output
20162024
most citedWhat's a good imputation to predict with missing values?

22 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.

collaborating institutions

10 papers

math.OC2024

Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling

Alessandro Viani, Boris A Gutman, Emile d'Angremont +1

Modelling the progression of Degenerative Diseases (DD) is essential for detection, prevention, and treatment, yet it remains challenging due to the heterogeneity in disease trajec…

math.AP2024

Towards a computational framework using finite element methods with Arbitrary Lagrangian-Eulerian approach for swimmers with contact

Céline Van Landeghem, Luca Berti, Laëtitia Giraldi +1

Swimming involves a body's capability to navigate through a fluid by undergoing self-deformations. Typically, fluid dynamics are described by the Navier-Stokes equations, and when…

cs.AI2024

Diffeomorphic interpolation for efficient persistence-based topological optimization

Mathieu Carriere, Marc Theveneau, Théo Lacombe

Topological Data Analysis (TDA) provides a pipeline to extract quantitative topological descriptors from structured objects. This enables the definition of topological loss functio…

stat.ME2024

Shared active subspace for multivariate vector-valued functions

Khadija Musayeva, Mickael Binois

This paper proposes several approaches as baselines to compute a shared active subspace for multivariate vector-valued functions. The goal is to minimize the deviation between the…

math.DG2022

Bures-Wasserstein minimizing geodesics between covariance matrices of different ranks

Yann Thanwerdas, Xavier Pennec

The set of covariance matrices equipped with the Bures-Wasserstein distance is the orbit space of the smooth, proper and isometric action of the orthogonal group on the Euclidean s…

cs.LG2022

Benchmarking missing-values approaches for predictive models on health databases

Alexandre Perez-Lebel, Gaël Varoquaux, Marine Le Morvan +2

BACKGROUND: As databases grow larger, it becomes harder to fully control their collection, and they frequently come with missing values: incomplete observations. These large databa…

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…

stat.ML2021★ 22 cited

What's a good imputation to predict with missing values?

Marine Le Morvan, Julie Josse, Erwan Scornet +1

How to learn a good predictor on data with missing values? Most efforts focus on first imputing as well as possible and second learning on the completed data to predict the outcome…

q-bio.QM2020

Computational Logic for Biomedicine and Neurosciences

Elisabetta de Maria, Joelle Despeyroux, Amy Felty +3

We advocate here the use of computational logic for systems biology, as a \emph{unified and safe} framework well suited for both modeling the dynamic behaviour of biological system…

cs.LO2016★ 1 cited

Hybrid and Subexponential Linear Logics Technical Report

Joëlle Despeyroux, Carlos Olarte, Elaine Pimentel

HyLL (Hybrid Linear Logic) and SELL (Subexponential Linear Logic) are logical frameworks that have been extensively used for specifying systems that exhibit modalities such as temp…