LEt-SNE: A Hybrid Approach to Data Embedding and Visualization Of Hyperspectral Imagery. - Megh Shukla; Biplab Banerjee; Krishna Mohan Buddhiraju (ICASSP, 2020)

A Mathematical Analysis of Learning Loss for Active Learning in Regression. - Megh Shukla; Shuaib Ahmed (CVPR Workshops, 2021)

EGL++: Extending Expected Gradient Length to Active Learning for Human Pose Estimation. - Megh Shukla (CoRR, 2021)

VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation. - Megh Shukla; Roshan Roy; Pankaj Singh; Shuaib Ahmed; Alexandre Alahi (BMVC, 2022)

Bayesian Uncertainty and Expected Gradient Length - Regression: Two Sides Of The Same Coin? - Megh Shukla (WACV, 2022)

TIC-TAC: A Framework To Learn And Evaluate Your Covariance. - Megh Shukla; Mathieu Salzmann; Alexandre Alahi (CoRR, 2023)

TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression. - Megh Shukla; Mathieu Salzmann; Alexandre Alahi (ICML, 2024)

MotionMap: Representing Multimodality in Human Pose Forecasting. - Reyhaneh HosseiniNejad; Megh Shukla; Saeed Saadatnejad; Mathieu Salzmann; Alexandre Alahi (CVPR, 2025)

Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression. - Megh Shukla; Aziz Shameem; Mathieu Salzmann; Alexandre Alahi (ICLR, 2025)