output
20162024
most citedAdaptive Conformal Predictions for Time Series

17 citations

5 papers

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.ML202217 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…

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.LO20161 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…