A Response to the Commentaries on Riches (2026)

I welcome the views of the commentators and am glad that they are likewise enthusiastic about neural network accounts. Nonetheless, I also acknowledge their criticisms, including a lack of attention to processing accounts.

Authors

Institutions

Publication Details

Journal
First Language
Published
2026-03-29
DOI
https://doi.org/10.1177/01427237261434721
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Response to the Commentaries on Riches (2026)

N. G. Riches
First Language
Adversarial Robustness in Machine Learning
article

A Response to the Commentaries on Riches (2026)

N. G. Riches
article en

Abstract

I welcome the views of the commentators and am glad that they are likewise enthusiastic about neural network accounts. Nonetheless, I also acknowledge their criticisms, including a lack of attention to processing accounts.

First Language
Newcastle University (GB)
Decent work and economic growth
Openalex Percentile: Top 2%
Adversarial Robustness in Machine Learning
DOISourceOpenAlex
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.

A Response to the Commentaries on Riches (2026) — N. G. Riches · First Language (2026) | TGRS Research Map | TGRS