InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification. - Léonard Boussioux; Tomás Giro-Larraz; Charles Guille-Escuret; Mehdi Cherti; Balázs Kégl (CoRR, 2019)

A Study of Condition Numbers for First-Order Optimization. - Charles Guille-Escuret; Manuela Girotti; Baptiste Goujaud; Ioannis Mitliagkas (AISTATS, 2021)

Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound. - Charles Guille-Escuret; Adam Ibrahim; Baptiste Goujaud; Ioannis Mitliagkas (NeurIPS, 2022)

CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning. - Charles Guille-Escuret; Pau Rodríguez; David Vázquez 001; Ioannis Mitliagkas; João Monteiro 002 (CoRR, 2022)

Towards Out-of-Distribution Adversarial Robustness. - Adam Ibrahim; Charles Guille-Escuret; Ioannis Mitliagkas; Irina Rish; David Krueger 001; Pouya Bashivan (CoRR, 2022)

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning. - Charles Guille-Escuret; Pau Rodríguez; David Vázquez 001; Ioannis Mitliagkas; João Monteiro 002 (NeurIPS, 2023)

No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths. - Charles Guille-Escuret; Hiroki Naganuma; Kilian Fatras; Ioannis Mitliagkas (ICML, 2024)

Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection. - Charles Guille-Escuret; Pierre-André Noël; Ioannis Mitliagkas; David Vázquez 001; João Monteiro 002 (NeurIPS, 2024)

Finite Sample Confidence Regions for Linear Regression Parameters Using Arbitrary Predictors. - Charles Guille-Escuret; Eugène Ndiaye (CoRR, 2024)

From Conformal Predictions to Confidence Regions. - Charles Guille-Escuret; Eugène Ndiaye (CoRR, 2024)

Understanding Adam Requires Better Rotation Dependent Assumptions. - Lucas Maes; Tianyue H. Zhang; Alexia Jolicoeur-Martineau; Ioannis Mitliagkas; Damien Scieur; Simon Lacoste-Julien; Charles Guille-Escuret (CoRR, 2024)

Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training. - Oleksiy Ostapenko; Charles Guille-Escuret; Luke Kumar; Max Tian; Denis Kocetkov; Gopeshh Subbaraj; Raymond Li; Joel Lamy-Poirier; Sébastien Paquet; Torsten Scholak (CoRR, 2025)