Manifold Structured Prediction. - Alessandro Rudi; Carlo Ciliberto; Gian Maria Marconi; Lorenzo Rosasco (NeurIPS, 2018)

Hyperbolic Manifold Regression. - Gian Maria Marconi; Carlo Ciliberto; Lorenzo Rosasco (AISTATS, 2020)

Structured Machine Learning for Robotics. - Gian Maria Marconi (2020)

Beyond Target Networks: Improving Deep Q-learning with Functional Regularization. - Alexandre Piché; Joseph Marino; Gian Maria Marconi; Christopher Joseph Pal; Mohammad Emtiyaz Khan (CoRR, 2021)

Structured Prediction for CRiSP Inverse Kinematics Learning With Misspecified Robot Models. - Gian Maria Marconi; Raffaello Camoriano; Lorenzo Rosasco; Carlo Ciliberto (IEEE Robotics Autom. Lett., 2021)

Bridging the Gap Between Target Networks and Functional Regularization. - Alexandre Piché; Valentin Thomas; Joseph Marino; Rafael Pardinas; Gian Maria Marconi; Christopher Pal; Mohammad Emtiyaz Khan (Trans. Mach. Learn. Res., 2023)

Variational Learning is Effective for Large Deep Networks. - Yuesong Shen; Nico Daheim; Bai Cong; Peter Nickl; Gian Maria Marconi; Clement Bazan; Rio Yokota; Iryna Gurevych; Daniel Cremers; Mohammad Emtiyaz Khan; Thomas Möllenhoff (ICML, 2024)

Variational Learning Induces Adaptive Label Smoothing. - Sin-Han Yang; Zhedong Liu; Gian Maria Marconi; Mohammad Emtiyaz Khan (CoRR, 2025)