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researcher

Michael Moor

12 papers hereh-index 174.6k citations29 works total

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

author position
  • first author5
  • middle author7

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG10
  • cs.CL1
  • cs.CV1
same name
  • Michael Moor — 5 papers, h 3
  • Michael Moor — 4 papers, h 1
  • Michael Moor — 2 papers, h 2
  • Michael Moor — 2 papers, h 2
  • Michael Moor — 2 papers, h 3
  • Michael Moor — 1 paper

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
20182023
most citedNeural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology

61 citations · 218 across the 11 of their papers we have counts for

collaborators
Showing 2018Show all

1 paper · 1 filter

cs.LG2018★ 61 cited

Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology

Bastian Rieck, Matteo Togninalli, Christian Bock +4

While many approaches to make neural networks more fathomable have been proposed, they are restricted to interrogating the network with input data. Measures for characterizing and…

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