Mapping Dark Matter with Bayesian Neural Networks w/ Yashar Hezaveh - TWiML Talk #250
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Understanding Priors in Statistical Analysis of Lensing Phenomena
This chapter examines the role of 'priors' in statistical analysis, with a focus on lensing phenomena and the influence of prior knowledge on astronomical image modeling. It also emphasizes the potential of machine learning to derive structural priors from large datasets, revolutionizing lensing analysis techniques.
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