Approximation Error of Sobolev Regular Functions with Tanh Neural Networks: Theoretical Impact on PINNs. - Benjamin Girault; Rémi Emonet; Amaury Habrard; Jordan Patracone; Marc Sebban (ECML/PKDD (4), 2024)

Linear Modeling of the Adversarial Noise Space. - Jordan Patracone; Lucas Anquetil; Yuan Liu; Gilles Gasso; Stéphane Canu (ECML/PKDD (4), 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 (ECML/PKDD (4), 2024)

Using Signatures and Koopman Operator to Learn Non-linear Dynamics. - Stéphane Chrétien; Ben Gao; Jordan Patracone; Olivier Alata (GSI (3), 2025)

Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization. - Sara Venturini; Marianna De Santis; Jordan Patracone; Martin Schmidt 003; Francesco Rinaldi; Saverio Salzo (Trans. Mach. Learn. Res., 2025)