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Conference Presentation (After Call) FZJ-2024-03603
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Critical feature learning in deep neural networks

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2024

International Conference on Neuromorphic Computing and Engineering, AachenAachen, Germany, 3 Jun 2024 - 6 Jun 20242024-06-032024-06-06

Contributing Institute(s):
  1. Computational and Systems Neuroscience (IAS-6)
Research Program(s):
  1. 5232 - Computational Principles (POF4-523) (POF4-523)
  2. 5234 - Emerging NC Architectures (POF4-523) (POF4-523)
  3. RenormalizedFlows - Transparent Deep Learning with Renormalized Flows (BMBF-01IS19077A) (BMBF-01IS19077A)
  4. MSNN - Theory of multi-scale neuronal networks (HGF-SMHB-2014-2018) (HGF-SMHB-2014-2018)
  5. ACA - Advanced Computing Architectures (SO-092) (SO-092)

Appears in the scientific report 2024
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Document types > Presentations > Conference Presentations
Institute Collections > IAS > IAS-6
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 Record created 2024-06-06, last modified 2024-07-29
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