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researcher

L. Abbott

15 papers hereh-index 6630.4k citations161 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author5
  • last author8

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • q-bio.NC7
  • cs.NE3
  • cond-mat.dis-nn2
  • cs.LG1
  • nlin.CD1
  • stat.ML1
same name
  • L. Abbott — 1 paper, h 16
  • L. Abbott — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092023
most citedNeural population geometry: An approach for understanding biological and artificial neural networks

310 citations · 1.3k across the 14 of their papers we have counts for

collaborators
Showing 2014 · cs.NEShow all

1 paper · 2 filters

cs.NE2014★ 69 cited

Random Walk Initialization for Training Very Deep Feedforward Networks

David Sussillo, L. F. Abbott

Training very deep networks is an important open problem in machine learning. One of many difficulties is that the norm of the back-propagated error gradient can grow or decay expo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.