activity
20142020
most citedImproving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)

204 citations · 324 across the 13 of their papers we have counts for

collaborators
Showing 2014Show all

2 papers · 1 filter

cs.LG2014★ 4 cited

Learning nonparametric differential equations with operator-valued kernels and gradient matching

Markus Heinonen, Florence d'Alché-Buc

Modeling dynamical systems with ordinary differential equations implies a mechanistic view of the process underlying the dynamics. However in many cases, this knowledge is not avai…

stat.ME2014★ 26 cited

Parametric Estimation of Ordinary Differential Equations with Orthogonality Conditions

Nicolas J-B Brunel, Quentin Clairon, Florence d'Alche-Buc

Differential equations are commonly used to model dynamical deterministic systems in applications. When statistical parameter estimation is required to calibrate theoretical models…