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Events on Wednesday, February 9th, 2022

Physics ∩ ML Seminar
Probabilistic Deep Learning and Applications to FRB parameter inference
Time: 11:00 am
Place: 5280 Chamberlin
Abstract: Probabilistic Deep Learning is a powerful tool that combines predictive power of deep learning algorithms with rigorous statistical methods for inferring complex relations in stochastic data. The talk will first give an introduction to probabilistic DL with review of the most popular frameworks, and then an application of presented methods to the inference of properties of Fast Radio Bursts.
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