← Search

Xavier Intes

2 accepted papers

2026

Compositional amortized inference for large-scale hierarchical Bayesian models

ICLR 2026poster

Amortized Bayesian inference (ABI) has emerged as a powerful simulation-based approach for estimating complex mechanistic models, offering fast posterior sampling via generative neural networks. However, extending ABI to hierarchical models, a cornerstone of modern Bayesian analysis, remains a major…

Cited by 0SourceScholar
2026

JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference

ICML 2026poster

We consider problems of parameter estimation where design variables can be actively optimized to maximize information gain. To this end, we introduce JADAI, a framework that jointly amortizes Bayesian adaptive design and inference by training a policy, a history network, and an inference network end…

Cited by 0SourceScholar