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researcher

Quentin Fournier

2 papers here

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2
same name
  • Quentin Fournier — 2 papers
  • Quentin Fournier — 2 papers, h 5
  • Quentin Fournier — 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

most citedEmpirical comparison between autoencoders and traditional dimensionality reduction methods

64 citations · 64 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2021

On Improving Deep Learning Trace Analysis with System Call Arguments

Quentin Fournier, Daniel Aloise, Seyed Vahid Azhari +1

Kernel traces are sequences of low-level events comprising a name and multiple arguments, including a timestamp, a process id, and a return value, depending on the event. Their ana…

cs.LG2021★ 64 cited

Empirical comparison between autoencoders and traditional dimensionality reduction methods

Quentin Fournier, Daniel Aloise

In order to process efficiently ever-higher dimensional data such as images, sentences, or audio recordings, one needs to find a proper way to reduce the dimensionality of such dat…

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