% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Fischer:1044669,
      author       = {Fischer, Kirsten and Dahmen, David and Helias, Moritz},
      title        = {{F}ield {T}heory of {R}esidual {N}etworks: {R}esidual
                      scaling leads to optimal signal propagation},
      reportid     = {FZJ-2025-03318},
      year         = {2025},
      month         = {Jul},
      date          = {2025-07-14},
      organization  = {The 29th International Conference on
                       Statistical Physics, Florence (Italy),
                       14 Jul 2025 - 18 Jul 2025},
      subtyp        = {After Call},
      cin          = {IAS-6},
      cid          = {I:(DE-Juel1)IAS-6-20130828},
      pnm          = {5232 - Computational Principles (POF4-523) / 5234 -
                      Emerging NC Architectures (POF4-523) / MSNN - Theory of
                      multi-scale neuronal networks (HGF-SMHB-2014-2018) /
                      RenormalizedFlows - Transparent Deep Learning with
                      Renormalized Flows (BMBF-01IS19077A) / ACA - Advanced
                      Computing Architectures (SO-092) / neuroIC002 - Recurrence
                      and stochasticity for neuro-inspired computation
                      (EXS-SF-neuroIC002)},
      pid          = {G:(DE-HGF)POF4-5232 / G:(DE-HGF)POF4-5234 /
                      G:(DE-Juel1)HGF-SMHB-2014-2018 /
                      G:(DE-Juel-1)BMBF-01IS19077A / G:(DE-HGF)SO-092 /
                      G:(DE-82)EXS-SF-neuroIC002},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/1044669},
}