1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ML2024
Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods
Paul Novello, Yannick Prudent, Joseba Dalmau +2
Since the seminal paper of Hendrycks et al. arXiv:1610.02136, Post-hoc deep Out-of-Distribution (OOD) detection has expanded rapidly. As a result, practitioners working on safety-c…
stat.ML2024★ 1 cited
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?)
Paul Novello, Joseba Dalmau, Léo Andeol
Research on Out-Of-Distribution (OOD) detection focuses mainly on building scores that efficiently distinguish OOD data from In Distribution (ID) data. On the other hand, Conformal…
stat.ML2022
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning
Paul Novello, Gaël Poëtte, David Lugato +1
Tackling new machine learning problems with neural networks always means optimizing numerous hyperparameters that define their structure and strongly impact their performances. In…