Antoine Gonon - RankMe

15 papers A* 3Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gaussian Match-and-Copy: A Minimalist Benchmark for Studying Transformer Induction. CoRR Antoine Gonon, Alexandre Cordonnier, Nicolas Boumal
2026	J	`jnl`	Insights on Muon from Simple Quadratics. CoRR Antoine Gonon, Andreea-Alexandra Musat, Nicolas Boumal
2025	A*	`conf`	A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations. ICML Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval
2025	A*	`conf`	Fast Inference with Kronecker-Sparse Matrices. ICML Antoine Gonon, Léon Zheng, Pascal Carrivain, Quoc-Tung Le
2025	J	`jnl`	Non-Vacuous Generalization Bounds: Can Rescaling Invariances Help? CoRR Damien Rouchouse, Antoine Gonon, Rémi Gribonval, Benjamin Guedj
2025	J	`jnl`	Symmetry-Aware Bayesian Optimization via Max Kernels. CoRR Anthony Bardou, Antoine Gonon, Aryan Ahadinia, Patrick Thiran
2024	A*	`conf`	A path-norm toolkit for modern networks: consequences, promises and challenges. ICLR Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval
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
2024	J	`jnl`	Make Inference Faster: Efficient GPU Memory Management for Butterfly Sparse Matrix Multiplication. CoRR Antoine Gonon, Léon Zheng, Pascal Carrivain, Quoc-Tung Le
2024	J	`jnl`	Path-metrics, pruning, and generalization. CoRR Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval
2023	J	`jnl`	A path-norm toolkit for modern networks: consequences, promises and challenges. CoRR Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval
2023	J	`jnl`	Approximation Speed of Quantized Versus Unquantized ReLU Neural Networks and Beyond. IEEE Trans. Inf. Theory Antoine Gonon, Nicolas Brisebarre, Rémi Gribonval, Elisa Riccietti
2023	J	`jnl`	Sparsity in neural networks can increase their privacy. CoRR Antoine Gonon, Léon Zheng, Clément Lalanne, Quoc-Tung Le, Guillaume Lauga, Can Pouliquen
2022	J	`jnl`	Approximation speed of quantized vs. unquantized ReLU neural networks and beyond. CoRR Antoine Gonon, Nicolas Brisebarre, Rémi Gribonval, Elisa Riccietti
2019	J	`jnl`	Compressive Learning for Semi-Parametric Models. CoRR Michael P. Sheehan, Antoine Gonon, Mike E. Davies