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stat.ML2026
From Mice to Trains: Amortized Bayesian Inference on Graph Data
Svenja Jedhoff, Elizaveta Semenova, Aura Raulo +2
Graphs arise across diverse domains, from biology and chemistry to social and information networks, as well as in transportation and logistics. Inference on graph-structured data r…
stat.ML2026
Unsupervised Continual Learning for Amortized Bayesian Inference
Aayush Mishra, Šimon Kucharský, Paul-Christian Bürkner
Amortized Bayesian Inference (ABI) enables efficient posterior estimation using generative neural networks trained on simulated data, but often suffers from performance degradation…