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researcher

Line C. Pouchard

7 papers hereh-index 161k citations87 works total

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

author position
  • first author2
  • middle author4
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.DC4
  • cs.CE1
  • cs.CL1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20072023
most citedA Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows

15 citations · 30 across the 6 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.DC2023

Workflows Community Summit 2022: A Roadmap Revolution

Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala +102

Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex s…

cs.LG2023★ 15 cited

A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows

Line Pouchard, Kristofer G. Reyes, Francis J. Alexander +1

The ability to replicate predictions by machine learning (ML) or artificial intelligence (AI) models and results in scientific workflows that incorporate such ML/AI predictions is…

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