| A strategical game theoretic based demand response model for residential consumers in a fair environment S Pal, S Thakur, R Kumar, BK Panigrahi International Journal of Electrical Power & Energy Systems 97, 201-210, 2018 | 12 | 2018 |
| Uncertainty aware learning from demonstrations in multiple contexts using bayesian neural networks S Thakur, H van Hoof, JCG Higuera, D Precup, D Meger 2019 International Conference on Robotics and Automation (ICRA), 768-774, 2019 | 5 | 2019 |
| Time2vec: Learning a vector representation of time SM Kazemi, R Goel, S Eghbali, J Ramanan, J Sahota, S Thakur, S Wu, ... arXiv preprint arXiv:1907.05321, 2019 | 4 | 2019 |
| Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales S Thakur, H Van Hoof, G Gupta, D Meger arXiv preprint arXiv:1910.10367, 2019 | | 2019 |
| Time2Vec: Learning a Vector Representation of Time S Mehran Kazemi, R Goel, S Eghbali, J Ramanan, J Sahota, S Thakur, ... arXiv, arXiv: 1907.05321, 2019 | | 2019 |
| Kraft paper from sial fibre (Bauhinia vahlil-l) BN Panigrahi, RG Gantayat, KS Bhargava, SS Thakur Indian pulp and paper, 1981 | | 1981 |
| Learning from Demonstrations–I S Thakur https://sanjaykthakur.com/2018/12/23/learning-from-demonstrations-i/, 0 | | |
| The very Basics of Bayesian Neural Networks S Thakur https://sanjaykthakur.com/2018/12/05/the-very-basics-of-bayesian-neural …, 0 | | |
