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Found 2 papers, 1 papers with code
Singular-limit analysis of gradient descent with noise injection
In this regime the set of global minimizers of the loss is large, and when initialized in a neighbourhood of this zero-loss set a noisy gradient descent algorithm slowly evolves along this set.
SciSports: Learning football kinematics through two-dimensional tracking data
After training, the Variational Autoencoders generated trajectories that are difficult to distinguish, visually, from the data.
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