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stat.ML2025
Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation
Lasse Elsemüller, Valentin Pratz, Mischa von Krause +3
Neural networks are fragile when confronted with data that significantly deviates from their training distribution. This is true in particular for simulation-based inference method…
stat.ML2023★ 4 cited
A Deep Learning Method for Comparing Bayesian Hierarchical Models
Lasse Elsemüller, Martin Schnuerch, Paul-Christian Bürkner +1
Bayesian model comparison (BMC) offers a principled approach for assessing the relative merits of competing computational models and propagating uncertainty into model selection de…