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stat.ML2024★ 1 cited
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees
Edgar Jaber, Vincent Blot, Nicolas Brunel +6
Gaussian processes (GPs) are a Bayesian machine learning approach widely used to construct surrogate models for the uncertainty quantification of computer simulation codes in indus…
stat.ML2022
Reduced-order modeling for parameterized large-eddy simulations of atmospheric pollutant dispersion
Bastien X Nony, Mélanie Rochoux, Thomas Jaravel +1
Mapping near-field pollutant concentration is essential to track accidental toxic plume dispersion in urban areas. By solving a large part of the turbulence spectrum, large-eddy si…