Paul Novello - RankMe

16 papers A* 3Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A 3D discrepancy modeling framework for urban pollution prediction in accelerated time. Environ. Model. Softw. Mouhcine Mendil, Sylvain Leirens, Paul Novello, Christophe Duchenne, Patrick Armand
2025	J	`jnl`	GROOD: GRadient-Aware Out-of-Distribution Detection. Trans. Mach. Learn. Res. Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot, Paul Novello, Liam Paull
2024	J	`jnl`	Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees). J. Comput. Phys. Paul Novello, Gaël Poëtte, David Lugato, Simon Peluchon, Pietro Marco Congedo
2024	J	`jnl`	Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods. CoRR Paul Novello, Yannick Prudent, Joseba Dalmau, Corentin Friedrich, Yann Pequignot
2024	J	`jnl`	Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?). CoRR Paul Novello, Joseba Dalmau, Léo Andéol
2023	J	`jnl`	GROOD: GRadient-aware Out-Of-Distribution detection in interpolated manifolds. CoRR Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot, Paul Novello, Liam Paull
2023	J	`jnl`	Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning. J. Sci. Comput. Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo
2023	A*	`conf`	Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks. ICML Louis Béthune, Paul Novello, Guillaume Coiffier, Thibaut Boissin, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis
2023	J	`jnl`	Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks. CoRR Louis Béthune, Paul Novello, Thibaut Boissin, Guillaume Coiffier, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis
2023	A*	`conf`	Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization. NeurIPS Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin M. Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Lore Goetschalckx, Laurent Gardes, Thomas Serre
2023	J	`jnl`	Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization. CoRR Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Martin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Laurent Gardes, Thomas Serre
2022	J	`jnl`	Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees). CoRR Paul Novello, Gaël Poëtte, David Lugato, Simon Peluchon, Pietro Marco Congedo
2022	J	`jnl`	Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning. CoRR Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo
2022	A*	`conf`	Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure. NeurIPS Paul Novello, Thomas Fel, David Vigouroux
2022	J	`jnl`	Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure. CoRR Paul Novello, Thomas Fel, David Vigouroux
2021	J	`jnl`	Variance Based Samples Weighting for Supervised Deep Learning. CoRR Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo