research
∙
06/21/2022
Generative Modelling With Inverse Heat Dissipation
While diffusion models have shown great success in image generation, the...
share
research
∙
03/06/2020
Rethinking Sparse Gaussian Processes: Bayesian Approaches to Inducing-Variable Approximations
Variational inference techniques based on inducing variables provide an ...
research
∙
07/16/2018
Learning Stochastic Differential Equations With Gaussian Processes Without Gradient Matching
We introduce a novel paradigm for learning non-parametric drift and diff...
research
∙
05/24/2017
Non-Stationary Spectral Kernels
We propose non-stationary spectral kernels for Gaussian process regressi...
research
∙
08/18/2015
