Antoine Gonon

According to our database, Antoine Gonon authored at least 15 papers between 2019 and 2026.

Collaborative distances:

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

2026

Support Before Frequency in Discrete Diffusion.

Adrian Müller, Antoine Gonon, Zebang Shen, Ya-Ping Hsieh, Niao He

CoRR, May, 2026

Insights on Muon from Simple Quadratics.

Antoine Gonon, Andreea-Alexandra Musat, Nicolas Boumal

CoRR, February, 2026

Gaussian Match-and-Copy: A Minimalist Benchmark for Studying Transformer Induction.

Antoine Gonon, Alexandre Cordonnier, Nicolas Boumal

CoRR, February, 2026

2025

Non-Vacuous Generalization Bounds: Can Rescaling Invariances Help?

Damien Rouchouse, Antoine Gonon, Rémi Gribonval, Benjamin Guedj

CoRR, September, 2025

Symmetry-Aware Bayesian Optimization via Max Kernels.

Anthony Bardou, Antoine Gonon, Aryan Ahadinia, Patrick Thiran

CoRR, September, 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

A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations.

Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval

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

2024

Harnessing symmetries for modern deep learning challenges: a path-lifting perspective. (Exploiter les symétries pour relever les défis modernes de l'apprentissage profond: une perspective par le relèvement dans l'espace des chemins).

Antoine Gonon

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

Path-metrics, pruning, and generalization.

Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval

CoRR, 2024

A path-norm toolkit for modern networks: consequences, promises and challenges.

Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Approximation Speed of Quantized Versus Unquantized ReLU Neural Networks and Beyond.

Antoine Gonon, Nicolas Brisebarre, Rémi Gribonval, Elisa Riccietti

IEEE Trans. Inf. Theory, June, 2023

Sparsity in neural networks can increase their privacy.

Antoine Gonon, Léon Zheng, Clément Lalanne, Quoc-Tung Le, Guillaume Lauga, Can Pouliquen

CoRR, 2023

2022

Approximation speed of quantized vs. unquantized ReLU neural networks and beyond.

Antoine Gonon, Nicolas Brisebarre, Rémi Gribonval, Elisa Riccietti

CoRR, 2022

2019

Compressive Learning for Semi-Parametric Models.

Michael P. Sheehan, Antoine Gonon, Mike E. Davies

CoRR, 2019