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20022026
most citedA regression-based Monte Carlo method to solve backward stochastic differential equations

425 citations

Showing 2019Show all

18 papers · 1 filter

math.PR2019

Large fluctuations in multi-scale modeling for rest erythropoiesis

Celine Bonnet, Sylvie Méléard

Erythropoiesis is a mechanism for the production of red blood cells by cellular differentiation. It is based on amplification steps due to an interplay between renewal and differen…

math-ph2019

Creation and annihilation of point-potentials using Moutard-type transform in spectral variable

P. G. Grinevich, R. G. Novikov

We continue to develop the method for creation and annihilation of contour singularities in the --spectral data for the two-dimensional Schrödinger equation at fixed…

physics.flu-dyn2019

Initiation of a validation strategy of reduced-order two-fluid flow models using direct numerical simulations in the context of jet atomization

Pierre Cordesse, A. Murrone, T. Ménard +1

In industrial applications, developing predictive tools relying on numerical simulations using reduced-order models nourish the need of building a validation strategy. In the conte…

math.NA20191 cited

A geometric based preprocessing for weighted ray transforms with applications in SPECT

Fedor Goncharov

In this work we investigate numerically the reconstruction approach proposed in Goncharov, Novikov, 2016, for weighted ray transforms (weighted Radon transforms along oriented stra…

physics.flu-dyn20194 cited

Derivation of a two-phase flow model with two-scale kinematics, geometric variables and surface tension using variational calculus

Pierre Cordesse, Samuel Kokh, Ruben Di Battista +2

The present paper proposes a two-phase flow model that is able to account for two-scale kinematics and two-scale surface tension effects based on geometric variables at small scale…

stat.ML201916 cited

On the Global Convergence of (Fast) Incremental Expectation Maximization Methods

Belhal Karimi, Hoi-To Wai, Eric Moulines +1

The EM algorithm is one of the most popular algorithm for inference in latent data models. The original formulation of the EM algorithm does not scale to large data set, because th…