Toward Novel Optimizers: A Moreau-Yosida View of Gradient-Based Learning. - Alessandro Betti; Gabriele Ciravegna; Marco Gori; Stefano Melacci; Kevin Mottin; Frédéric Precioso (AI*IA, 2023)

Knowledge-Driven Active Learning. - Gabriele Ciravegna; Frédéric Precioso; Alessandro Betti; Kevin Mottin; Marco Gori (ECML/PKDD (1), 2023)

A new perspective on optimizers: leveraging moreau-yosida approximation in gradient-based learning. - Alessandro Betti; Gabriele Ciravegna; Marco Gori; Stefano Melacci; Kevin Mottin; Frédéric Precioso (Intelligenza Artificiale, 2024)