De Castro, Yohann

5 publications

TMLR 2023 Neural Networks Beyond Explainability: Selective Inference for Sequence Motifs Antoine Villié, Philippe Veber, Yohann De Castro, Laurent Jacob

JMLR 2022 Three Rates of Convergence or Separation via U-Statistics in a Dependent Framework Quentin Duchemin, Yohann De Castro, Claire Lacour

ICML 2017 Nonnegative Matrix Factorization for Time Series Recovery from a Few Temporal Aggregates Jiali Mei, Yohann De Castro, Yannig Goude, Georges Hébrail

JMLR 2017 Reconstructing Undirected Graphs from Eigenspaces Yohann De Castro, Thibault Espinasse, Paul Rochet

JMLR 2016 Minimax Adaptive Estimation of Nonparametric Hidden Markov Models Yohann De Castro, Élisabeth Gassiat, Claire Lacour