Revisiting deep information propagation: Fractal frontier and finite-size effects
- DOI
- 10.1016/j.neunet.2026.109013
- Published
- 2026-10
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109013,
title = {Revisiting deep information propagation: Fractal frontier and finite-size effects},
author = {Giuseppe Alessio D’Inverno and Zhiyuan Hu and Leo Davy and Michael Unser and Gianluigi Rozza and Jonathan Dong},
year = {2026},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2026.109013},
url = {https://doi.org/10.1016/j.neunet.2026.109013}
}RIS
TY - JOUR TI - Revisiting deep information propagation: Fractal frontier and finite-size effects AU - Giuseppe Alessio D’Inverno AU - Zhiyuan Hu AU - Leo Davy AU - Michael Unser AU - Gianluigi Rozza AU - Jonathan Dong PY - 2026 JO - Neural Networks DO - 10.1016/j.neunet.2026.109013 UR - https://doi.org/10.1016/j.neunet.2026.109013 ER -
APA
D’Inverno, G. A., Hu, Z., Davy, L., Unser, M., Rozza, G., & Dong, J. (2026). Revisiting deep information propagation: Fractal frontier and finite-size effects. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109013
Source records
- crossref · retrieved 2026-09-25T14:47:30.064Z