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Saurabh Sihag
Saurabh Sihag
Incoming Assistant Professor at University at Albany
Verified email at albany.edu - Homepage
Title
Cited by
Cited by
Year
Multimodal dynamic brain connectivity analysis based on graph signal processing for former athletes with history of multiple concussions
S Sihag, S Naze, F Taghdiri, C Tator, R Wennberg, D Mikulis, R Green, ...
IEEE Transactions on Signal and Information Processing over Networks 6, 284-299, 2020
192020
Non-linear state recovery in power system under bad data and cyber attacks
A Tajer, S Sihag, K Alnajjar
Journal of Modern Power Systems and Clean Energy 7, 1071-1080, 2019
152019
Secure estimation under causative attacks
S Sihag, A Tajer
IEEE Transactions on Information Theory 66 (8), 5145-5166, 2020
132020
Power system state estimation under model uncertainty
S Sihag, A Tajer
IEEE Journal of Selected Topics in Signal Processing 12 (4), 593-606, 2018
132018
coVariance neural networks
S Sihag, G Mateos, C McMillan, A Ribeiro
Advances in neural information processing systems 35, 17003-17016, 2022
72022
Summary Markov Models for Event Sequences
D Bhattacharjya, S Sihag, O Hassanzadeh, L Bialik
International Joint Conference on Artificial Intelligence, 2022
72022
Structure learning with side information: Sample complexity
S Sihag, A Tajer
Advances in Neural Information Processing Systems 32, 2019
62019
Learning shared subgraphs in ising model pairs
B Varici, S Sihag, A Tajer
International Conference on Artificial Intelligence and Statistics, 3952-3960, 2021
52021
Predicting Brain Age using Transferable coVariance Neural Networks
S Sihag, G Mateos, C McMillan, A Ribeiro
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
42023
Structure learning of similar ising models: Information-theoretic bounds
S Sihag, A Tajer
2019 IEEE International Symposium on Information Theory (ISIT), 1307-1311, 2019
42019
Explainable brain age prediction using covariance neural networks
S Sihag, G Mateos, C McMillan, A Ribeiro
Advances in Neural Information Processing Systems 36, 2024
32024
Functional brain activity constrained by structural connectivity reveals cohort-specific features for serum neurofilament light chain
S Sihag, S Naze, F Taghdiri, M Gumus, C Tator, R Green, B Colella, ...
Communications Medicine 2 (1), 8, 2022
32022
Transferability of coVariance Neural Networks
S Sihag, G Mateos, C McMillan, A Ribeiro
IEEE Journal of Selected Topics in Signal Processing, 2024
2*2024
Towards a foundation model for brain age prediction using covariance neural networks
S Sihag, G Mateos, A Ribeiro
arXiv preprint arXiv:2402.07684, 2024
22024
GSP analysis of brain imaging data from athletes with history of multiple concussions
S Sihag, S Naze, F Taghdiri, MC Tartaglia, JR Kozloski
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019
22019
Sample complexity of joint structure learning
S Sihag, A Tajer
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
22019
Learning Graph Structure from Convolutional Mixtures
M Wasserman, S Sihag, G Mateos, A Ribeiro
Transactions on Machine Learning Research, 2023
12023
Adaptive Graph-Constrained Group Testing
S Sihag, A Tajer, U Mitra
IEEE Transactions on Signal Processing 70, 381-396, 2021
12021
Approximate recovery of Ising models with side information
S Sihag, A Tajer
2020 IEEE International Symposium on Information Theory (ISIT), 1319-1324, 2020
12020
Non-linear state estimation in power systems under model uncertainty
S Sihag, A Tajer
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
12018
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