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Paul Novello
Paul Novello
IRT Saint Exupery, ANITI
Adresse e-mail validée de irt-saintexupery.com - Page d'accueil
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Année
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
P Novello, T Fel, D Vigouroux
Advances in Neural Information Processing Systems (Neurips 2022), 2022
172022
Goal-oriented sensitivity analysis of hyperparameters in deep learning
P Novello, G Poëtte, D Lugato, PM Congedo
Journal of Scientific Computing 94 (3), 45, 2023
132023
Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization
FEL Thomas, T Boissin, V Boutin, AM Picard, P Novello, J Colin, D Linsley, ...
Thirty-seventh Conference on Neural Information Processing Systems, 2023
5*2023
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees)
P Novello, G Poëtte, D Lugato, S Peluchon, PM Congedo
Journal of Computational Physics 498, 112700, 2024
42024
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks
L Béthune, P Novello, T Boissin, G Coiffier, M Serrurier, Q Vincenot, ...
International Conference on Machine Learning (ICML 2023), 2023
22023
Leveraging local variation in data: sampling and weighting schemes for supervised deep learning.
P Novello, G Poëtte, D Lugato, PM Congedo
Journal of Machine Learning for Modeling and Computing 3 (1), 2022
2*2022
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning
P Novello, G Poëtte, D Lugato, PM Congedo
arXiv preprint arXiv:2207.06216, 2022
12022
An analogy between solving Partial Differential Equations with Monte-Carlo schemes and the Optimisation process in Machine Learning (and few illustrations of its benefits)
G Poëtte, D Lugato, P Novello
12021
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?)
P Novello, J Dalmau, L Andeol
arXiv preprint arXiv:2403.11532, 2024
2024
Challenges and Solutions for Integrating Neural Networks in Multiphysics CFD Simulations
A Millan, D Lugato, P Novello
2023 Congress in Computer Science, Computer Engineering, & Applied Computing …, 2024
2024
GROOD: GRadient-aware Out-Of-Distribution detection in interpolated manifolds
M ElAraby, S Sahoo, Y Pequignot, P Novello, L Paull
arXiv preprint arXiv:2312.14427, 2023
2023
Combining supervised deep learning and scientific computing: some contributions and application to computational fluid dynamics
P Novello
Ecole Polytechnique, Institut polytechnique de Paris, 2022
2022
A Taylor Based Sampling Scheme for Machine Learning in Computational Physics
P Novello, G Poëtte, D Lugato, P Congedo
NeurIPS Second Workshop on Machine Learning and the Physical Sciences, 2019
2019
Towards instance-dependent approximation guarantees for scientific machine learning using Lipschitz neural networks
P Novello, IRT Saint Exupery
Uncertainty analysis as an ally for deep-learning-based hybridiza-tion of simulation codes
P Novello
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