Giacomo Meanti

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 13

Top Topics

Machine Learning

Multiclass Learning

Kernel Ridge Regression

Top Venues

IEEE Trans. Robotics

Publications

Giacomo Meanti, Antoine Chatalic, Vladimir R. Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco
Estimating Koopman operators with sketching to provably learn large scale dynamical systems. CoRR (2023)
Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, Angjoo Kanazawa
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CVPR (2023)
Sara Fridovich-Keil, Giacomo Meanti, Frederik Warburg, Benjamin Recht, Angjoo Kanazawa
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CoRR (2023)
Giacomo Meanti, Antoine Chatalic, Vladimir Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco
Estimating Koopman operators with sketching to provably learn large scale dynamical systems. NeurIPS (2023)
Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco
Multiclass learning with margin: exponential rates with no bias-variance trade-off. CoRR (2022)
Daniele Lagomarsino-Oneto, Giacomo Meanti, Nicolò Pagliana, Alessandro Verri, Andrea Mazzino, Lorenzo Rosasco, Agnese Seminara
Physics Informed Shallow Machine Learning for Wind Speed Prediction. CoRR (2022)
Federico Ceola, Elisa Maiettini, Giulia Pasquale, Giacomo Meanti, Lorenzo Rosasco, Lorenzo Natale
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot. IEEE Trans. Robotics 38 (5) (2022)
Federico Ceola, Elisa Maiettini, Giulia Pasquale, Giacomo Meanti, Lorenzo Rosasco, Lorenzo Natale
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot. CoRR (2022)
Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. AISTATS (2022)
Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco
Multiclass learning with margin: exponential rates with no bias-variance trade-off. ICML (2022)
Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. CoRR (2022)
Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco, Alessandro Rudi
Kernel methods through the roof: handling billions of points efficiently. CoRR (2020)
Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco, Alessandro Rudi
Kernel Methods Through the Roof: Handling Billions of Points Efficiently. NeurIPS (2020)