research
∙
06/07/2023
Estimating Koopman operators with sketching to provably learn large scale dynamical systems
The theory of Koopman operators allows to deploy non-parametric machine ...
share
research
∙
01/24/2023
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
We introduce k-planes, a white-box model for radiance fields in arbitrar...
research
∙
06/27/2022
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot
The visual system of a robot has different requirements depending on the...
research
∙
04/01/2022
Physics Informed Shallow Machine Learning for Wind Speed Prediction
The ability to predict wind is crucial for both energy production and we...
research
∙
02/03/2022
Multiclass learning with margin: exponential rates with no bias-variance trade-off
We study the behavior of error bounds for multiclass classification unde...
research
∙
01/17/2022
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression
Kernel methods provide a principled approach to nonparametric learning. ...
research
∙
06/18/2020