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08/18/2023
Reconstructing S-matrix Phases with Machine Learning
An important element of the S-matrix bootstrap program is the relationsh...
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07/06/2023
Neural Network Field Theories: Non-Gaussianity, Actions, and Locality
Both the path integral measure in field theory and ensembles of neural n...
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06/08/2022
Simplifying Polylogarithms with Machine Learning
Polylogrithmic functions, such as the logarithm or dilogarithm, satisfy ...
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10/13/2021
Challenges for Unsupervised Anomaly Detection in Particle Physics
Anomaly detection relies on designing a score to determine whether a par...
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04/25/2018
JUNIPR: a Framework for Unsupervised Machine Learning in Particle Physics
In applications of machine learning to particle physics, a persistent ch...
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03/21/2018
Jet Charge and Machine Learning
Modern machine learning techniques, such as convolutional, recurrent and...
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01/30/2018
Learning to Classify from Impure Samples
A persistent challenge in practical classification tasks is that labelle...
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07/26/2017