
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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Exploring Simulation-Based Configurations in Data Analysis
This chapter explores the challenges of using a simulation-based approach to identify optimal configurations of candles and lenses in research. The speakers discuss the complexities of generating combinations and matching them to data, focusing on uncertainties and the computational hurdles in analyzing numerous configurations.
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