most citedCombining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model

206 citations

11 papers

math.NA2020★ 48 cited

Uniform-in-time convergence of numerical methods for non-linear degenerate parabolic equations

Jerome Droniou, Robert Eymard

Gradient schemes is a framework that enables the unified convergence analysis of many numerical methods for elliptic and parabolic partial differential equations: conforming and no…

physics.ao-ph2020★ 22 cited

On temporal scale separation in coupled data assimilation with the ensemble Kalman filter

Maxime Tondeur, Alberto Carrassi, Stephane Vannitsem +1

Coupled data assimilation (CDA) distinctively appears as a main concern in numerical weather and climate prediction with major efforts put forward worldwide. The core issue is the…

physics.flu-dyn2020★ 13 cited

Multilayer models for shallow two-phase debris flows with dilatancy effects

José Garres-Díaz, François Bouchut, Enrique D. Fernández-Nieto +2

We present here a multilayer model for shallow grain-fluid mixtures with dilatancy effects. It can be seen as a generalization of the depth-averaged model presented in Bouchut et a…

stat.ML2020★ 206 cited

Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model

Julien Brajard, Alberto Carassi, Marc Bocquet +1

A novel method, based on the combination of data assimilation and machine learning is introduced. The new hybrid approach is designed for a two-fold scope: (i) emulating hidden, po…

cond-mat.soft2019

Optimal cement paste yield stress for the production of stable cement foams

Blandine Feneuil, Nicolas Roussel, Olivier Pitois

Production of morphology-controlled cement foams remains challenging, mainly due to bubble stability issues during cement setting. The use of cement paste with high yield stress is…

eess.IV2019★ 138 cited

Deep Tone Mapping Operator for High Dynamic Range Images

Aakanksha Rana, Praveer Singh, Giuseppe Valenzise +3

A computationally fast tone mapping operator (TMO) that can quickly adapt to a wide spectrum of high dynamic range (HDR) content is quintessential for visualization on varied low d…