Global Morse index theorem applied to Jacobi fields on CMC surfaces.
arXiv research
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The output scores of a neural network classifier are converted to probabilities via normalizing over the scores of all competing categories. Computing this partition function, , is then linear in the number of categories, which is problematic as real-world problem sets continue to grow in categorical types, such as …
Novel proof shows continuity of optimal transport feasible set mapping.
Branching Flows generates sequences of varying lengths using binary trees.
Particle identification is one of the core tasks in the data analysis pipeline at the Large Hadron Collider (LHC). Statistically, this entails the identification of rare signal events buried in immense backgrounds that mimic the properties of the former. In machine learning parlance, particle identification represents …
A new method helps deep learning systems adapt to changing conditions.
New algorithm tackles multiclass transductive online learning with unbounded labels.