A Python library for efficient Bayesian modeling with deep learning

Amortized Inference for Causal Structure Learning, NeurIPS 2022

This is a community-driven collection of resources around amortized inference.

AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning

A Python library for simulation and Bayesian estimation of models with time-varying parameters.

ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition (Huang et al., NeurIPS 2025)

Synthetic Quantum Electrodynamics via Generative AI @ AIMS, Cape Town, May 2025

Amortized trans-dimensional inference (joint cardinality + parameters) via slot-based conditional normalizing flows — sinusoidal and Gaussian-mixture instantiations.

Compositional Amortized Inference for Large-Scale Hierarchical Bayesian Models

Meta-/in-context/amortized causal inference for computational identifiability

Implementing Bayesian neural networks to close the amortization gap in VAEs in PyTorch

Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference

A tutorial on the various methods for performing approximate inference in Bayesian statistics

ProbAI Summer School 2026

Official code for "Spectral Convolutional Conditional Neural Processes" (NeurIPS 2025)