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2021 3.1 Variational inference, VAE's and normalizing flows - Rianne van den Berg
#107 Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt
Normalizing Flows for scientific applications
Bayesian Inference: Overview
Normalizing Flows Explained | The Secret Behind Generative AI Models
Will Grathwohl: Scalable Reversible Generative Models with Free-form Continuous Dynamics
Continuously-Indexed Normalizing Flows - Increasing Expressiveness by Relaxing Bijectivity.
Tamara Broderick: Variational Bayes and Beyond: Bayesian Inference for Big Data (ICML 2018 tutorial)
Preconditioned training of normalizing flows for variational inference in inverse problems
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection
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Last Updated: August 16, 2026
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