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2020 – today
- 2025
[j1]Sara Venturini, Marianna De Santis, Jordan Patracone, Martin Schmidt, Francesco Rinaldi, Saverio Salzo:
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization. Trans. Mach. Learn. Res. 2025 (2025)- [c5]Stéphane Chrétien, Ben Gao, Jordan Patracone, Olivier Alata:
Using Signatures and Koopman Operator to Learn Non-linear Dynamics. GSI (3) 2025: 83-92 - [c4]Abdel-Rahim Mezidi, Jordan Patracone, Saverio Salzo, Amaury Habrard, Massimiliano Pontil, Rémi Emonet, Marc Sebban:
A Bregman Proximal Viewpoint on Neural Operators. ICML 2025 - [i1]Ben Gao, Jordan Patracone, Stéphane Chrétien, Olivier Alata:
Conformal Online Learning of Deep Koopman Linear Embeddings. CoRR abs/2511.12760 (2025) - 2024
- [c3]Benjamin Girault, Rémi Emonet, Amaury Habrard, Jordan Patracone, Marc Sebban:
Approximation Error of Sobolev Regular Functions with Tanh Neural Networks: Theoretical Impact on PINNs. ECML/PKDD (4) 2024: 266-282 - [c2]Jordan Patracone, Paul Viallard, Emilie Morvant, Gilles Gasso, Amaury Habrard, Stéphane Canu
:
A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint. ECML/PKDD (4) 2024: 283-300 - [c1]Jordan Patracone, Lucas Anquetil, Yuan Liu, Gilles Gasso, Stéphane Canu:
Linear Modeling of the Adversarial Noise Space. ECML/PKDD (4) 2024: 301-317
Coauthor Index
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