most citedADFilter -- A Web Tool for New Physics Searches With Autoencoder-Based Anomaly Detection Using Deep Unsupervised Neural Networks

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

hep-ph2024★ 2 cited

ADFilter -- A Web Tool for New Physics Searches With Autoencoder-Based Anomaly Detection Using Deep Unsupervised Neural Networks

Sergei V. Chekanov, Wasikul Islam, Rui Zhang +1

A web-based tool called ADFilter was developed to process collision events using autoencoders based on a deep unsupervised neural network. The autoencoders are trained on a small f…