10 citations · 25 across the 23 of their papers we have counts for
4 papers · 1 filter
Interpreting Transformers for Jet Tagging
Aaron Wang, Abhijith Gandrakota, Jennifer Ngadiuba +4
Machine learning (ML) algorithms, particularly attention-based transformer models, have become indispensable for analyzing the vast data generated by particle physics experiments l…
Real-time Anomaly Detection at the L1 Trigger of CMS Experiment
Abhijith Gandrakota
We present the preparation, deployment, and testing of an autoencoder trained for unbiased detection of new physics signatures in the CMS experiment Global Trigger (GT) test crate…
Population-level Dark Energy Constraints from Strong Gravitational Lensing using Simulation-Based Inference
Sreevani Jarugula, Brian Nord, Abhijith Gandrakota +1
In this work, we present a scalable approach for inferring the dark energy equation-of-state parameter () from a population of strong gravitational lens images using Simulation-…
Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning
Abhijith Gandrakota, Lily Zhang, Aahlad Puli +4
Anomaly, or out-of-distribution, detection is a promising tool for aiding discoveries of new particles or processes in particle physics. In this work, we identify and address two o…