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Lightning Talk: Bayesian Neural Networks With Variational Inference in PyTorch - Lars Heyen
#107 Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt
Week 14: Bayesian Deep Learning - Part 5: Bayesian Neural Networks and Natural Parameter Networks
Dmitry Molchanov: Variational Dropout for Deep Neural Networks and Linear Model, bayesgroup.ru
Tamara Broderick: Variational Bayes and Beyond: Bayesian Inference for Big Data (ICML 2018 tutorial)
Bayesian Neural Network | Deep Learning
Scaling Bayesian Inference: The Power of Amortized Variational Inference
TAGI | Tractable Approximate Gaussian Inference for Bayesian Neural Networks
CS 285: Lecture 18, Variational Inference, Part 4
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Last Updated: August 16, 2026
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