Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks. - Sanjay Thakur; Herke van Hoof; Juan Camilo Gamboa Higuera; Doina Precup; David Meger (ICRA, 2019)

Time2Vec: Learning a Vector Representation of Time. - Seyed Mehran Kazemi; Rishab Goel; Sepehr Eghbali; Janahan Ramanan; Jaspreet Sahota; Sanjay Thakur; Stella Wu; Cathal Smyth; Pascal Poupart; Marcus A. Brubaker (CoRR, 2019)

Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales. - Sanjay Thakur; Herke van Hoof; Gunshi Gupta; David Meger (CoRR, 2019)

Perspectives and challenges of common service centres towards e-governance. - Sanjay Thakur; Lekh Raj Verma; Jitender Tiwari; Kokila Negi (Electron. Gov. an Int. J., 2023)

Sliding mode control of a two-link flexible manipulator for reduced vibration in the presence of unmatched uncertainty and time-varying external disturbance. - Sanjay Thakur; Ranjit Kumar Barai (Int. J. Autom. Control., 2024)