16 citations · 69 across the 27 of their papers we have counts for
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q-bio.GN2022
Neural Networks beyond explainability: Selective inference for sequence motifs
Antoine Villié, Philippe Veber, Yohann de Castro +1
Over the past decade, neural networks have been successful at making predictions from biological sequences, especially in the context of regulatory genomics. As in other fields of…
cs.SI2022★ 1 cited
Random Geometric Graph: Some recent developments and perspectives
Quentin Duchemin, Yohann de Castro
The Random Geometric Graph (RGG) is a random graph model for network data with an underlying spatial representation. Geometry endows RGGs with a rich dependence structure and often…
math.ST2022
SIGLE: a valid procedure for Selective Inference with the Generalized Linear Lasso
Quentin Duchemin, Yohann de Castro
This article investigates uncertainty quantification of the generalized linear lasso~(GLL), a popular variable selection method in high-dimensional regression settings. In many fie…