Antoine Chatalic

Efficient and Privacy-Preserving Compressive Learning. (Méthodes efficaces pour l'apprentissage compressif avec garanties de confidentialité)

Antoine Chatalic, 2020 .

Compressive k-Means with Differential Privacy

Florimond Houssiau, Yves-Alexandre de Montjoye, Laurent Jacques, 2019 .

Sketching Datasets for Large-Scale Learning (long version) pdf

Philip Schniter, Laurent Jacques, Nicolas Keriven, 2020, ArXiv.

Large-Scale High-Dimensional Clustering with Fast Sketching

Rémi Gribonval, Nicolas Keriven, Antoine Chatalic, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Compressive Learning with Privacy Guarantees

Florimond Houssiau, Yves-Alexandre de Montjoye, Laurent Jacques, 2020 .

Sketched Clustering via Hybrid Approximate Message Passing

Philip Schniter, Rémi Gribonval, Evan Byrne, 2019, IEEE Transactions on Signal Processing.

Sketching Data Sets for Large-Scale Learning: Keeping only what you need

Laurent Jacques, Philip Schniter, Vincent Schellekens, 2021, IEEE Signal Processing Magazine.