Saurabh Sihag

Most-cited papers

Explainable Brain Age Prediction using coVariance Neural Networks
Saurabh Sihag, Gonzalo Mateos, C. McMillan, Alejandro Ribeiro
2023Neural Information Processing Systems32 citations Open access
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coVariance Neural Networks
Saurabh Sihag, Gonzalo Mateos, C. McMillan, Alejandro Ribeiro
2022Neural Information Processing Systems31 citations Open access
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Multimodal Dynamic Brain Connectivity Analysis Based on Graph Signal Processing for Former Athletes With History of Multiple Concussions
Saurabh Sihag, S. Naze, Foad Taghdiri, Charles Tator +6 more
2020IEEE Transactions on Signal and Information Processing over Networks19 citations
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Transferability of coVariance Neural Networks
Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro
2024IEEE Journal on Selected Topics in Signal Processing15 citations
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Summary Markov Models for Event Sequences
D. Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik
2022International Joint Conference on Artificial Intelligence11 citations Open access
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Non-linear state recovery in power system under bad data and cyber attacks
A. Tajer, Saurabh Sihag, Khawla A. Alnajjar
2019Journal of Modern Power Systems and Clean Energy10 citations Open access
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Power System State Estimation Under Model Uncertainty
Saurabh Sihag, A. Tajer
2018IEEE Journal on Selected Topics in Signal Processing10 citations
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Disentangling Neurodegeneration with Brain Age Gap Prediction Models
Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2025IEEE Signal Processing Magazine8 citations Open access
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Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks
Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2024arXiv.org8 citations
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Learning Graph Structure from Convolutional Mixtures
Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2022Trans. Mach. Learn. Res.8 citations Open access
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Predicting Brain Age Using Transferable Covariance Neural Networks
Saurabh Sihag, Gonzalo Mateos, C. McMillan, Alejandro Ribeiro
2022IEEE International Conference on Acoustics, Speech, and Signal Processing7 citations Open access
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Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features
Saurabh Sihag, Gonzalo Mateos, C. McMillan, Alejandro Ribeiro
2023arXiv.org6 citations Open access
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Explainable Brain Age Gap Prediction in Neurodegenerative Conditions Using Covariance Neural Networks
Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2025IEEE International Symposium on Biomedical Imaging5 citations Open access
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Functional brain activity constrained by structural connectivity reveals cohort-specific features for serum neurofilament light chain
Saurabh Sihag, S. Naze, Foad Taghdiri, M. Gumus +10 more
2022Communications Medicine5 citations Open access
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Secure Estimation Under Causative Attacks
Saurabh Sihag, A. Tajer
2018IEEE Transactions on Information Theory5 citations Open access
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Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks
Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro
2024International Conference on Machine Learning4 citations
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Adaptive Graph-Constrained Group Testing
Saurabh Sihag, A. Tajer, U. Mitra
2022IEEE Transactions on Signal Processing4 citations Open access
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Learning Shared Subgraphs in Ising Model Pairs
Burak Varici, Saurabh Sihag, A. Tajer
2021International Conference on Artificial Intelligence and Statistics4 citations
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Structure Learning with Side Information: Sample Complexity
Saurabh Sihag, A. Tajer
2019Neural Information Processing Systems4 citations
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Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs
Saurabh Sihag, Andrea Cavallo, E. Isufi, Gonzalo Mateos +1 more
20263 citations
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GSP Analysis of Brain Imaging Data from Athletes with History of Multiple Concussions
Saurabh Sihag, S. Naze, Foad Taghdiri, M. Tartaglia +1 more
2019IEEE Global Conference on Signal and Information Processing3 citations
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Structure Learning of Similar Ising Models: Information-theoretic Bounds
Saurabh Sihag, A. Tajer
2019International Symposium on Information Theory3 citations
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Brain age correlates with plasma NfL in amyloid positive individuals
Saurabh Sihag, Alejandro Ribeiro
2024Alzheimer's & Dementia2 citations Open access
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Sample Complexity of Joint Structure Learning
Saurabh Sihag, A. Tajer
2019IEEE International Conference on Acoustics, Speech, and Signal Processing2 citations
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Distributed Estimation Under Network Model Uncertainty
Saurabh Sihag, A. Tajer
2018IEEE International Conference on Acoustics, Speech, and Signal Processing2 citations
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NON-LINEAR STATE ESTIMATION IN POWER SYSTEMS UNDER MODEL UNCERTAINTY
Saurabh Sihag, A. Tajer
2018IEEE Global Conference on Signal and Information Processing2 citations
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Faster method for Deep Belief Network based Object classification using DWT
Saurabh Sihag, P. Dutta
2015arXiv.org2 citations
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Brain Age Gap Progression in Individuals at Risk for Neurodegeneration
Jason Scheffel, Saurabh Sihag
20261 citations
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Approximate Recovery Of Ising Models with Side Information
Saurabh Sihag, A. Tajer
2020International Symposium on Information Theory1 citations
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Sequential estimation of distributed parameters in networks
Saurabh Sihag, Javad Heydari, A. Tajer
2018Annual Conference on Information Sciences and Systems1 citations
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Covariance Eigenspace Provides Latent Attribution of Longitudinal Effects in Brain Age Gap
Jason Scheffel, Saurabh Sihag
20260 citations
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Novel Framework for Brain Age Prediction using Graph Neural Networks
Saurabh Sihag, Gonzalo Mateos, D. Wolk, Alejandro Ribeiro +1 more
2023Alzheimer's & Dementia0 citations Open access
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Estimating Structurally Similar Graphical Models
Saurabh Sihag, A. Tajer
2023IEEE Transactions on Information Theory0 citations
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Neural Tangent Kernels Motivate Graph Neural Networks with Cross-Covariance Graphs
Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro
2023arXiv.org0 citations
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Structural Modularity is a Feature of C9orf72 Intrinsic Network Degeneration
Saurabh Sihag, Lauren Massimo, Sarah E. Burke, Jeffrey S. Phillips +7 more
2022Alzheimer's & Dementia0 citations
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Two-Stage Graph-Constrained Group Testing: Theory and Application
Saurabh Sihag, A. Tajer, U. Mitra
2021IEEE International Conference on Acoustics, Speech, and Signal Processing0 citations
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Optimal Network Parameter Estimation: Single-Shot Exchange of Local Decisions
Saurabh Sihag, A. Tajer
2019IEEE Signal Processing Letters0 citations
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Secure Estimation under Causative Attacks
Saurabh Sihag, A. Tajer
2019International Symposium on Information Theory0 citations Open access
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Scalable Network Parameter Estimation in the Presence of Anomalies
Saurabh Sihag, A. Tajer
2018IEEE International Conference on Acoustics, Speech, and Signal Processing0 citations
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Controlled Sequential Estimation in Networked Data
Saurabh Sihag, Javad Heydari, A. Tajer
20180 citations
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Secure parameter estimation: Fundamental tradeoffs
Saurabh Sihag, A. Tajer
2017IEEE Global Conference on Signal and Information Processing0 citations
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CoVariance Neural Networks Principal Component Analysis Meets Learning with Graphs
Saurabh Sihag, Andrea Cavallo, E. Isufi, Gonzalo Mateos +2 more
0 citations
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ENHANCING CLINICAL STRATIFICATION OF NEURODEGENERATION WITH VNN-INFORMED ANATOMIC FEATURES
Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
0 citations
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