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20042026
most citedA regression-based Monte Carlo method to solve backward stochastic differential equations

425 citations

Showing 2018Show all

14 papers · 1 filter

stat.AP2018★ 35 cited

Advanced methodology for uncertainty propagation in computer experiments with large number of inputs

Bertrand Iooss, Amandine Marrel

In the framework of the estimation of safety margins in nuclear accident analysis, a quantitative assessment of the uncertainties tainting the results of computer simulations is es…

math.CO2018

Frozen -colourings of bounded degree graphs

Marthe Bonamy, Nicolas Bousquet, Guillem Perarnau

Let be a graph of maximum degree and be an integer. The -recolouring graph of is the graph whose vertices are -colourings of and where two -colourings…

math.ST2018★ 4 cited

Optimal input potential functions in the interacting particle system method

H. Chraibi, A. Dutfoy, T. Galtier +1

The assessment of the probability of a rare event with a naive Monte-Carlo method is computationally intensive, so faster estimation or variance reduction methods are needed. We fo…

physics.comp-ph2018★ 8 cited

Smart energy models for atomistic simulations using a DFT-driven multifidelity approach

Luca Messina, Alessio Quaglino, Alexandra Goryaeva +5

The reliability of atomistic simulations depends on the quality of the underlying energy models providing the source of physical information, for instance for the calculation of mi…

cond-mat.mtrl-sci2018★ 8 cited

Complete characterization of sink-strengths for 1D to 3D mobilities of defect clusters: Bridging between limiting cases with effective sink-strengths calculations

Gilles Adjanor

In a companion paper, we proposed new analytical expressions of cluster sink-strengths (CSS) indispensable to any complete parameterization of rate equations cluster dynamics accou…

cond-mat.mtrl-sci2018★ 5 cited

Complete characterization of sink-strengths for mutually 1D-mobile defect clusters: Extension to diffusion anisotropy analog cases

Gilles Adjanor

Simulating more than seconds of microstructure evolution in systems involving almost athermally or very fast diffusing species such as self-interstitial atom (SIA) clusters current…

physics.app-ph2018★ 32 cited

Slow diffusion and long lifetime in metal halide perovskites for photovoltaics

Adrien Bercegol, F. Javier Ramos, Amelle Rebai +4

Metal halide perovskites feature excellent absorption, emission and charge carrier transport properties. These materials are therefore very well suited for photovoltaics applicatio…

eess.SP2018★ 10 cited

Augmenting DER hosting capacity of distribution grids through local energy markets and dynamic phase switching

José Horta, Daniel Kofman, David Menga +1

The limited capacity of distribution grids for hosting renewable generation is one of the main challenges towards the energy transition. Local energy markets, enabling direct excha…

cs.GT2018★ 9 cited

Nonsmooth Aggregative Games with Coupling Constraints and Infinitely Many Classes of Players

Paulin Jacquot, Cheng Wan

After defining a pure-action profile in a nonatomic aggregative game, where players have specific compact convex pure-action sets and nonsmooth convex cost functions, as a square-i…

physics.soc-ph2018★ 9 cited

Anticipating contingengies in power grids using fast neural net screening

Benjamin Donnot, Isabelle Guyon, Marc Schoenauer +2

We address the problem of maintaining high voltage power transmission networks in security at all time. This requires that power flowing through all lines remain below a certain no…

stat.AP2018★ 2 cited

Detecting and modeling worst-case dependence structures between random inputs of computational reliability models

Nazih Benoumechiara, Bertrand Michel, Philippe Saint-Pierre +1

Uncertain information on input parameters of reliability models is usually modeled by considering these parameters as random, and described by marginal distributions and a dependen…

cs.CE2018★ 26 cited

A Hybrid High-Order method for incremental associative plasticity with small deformations

Mickaël Abbas, Alexandre Ern, Nicolas Pignet

We devise and evaluate numerically a Hybrid High-Order (HHO) method for incremental associative plasticity with small deformations. The HHO method uses as discrete unknowns piecewi…

stat.AP2018

Consistency of the maximum likelihood estimator in seasonal hidden Markov models

Augustin Touron

In this paper, we introduce a variant of hidden Markov models in which the transition probabilities between the states, as well as the emission distributions, are not constant in t…

physics.geo-ph2018

Simulation of the propagation of a cylindrical shear wave : non linear and dissipative modelling

Denis Jeambrun, Yves Moreau, Jean-Louis Costaz +3

The simulation of a wave propagation caused by seismic stimulation allows to study the behaviour of the environment and to evaluate the consequences. The model involves the wave eq…