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Bayesian Inference: Overview
What are Normalizing Flows
David Dunson: Scalable Bayesian Inference (NeurIPS 2018 Tutorial)
Scaling Bayesian Inference: The Power of Amortized Variational Inference
Scalable Bayesian Inference with Hamiltonian Monte Carlo
Normalizing Flows Explained | The Secret Behind Generative AI Models
#107 Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt
Scaling Up Bayesian Inference for Big and Complex Data
Shape Analysis (Lectures 17, extra content): Continuous normalizing flows
Gradient Flows For Sampling, Inference, and Learning
Continuously-Indexed Normalizing Flows - Increasing Expressiveness by Relaxing Bijectivity.
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Last Updated: August 14, 2026
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