396 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR154 papers
- Paris-Est SupFR126 papers
- École nationale des ponts et chausséesFR92 papers
- CERMICSFR71 papers
- Institut national de recherche en sciences et technologies du numériqueFR64 papers
- Laboratoire d'Informatique Gaspard-MongeFR46 papers
- Laboratoire d’Analyse et de Mathématiques AppliquéesFR44 papers
- Université Paris-Est CréteilFR40 papers
- Université Paris-Est Marne-la-ValléeFR39 papers
- Laboratoire NavierFR33 papers
- Laboratoire Modélisation et Simulation Multi-EchelleFR29 papers
- Université Paris DiderotFR15 papers
277 papers
SGL: Towards a Bridging Model for Heterogeneous Hierarchical Platforms
Chong Li, Gaétan Hains
This paper introduces the Scatter-Gather parallel-programming and parallel-execution model in the form of a simple imperative Scatter-Gather Language (SGL). Its design is based on…
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…
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…
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…
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…
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…
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…
A modified Coulomb's law for the tangential debonding of osseointegrated implants
Katharina Immel, Thang X. Duong, Vu-Hieu Nguyen +2
Cementless implants are widely used in orthopedic and oral surgery. However, debonding-related failure still occurs at the bone-implant interface. It remains difficult to predict s…
An adaptive stabilized conforming finite element method via residual minimization on dual discontinuous Galerkin norms
Victor M. Calo, Alexandre Ern, Ignacio Muga +1
We design and analyze a new adaptive stabilized finite element method. We construct a discrete approximation of the solution in a continuous trial space by minimizing the residual…
Stability of Big Surface Bubbles: Impact of Evaporation and Bubbles Size
Jonas Miguet, Marina Pasquet, Florence Rouyer +2
Surface bubbles have attracted much interest in the past decades. In this article, we propose to explore the lifetime and thinning dynamics of centimetric surface bubbles. We study…
Rejuvenation and Shear-Banding in model amorphous solids
Armand Barbot, Matthias Lerbinger, Anaël Lemaître +2
We measure the local yield stress, at the scale of small atomic regions, in a deeply quenched two-dimensional glass model undergoing shear banding in response to athermal quasistat…
Kinematics and constitutive relations in the stress-gradient theory: interpretation by homogenization
Geralf Hütter, Karam Sab, Samuel Forest
The stress-gradient theory has a third order tensor as kinematic degree of freedom, which is work-conjugate to the stress gradient. This tensor was called micro-displacements just…
Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding
Yigit Ugur, George Arvanitakis, Abdellatif Zaidi
In this paper, we develop an unsupervised generative clustering framework that combines the Variational Information Bottleneck and the Gaussian Mixture Model. Specifically, in our…
Guaranteed and robust -norm a posteriori error estimates for 1D linear advection problems
Alexandre Ern, Martin Vohralík, Mohammad Zakerzadeh
We propose a reconstruction-based a posteriori error estimate for linear advection problems in one space dimension. In our framework, a stable variational ultra-weak formulation is…
Effective resistance of random percolating networks of stick nanowires : functional dependence on elementary physical parameters
Robert Benda, Bérengère Lebental, Eric Cancès
We study by means of Monte-Carlo numerical simulations the resistance of two-dimensional random percolating networks of stick, widthless nanowires. We use the multi-nodal represent…
Gradient Gibbs measures for the SOS model with countable values on a Cayley tree
F. Henning, C. Kuelske, A. Le Ny +1
We consider an SOS (solid-on-solid) model, with spin values from the set of all integers, on a Cayley tree of order k and are interested in translation-invariant gradient Gibbs mea…
An approximate Itô-SDE based simulated annealing algorithm for multivariate design optimization problems
A. Batou
This research concerns design optimization problems involving numerous design parameters and large computational models. These problems generally consist in non-convex constrained…
Generic separating sets for 3D elasticity tensors
Rodrigue Desmorat, Nicolas Auffray, Boris Desmorat +2
We define what is a generic separating set of invariant functions (a.k.a. a weak functional basis) for tensors. We produce then two generic separating sets of polynomial invariants…
The reproducing kernel thesis for lower bounds of weighted composition operators
Isabelle Chalendar, Jonathan R. Partington
It is shown that the property of being bounded below (having closed range) of weighted composition operators on Hardy and Bergman spaces can be tested by their action on a set of s…
On a new class of score functions to estimate tail probabilities of some stochastic processes with Adaptive Multilevel Splitting
Charles-Edouard Bréhier, Tony Lelièvre
We investigate the application of the Adaptive Multilevel Splitting algorithm for the estimation of tail probabilities of solutions of Stochastic Differential Equations evaluated a…
Numerical methods for piecewise deterministic Markov processes with boundary
Ludovic Goudenège
In this paper is described the general aspect of a numerical method for piecewise determin-istic Markov processes with boundary. Under very natural hypotheses, a crucial result abo…
Distributed Hypothesis Testing with Collaborative Detection
Pierre Escamilla, Abdellatif Zaidi, Michèle Wigger
A detection system with a single sensor and two detectors is considered, where each of the terminals observes a memoryless source sequence, the sensor sends a message to both detec…
Bias behaviour and antithetic sampling in mean-field particle approximations of SDEs nonlinear in the sense of McKean
Oumaima Bencheikh, Benjamin Jourdain
In this paper, we prove that the weak error between a stochastic differential equation with nonlinearity in the sense of McKean given by moments and its approximation by the Euler…
Asynchronous exponential growth of the growth-fragmentation equation with unbounded fragmentation rate
Etienne Bernard, Pierre Gabriel
The objective is to prove the asynchronous exponential growth of the growth-fragmentation equation in large weighted spaces and under general assumptions on the coefficients.…