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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

4 papers

cs.AI2024

Fully-fused Multi-Layer Perceptrons on Intel Data Center GPUs

Kai Yuan, Christoph Bauinger, Xiangyi Zhang +6

This paper presents a SYCL implementation of Multi-Layer Perceptrons (MLPs), which targets and is optimized for the Intel Data Center GPU Max 1550. To increase the performance, our…

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…

cs.LG2020

Data Assimilation Networks

Pierre Boudier, Anthony Fillion, Serge Gratton +2

Data assimilation (DA) aims at forecasting the state of a dynamical system by combining a mathematical representation of the system with noisy observations taking into account thei…

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