Léon Zheng

According to our database, Léon Zheng authored at least 14 papers between 2021 and 2026.

Collaborative distances:

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

2026

Rapture of the Deep: Highs and lows of sparsity in a world of depths.

Rémi Gribonval, Elisa Riccietti, Quoc-Tung Le, Léon Zheng

IEEE Signal Process. Mag., March, 2026

Fast and Robust Likelihood-Guided Diffusion Posterior Sampling with Amortized Variational Inference.

Léon Zheng, Thomas Hirtz, Yazid Janati, Eric Moulines

CoRR, February, 2026

2025

Butterfly Factorization with Error Guarantees.

Quoc-Tung Le, Léon Zheng, Elisa Riccietti, Rémi Gribonval

SIAM J. Matrix Anal. Appl., 2025

Fast Inference with Kronecker-Sparse Matrices.

Antoine Gonon, Léon Zheng, Pascal Carrivain, Quoc-Tung Le

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

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

Léon Zheng

PhD thesis, 2024

Make Inference Faster: Efficient GPU Memory Management for Butterfly Sparse Matrix Multiplication.

Antoine Gonon, Léon Zheng, Pascal Carrivain, Quoc-Tung Le

CoRR, 2024

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, Chuck Tato

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023

Efficient Identification of Butterfly Sparse Matrix Factorizations.

Léon Zheng, Elisa Riccietti, Rémi Gribonval

SIAM J. Math. Data Sci., March, 2023

Butterfly factorization by algorithmic identification of rank-one blocks.

Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, 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

Self-supervised learning with rotation-invariant kernels.

Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Fast Learning of Fast Transforms, with Guarantees.

Quoc-Tung Le, Léon Zheng, Elisa Riccietti, Rémi Gribonval

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Identifiability in Exact Two-Layer Sparse Matrix Factorization.

Léon Zheng, Rémi Gribonval, Elisa Riccietti

CoRR, 2021

Identifiability in Exact Multilayer Sparse Matrix Factorization.

Léon Zheng, Rémi Gribonval, Elisa Riccietti

CoRR, 2021