A Unified Framework for Structured Graph Learning via Spectral Constraints S Kumar, J Ying, JV Cardoso, DP Palomar Journal of Machine Learning Research (JMLR) 21 (22), 1-60, 2020 | 134 | 2020 |
Structured Graph Learning via Laplacian Spectral Constraints S Kumar, J Ying, JVM Cardoso, D Palomar Advances in Neural Information Processing System (NeurIPS 2019), 2019 | 75 | 2019 |
Asynchronous Optimization over Heterogeneous Networks via Consensus ADMM S Kumar, R Jain, K Rajawat IEEE Transactions on Signal and Information Processing over Networks 3 (1 …, 2017 | 70 | 2017 |
Optimization Algorithms on Graph Laplacian Estimation via ADMM and MM L Zhao, Y Wang, S Kumar, DP Palomar IEEE Transactions on Signal Processing 67 (16), 4231 - 4244, 2019 | 49 | 2019 |
Parameter Estimation of Heavy-Tailed AR Model with Missing Data via Stochastic EM J Liu, S Kumar, DP Plaomar IEEE Transactions on Signal Processing 67 (8), 2159-2172, 2019 | 49 | 2019 |
Majorization-Minimization on the Stiefel Manifold with Application to Robust Sparse PCA A Berloy, S Kumar, S Ying, D Palomar IEEE Transactions on Signal Processing, 2021 | 37 | 2021 |
Cooperative Localization of Mobile Networks via Velocity-Assisted Multidimensional Scaling Sandeep Kumar, Raju Kumar, and Ketan Rajawat IEEE Transactions on Signal Processing 64 (7), 1744--1758, 2016 | 34* | 2016 |
Stochastic Multidimensional Scaling K Rajawat, S Kumar IEEE Transactions on Signal and Information Processing over Networks, 2017 | 24 | 2017 |
Student’s t VAR Modeling with Missing Data via Stochastic EM and Gibbs Sampling R Zhou, J Liu, S Kumar, DP Palomar IEEE Transactions on Signal Processing, 2020 | 19 | 2020 |
Featured Graph Coarsening with Similarity Guarantees M Kumar, A Sharma, S Saxena, S Kumar International Conference on Machine Learning (ICML) 2023 40, 2023 | 16 | 2023 |
"No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation N Aggarwal, A Sirohi, S Kumar, and Jayadeva The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024 …, 2024 | 14 | 2024 |
A Unified Framework for Optimization-Based Graph Coarsening M Kumar, A Sharma, S Kumar The Journal of Machine Learning Research (JMLR), 2023 | 12 | 2023 |
A miniaturized dual-resonator-based high-capacity chipless radio frequency identification tag sensor SK Gupta, S Kumar, A Sharma IEEE Sensors Letters 6 (11), 1-4, 2022 | 9 | 2022 |
Robust graph neural networks using weighted graph laplacian B Runwal, S Kumar arXiv preprint arXiv:2208.01853, 2022 | 7 | 2022 |
Parameter Estimation of Heavy-Tailed AR(P) Model from Incomplete Data J Liu, S Kumar, DP Plaomar European Signal Processing Conference, 2019, 2019 | 6 | 2019 |
Shed lay-out affects physiological responses and semen quality of crossbred bulls during summer season AS Sirohi, N Chand, S Tyagi, S Kumar, A Sharma, CP SINGH The Indian Journal of Animal Sciences 87 (3), 361-365, 2017 | 6 | 2017 |
Identification of HPr kinase/phosphorylase inhibitors: novel antimicrobials against resistant Enterococcus faecalis S Kumar, R Bhadane, S Shandilya, OMH Salo-Ahen, S Kapila Journal of Computer-Aided Molecular Design 36 (7), 507-520, 2022 | 5 | 2022 |
Multi-product economic inventory policy with time varying power demand, shortages and complete backordering S Kumar, M Kumar, M Sahni Universal Journal of Accounting and Finance 9, 98-104, 2021 | 5 | 2021 |
Bipartite Structured Gaussian Graphical Modelling via Adjacency Spectral Priors S Kumar, J Ying, VDM Cardoso, Jose, D Palomar IEEE Asilomar Conference on Signals, Systems & Computers, 2019 | 4 | 2019 |
Distributed interference alignment for MIMO cellular network via consensus ADMM S Kumar, K Rajawat 2016 IEEE Global Conference on Signal and Information Processing, 2016 | 4 | 2016 |