Publications

Modeling and Simulation

A geometrically accurate low-diffusive conservative interface capturing method suitable for multimaterial flows

Florian de Vuyst, Christophe Fochesato, Vincent Mahy, Renaud Motte, Mathieu Peybernes

Computers and Fluids - 2021

Automatic

From Human-Systems Integration to Human-Systems Inclusion for Use-Centred Inclusive Manufacturing Control Systems

The paper discusses about human-systems inclusion as a new way to take into account human factors on systems engineering. This process applies not only principles from human-supported by automation but also those on automation-supported by human to…

Frédéric Vanderhaegen, Julian Nelson, Marion Wolff, Régis Mollard

17th IFAC Symposium on Information Control Problems in Manufacturing - 2021

Microelectronics

Discussion on the principle of coupling and optimization of fiber-to-resonator coupling

In this paper, we discuss the principle of coupling an optical signal to an optical resonator. We give the broad

Patrice Salzenstein, David Hicham Bassir

SPIE Optics + Optoelectronics - Nonlinear Optics and Applications - 2021

Mathematics

New preconditioners for the Laplace and Helmholtz integral equations on open curves: analytical framework and numerical results

Helmholtz wave scattering by open screens in 2D can be formulated as first-kind integral equations which lead to ill-conditioned linear systems after discretization. We introduce two new preconditioners in the form of square-roots of on-curve…

François Alouges, Martin Averseng

Numerische Mathematik - 2021

Analysis of PDEs

A Morawetz Inequality for Gravity-Capillary Water Waves at Low Bond Number

Thomas Alazard, Mihaela Ifrim, Daniel Tataru

Water Waves - 2021

Numerical Analysis

Hypocoercivity of Piecewise Deterministic Markov Process-Monte Carlo

In this paper we derive spectral gap estimates for several Piecewise Deterministic Markov Processes, namely the Randomized Hamiltonian Monte Carlo, the Zig-Zag process and the Bouncy Particle Sampler. The hypocoercivity technique we use, presented…

Christophe Andrieu, Alain Durmus, Nikolas Nüsken, Julien Roussel

The Annals of Applied Probability - 2021

Environmental Sciences

Constrained prediction time random forests using equivalent trees and genetic programming: application to fall detection model embedding

Budgeted learning is a research field of growing interest that aims at including real world resource constraints into the design of machine learning models, for instance to reduce real environment prediction time. One family of method to do so…

Atiq Mounir, Peignier Sergio, Mougeot Mathilde

33rd IEEE International Conference on Tools with Artificial Intelligence - 2021

Spectral Theory

A Spectral Approach of Multi-Scale Metamodelling Applied to Acoustic Propagation

There exists many numerical methods to simulate wave propagation through complex media with a very good precision. However, taking into account the fluctuations of the propagation medium necessitates a statistical approach implying a prohibitive…

Alexandre Goupy

Statistics

Monte Carlo Variational Auto-Encoders

Variational auto-encoders (VAE) are popular deep latent variable models which are trained by maximizing an Evidence Lower Bound (ELBO). To obtain tighter ELBO and hence better variational approximations, it has been proposed to use importance…

Achille Thin, Nikita Kotelevskii, Alain Durmus, Maxim Panov, Eric Moulines, Arnaud Doucet

38th International Conference on Machine Learning - 2021

Analysis of PDEs

Quasilinearization of the 3D Muskat equation, and applications to the critical Cauchy problem

We exhibit a new decomposition of the nonlinearity for the Muskat equation and use it to commute Fourier multipliers with the equation. This allows to study solutions with critical regularity. As a corollary, we obtain the first well-posedness…

Thomas Alazard, Quoc-Hung Nguyen