research
∙
03/01/2023
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning
Open-World Compositional Zero-Shot Learning (OW-CZSL) aims to recognize ...
share
research
∙
06/03/2022
Structure Learning for Hybrid Bayesian Networks
Bayesian networks have been used as a mechanism to represent the joint d...
research
∙
08/19/2019
AdaptSPEC-X: Covariate Dependent Spectral Modeling of Multiple Nonstationary Time Series
We present a method for the joint analysis of a panel of possibly nonsta...
research
∙
06/07/2019
Structured Variational Inference in Continuous Cox Process Models
We propose a scalable framework for inference in an inhomogeneous Poisso...
research
∙
02/09/2019
Bayesian Nonparametric Adaptive Spectral Density Estimation for Financial Time Series
Discrimination between non-stationarity and long-range dependency is a d...
research
∙
12/02/2018
Efficiency and robustness in Monte Carlo sampling of 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success
The rigorous quantification of uncertainty in geophysical inversions is ...
research
∙
11/11/2018
Langevin-gradient parallel tempering for Bayesian neural learning
Bayesian neural learning feature a rigorous approach to estimation and u...
research
∙
08/06/2018
BayesReef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics
Estimating the impact of environmental processes on vertical reef develo...
research
∙
06/23/2018
Multi-core parallel tempering Bayeslands for basin and landscape evolution
In recent years, Bayesian inference has become a popular methodology for...
research
∙
05/02/2018
BayesLands: A Bayesian inference approach for parameter uncertainty quantification in Badlands
Bayesian inference provides a principled approach towards uncertainty qu...
research
∙
04/24/2018
A comparison of methods for modeling marginal non-zero daily rainfall across the Australian continent
Naveau et al. (2016) have recently developed a class of methods, based o...
research
∙
03/12/2018