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Fred Ngolè Mboula

CEA Paris-Saclay

14 papers hereh-index 10565 citations26 works total

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

author position
  • first author1
  • middle author11
  • last author1

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • astro-ph.IM3
  • cs.CV2
  • astro-ph.CO1
  • math.NA1
  • stat.ML1
affiliations
  • CEA Paris-Saclay
same name
  • Fred Ngolè Mboula — 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
20142023
most citedGREAT3 results I: systematic errors in shear estimation and the impact of real galaxy morphology

167 citations · 342 across the 13 of their papers we have counts for

collaborators
Showing 2014Show all

3 papers · 1 filter

astro-ph.CO2014★ 167 cited

GREAT3 results I: systematic errors in shear estimation and the impact of real galaxy morphology

Rachel Mandelbaum, Barnaby Rowe, Robert Armstrong +40

We present first results from the third GRavitational lEnsing Accuracy Testing (GREAT3) challenge, the third in a sequence of challenges for testing methods of inferring weak gravi…

cs.CV2014★ 23 cited

Super-resolution method using sparse regularization for point-spread function recovery

Fred Maurice Ngolè Mboula, Jean-Luc Starck, Samuel Ronayette +2

In large-scale spatial surveys, such as the forthcoming ESA Euclid mission, images may be undersampled due to the optical sensors sizes. Therefore, one may consider using a super-r…

math.NA2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14)

L. Jacques, C. De Vleeschouwer, Y. Boursier +64

The implicit objective of the biennial "international - Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST) is to foster collaboration between interna…

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