2 papers
stat.ME2026
Scalable Bayesian Spatial Mixture Modelling for Remote Sensing Image Segmentation
Bao Khanh Nguyen, Iain Cameron, Cecilia Balocchi +1
Accurate and scalable land cover classification is essential for global conservation monitoring and policy-making. While remote sensing images provide a cost-effective alternative…
stat.ML2025
Partial Trace-Class Bayesian Neural Networks
Arran Carter, Torben Sell
Bayesian neural networks (BNNs) allow rigorous uncertainty quantification in deep learning, but often come at a prohibitive computational cost. We propose three different innovativ…