New paper: Learning Nonparametric Volterra Kernels with Gaussian Processes

2021/07/15

Update: This paper was published at NeurIPS 2021 check out the final version or my presentation.

This work, with Mauricio Alvarez and Mike Smith, has been the main focus of the first year of my PhD, check it out on arXiv.

Cool diagram!

The sampling process for the model described in the paper, which is a non-parametric, and can represent data generated by non-linear operators.

There will be a blog post explaining the key ideas coming soon!