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F. Pachet

16 papers hereh-index 447.5k citations214 works total

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

author position
  • sole author1
  • first author1
  • middle author2
  • last author12

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.SD7
  • cs.AI4
  • cs.CC1
  • cs.CY1
  • cs.IR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedMusic Generation by Deep Learning - Challenges and Directions

159 citations · 361 across the 15 of their papers we have counts for

collaborators
Showing 2016 · cs.AIShow all

3 papers · 2 filters

cs.AI2016★ 125 cited

DeepBach: a Steerable Model for Bach Chorales Generation

Gaëtan Hadjeres, François Pachet, Frank Nielsen

This paper introduces DeepBach, a graphical model aimed at modeling polyphonic music and specifically hymn-like pieces. We claim that, after being trained on the chorale harmonizat…

cs.AI2016★ 3 cited

Maximum entropy models for generation of expressive music

Simon Moulieras, François Pachet

In the context of contemporary monophonic music, expression can be seen as the difference between a musical performance and its symbolic representation, i.e. a musical score. In th…

cs.AI2016★ 15 cited

Style Imitation and Chord Invention in Polyphonic Music with Exponential Families

Gaëtan Hadjeres, Jason Sakellariou, François Pachet

Modeling polyphonic music is a particularly challenging task because of the intricate interplay between melody and harmony. A good model should satisfy three requirements: statisti…

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