2 citations · 2 across the 6 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
stat.ML2025★ 2 cited
Misspecification-robust amortised simulation-based inference using variational methods
Matthew O'Callaghan, Kaisey S. Mandel, Gerry Gilmore
Recent advances in neural density estimation have enabled powerful simulation-based inference (SBI) methods that can flexibly approximate Bayesian inference for intractable stochas…
astro-ph.GA2025
Data-driven dust inference at mid-to-high Galactic latitudes using probabilistic machine learning
Matthew O'Callaghan, Kaisey S. Mandel, Gerry Gilmore
We present a method for accurately and precisely inferring photometric dust extinction towards stars at mid-to-high Galactic latitudes using probabilistic machine learning to model…