Clément Lalanne

According to our database, Clément Lalanne authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning with Differentially Private (Sliced) Wasserstein Gradients.

David Rodríguez-Vítores, Clément Lalanne, Jean-Michel Loubes

CoRR, February, 2025

2024

Privately Learning Smooth Distributions on the Hypercube by Projections.

Clément Lalanne, Sébastien Gadat

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

On the tradeoffs of statistical learning with privacy. (Sur les compromis liés à l'apprentissage statistique sous contraintes de confidentialité).

Clément Lalanne

PhD thesis, 2023

About the Cost of Central Privacy in Density Estimation.

Clément Lalanne, Aurélien Garivier, Rémi Gribonval

Trans. Mach. Learn. Res., 2023

On the Statistical Complexity of Estimation and Testing under Privacy Constraints.

Clément Lalanne, Aurélien Garivier, Rémi Gribonval

Trans. Mach. Learn. Res., 2023

About the Cost of Global Privacy in Density Estimation.

Clément Lalanne, Aurélien Garivier, Rémi Gribonval

CoRR, 2023

Sparsity in neural networks can increase their privacy.

Antoine Gonon, Léon Zheng, Clément Lalanne, Quoc-Tung Le, Guillaume Lauga, Can Pouliquen

CoRR, 2023

Private Statistical Estimation of Many Quantiles.

Clément Lalanne, Aurélien Garivier, Rémi Gribonval

Proceedings of the International Conference on Machine Learning, 2023

2022

Private Quantiles Estimation in the Presence of Atoms.

Clément Lalanne, Clément Gastaud, Nicolas Grislain, Aurélien Garivier, Rémi Gribonval

CoRR, 2022

2020

Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding.

Clément Lalanne, Maxence Rateaux, Laurent Oudre, Matthieu P. Robert, Thomas Moreau

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020