Speaker
Kinga Anna Wozniak
(Universite de Geneve (CH))
Description
Unsupervised and weakly supervised techniques in machine learning can boost conventional methods for anomaly detection in HEP and open up a path for model-agnostic searches. Challenges posed by HEP data, including its voluminous nature and intricate structure, as well as insights drawn from the studies of manifold models are adressed.
Brainstorming idea [abstract]
how can machine learning benefit from category theory
| Brainstorming idea [title] | Category theory and machine learning |
|---|
Primary author
Kinga Anna Wozniak
(Universite de Geneve (CH))
