425 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 ScientifiqueFR43 papers
- EDF Energy (United Kingdom)GB24 papers
- CERMICSFR17 papers
- Université Paris-SaclayFR17 papers
- Institut de Mathématiques de ToulouseFR16 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR14 papers
- Institut national de recherche en sciences et technologies du numériqueFR14 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR14 papers
- Université Toulouse III - Paul SabatierFR13 papers
- Centre de Mathématiques Appliquées de l'École polytechniqueFR12 papers
- École PolytechniqueFR12 papers
- Laboratoire de Probabilités et Modèles AléatoiresFR12 papers
17 papers · 1 filter
McKean Feynman-Kac probabilistic representations of non-linear partial differential equations
Lucas Izydorczyk, Nadia Oudjane, Francesco Russo
This paper presents a partial state of the art about the topic of representation of generalized Fokker-Planck Partial Differential Equations (PDEs) by solutions of McKean Feynman-K…
Learning to run a power network challenge for training topology controllers
Antoine Marot, Benjamin Donnot, Camilo Romero +4
For power grid operations, a large body of research focuses on using generation redispatching, load shedding or demand side management flexibilities. However, a less costly and pot…
The dominant mechanisms for the formation of solute-rich clusters in low-Cu steels under irradiation
N. Castin, G. Bonny, A. Bakaev +6
The formation of nano-sized, coherent, solute-rich clusters (NSRC) is known to be an important factor causing the degradation of the macroscopic properties of steels under irradiat…
A Metamodel of the Telemac Errors
Fabrice Zaoui, Cédric Goeury, Yoann Audouin
A Telemac study is a computationally intensive application for the real cases and in the context of quantifying or optimizing uncertainties, the running times can be too long. This…
Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation
Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss +2
In order to leverage the information embedded in the background state and observations, covariance matrices modelling is a pivotal point in data assimilation algorithms. These matr…
LEAP nets for power grid perturbations
Benjamin Donnot, Balthazar Donon, Isabelle Guyon +4
We propose a novel neural network embedding approach to model power transmission grids, in which high voltage lines are disconnected and reconnected with one-another from time to t…
PBDW method for state estimation: error analysis for noisy data and nonlinear formulation
Helin Gong, Yvon Maday, Olga Mula +1
We present an error analysis and further numerical investigations of the Parameterized-Background Data-Weak (PBDW) formulation to variational Data Assimilation (state estimation),…
Exploring CEvNS with NUCLEUS at the Chooz Nuclear Power Plant
G. Angloher, F. Ardellier-Desages, A. Bento +34
Coherent elastic neutrino-nucleus scattering (CENS) offers a unique way to study neutrino properties and to search for new physics beyond the Standard Model. Nuclear reactors ar…
Decision-Oriented Communications: Application to Energy-Efficient Resource Allocation
Hang Zou, Chao Zhang, Samson Lasaulce +2
In this paper, we introduce the problem of decision-oriented communications, that is, the goal of the source is to send the right amount of information in order for the intended de…
Large scale in transit computation of quantiles for ensemble runs
Alejandro Ribes, Théophile Terraz, Bertrand Iooss +2
The classical approach for quantiles computation requires availability of the full sample before ranking it. In uncertainty quantification of numerical simulation models, this appr…
Inside-outside duality with artificial backgrounds
Lorenzo Audibert, Lucas Chesnel, Houssem Haddar
We use the inside-outside duality approach proposed by Kirsch-Lechleiter to identify transmission eigenvalues associated with artificial backgrounds. We prove that for well chosen…
Computer code validation via mixture model estimation
Kaniav Kamary, Merlin Keller, Pierre Barbillon +2
When computer codes are used for modeling complex physical systems, their unknown parameters are tuned by calibration techniques. A discrepancy function may be added to the compute…
Effects of the grain size and shape on the flow stress: A dislocation dynamics study
Maoyuan Jiang, Benoit Devincre, Ghiath Monnet
Dislocation dynamics simulation is used to investigate the effect of grain size and grain shape on the flow stress in model copper grains. We consider grains of 1.25-10 m size,…
Deep backward schemes for high-dimensional nonlinear PDEs
Côme Huré, Huyên Pham, Xavier Warin
We propose new machine learning schemes for solving high dimensional nonlinear partial differential equations (PDEs). Relying on the classical backward stochastic differential equa…
An acoustic-convective splitting-based approach for the Kapila two-phase flow model
M. ten Eikelder, F. Daude, B. Koren +1
In this paper we propose a new acoustic-convective splitting-based numerical scheme for the Kapila five-equation two-phase flow model. The splitting operator decouples the acoustic…
Target Tracking for Contextual Bandits: Application to Demand Side Management
Margaux Brégère, Pierre Gaillard, Yannig Goude +1
We propose a contextual-bandit approach for demand side management by offering price incentives. More precisely, a target mean consumption is set at each round and the mean consump…
Optimal Uncertainty Quantification of a risk measurement from a thermal-hydraulic code using Canonical Moments
Jerome Stenger, Fabrice Gamboa, Merlin Keller +1
We study an industrial computer code related to nuclear safety. A major topic of interest is to assess the uncertainties tainting the results of a computer simulation. In this work…