Giacomo Meanti

I am a PostDoc at INRIA Grenoble in the Thoth team, supervised by Julien Mairal. 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

• 01/02/24 Joined the Thoth team in Grenoble for a postdoc with Julien Mairal! I'll be working on diffusion models and imaging inverse problems.

• 11/12/23 At NeurIPS to present our paper on efficient Koopman operator learning

• 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".