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Poster (After Call) FZJ-2023-03172
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Residual scaling enables optimal signal propagation in ResNets

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2023

Princeton Machine Learning Theory Summer School, Princeton UniversityPrinceton, Princeton University, USA, 26 Jun 2023 - 30 Jun 20232023-06-262023-06-30

Contributing Institute(s):
  1. Computational and Systems Neuroscience (INM-6)
  2. Theoretical Neuroscience (IAS-6)
  3. Jara-Institut Brain structure-function relationships (INM-10)
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)
  6. neuroIC002 - Recurrence and stochasticity for neuro-inspired computation (EXS-SF-neuroIC002) (EXS-SF-neuroIC002)

Appears in the scientific report 2023
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The record appears in these collections:
Institute Collections > INM > INM-10
Document types > Presentations > Poster
Institute Collections > IAS > IAS-6
Institute Collections > INM > INM-6
Workflow collections > Public records
Publications database
 Record created 2023-08-22, last modified 2024-03-13
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