most citedEvidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

hep-ex2025★ 3 cited

Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks

Ayush Khot, Xiwei Wang, Avik Roy +2

Current methods commonly used for uncertainty quantification (UQ) in deep learning (DL) models utilize Bayesian methods which are computationally expensive and time-consuming. In t…

hep-ex2022

Interpretability of an Interaction Network for identifying jets

Avik Roy, Mark S. Neubauer

Multivariate techniques and machine learning models have found numerous applications in High Energy Physics (HEP) research over many years. In recent times, AI models based on deep…