most citedInterplay of Traditional Methods and Machine Learning Algorithms for Tagging Boosted Objects

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

hep-ph2025

Probes of Anomalous Events at LHC with Self-Organizing Maps

Shreecheta Chowdhury, Amit Chakraborty, Saunak Dutta

We propose an Unsupervised Learning Algorithm, Self-Organizing Maps (SOM), built on a neural network architecture, for the probe of a rare top decay, mediated by Flavor Changing Ne…

hep-ph2024★ 5 cited

Interplay of Traditional Methods and Machine Learning Algorithms for Tagging Boosted Objects

Camellia Bose, Amit Chakraborty, Shreecheta Chowdhury +1

Interest in deep learning in collider physics has been growing in recent years, specifically in applying these methods in jet classification, anomaly detection, particle identifica…