Predicting the Generalization Gap in Deep Models using Anchoring. - Vivek Sivaraman Narayanaswamy; Rushil Anirudh; Irene Kim; Yamen Mubarka; Andreas Spanias; Jayaraman J. Thiagarajan (ICASSP, 2022)

Revisiting Inlier and Outlier Specification for Improved Out-of-Distribution Detection. - Vivek Sivaraman Narayanaswamy; Yamen Mubarka; Rushil Anirudh; Deepta Rajan; Andreas Spanias; Jayaraman J. Thiagarajan (CoRR, 2022)

Exploring Inlier and Outlier Specification for Improved Medical OOD Detection. - Vivek Sivaraman Narayanaswamy; Yamen Mubarka; Rushil Anirudh; Deepta Rajan; Jayaraman J. Thiagarajan (ICCV (Workshops), 2023)

Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors. - Vivek Sivaraman Narayanaswamy; Yamen Mubarka; Rushil Anirudh; Deepta Rajan; Andreas Spanias; Jayaraman J. Thiagarajan (MIDL, 2023)

On the Use of Anchoring for Training Vision Models. - Vivek Sivaraman Narayanaswamy; Kowshik Thopalli; Rushil Anirudh; Yamen Mubarka; Wesam Sakla; Jayaraman J. Thiagarajan (NeurIPS, 2024)

Leveraging Registers in Vision Transformers for Robust Adaptation. - Srikar Yellapragada; Kowshik Thopalli; Vivek Sivaraman Narayanaswamy; Wesam Sakla; Yang Liu; Yamen Mubarka; Dimitris Samaras; Jayaraman J. Thiagarajan (ICASSP, 2025)