Kernel Methods Through the Roof: Handling Billions of Points Efficiently. - Giacomo Meanti; Luigi Carratino; Lorenzo Rosasco; Alessandro Rudi (NeurIPS, 2020)

Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. - Giacomo Meanti; Luigi Carratino; Ernesto De Vito; Lorenzo Rosasco (AISTATS, 2022)

Multiclass learning with margin: exponential rates with no bias-variance trade-off. - Stefano Vigogna; Giacomo Meanti; Ernesto De Vito; Lorenzo Rosasco (ICML, 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)

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)

K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. - Sara Fridovich-Keil; Giacomo Meanti; Frederik Rahbæk Warburg; Benjamin Recht; Angjoo Kanazawa (CVPR, 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 (NeurIPS, 2023)

Large Scale Kernel Methods for Fun and Profit. - Giacomo Meanti (2023)

Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching. - Giacomo Meanti; Thomas Ryckeboer; Michael Arbel; Julien Mairal (CoRR, 2025)

MAP Estimation with Denoisers: Convergence Rates and Guarantees. - Scott Pesme; Giacomo Meanti; Michael Arbel; Julien Mairal (CoRR, 2025)