Sandeep Kumar

CoRR, April, 2025

A Unified Optimization-Based Framework for Certifiably Robust and Fair Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2025

An Efficient Framework for Epidemiological Parameter Estimation via Graph Reduction and Graph Neural Networks.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2025

A novel coarsened graph learning method for scalable single-cell data analysis.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2025

Multi-Component Coarsened Graph Learning for Scaling Graph Machine Learning.

[BibT_eX]

[DOI]

Subhanu Halder

Manoj Kumar

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

UGC: Universal Graph Coarsening.

[BibT_eX]

[DOI]

Mohit Kataria

Jayadeva

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CoRE-BOLD: Cross-Domain Robust and Equitable Ensemble for BOLD Signal Analysis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Health, 2024

HistoGraphCoarse: Strategizing Graph Coarsening Techniques for Efficient Analysis of Gigapixel Histopathological Images.

[BibT_eX]

[DOI]

Proceedings of the Graphs in Biomedical Image Analysis - 6th International Workshop, 2024

Unveiling Graph Structures for Machine Learning: Learning, Structuring, and Coarsening.

[BibT_eX]

[DOI]

Manoj Kumar

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Graph of Circuits with GNN for Exploring the Optimal Design Space.

[BibT_eX]

[DOI]

Aditya Hemant Shahane

Saripilli Swapna Manjiri

Ankesh Jain

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Estimating Normalized Graph Laplacians in Financial Markets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Robust and Globally Sparse Pca via Majorization-Minimization and Variable Splitting.

[BibT_eX]

[DOI]

Hugo Brehier

Arnaud Breloy

Mohammed Nabil El Korso

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Parameter Estimation for Student's t VAR Model with Missing Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Student's $t$ VAR Modeling With Missing Data Via Stochastic EM and Gibbs Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

A Unified Framework for Structured Graph Learning via Spectral Constraints.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2020

2019

Optimization Algorithms for Graph Laplacian Estimation via ADMM and MM.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Parameter Estimation of Heavy-Tailed AR Model With Missing Data Via Stochastic EM.

[BibT_eX]

[DOI]

Junyan Liu

IEEE Trans. Signal Process., 2019

Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I.

[BibT_eX]

[DOI]

CoRR, 2019

Structured Graph Learning Via Laplacian Spectral Constraints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Parameter Estimation of Heavy-Tailed AR(p) Model from Incomplete Data.

[BibT_eX]

[DOI]

Junyan Liu

Proceedings of the 27th European Signal Processing Conference, 2019

Robust Factor Analysis Parameter Estimation.

[BibT_eX]

[DOI]

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Bipartite Structured Gaussian Graphical Modeling via Adjacency Spectral Priors.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Parameter Estimation of Heavy-Tailed Random Walk Model from Incomplete Data.

[BibT_eX]

[DOI]

Junyan Liu

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Stochastic Multidimensional Scaling.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2017

Asynchronous Optimization Over Heterogeneous Networks Via Consensus ADMM.

[BibT_eX]

[DOI]

Rahul Jain

IEEE Trans. Signal Inf. Process. over Networks, 2017

Distributed asynchronous localization over WSNs via non-convex consensus ADMM.

[BibT_eX]

[DOI]

Proceedings of the Twenty-third National Conference on Communications, 2017

2016

Cooperative Localization of Mobile Networks Via Velocity-Assisted Multidimensional Scaling.

[BibT_eX]

[DOI]

Raju Kumar

IEEE Trans. Signal Process., 2016

Distributed interference alignment for MIMO cellular network via consensus ADMM.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Velocity-assisted multidimensional scaling.

[BibT_eX]

[DOI]