Zobrazeno 1 - 10
of 4 616
pro vyhledávání: '"A. Lelievre"'
This is a preliminary version. Markov chain Monte Carlo samplers based on discretizations of (overdamped) Langevin dynamics are commonly used in the Bayesian inference and computational statistical physics literature to estimate high-dimensional inte
Externí odkaz:
http://arxiv.org/abs/2410.00525
We consider kinetic SDEs with low regularity coefficients in the setting recently introduced in [6]. For the solutions to such equations, we first prove a Harnack inequality. Using the abstract approach of [5], this inequality then allows us to prove
Externí odkaz:
http://arxiv.org/abs/2410.01042
We study the Fleming--Viot particle system in a discrete state space, in the regime of a fast selection mechanism, namely with killing rates which grow to infinity. This asymptotics creates a time scale separation which results in the formation of a
Externí odkaz:
http://arxiv.org/abs/2407.02054
We consider the problem of sampling a high dimensional multimodal target probability measure. We assume that a good proposal kernel to move only a subset of the degrees of freedoms (also known as collective variables) is known a priori. This proposal
Externí odkaz:
http://arxiv.org/abs/2405.18160
Autor:
Lelièvre, Pierre, Chen, Chien-Chung
Attribution methods are primarily designed to study the distribution of input component contributions to individual model predictions. However, some research applications require a summary of attribution patterns across the entire dataset to facilita
Externí odkaz:
http://arxiv.org/abs/2404.13910
Autor:
Sladkov, A., Fegan, C., Yao, W., Bott, A. F. A., Chen, S. N., Ahmed, H., Filippov, E. D., Lelièvre, R., Martin, P., McIlvenny, A., Waltenspiel, T., Antici, P., Borghesi, M., Pikuz, S., Ciardi, A., d'Humières, E., Soloviev, A., Starodubtsev, M., Fuchs, J.
Interactions between magnetic fields advected by matter play a fundamental role in the Universe at all possible scales. A crucial role these interactions play is in making turbulent fields highly anisotropic, leading to observed ordered fields. These
Externí odkaz:
http://arxiv.org/abs/2404.12110
Overdamped Langevin dynamics are reversible stochastic differential equations which are commonly used to sample probability measures in high-dimensional spaces, such as the ones appearing in computational statistical physics and Bayesian inference. B
Externí odkaz:
http://arxiv.org/abs/2404.12087
We study the narrow escape problem in the disk, which consists in identifying the first exit time and first exit point distribution of a Brownian particle from the ball in dimension 2, with reflecting boundary conditions except on small disjoint wind
Externí odkaz:
http://arxiv.org/abs/2401.06903
Autor:
Higginson, D. P., Lelièvre, R., Vassura, L., Gugiu, M. M., Borghesi, M., Bernstein, L. A., Bleuel, D. L., Goldblum, B. L., Green, A., Hannachi, F., Kar, S., Kisyov, S., Quentin, L., Schroer, M., Tarisien, M., Willi, O., Antici, P., Negoita, F., Allaoua, A., Fuchs, J.
Laser-driven neutron sources are routinely produced by the interaction of laser-accelerated protons with a converter. They present complementary characteristics to those of conventional accelerator-based neutron sources (e.g. short pulse durations, e
Externí odkaz:
http://arxiv.org/abs/2312.14110
Autor:
Taumhas, Yonah Conjungo, Dusson, Geneviève, Ehrlacher, Virginie, Lelièvre, Tony, Madiot, François
In the aim of reducing the computational cost of the resolution of parameter-dependent eigenvalue problems, a model order reduction (MOR) procedure is proposed. We focus on the case of non-self-adjoint generalized eigenvalue problems, such as the sta
Externí odkaz:
http://arxiv.org/abs/2311.13902