research
∙
06/17/2022
Shallow and Deep Nonparametric Convolutions for Gaussian Processes
A key challenge in the practical application of Gaussian processes (GPs)...
share
research
∙
06/10/2021
Learning Nonparametric Volterra Kernels with Gaussian Processes
This paper introduces a method for the nonparametric Bayesian learning o...
research
∙
11/28/2019
Machine Learning for a Low-cost Air Pollution Network
Data collection in economically constrained countries often necessitates...
research
∙
12/06/2018
The Limitations of Model Uncertainty in Adversarial Settings
Machine learning models are vulnerable to adversarial examples: minor pe...
research
∙
06/06/2018
