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Joachim Flocon-Cholet

4 papers hereh-index 5103 citations12 works total

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

author position
  • middle author4

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

fields
  • cs.LG3
  • stat.ML1
same name
  • Joachim Flocon-Cholet — 1 paper, h 0

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
20202023
most citedNovel Class Discovery: an Introduction and Key Concepts

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

collaborators

4 papers

cs.LG2023★ 1 cited

An Interactive Interface for Novel Class Discovery in Tabular Data

Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin +3

Novel Class Discovery (NCD) is the problem of trying to discover novel classes in an unlabeled set, given a labeled set of different but related classes. The majority of NCD method…

cs.LG2023★ 4 cited

Novel Class Discovery: an Introduction and Key Concepts

Colin Troisemaine, Vincent Lemaire, Stéphane Gosselin +3

Novel Class Discovery (NCD) is a growing field where we are given during training a labeled set of known classes and an unlabeled set of different classes that must be discovered.…

cs.LG2022

A Method for Discovering Novel Classes in Tabular Data

Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin +3

In Novel Class Discovery (NCD), the goal is to find new classes in an unlabeled set given a labeled set of known but different classes. While NCD has recently gained attention from…

stat.ML2020

On the Variational Posterior of Dirichlet Process Deep Latent Gaussian Mixture Models

Amine Echraibi, Joachim Flocon-Cholet, Stéphane Gosselin +1

Thanks to the reparameterization trick, deep latent Gaussian models have shown tremendous success recently in learning latent representations. The ability to couple them however wi…

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