Giacomo Meanti

17 papers A* 4A 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MAP Estimation with Denoisers: Convergence Rates and Guarantees. CoRR Scott Pesme, Giacomo Meanti, Michael Arbel, Julien Mairal
2025	J	`jnl`	Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching. CoRR Giacomo Meanti, Thomas Ryckeboer, Michael Arbel, Julien Mairal
2025	J	`jnl`	kooplearn: A Scikit-Learn Compatible Library of Algorithms for Evolution Operator Learning. CoRR Giacomo Turri, Grégoire Pacreau, Giacomo Meanti, Timothée Devergne, Daniel Ordonez, Erfan Mirzaei, Bruno Belucci, Karim Lounici, Vladimir Kostic, Massimiliano Pontil, Pietro Novelli
2023	A*	`conf`	Estimating Koopman operators with sketching to provably learn large scale dynamical systems. NeurIPS Giacomo Meanti, Antoine Chatalic, Vladimir Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco
2023	J	`jnl`	Estimating Koopman operators with sketching to provably learn large scale dynamical systems. CoRR Giacomo Meanti, Antoine Chatalic, Vladimir R. Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco
2023	A*	`conf`	K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CVPR Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, Angjoo Kanazawa
2023	J	`jnl`	K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CoRR Sara Fridovich-Keil, Giacomo Meanti, Frederik Warburg, Benjamin Recht, Angjoo Kanazawa
2023	—	`—`	Large Scale Kernel Methods for Fun and Profit. Giacomo Meanti
2022	A	`conf`	Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. AISTATS Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
2022	J	`jnl`	Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. CoRR Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
2022	J	`jnl`	Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot. CoRR Federico Ceola, Elisa Maiettini, Giulia Pasquale, Giacomo Meanti, Lorenzo Rosasco, Lorenzo Natale
2022	J	`jnl`	Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot. IEEE Trans. Robotics Federico Ceola, Elisa Maiettini, Giulia Pasquale, Giacomo Meanti, Lorenzo Rosasco, Lorenzo Natale
2022	A*	`conf`	Multiclass learning with margin: exponential rates with no bias-variance trade-off. ICML Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco
2022	J	`jnl`	Multiclass learning with margin: exponential rates with no bias-variance trade-off. CoRR Stefano Vigogna, Giacomo Meanti, Ernesto De Vito, Lorenzo Rosasco
2022	J	`jnl`	Physics Informed Shallow Machine Learning for Wind Speed Prediction. CoRR Daniele Lagomarsino-Oneto, Giacomo Meanti, Nicolò Pagliana, Alessandro Verri, Andrea Mazzino, Lorenzo Rosasco, Agnese Seminara
2020	A*	`conf`	Kernel Methods Through the Roof: Handling Billions of Points Efficiently. NeurIPS Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco, Alessandro Rudi
2020	J	`jnl`	Kernel methods through the roof: handling billions of points efficiently. CoRR Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco, Alessandro Rudi