Yohann de Castro

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 30

Top Topics

Minimization Problems

Super Resolution

Total Variation

Top Venues

IEEE Trans. Inf. Theory

J. Mach. Learn. Res.

Publications

Jean-Marc Azaïs, Federico Dalmao, Yohann de Castro
Second Maximum of a Gaussian Random Field and Exact (t-)Spacing test. CoRR (2024)
Antoine Villié, Philippe Veber, Yohann de Castro, Laurent Jacob
Neural Networks beyond explainability: Selective inference for sequence motifs. Trans. Mach. Learn. Res. 2023 (2023)
Yohann de Castro, Vincent Duval, Romain Petit
Towards Off-the-Grid Algorithms for Total Variation Regularized Inverse Problems. J. Math. Imaging Vis. 65 (1) (2023)
Yohann de Castro, Vincent Duval, Romain Petit
Exact recovery of the support of piecewise constant images via total variation regularization. CoRR (2023)
Quentin Duchemin, Yohann de Castro, Claire Lacour
Three rates of convergence or separation via U-statistics in a dependent framework. J. Mach. Learn. Res. 23 (2022)
Antoine Villié, Philippe Veber, Yohann de Castro, Laurent Jacob
Neural Networks beyond explainability: Selective inference for sequence motifs. CoRR (2022)
Quentin Duchemin, Yohann de Castro
Random Geometric Graph: Some recent developments and perspectives. CoRR (2022)
Yohann de Castro, Vincent Duval, Romain Petit
Towards Off-the-grid Algorithms for Total Variation Regularized Inverse Problems. SSVM (2021)
Yohann de Castro, Luca Mencarelli
Forecasting Nonnegative Time Series via Sliding Mask Method (SMM) and Latent Clustered Forecast (LCF). CoRR (2021)
Yohann de Castro, Fabrice Gamboa, Didier Henrion, Jean-Bernard Lasserre
Dual optimal design and the Christoffel-Darboux polynomial. Optim. Lett. 15 (1) (2021)
Yohann de Castro, Vincent Duval, Romain Petit
Towards Off-the-grid Algorithms for Total Variation Regularized Inverse Problems. CoRR (2021)
Yohann de Castro, Quentin Duchemin
Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks. CoRR (2020)
Jean-Marc Azaïs, Yohann de Castro
Multiple Testing and Variable Selection along Least Angle Regression's path. CoRR (2019)
Yohann de Castro, Sébastien Gadat, Clément Marteau, Cathy Maugis-Rabusseau
Sparse Regularization for Mixture Problems. CoRR (2019)
Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss
On Representer Theorems and Convex Regularization. SIAM J. Optim. 29 (2) (2019)
Ernesto Araya Valdivia, Yohann de Castro
Latent Distance Estimation for Random Geometric Graphs. CoRR (2019)
Jiali Mei, Yohann de Castro, Yannig Goude, Jean-Marc Azaïs, Georges Hébrail
Nonnegative Matrix Factorization with Side Information for Time Series Recovery and Prediction. IEEE Trans. Knowl. Data Eng. 31 (3) (2019)
Ernesto Araya Valdivia, Yohann de Castro
Latent distance estimation for random geometric graphs. NeurIPS (2019)
Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss
On Representer Theorems and Convex Regularization. CoRR (2018)
Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss
Convex Regularization and Representer Theorems. CoRR (2018)
Yohann de Castro, Fabrice Gamboa, Didier Henrion, Roxana Hess, Jean-Bernard Lasserre
Approximate Optimal Designs for Multivariate Polynomial Regression. CoRR (2017)
Yohann de Castro, Fabrice Gamboa, Didier Henrion, Jean B. Lasserre
Exact Solutions to Super Resolution on Semi-Algebraic Domains in Higher Dimensions. IEEE Trans. Inf. Theory 63 (1) (2017)
Yohann de Castro, Elisabeth Gassiat, Sylvain Le Corff
Consistent Estimation of the Filtering and Marginal Smoothing Distributions in Nonparametric Hidden Markov Models. IEEE Trans. Inf. Theory 63 (8) (2017)
Jiali Mei, Yohann de Castro, Yannig Goude, Georges Hébrail
Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates. ICML (2017)
Jean-Marc Azaïs, Yohann de Castro, Stéphane Mourareau
Testing Gaussian Process with Applications to Super-Resolution. CoRR (2017)
Yohann de Castro, Thibault Espinasse, Paul Rochet
Reconstructing Undirected Graphs from Eigenspaces. J. Mach. Learn. Res. 18 (2017)
Yohann de Castro, Thibault Espinasse, Paul Rochet
Reconstructing undirected graphs from eigenspaces. CoRR (2016)
Yohann de Castro, Elisabeth Gassiat, Claire Lacour
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models. J. Mach. Learn. Res. 17 (2016)
Sandrine Dallaporta, Yohann de Castro
Restricted Isometry Constants for Gaussian and Rademacher matrices. CoRR (2016)
Claire Boyer, Yohann de Castro, Joseph Salmon
Adapting to unknown noise level in sparse deconvolution. CoRR (2016)
Yohann de Castro, Fabrice Gamboa, Didier Henrion, Jean B. Lasserre
Exact solutions to Super Resolution on semi-algebraic domains in higher dimensions. CoRR (2015)
Yohann de Castro
Optimal Designs for Lasso and Dantzig Selector Using Expander Codes. IEEE Trans. Inf. Theory 60 (11) (2014)
Yohann de Castro, Fabrice Gamboa
Exact Reconstruction using Support Pursuit CoRR (2011)
Yohann de Castro
A Remark on the Lasso and the Dantzig Selector CoRR (2011)
Yohann de Castro
Optimal designs for Lasso and Dantzig selector using Expander Codes. CoRR (2010)