Rethinking Mean-Field Theory for Neural Networks

Authors

Publication Details

Journal
Physics
Published
2026-06-30
DOI
https://doi.org/10.1103/physics.19.s81
Primary Topic
Machine Learning and ELM
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rethinking Mean-Field Theory for Neural Networks

Ryan Wilkinson
Physics
Machine Learning and ELM
article

Rethinking Mean-Field Theory for Neural Networks

Ryan Wilkinson
article en

Abstract

No abstract available for this paper.
PhysicsVol. 19
Openalex Percentile: Top 8%
Machine Learning and ELM
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Rethinking Mean-Field Theory for Neural Networks — Ryan Wilkinson · Physics (2026) | TGRS Research Map | TGRS