most citedLeveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification in scientific machine learning

1 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2024

Efficient first-order algorithms for large-scale, non-smooth maximum entropy models with application to wildfire science

Gabriel P. Langlois, Jatan Buch, Jérôme Darbon

Maximum entropy (Maxent) models are a class of statistical models that use the maximum entropy principle to estimate probability distributions from data. Due to the size of modern…