activity
20132023
most citedShallow Neural Networks for Fluid Flow Reconstruction with Limited Sensors

259 citations · 487 across the 12 of their papers we have counts for

collaborators

13 papers

cs.AI2023

Time and State Dependent Neural Delay Differential Equations

Thibault Monsel, Onofrio Semeraro, Lionel Mathelin +1

Discontinuities and delayed terms are encountered in the governing equations of a large class of problems ranging from physics and engineering to medicine and economics. These syst…

cs.LG2022

Continuous Methods : Adaptively intrusive reduced order model closure

Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi +4

Reduced order modeling methods are often used as a mean to reduce simulation costs in industrial applications. Despite their computational advantages, reduced order models (ROMs) o…

cs.CV2022★ 1 cited

Continuous Methods : Hamiltonian Domain Translation

Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi +2

This paper proposes a novel approach to domain translation. Leveraging established parallels between generative models and dynamical systems, we propose a reformulation of the Cycl…

physics.flu-dyn2022★ 15 cited

CD-ROM: Complemented Deep-Reduced Order Model

Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi +2

Model order reduction through the POD-Galerkin method can lead to dramatic gains in terms of computational efficiency in solving physical problems. However, the applicability of th…

cs.LG2021★ 14 cited

Curriculum learning for data-driven modeling of dynamical systems

Alessandro Bucci, Onofrio Semeraro, Alexandre Allauzen +2

The reliable prediction of the temporal behavior of complex systems is key in numerous scientific fields. This strong interest is however hindered by modeling issues: often, the go…

physics.flu-dyn2020★ 10 cited

Coherent structure identification in turbulent channel flow using Latent Dirichlet Allocation

Mohamed Frihat, Bérengère Podvin, Lionel Mathelin +2

Identification of coherent structures is an essential step to describe and model turbulence generation mechanisms in wall-bounded flows. To this end we present a clustering method…