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2020 – today
- 2024
[j2]Paul Novello
, Gaël Poëtte, David Lugato, Simon Peluchon, Pietro Marco Congedo:
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees). J. Comput. Phys. 498: 112700 (2024)- [i9]Paul Novello, Joseba Dalmau, Léo Andéol:
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?). CoRR abs/2403.11532 (2024) - [i8]Paul Novello, Yannick Prudent, Joseba Dalmau, Corentin Friedrich, Yann Pequignot:
Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods. CoRR abs/2407.07135 (2024) - 2023
- [j1]Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo:
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning. J. Sci. Comput. 94(3): 45 (2023) - [c3]Louis Béthune, Paul Novello, Guillaume Coiffier, Thibaut Boissin, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis:
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks. ICML 2023: 2245-2271 - [c2]Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Lore Goetschalckx, Laurent Gardes, Thomas Serre:
Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization. NeurIPS 2023 - [i7]Louis Béthune, Paul Novello, Thibaut Boissin, Guillaume Coiffier, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis:
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks. CoRR abs/2303.01978 (2023) - [i6]Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Martin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Laurent Gardes, Thomas Serre:
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization. CoRR abs/2306.06805 (2023) - [i5]Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot, Paul Novello, Liam Paull:
GROOD: GRadient-aware Out-Of-Distribution detection in interpolated manifolds. CoRR abs/2312.14427 (2023) - 2022
- [c1]Paul Novello, Thomas Fel, David Vigouroux:
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure. NeurIPS 2022 - [i4]Paul Novello, Thomas Fel, David Vigouroux:
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure. CoRR abs/2206.06219 (2022) - [i3]Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo:
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning. CoRR abs/2207.06216 (2022) - [i2]Paul Novello, Gaël Poëtte, David Lugato, Simon Peluchon, Pietro Marco Congedo:
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees). CoRR abs/2209.13434 (2022) - 2021
- [i1]Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo:
Variance Based Samples Weighting for Supervised Deep Learning. CoRR abs/2101.07561 (2021)
Coauthor Index
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