output
20112025
most citedGlobal Tracking and Quantification of Oil and Gas Methane Emissions from Recurrent Sentinel-2 Imagery

97 citations

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Showing 2019Show all

5 papers · 1 filter

nucl-th2019★ 93 cited

Taming nuclear complexity with a committee of multilayer neural networks

R. -D. Lasseri, D. Regnier, J. -P. Ebran +1

We demonstrate that a committee of deep neural networks is capable of predicting the ground-state and excited energies of more than 1800 atomic nuclei with an accuracy akin to the…

stat.AP2019

A clusterwise supervised learning procedure based on aggregation of distances

Aurélie Fisher, Mathilde Mougeot, Sothea Has

Nowadays, many machine learning procedures are available on the shelve and may be used easily to calibrate predictive models on supervised data. However, when the input data consis…

math.AP2019★ 41 cited

Paralinearization of the Muskat equation and application to the Cauchy problem

Thomas Alazard, Omar Lazar

We paralinearize the Muskat equation to extract an explicit parabolic evolution equation having a compact form. This result is applied to give a simple proof of the local well-pose…

math.AP2019★ 20 cited

Lyapunov functions, Identities and the Cauchy problem for the Hele-Shaw equation

Thomas Alazard, Nicolas Meunier, Didier Smets

This article is devoted to the study of the Hele-Shaw equation. We introduce an approach inspired by the water-wave theory. Starting from a reduction to the boundary, introducing t…

stat.ML2019★ 5 cited

Online A-Optimal Design and Active Linear Regression

Xavier Fontaine, Pierre Perrault, Michal Valko +1

We consider in this paper the problem of optimal experiment design where a decision maker can choose which points to sample to obtain an estimate of the hidden parameter $β…