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Sandeep Kumar
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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
862020
Asynchronous Optimization over Heterogeneous Networks via Consensus ADMM
S Kumar, R Jain, K Rajawat
IEEE Transactions on Signal and Information Processing over Networks 3 (1á…, 2017
572017
Structured Graph Learning via Laplacian Spectral Constraints
S Kumar, J Ying, JVM Cardoso, D Palomar
Advances in Neural Information Processing System (NeurIPS 2019), 2019
552019
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
472019
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
362019
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
33*2016
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
162021
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
162020
Stochastic Multidimensional Scaling
K Rajawat, S Kumar
IEEE Transactions on Signal and Information Processing over Networks, 2017
162017
Parameter Estimation of Heavy-Tailed AR(P) Model from Incomplete Data
J Liu, S Kumar, DP Plaomar
European Signal Processing Conference, 2019, 2019
52019
Distributed interference alignment for MIMO cellular network via consensus ADMM
S Kumar, K Rajawat
2016 IEEE Global Conference on Signal and Information Processing, 2016
42016
Fault detection and isolation of multi-variate time series data using spectral weighted graph auto-encoders
U Goswami, J Rani, H Kodamana, S Kumar, PK Tamboli
Journal of the Franklin Institute 360 (10), 6783-6803, 2023
32023
Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I
S Kumar, K Rajawat, DP Plaomar
Arxiv https://arxiv.org/abs/1907.08969, 2019
32019
Robust graph neural networks using weighted graph laplacian
B Runwal, S Kumar
arXiv preprint arXiv:2208.01853, 2022
22022
Parameter Estimation of Heavy-Tailed Random Walk Model from Incomplete Data
J Liu, S Kumar, DP Plaomar
ICASSP, 2018, 2018
22018
A Unified Framework for Optimization-Based Graph Coarsening
M Kumar, A Sharma, S Kumar
The Journal of Machine Learning Research (JMLR), 2023
12023
Robustifying GNN Via Weighted Laplacian
B Runwal, S Kumar
2022 IEEE International Conference on Signal Processing and Communicationsá…, 2022
12022
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
12019
Velocity-assisted multidimensional scaling
S Kumar, K Rajawat
2015 IEEE 16th International Workshop on Signal Processing Advances iná…, 2015
12015
Robust and Globally Sparse Pca via Majorization-Minimization and Variable Splitting
H Brehier, A Breloy, MN El Korso, S Kumar
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech andá…, 2023
2023
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Articles 1–20