Giacomo Meanti

I am a PostDoc at the Istituto Italiano di Tecnologia, in the IIT @ MIT lab with Lorenzo Rosasco. I'm interested in developing efficient algorithms for shallow learning: in particular kernel models but also more recently neural radiance fields (NeRFs).

I hold a PhD from the University of Genova (at the MaLGa group), where I developed the Falkon library, the state of the art solver for approximate kernel ridge regression (training on the 1B point Taxi dataset in 1 hour).

More recently I'm focusing on algorithmic challenges in the natural sciences, applying fast kernel methods to molecular dynamics (more details here) and atomistic energy estimation.

You can contact me by e-mail at giacomo [dot] meanti [at] gmail [dot] com

Updates

21/06/23 At CVPR to present K-Planes: an efficient NeRF algorithm in arbitrary dimensions.
07/06/23 Our paper on efficient Koopman operator learning with the Nyström approximation, with applications to the study of dynamical systems is available on ArXiv!
30/05/23 I completed my PhD defense! You can check out the slides or the full thesis "Large Scale Kernel Methods for Fun and Profit".