Can Pouliquen

According to our database, Can Pouliquen authored at least 4 papers between 2023 and 2025.

Collaborative distances:

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

2025

Differentiable and learning-based methods for structure representation. (Méthodes différentiables et basées sur l'apprentissage pour la représentation de structure).

Can Pouliquen

PhD thesis, 2025

Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure.

Can Pouliquen, Mathurin Massias, Titouan Vayer

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso.

Can Pouliquen, Paulo Gonçalves, Mathurin Massias, Titouan Vayer

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