Jordan Patracone

According to our database, Jordan Patracone authored at least 7 papers between 2024 and 2025.

Collaborative distances:

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

2025

Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization.

Sara Venturini, Marianna De Santis, Jordan Patracone, Martin Schmidt, Francesco Rinaldi, Saverio Salzo

Trans. Mach. Learn. Res., 2025

Conformal Online Learning of Deep Koopman Linear Embeddings.

Ben Gao, Jordan Patracone, Stéphane Chrétien, Olivier Alata

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

A Bregman Proximal Viewpoint on Neural Operators.

Abdel-Rahim Mezidi, Jordan Patracone, Saverio Salzo, Amaury Habrard, Massimiliano Pontil, Rémi Emonet, Marc Sebban

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Using Signatures and Koopman Operator to Learn Non-linear Dynamics.

Stéphane Chrétien, Ben Gao, Jordan Patracone, Olivier Alata

Proceedings of the Geometric Science of Information - 7th International Conference, 2025

2024

A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint.

Jordan Patracone, Paul Viallard, Emilie Morvant, Gilles Gasso, Amaury Habrard, Stéphane Canu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Linear Modeling of the Adversarial Noise Space.

Jordan Patracone, Lucas Anquetil, Yuan Liu, Gilles Gasso, Stéphane Canu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Approximation Error of Sobolev Regular Functions with Tanh Neural Networks: Theoretical Impact on PINNs.

Benjamin Girault, Rémi Emonet, Amaury Habrard, Jordan Patracone, Marc Sebban

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024