Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data. - Kumud Lakara; Akshat Bhandari; Pratinav Seth; Ujjwal Verma (CoRR, 2021)

UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection. - Pratinav Seth; Adil Khan; Ananya Gupta; Saurabh Kumar Mishra; Akshat Bhandari (CoRR, 2022)

Performance evaluation of deep segmentation models on Landsat-8 imagery. - Akshat Bhandari; Sriya Rallabandi; Sanchit Singhal; Aditya Kasliwal; Pratinav Seth (CoRR, 2022)

Analyzing Effects of Fake Training Data on the Performance of Deep Learning Systems. - Pratinav Seth; Akshat Bhandari; Kumud Lakara (CoRR, 2023)