2 papers
stat.AP2026
A Non-stationary, Amortized, Transfer Learning Approach for Modeling Italian Air Quality
Alessandro Fusta Moro, Antony Sikorski, Daniel McKenzie +2
Air quality monitoring in Italy relies on sparse, irregular, ground-based stations that provide high-quality but incomplete measurements of pollution. Chemical transport models (CT…
stat.ML2026
LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data
Antony Sikorski, Michael Ivanitskiy, Nathan Lenssen +2
In many applications, we wish to fit a parametric statistical model to a small ensemble of spatially distributed random variables ('fields'). However, parameter inference using max…