Giacomo Meanti

According to our database, Giacomo Meanti authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Beyond MMSE: Enhancing PnP Restoration with ProxiMAP.

Kenta Vert, Giacomo Meanti, Scott Pesme, Michael Arbel, Julien Mairal

CoRR, May, 2026

2025

kooplearn: A Scikit-Learn Compatible Library of Algorithms for Evolution Operator Learning.

Giacomo Turri, Grégoire Pacreau, Giacomo Meanti, Timothée Devergne, Daniel Ordonez, Erfan Mirzaei, Bruno Belucci, Karim Lounici, Vladimir Kostic, Massimiliano Pontil, Pietro Novelli

CoRR, December, 2025

MAP Estimation with Denoisers: Convergence Rates and Guarantees.

Scott Pesme, Giacomo Meanti, Michael Arbel, Julien Mairal

CoRR, July, 2025

Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching.

Giacomo Meanti, Thomas Ryckeboer, Michael Arbel, Julien Mairal

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2023

Large Scale Kernel Methods for Fun and Profit.

Giacomo Meanti

PhD thesis, 2023

Estimating Koopman operators with sketching to provably learn large scale dynamical systems.

Giacomo Meanti, Antoine Chatalic, Vladimir Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

K-Planes: Explicit Radiance Fields in Space, Time, and Appearance.

Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, Angjoo Kanazawa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot.

Federico Ceola, Elisa Maiettini, Giulia Pasquale, Giacomo Meanti, Lorenzo Rosasco, Lorenzo Natale

IEEE Trans. Robotics, 2022

Physics Informed Shallow Machine Learning for Wind Speed Prediction.

Daniele Lagomarsino-Oneto, Giacomo Meanti, Nicolò Pagliana, Alessandro Verri, Andrea Mazzino, Lorenzo Rosasco, Agnese Seminara

CoRR, 2022

Multiclass learning with margin: exponential rates with no bias-variance trade-off.

Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco

Proceedings of the International Conference on Machine Learning, 2022

Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression.

Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

Kernel Methods Through the Roof: Handling Billions of Points Efficiently.

Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco, Alessandro Rudi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020