research
∙
08/29/2023
WeatherBench 2: A benchmark for the next generation of data-driven global weather models
WeatherBench 2 is an update to the global, medium-range (1-14 day) weath...
share
research
∙
03/12/2021
Hamiltonian Monte Carlo in Inverse Problems; Ill-Conditioning and Multi-Modality
The Hamiltonian Monte Carlo (HMC) method allows sampling from continuous...
research
∙
02/04/2020
tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware
Markov chain Monte Carlo (MCMC) is widely regarded as one of the most im...
research
∙
05/28/2019
Constructing High Precision Knowledge Bases with Subjective and Factual Attributes
Knowledge bases (KBs) are the backbone of many ubiquitous applications a...
research
∙
05/23/2019
A Condition Number for Hamiltonian Monte Carlo
Hamiltonian Monte Carlo is a popular sampling technique for smooth targe...
research
∙
03/09/2019
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport
Hamiltonian Monte Carlo is a powerful algorithm for sampling from diffic...
research
∙
01/09/2018
Quadrature Compound: An approximating family of distributions
Compound distributions allow construction of a rich set of distributions...
research
∙
11/28/2017
