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researcher

Vincent Lostanlen

4 papers hereh-index 219 citations4 works total

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

author position
  • sole author1
  • first author1
  • middle author1
  • last author1

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

fields
  • cs.SD3
  • cs.LG1
same name
  • Vincent Lostanlen — 12 papers, h 10
  • Vincent Lostanlen — 10 papers, h 11
  • Vincent Lostanlen — 3 papers, h 2
  • Vincent Lostanlen — 3 papers, h 4
  • Vincent Lostanlen — 3 papers, h 2
  • Vincent Lostanlen — 3 papers, 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
20182024
most citedOn Time-frequency Scattering and Computer Music

5 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SD2024

Machine listening in a neonatal intensive care unit

Modan Tailleur, Vincent Lostanlen, Jean-Philippe Rivière +1

Oxygenators, alarm devices, and footsteps are some of the most common sound sources in a hospital. Detecting them has scientific value for environmental psychology but comes with c…

cs.LG2020★ 2 cited

Learning a Lie Algebra from Unlabeled Data Pairs

Christopher Ick, Vincent Lostanlen

Deep convolutional networks (convnets) show a remarkable ability to learn disentangled representations. In recent years, the generalization of deep learning to Lie groups beyond ri…

cs.SD2019★ 3 cited

The Shape of RemiXXXes to Come: Audio Texture Synthesis with Time-frequency Scattering

Vincent Lostanlen, Florian Hecker

This article explains how to apply time--frequency scattering, a convolutional operator extracting modulations in the time--frequency domain at different rates and scales, to the r…

cs.SD2018★ 5 cited

On Time-frequency Scattering and Computer Music

Vincent Lostanlen

Time-frequency scattering is a mathematical transformation of sound waves. Its core purpose is to mimick the way the human auditory system extracts information from its environment…

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