Giacomo Meanti

Orcid: 0000-0002-4633-2954

According to our database1, Giacomo Meanti authored at least 8 papers between 2020 and 2023.

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Bibliography

2023
Large Scale Kernel Methods for Fun and Profit.
PhD thesis, 2023

Estimating Koopman operators with sketching to provably learn large scale dynamical systems.
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.
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.
IEEE Trans. Robotics, 2022

Physics Informed Shallow Machine Learning for Wind Speed Prediction.
CoRR, 2022

Multiclass learning with margin: exponential rates with no bias-variance trade-off.
Proceedings of the International Conference on Machine Learning, 2022

Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020
Kernel Methods Through the Roof: Handling Billions of Points Efficiently.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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