[10]
Support Before Frequency in Discrete Diffusion
Adrian Müller, Antoine Gonon, Zebang Shen, Ya-Ping Hsieh, Niao He• arXiv• 2026
[9]
Insights on Muon from Simple Quadratics
Antoine Gonon, Andreea-Alexandra Mușat, Nicolas Boumal• arXiv• 2026
[8]
Gaussian Match-and-Copy: A Minimalist Benchmark for Studying Transformer Induction
Antoine Gonon, Alexandre Cordonnier, Nicolas Boumal• arXiv• 2026
[7]
Non-Vacuous Generalization Bounds: Can Rescaling Invariances Help?
Damien Rouchouse*, Antoine Gonon*, Rémi Gribonval, Benjamin Guedj• arXiv• 2025
[6]
Symmetry-Aware Bayesian Optimization via Max Kernels
Anthony Bardou, Antoine Gonon, Aryan Ahadinia, Patrick Thiran• ICLR 2026
[5]
A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations
Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval• ICML 2025
[4]
Fast Inference with Kronecker-Sparse Matrices
Antoine Gonon*, Léon Zheng*, Pascal Carrivain*, Quoc-Tung Le• ICML 2025
[3]
A Path-Norm Toolkit for Modern Networks: Consequences, Promises and Challenges
Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval• ICLR 2024 (Spotlight)
[2]
Can Sparsity Improve the Privacy of Neural Networks?
Antoine Gonon*, Léon Zheng*, Clément Lalanne, Quoc-Tung Le, Guillaume Lauga, Can Pouliquen• GRETSI 2023
[1]
Approximation speed of quantized vs. unquantized ReLU neural networks and beyond
Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval• IEEE Transactions on Information Theory• 2023