| Complex Networks: A Networking and Signal Processing Perspective BS Manoj, A Chakraborty, R Singh Prentice Hall, 2018 | 73 | 2018 |
| Graph Fourier transform based on directed Laplacian R Singh, A Chakraborty, BS Manoj 2016 International Conference on Signal Processing and Communications (SPCOM …, 2016 | 63 | 2016 |
| Multi-marginal optimal transport and probabilistic graphical models I Haasler, R Singh, Q Zhang, J Karlsson, Y Chen IEEE Transactions on Information Theory 67 (7), 4647-4668, 2021 | 59 | 2021 |
| Improving robustness via risk averse distributional reinforcement learning R Singh, Q Zhang, Y Chen Learning for Dynamics and Control, 958-968, 2020 | 51 | 2020 |
| GFT Centrality: A New Node Importance Measure for Complex Networks R Singh, A Chakraborty, BS Manoj Physica A: Statistical Mechanics and its Applications 487, 185-195, 2017 | 30 | 2017 |
| Sample-based distributional policy gradient R Singh, K Lee, Y Chen Learning for Dynamics and Control Conference, 676-688, 2022 | 20 | 2022 |
| Inference with aggregate data: An optimal transport approach R Singh, I Haasler, Q Zhang, J Karlsson, Y Chen arXiv preprint arXiv:2003.13933, 2020 | 20 | 2020 |
| Inference with aggregate data in probabilistic graphical models: An optimal transport approach R Singh, I Haasler, Q Zhang, J Karlsson, Y Chen IEEE Transactions on Automatic Control 67 (9), 4483-4497, 2022 | 13 | 2022 |
| In-process monitoring of electrohydrodynamic inkjet printing using machine vision H Qin, X Zhang, R Singh, Z Zhang, Y Chen AIP Conference Proceedings 2102 (1), 2019 | 12 | 2019 |
| In-situ real-time characterization of micro-filaments for electrohydrodynamic ink-jet printing using machine vision R Singh, X Zhang, Y Chen, J Zheng, H Qin Procedia Manufacturing 17 (2018), 45-52, 2018 | 12 | 2018 |
| Signed Graph Neural Networks: A Frequency Perspective R Singh, Y Chen Transactions on Machine Learning Research, 2023 | 11 | 2023 |
| Alternating gradient descent ascent for nonconvex min-max problems in robust learning and GANs S Lu, R Singh, X Chen, Y Chen, M Hong 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 680-684, 2019 | 8 | 2019 |
| Incremental inference of collective graphical models. R Singh, I Haasler, Q Zhang, J Karlsson, Y Chen IEEE Control Systems Letters, 2020 | 6 | 2020 |
| Understand the dynamics of GANs via primal-dual optimization S Lu, R Singh, X Chen, Y Chen, M Hong | 6 | 2019 |
| Learning Gaussian hidden Markov models from aggregate data R Singh, Y Chen IEEE Control Systems Letters 7, 478-483, 2022 | 5 | 2022 |
| Support vector machine prediction of individual Autism Diagnostic Observation Schedule (ADOS) scores based on neural responses during live eye-to-eye contact X Zhang, JA Noah, R Singh, JC McPartland, J Hirsch Scientific Reports 14 (1), 3232, 2024 | 4 | 2024 |
| On spectral analysis of node centralities R Singh, A Chakraborty, BS Manoj 2016 IEEE International Conference on Advanced Networks and …, 2016 | 4 | 2016 |
| Learning hidden Markov models from aggregate observations R Singh, Q Zhang, Y Chen Automatica 137, 110100, 2022 | 3 | 2022 |
| Inference of collective Gaussian hidden Markov models R Singh, Y Chen 2021 60th IEEE Conference on Decision and Control (CDC), 1637-1643, 2021 | 2 | 2021 |
| Filtering for aggregate hidden markov models with continuous observations Q Zhang, R Singh, Y Chen arXiv preprint arXiv:2011.02521, 2020 | 2 | 2020 |
Manoj B. S.Indian Institute of Space science and Technology (IIST)Verified email at iist.ac.in
