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researcher

Pierre Boudier

4 papers hereh-index 4105 citations7 works total

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

author position
  • first author1
  • middle author2
  • last author1

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

fields
  • cs.LG3
  • cs.AI1

identity via Semantic Scholar / OpenAlex

activity
20202024
most citedLatent Space Data Assimilation by using Deep Learning

68 citations · 68 across the 3 of their papers we have counts for

collaborators
Showing 2021 · cs.LGShow all

2 papers · 2 filters

cs.LG2021

A coarse space acceleration of deep-DDM

Valentin Mercier, Serge Gratton, Pierre Boudier

The use of deep learning methods for solving PDEs is a field in full expansion. In particular, Physical Informed Neural Networks, that implement a sampling of the physical domain a…

cs.LG2021★ 68 cited

Latent Space Data Assimilation by using Deep Learning

Mathis Peyron, Anthony Fillion, Selime Gürol +4

Performing Data Assimilation (DA) at a low cost is of prime concern in Earth system modeling, particularly at the time of big data where huge quantities of observations are availab…

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