Edgeworth Expansion for FCNNs (Simulations)

This repository presents the code used to generate the figures presented in the paper (still in preparation) "Optimal Non-Asymptotic Edgeworth Expansions for Multivariate Neural Network Outputs" by Lucia Celli

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-24
DOI
https://doi.org/10.5281/zenodo.19737987
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Edgeworth Expansion for FCNNs (Simulations)

Lucia Celli
Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Applications
article

Edgeworth Expansion for FCNNs (Simulations)

Lucia Celli
article en

Abstract

This repository presents the code used to generate the figures presented in the paper (still in preparation) "Optimal Non-Asymptotic Edgeworth Expansions for Multivariate Neural Network Outputs" by Lucia Celli

Zenodo (CERN European Organization for Nuclear Research)
University of the Basque Country (ES)
Openalex Percentile: Top 3%
Neural Networks and Applications
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.