Identifiability in Exact Multilayer Sparse Matrix Factorization. - Léon Zheng; Rémi Gribonval; Elisa Riccietti (CoRR, 2021)

Identifiability in Exact Two-Layer Sparse Matrix Factorization. - Léon Zheng; Rémi Gribonval; Elisa Riccietti (CoRR, 2021)

Fast Learning of Fast Transforms, with Guarantees. - Quoc-Tung Le; Léon Zheng; Elisa Riccietti; Rémi Gribonval (ICASSP, 2022)

Self-supervised learning with rotation-invariant kernels. - Léon Zheng; Gilles Puy; Elisa Riccietti; Patrick Pérez; Rémi Gribonval (ICLR, 2023)

Sparsity in neural networks can increase their privacy. - Antoine Gonon; Léon Zheng; Clément Lalanne; Quoc-Tung Le; Guillaume Lauga; Can Pouliquen (CoRR, 2023)

Butterfly factorization by algorithmic identification of rank-one blocks. - Léon Zheng; Gilles Puy; Elisa Riccietti; Patrick Pérez; Rémi Gribonval (CoRR, 2023)

Efficient Identification of Butterfly Sparse Matrix Factorizations. - Léon Zheng; Elisa Riccietti; Rémi Gribonval (SIAM J. Math. Data Sci., 2023)

Replacing OTN Core Networks with Packet Networks: Demonstration of 100Gb/s OTU4s over 400Gb/s Private Line Emulation (PLE) in Packet Networks. - Mika Silvola; Ravi Singla; Hao Su; Lars Pedersen; Ashwin Gumaste; Walid Wakim; Rajan Rao; Dan Nielsen; Dean Humphreys; Angelito Fortes; Léon Zheng; Apurva Kumar; et al. (GLOBECOM, 2024)

Make Inference Faster: Efficient GPU Memory Management for Butterfly Sparse Matrix Multiplication. - Antoine Gonon; Léon Zheng; Pascal Carrivain; Quoc-Tung Le (CoRR, 2024)

Data frugality and computational efficiency in deep learning. (Frugalité en données et efficacité computationnelle dans l'apprentissage profond). - Léon Zheng (2024)