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20062026
most citedPerceptual Adversarial Networks for Image-to-Image Transformation

396 citations

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35 papers · 1 filter

math.PR2019★ 30 cited

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…

math.PR2018★ 11 cited

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…

math.PR2018

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…

math.PR2018★ 11 cited

Absence of Dobrushin states for long-range Ising models

Loren Coquille, Aernout C. D. van Enter, Arnaud Le Ny +1

We consider the two-dimensional Ising model with long-range pair interactions of the form with , mostly when . We show that Dobrushin sta…

math.PR2017★ 14 cited

Longtime convergence of the Temperature-Accelerated Molecular Dynamics Method

Gabriel Stoltz, Eric Vanden-Eijnden

The equations of the temperature-accelerated molecular dynamics (TAMD) method for the calculations of free energies and partition functions are analyzed. Specifically, the exponent…

math.PR2017★ 5 cited

Equilibrium large deviations for mean-field systems with translation invariance

Julien Reygner

We consider particle systems with mean-field interactions whose distribution is invariant by translations. Under the assumption that the system seen from its centre of mass be reve…

math.PR2016★ 2 cited

Diffusions under a local strong Hörmander condition. Part I: density estimates

Vlad Bally, Lucia Caramellino, Paolo Pigato

We study lower and upper bounds for the density of a diffusion process in in a small (but not asymptotic) time, say . We assume that the diffusion coefficients…

math.PR2016★ 45 cited

Jump Markov models and transition state theory: the Quasi-Stationary Distribution approach

Giacomo Di Gesù, Tony Lelièvre, Dorian Le Peutrec +1

We are interested in the connection between a metastable continuous state space Markov process (satisfying e.g. the Langevin or overdamped Langevin equation) and a jump Markov proc…

math.PR2016★ 110 cited

Data-driven probability concentration and sampling on manifold

Christian Soize, Roger Ghanem

A new methodology is proposed for generating realizations of a random vector with values in a finite-dimensional Euclidean space that are statistically consistent with a data set o…

math.PR2016

On the expectation of operator norms of random matrices

Olivier Guédon, Aicke Hinrichs, Alexander E. Litvak +1

We prove estimates for the expected value of operator norms of Gaussian random matrices with independent and mean-zero entries, acting as operators from to $\ell_q^n…

math.PR2016★ 1 cited

Asymptotics for the normalized error of the Ninomiya-Victoir scheme

Anis Al Gerbi, Benjamin Jourdain, Emmanuelle Clément

In a previous work, we proved strong convergence with order of the Ninomiya-Victoir scheme with time step to the solution of the limiting SDE. In this pa…

math.PR2015★ 11 cited

A Survey on the Eigenvalues Local Behavior of Large Complex Correlated Wishart Matrices

Walid Hachem, Adrien Hardy, Jamal Najim

The aim of this note is to provide a pedagogical survey of the recent works by the authors ( arXiv:1409.7548 and arXiv:1507.06013) concerning the local behavior of the eigenvalues…

math.PR2015★ 11 cited

Bernstein type inequality for a class of dependent random matrices

Marwa Banna, Florence Merlevède, Pierre Youssef

In this paper we obtain a Bernstein type inequality for the sum of self-adjoint centered and geometrically absolutely regular random matrices with bounded largest eigenvalue. This…

math.PR2015★ 4 cited

Central Limit Theorem for Adaptative Multilevel Splitting Estimators in an Idealized Setting

Charles-Edouard Bréhier, Ludovic Goudenège, Loic Tudela

The Adaptive Multilevel Splitting algorithm is a very powerful and versatile iterative method to estimate the probability of rare events, based on an interacting particle systems.…

math.PR2014★ 1 cited

Small ball estimates for quasi-norms

Omer Friedland, Ohad Giladi, Olivier Guédon

This note contains two types of small ball estimates for random vectors in finite dimensional spaces equipped with a quasi-norm. In the first part, we obtain bounds for the small b…

math.PR2014

Asymptotic development for the CLT in total variation distance

Vlad Bally, Lucia Caramellino

The aim of this paper is to study the asymptotic expansion in total variation in the Central Limit Theorem when the law of the basic random variable is locally lower-bounded by the…

math.PR2013★ 3 cited

Generalized Dynkin Games and Doubly Reflected BSDEs with Jumps

Roxana Dumitrescu, Marie-Claire Quenez, Agnès Sulem

We introduce a generalized Dynkin game problem with non linear conditional expectation induced by a Backward Stochastic Differential Equation (BSDE) with jumps. Let $ξ,…

math.PR2012★ 41 cited

Propagation of chaos for rank-based interacting diffusions and long time behaviour of a scalar quasilinear parabolic equation

Benjamin Jourdain, Julien Reygner

We study a quasilinear parabolic Cauchy problem with a cumulative distribution function on the real line as an initial condition. We call 'probabilistic solution' a weak solution w…

math.PR2012★ 28 cited

Pathwise optimal transport bounds between a one-dimensional diffusion and its Euler scheme

A. Alfonsi, B. Jourdain, A. Kohatsu-Higa

In the present paper, we prove that the Wasserstein distance on the space of continuous sample-paths equipped with the supremum norm between the laws of a uniformly elliptic one-di…

math.PR2012★ 25 cited

A short proof of Paouris' inequality

Radosław Adamczak, Rafał Latała, Alexander E. Litvak +3

We give a short proof of a result of G. Paouris on the tail behaviour of the Euclidean norm of an isotropic log-concave random vector , stating that for every $t\ge…

math.PR2011★ 32 cited

Smoothness and asymptotic estimates of densities for SDEs with locally smooth coefficients and applications to square root-type diffusions

Stefano De Marco

We study smoothness of densities for the solutions of SDEs whose coefficients are smooth and nondegenerate only on an open domain . We prove that a smooth density exists on …

math.PR2011

A Mean-Reverting SDE on Correlation matrices

Abdelkoddousse Ahdida, Aurélien Alfonsi

We introduce a mean-reverting SDE whose solution is naturally defined on the space of correlation matrices. This SDE can be seen as an extension of the well-known Wright-Fisher dif…

math.PR2011★ 14 cited

Tail estimates for norms of sums of log-concave random vectors

Radosław Adamczak, Rafał Latała, Alexander E. Litvak +2

We establish new tail estimates for order statistics and for the Euclidean norms of projections of an isotropic log-concave random vector. More generally, we prove tail estimates f…

math.PR2011★ 4 cited

Chevet type inequality and norms of submatrices

Radosław Adamczak, Rafał Latała, Alexander E. Litvak +2

We prove a Chevet type inequality which gives an upper bound for the norm of an isotropic log-concave unconditional random matrix in terms of expectation of the supremum of "symmet…