Talk page
Title:
Line Bundle Cohomology and Machine Learning
Speaker:
Abstract:
Explicit knowledge of bundle cohomology, in particular for line bundles, is essential for many classes of string compactifications. I will describe algorithmic techniques to compute bundle cohomology and explain how these lead to explicit formulae for the dimensions of line bundle cohomology an Calabi-Yau three-folds as well as on certain surfaces. In the second half of the talk I discuss how techniques from machine learning, which have recently been introduced into string theory, can be applied to the problem of computing line bundle cohomology.
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