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

425 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2022Show all

12 papers · 1 filter

physics.flu-dyn2022★ 59 cited

Particle resuspension: challenges and perspectives for future models

Christophe Henry, Jean-Pierre Minier, Sara Brambilla

The purpose of this review is to analyze the physics at play in particle resuspension in order to bring insights into the rich complexity of this common but challenging concern. Fo…

eess.SY2022★ 2 cited

Subtransmission Grid Control via Online Feedback Optimization

Lukas Ortmann, Jean Maeght, Patrick Panciatici +2

The increasing electric power consumption and the shift towards renewable energy resources demand for new ways to operate transmission and subtransmission grids. Online Feedback Op…

math.ST2022

Off-the-grid prediction and testing for linear combination of translated features

Cristina Butucea, Jean-François Delmas, Anne Dutfoy +1

We consider a model where a signal (discrete or continuous) is observed with an additive Gaussian noise process. The signal is issued from a linear combination of a finite but incr…

stat.ML2022★ 2 cited

Bayesian sequential design of computer experiments for quantile set inversion

Romain Ait Abdelmalek-Lomenech, Julien Bect, Vincent Chabridon +1

We consider an unknown multivariate function representing a system-such as a complex numerical simulator-taking both deterministic and uncertain inputs. Our objective is to estimat…

math.OC2022★ 1 cited

Does 3D frequency-domain FWI of full-azimuth/long-offset OBN data feasible? The Gorgon case study

S. Operto, P. Amestoy, H. S. Aghamiry +13

Frequency-domain Full Waveform Inversion (FWI) is potentially amenable to efficient processing of full-azimuth long-offset stationary-recording seabed acquisition carried out with…

stat.ML2022

Simultaneous off-the-grid learning of mixtures issued from a continuous dictionary

Cristina Butucea, Jean-François Delmas, Anne Dutfoy +1

In this paper we observe a set, possibly a continuum, of signals corrupted by noise. Each signal is a finite mixture of an unknown number of features belonging to a continuous dict…

math.OC2022

A simple city equilibrium model with an application to teleworking

Yves Achdou, Guillaume Carlier, Quentin Petit +1

We propose a simple semi-discrete spatial model where rents, wages and the density of population in a city can be deduced from free-mobility and equilibrium conditions on the labou…

cs.LG2022★ 26 cited

dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification

Paul Boniol, Mohammed Meftah, Emmanuel Remy +1

Data series classification is an important and challenging problem in data science. Explaining the classification decisions by finding the discriminant parts of the input that led…

math.AP2022

A mean field model for the interactions between firms on the markets of their inputs

Yves Achdou, Guillaume Carlier, Quentin Petit +1

We consider an economy made of competing firms which are heterogeneous in their capital and use several inputs for producing goods. Their consumption policy is fixed rationally by…

stat.ML2022★ 3 cited

Off-the-grid learning of mixtures from a continuous dictionary

Cristina Butucea, Jean-François Delmas, Anne Dutfoy +1

We consider a general non-linear model where the signal is a finite mixture of an unknown, possibly increasing, number of features issued from a continuous dictionary parameterized…

stat.ML2022★ 17 cited

Adaptive Conformal Predictions for Time Series

Margaux Zaffran, Aymeric Dieuleveut, Olivier Féron +2

Uncertainty quantification of predictive models is crucial in decision-making problems. Conformal prediction is a general and theoretically sound answer. However, it requires excha…

cond-mat.mtrl-sci2022★ 28 cited

Development of a Plasticity-oriented Interatomic Potential for CrFeMnNi High Entropy Alloys

Ayobami Daramola, Giovanni Bonny, Gilles Adjanor +3

An interatomic potential (termed EAM-21) has been developed with the embedded atomic method (EAM) for CrFeMnNi quaternary HEAs. This potential is based on a previously developed po…