Gian Maria Marconi

According to our database, Gian Maria Marconi authored at least 7 papers between 2018 and 2024.

Collaborative distances:

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

2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

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

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

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

2020

Structured Machine Learning for Robotics.

Gian Maria Marconi

PhD thesis, 2020

Hyperbolic Manifold Regression.

Gian Maria Marconi, Carlo Ciliberto, Lorenzo Rosasco

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2018

Manifold Structured Prediction.

Alessandro Rudi, Carlo Ciliberto, Gian Maria Marconi, Lorenzo Rosasco

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018