Jean-François Aujol

activity

20172026

most citedThe basins of attraction of the global minimizers of the non-convex sparse spike estimation problem

28 citations · 71 across the 18 of their papers we have counts for

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Showing 2026Show all

3 papers · 1 filter

cs.LG2026

Layerwise Error Attribution for Fast and Robust Mixed-Precision Post-Training Quantization

Samy Houache, Yann Traonmilin, Jean-François Aujol

Mixed-precision post-training quantization is a network compression method that assigns bits layer by layer, under a global memory budget using a small calibration set. The main di…

math.OC2026

Continuized Nesterov Momentum Achieves the $O (ε^{- 7/4})$ Complexity in Smooth Nonconvex Optimization

Julien Hermant, Jean-François Aujol, Charles Dossal +3

For first-order optimization of non-convex functions with Lipschitz-continuous gradient and Hessian, the best-known complexity for reaching an $ε$ -approximation of a stat…

math.OC2026

Continuized Nesterov Acceleration for Non-Convex Optimization

Julien Hermant, Jean-François Aujol, Charles Dossal +2

In convex optimization, continuous-time counterparts have been a fruitful tool for analyzing momentum algorithms. Fewer such examples are available when the function to minimize is…

Layerwise Error Attribution for Fast and Robust Mixed-Precision Post-Training Quantization

Continuized Nesterov Momentum Achieves the O(ε−7/4) Complexity in Smooth Nonconvex Optimization

Continuized Nesterov Acceleration for Non-Convex Optimization

Continuized Nesterov Momentum Achieves the $O (ε^{- 7/4})$ Complexity in Smooth Nonconvex Optimization