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#129 Bayesian Deep Learning & AI for Science with Vincent Fortuin

Learning Bayesian Statistics

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Innovative Neural Network Techniques for MCMC Initialization

This chapter explores the use of neural networks to initialize Markov Chain Monte Carlo (MCMC) chains, emphasizing techniques like normalizing flows and the Pathfinder algorithm. It showcases potential enhancements in sampling efficiency for large datasets and encourages engagement with open-source projects like PyMC and NutPy.

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