@article{huber2020evolution,
title = {Data-driven evolutions of critical points},
journal = {Foundations of Data Science},
volume = {2},
number = {3},
pages = {207-255}
year = {2020},
doi = {10.3934/fods.2020011},
url = {https://www.aimsciences.org/article/id/6be9726c-dd75-4053-a5db-d4184087aa77},
author = {Stefano Almi and Massimo Fornasier and Richard Huber},
keywords = {Energy learning, data assimilation, quasi-static evolutions of critical points, mean-field limit, variational calculus, probability measure transport}
}