◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

J. Peurifoy

4 papers hereh-index 71.3k citations10 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

activity
20162018
most citedTunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs

89 citations · 116 across the 4 of their papers we have counts for

collaborators
Showing 2016Show all

1 paper · 1 filter

cs.LG2016★ 89 cited

Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs

Li Jing, Yichen Shen, Tena Dubček +5

Using unitary (instead of general) matrices in artificial neural networks (ANNs) is a promising way to solve the gradient explosion/vanishing problem, as well as to enable ANNs to…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.