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Found 2 papers, 1 papers with code
Supervised machine learning techniques for data matching based on similarity metrics
A dataset of invoices from a variety of businesses and organizations was preprocessed with a grouping scheme to reduce pair dimensionality and a set of similarity functions was used to quantify similarity between invoice pairs.
DijetGAN: A Generative-Adversarial Network Approach for the Simulation of QCD Dijet Events at the LHC
A Generative-Adversarial Network (GAN) based on convolutional neural networks is used to simulate the production of pairs of jets at the LHC.
High Energy Physics - Experiment High Energy Physics - Phenomenology
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