A Python library for amortized Bayesian workflows using generative neural networks.
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Updated
May 17, 2024 - Python
A Python library for amortized Bayesian workflows using generative neural networks.
Amortized Inference for Causal Structure Learning, NeurIPS 2022
AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning
Closing the amortization gap in Bayesian deep generative models (A-VI vs F-VI) in PyTorch
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