Charles Guille-Escuret

Publications

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. At Conference on Language Modeling Workshops, 2025.

Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection. Charles Guille-Escuret, Pierre-André Noël, Ioannis Mitliagkas, David Vazquez, João Monteiro. At NeurIPS Datasets and Benchmarks Track (NeurIPS Datasets), 2024.

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning. Charles Guille-Escuret, Pau Rodriguez, David Vazquez, Ioannis Mitliagkas, João Monteiro. At Conference on Neural Information Processing Systems (NeurIPS), 2023.

Contrastive Self-supervision Defines General-Purpose Similarity Functions. Charles Guille-Escuret, Pau Rodriguez, David Vazquez, Ioannis Mitliagkas, João Monteiro. At Workshop at the Neural Information Processing Systems (NeurIPS), 2022.