The criticality problem in nuclear engineering asks for the principal
ei...
We develop a general theoretical and algorithmic framework for sparse
ap...
Most common Optimal Transport (OT) solvers are currently based on an
app...
This paper is concerned with the ubiquitous inverse problem of recoverin...
The aim of this work is to build a reduced-order model for parametrized
...
These lecture notes summarize various summer schools that I have given o...
We develop a mathematical and numerical framework to solve state estimat...
We propose a forecasting method for predicting epidemiological health se...
State estimation aims at approximately reconstructing the solution u to ...
In recent years, deep learning has been connected with optimal control a...
The present contribution deals with the estimation of haemodynamics
Quan...