Deep learning methods have gained popularity in high energy physics for ...
Normalizing flows are diffeomorphic, typically dimension-preserving, mod...
The generation of accurate neutrino-nucleus cross-section models needed ...
For many applications, such as computing the expected value of different...
We discuss the application of Neural Spline Flows, a neural density
esti...