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researcher

Richard C. Gerum

York University

10 papers hereh-index 211.1k citations57 works total

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

author position
  • sole author1
  • first author3
  • middle author3

Across the 7 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.NE2
  • q-bio.NC2
  • cs.CV1
  • cs.GR1
  • cs.MS1
affiliations
  • York University
ORCID 0000-0001-5893-2650

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedHow deep is deep enough? -- Quantifying class separability in the hidden layers of deep neural networks

61 citations · 266 across the 10 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2022

Different Spectral Representations in Optimized Artificial Neural Networks and Brains

Richard C. Gerum, Cassidy Pirlot, Alona Fyshe +1

Recent studies suggest that artificial neural networks (ANNs) that match the spectral properties of the mammalian visual cortex -- namely, the ∼1/n eigenspectrum of the covar…

cs.LG2018★ 61 cited

How deep is deep enough? -- Quantifying class separability in the hidden layers of deep neural networks

Achim Schilling, Claus Metzner, Jonas Rietsch +3

Deep neural networks typically outperform more traditional machine learning models in their ability to classify complex data, and yet is not clear how the individual hidden layers…

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