Paul Novello

According to our database, Paul Novello authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees).

Paul Novello, Gaël Poëtte, David Lugato, Simon Peluchon, Pietro Marco Congedo

J. Comput. Phys., February, 2024

Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods.

Paul Novello, Yannick Prudent, Joseba Dalmau, Corentin Friedrich, Yann Pequignot

CoRR, 2024

Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?).

Paul Novello, Joseba Dalmau, Léo Andéol

CoRR, 2024

2023

Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning.

Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo

J. Sci. Comput., February, 2023

GROOD: GRadient-aware Out-Of-Distribution detection in interpolated manifolds.

Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot, Paul Novello, Liam Paull

CoRR, 2023

Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization.

Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Martin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Laurent Gardes, Thomas Serre

CoRR, 2023

Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization.

Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Lore Goetschalckx, Laurent Gardes, Thomas Serre

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks.

Louis Béthune, Paul Novello, Guillaume Coiffier, Thibaut Boissin, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis

Proceedings of the International Conference on Machine Learning, 2023

2022

Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure.

Paul Novello, Thomas Fel, David Vigouroux

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Variance Based Samples Weighting for Supervised Deep Learning.

Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo

CoRR, 2021