonlinear dimensionality reduction with normalizing flows for analysis of electrophysiological recordings
32nd Annual Computational Neuroscience Meeting, CNS 2023, LeipzigLeipzig, Germany, 15 Jul 2023 - 19 Jul 2023
[10.34734/FZJ-2023-02951]
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Poster (After Call)
Information transfer between correlation functions in neural networks
Les Houches Workshop: Towards a theory of artificial and biological neural networks, Les HouchesLes Houches, France, 19 Feb 2023 - 24 Feb 2023
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Poster (After Call)
Oscillating neural activity saves energy via reduced Na+ ion flux
INM-IBI Retreat, JuelichJuelich, Germany, 18 Oct 2022 - 19 Oct 2022
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Journal Article
Decomposing neural networks as mappings of correlation functions
Physical review research 4(4), 043143 (2022) [10.1103/PhysRevResearch.4.043143]
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Poster (After Call)
Statistical decomposition of feed-forward neural networks: Transfer of information between correlation functions
INM IBI Retreat 2022, JuelichJuelich, Germany, 18 Oct 2022 - 19 Oct 2022
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Poster (After Call)
Statistical decomposition of neural networks: Information transfer between correlation functions
Bernstein conference, BerlinBerlin, Germany, 14 Sep 2022 - 16 Sep 2022
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Conference Presentation (Invited)
Tutorials on Formal Mean Fields
EITN fall school, ParisParis, France, 21 Sep 2021 - 21 Sep 2021
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Master Thesis
Decomposition of Deep Neural Networks into Correlation Functions
91 p. (2020) = Masterarbeit, RWTH Aachen University, 2020
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