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03/09/2022
Data-driven detector signal characterization with constrained bottleneck autoencoders
A common technique in high energy physics is to characterize the respons...
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05/26/2020
Exhaustive Neural Importance Sampling applied to Monte Carlo event generation
The generation of accurate neutrino-nucleus cross-section models needed ...
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03/23/2020
Efficient sampling generation from explicit densities via Normalizing Flows
For many applications, such as computing the expected value of different...
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02/21/2020