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Daniel Habermann

2 accepted papers

2026

Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data

ICLR 2026poster

Amortized Bayesian inference (ABI) with neural networks can solve probabilistic inverse problems orders of magnitude faster than classical methods. However, ABI is not yet sufficiently robust for widespread and safe application. When performing inference on observations outside the scope of the simu…

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2024

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference

ICML 2024poster

We propose a method to improve the efficiency and accuracy of amortized Bayesian inference by leveraging universal symmetries in the joint probabilistic model of parameters and data. In a nutshell, we invert Bayes' theorem and estimate the marginal likelihood based on approximate representations of…