Gian Maria Marconi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Inverse Kinematics

Structured Prediction

Manifold Structure

Markov Networks

Top Venues

IEEE Robotics Autom. Lett.

Trans. Mach. Learn. Res.

Publications

Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff
Variational Learning is Effective for Large Deep Networks. CoRR (2024)
Alexandre Piché, Valentin Thomas, Joseph Marino, Rafael Pardinas, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan
Bridging the Gap Between Target Networks and Functional Regularization. Trans. Mach. Learn. Res. 2023 (2023)
Alexandre Piché, Valentin Thomas, Joseph Marino, Rafael Pardinas, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan
Bridging the Gap Between Target Networks and Functional Regularization. CoRR (2022)
Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto
Structured Prediction for CRiSP Inverse Kinematics Learning With Misspecified Robot Models. IEEE Robotics Autom. Lett. 6 (3) (2021)
Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models. CoRR (2021)
Alexandre Piché, Joseph Marino, Gian Maria Marconi, Christopher Joseph Pal, Mohammad Emtiyaz Khan
Beyond Target Networks: Improving Deep Q-learning with Functional Regularization. CoRR (2021)
Gian Maria Marconi, Carlo Ciliberto, Lorenzo Rosasco
Hyperbolic Manifold Regression. AISTATS (2020)
Gian Maria Marconi, Lorenzo Rosasco, Carlo Ciliberto
Hyperbolic Manifold Regression. CoRR (2020)
Alessandro Rudi, Carlo Ciliberto, Gian Maria Marconi, Lorenzo Rosasco
Manifold Structured Prediction. CoRR (2018)
Alessandro Rudi, Carlo Ciliberto, Gian Maria Marconi, Lorenzo Rosasco
Manifold Structured Prediction. NeurIPS (2018)