Saurabh Sihag

39 papers A* 5A 1B 3Misc 6Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Disentangling Neurodegeneration With Brain Age Gap Prediction Models: A graph signal processing perspective.
IEEE Signal Process. Mag.
Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2025 J jnl
Disentangling Neurodegeneration with Brain Age Gap Prediction Models: A Graph Signal Processing Perspective.
CoRR
Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2025 — conf
Explainable Brain Age Gap Prediction in Neurodegenerative Conditions Using Covariance Neural Networks.
ISBI
Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2025 J jnl
Explainable Brain Age Gap Prediction in Neurodegenerative Conditions using coVariance Neural Networks.
CoRR
Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2024 A* conf
Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks.
ICML
Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro
2024 J jnl
Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks.
CoRR
Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2023 J jnl
Estimating Structurally Similar Graphical Models.
IEEE Trans. Inf. Theory
Saurabh Sihag, Ali Tajer
2023 A* conf
Explainable Brain Age Prediction using coVariance Neural Networks.
NeurIPS
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
2023 J jnl
Explainable Brain Age Prediction using coVariance Neural Networks.
CoRR
Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro
2023 J jnl
Learning Graph Structure from Convolutional Mixtures.
Trans. Mach. Learn. Res.
Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2023 J jnl
Neural Tangent Kernels Motivate Graph Neural Networks with Cross-Covariance Graphs.
CoRR
Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro
2023 Misc conf
Predicting Brain Age Using Transferable Covariance Neural Networks.
ICASSP
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
2023 J jnl
Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features.
CoRR
Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro
2022 J jnl
Adaptive Graph-Constrained Group Testing.
IEEE Trans. Signal Process.
Saurabh Sihag, Ali Tajer, Urbashi Mitra
2022 J jnl
Learning Graph Structure from Convolutional Mixtures.
CoRR
Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
2022 J jnl
Predicting Brain Age using Transferable coVariance Neural Networks.
CoRR
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
2022 A* conf
Summary Markov Models for Event Sequences.
IJCAI
Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik
2022 J jnl
Summary Markov Models for Event Sequences.
CoRR
Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik
2022 A* conf
coVariance Neural Networks.
NeurIPS
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
2022 J jnl
coVariance Neural Networks.
CoRR
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
2021 A conf
Learning Shared Subgraphs in Ising Model Pairs.
AISTATS
Burak Varici, Saurabh Sihag, Ali Tajer
2021 Misc conf
Two-Stage Graph-Constrained Group Testing: Theory and Application.
ICASSP
Saurabh Sihag, Ali Tajer, Urbashi Mitra
2020 B conf
Approximate Recovery Of Ising Models with Side Information.
ISIT
Saurabh Sihag, Ali Tajer
2020 J jnl
Multimodal Dynamic Brain Connectivity Analysis Based on Graph Signal Processing for Former Athletes With History of Multiple Concussions.
IEEE Trans. Signal Inf. Process. over Networks
Saurabh Sihag, Sébastien Naze, Foad Taghdiri, Charles Tator, Richard Wennberg, David J. Mikulis, Robin Green, Brenda Colella, Maria Carmela Tartaglia, James R. Kozloski
2020 J jnl
Secure Estimation Under Causative Attacks.
IEEE Trans. Inf. Theory
Saurabh Sihag, Ali Tajer
2019 — conf
GSP Analysis of Brain Imaging Data from Athletes with History of Multiple Concussions.
GlobalSIP
Saurabh Sihag, Sébastien Naze, Foad Taghdiri, Maria Carmela Tartaglia, James R. Kozloski
2019 J jnl
Optimal Network Parameter Estimation: Single-Shot Exchange of Local Decisions.
IEEE Signal Process. Lett.
Saurabh Sihag, Ali Tajer
2019 Misc conf
Sample Complexity of Joint Structure Learning.
ICASSP
Saurabh Sihag, Ali Tajer
2019 B conf
Secure Estimation under Causative Attacks.
ISIT
Saurabh Sihag, Ali Tajer
2019 B conf
Structure Learning of Similar Ising Models: Information-theoretic Bounds.
ISIT
Saurabh Sihag, Ali Tajer
2019 A* conf
Structure Learning with Side Information: Sample Complexity.
NeurIPS
Saurabh Sihag, Ali Tajer
2018 Misc conf
Distributed Estimation Under Network Model Uncertainty.
ICASSP
Saurabh Sihag, Ali Tajer
2018 — conf
Non-Linear State Estimation in Power Systems Under Model Uncertainty.
GlobalSIP
Saurabh Sihag, Ali Tajer
2018 J jnl
Power System State Estimation Under Model Uncertainty.
IEEE J. Sel. Top. Signal Process.
Saurabh Sihag, Ali Tajer
2018 Misc conf
Scalable Network Parameter Estimation in the Presence of Anomalies.
ICASSP
Saurabh Sihag, Ali Tajer
2018 J jnl
Secure Estimation under Causative Attacks.
CoRR
Saurabh Sihag, Ali Tajer
2018 Misc conf
Sequential estimation of distributed parameters in networks.
CISS
Saurabh Sihag, Javad Heydari, Ali Tajer
2017 — conf
Secure parameter estimation: Fundamental tradeoffs.
GlobalSIP
Saurabh Sihag, Ali Tajer
2015 J jnl
Faster method for Deep Belief Network based Object classification using DWT.
CoRR
Saurabh Sihag, Pranab Kumar Dutta