1 citations · 1 across the 4 of their papers we have counts for
4 papers
A PAC-Bayesian Perspective on the Interpolating Information Criterion
Liam Hodgkinson, Chris van der Heide, Robert Salomone +2
Deep learning is renowned for its theory-practice gap, whereby principled theory typically fails to provide much beneficial guidance for implementation in practice. This has been h…
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis
Conor Hassan, Robert Salomone, Kerrie Mengersen
This article provides a comprehensive synthesis of the recent developments in synthetic data generation via deep generative models, focusing on tabular datasets. We specifically ou…
Graph Neural Network-Based Anomaly Detection for River Network Systems
Katie Buchhorn, Edgar Santos-Fernandez, Kerrie Mengersen +1
Water is the lifeblood of river networks, and its quality plays a crucial role in sustaining both aquatic ecosystems and human societies. Real-time monitoring of water quality is i…
Structured variational approximations with skew normal decomposable graphical models
Robert Salomone, Xuejun Yu, David J. Nott +1
Although there is much recent work developing flexible variational methods for Bayesian computation, Gaussian approximations with structured covariance matrices are often preferred…