11 citations
- Université Paris-SaclayFR5 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR4 papers
- CEA Paris-SaclayFR3 papers
- CentraleSupélecFR3 papers
- Institut de Recherche sur les Lois Fondamentales de l'UniversFR2 papers
- Laboratoire d'Intégration des Systèmes et des TechnologiesFR2 papers
- SupélecFR2 papers
- Aalto UniversityFI1 paper
- Bouygues (France)FR1 paper
- CEA Paris-Saclay - Etablissement de SaclayFR1 paper
- Centre Inria de SaclayFR1 paper
- Cognitive Neuroimaging LabFR1 paper
Showing 2025 · cs.LGShow all
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cs.LG2025
Training Neural Networks at Any Scale
Thomas Pethick, Kimon Antonakopoulos, Antonio Silveti-Falls +2
This article reviews modern optimization methods for training neural networks with an emphasis on efficiency and scale. We present state-of-the-art optimization algorithms under a…
cs.LG2025
Enhanced Generative Model Evaluation with Clipped Density and Coverage
Nicolas Salvy, Hugues Talbot, Bertrand Thirion
Although generative models have made remarkable progress in recent years, their use in critical applications has been hindered by an inability to reliably evaluate the quality of t…