Saurabh Sihag

According to our database, Saurabh Sihag authored at least 28 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks.

Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro

CoRR, 2024

Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks.

Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Estimating Structurally Similar Graphical Models.

Saurabh Sihag, Ali Tajer

IEEE Trans. Inf. Theory, February, 2023

Learning Graph Structure from Convolutional Mixtures.

Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro

Trans. Mach. Learn. Res., 2023

Neural Tangent Kernels Motivate Graph Neural Networks with Cross-Covariance Graphs.

Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro

CoRR, 2023

Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features.

Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro

CoRR, 2023

Explainable Brain Age Prediction using coVariance Neural Networks.

Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro

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

Predicting Brain Age Using Transferable Covariance Neural Networks.

Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Adaptive Graph-Constrained Group Testing.

Saurabh Sihag, Ali Tajer, Urbashi Mitra

IEEE Trans. Signal Process., 2022

coVariance Neural Networks.

Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Summary Markov Models for Event Sequences.

Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Two-Stage Graph-Constrained Group Testing: Theory and Application.

Saurabh Sihag, Ali Tajer, Urbashi Mitra

Proceedings of the IEEE International Conference on Acoustics, 2021

Learning Shared Subgraphs in Ising Model Pairs.

Burak Varici, Saurabh Sihag, Ali Tajer

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Multimodal Dynamic Brain Connectivity Analysis Based on Graph Signal Processing for Former Athletes With History of Multiple Concussions.

Saurabh Sihag, Sébastien Naze, Foad Taghdiri, Charles Tator, Richard Wennberg, David J. Mikulis, Robin Green, Brenda Colella, Maria Carmela Tartaglia, James R. Kozloski

IEEE Trans. Signal Inf. Process. over Networks, 2020

Secure Estimation Under Causative Attacks.

Saurabh Sihag, Ali Tajer

IEEE Trans. Inf. Theory, 2020

Approximate Recovery Of Ising Models with Side Information.

Saurabh Sihag, Ali Tajer

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Optimal Network Parameter Estimation: Single-Shot Exchange of Local Decisions.

Saurabh Sihag, Ali Tajer

IEEE Signal Process. Lett., 2019

Structure Learning with Side Information: Sample Complexity.

Saurabh Sihag, Ali Tajer

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

Structure Learning of Similar Ising Models: Information-theoretic Bounds.

Saurabh Sihag, Ali Tajer

Proceedings of the IEEE International Symposium on Information Theory, 2019

Sample Complexity of Joint Structure Learning.

Saurabh Sihag, Ali Tajer

Proceedings of the IEEE International Conference on Acoustics, 2019

GSP Analysis of Brain Imaging Data from Athletes with History of Multiple Concussions.

Saurabh Sihag, Sébastien Naze, Foad Taghdiri, Maria Carmela Tartaglia, James R. Kozloski

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018

Power System State Estimation Under Model Uncertainty.

Saurabh Sihag, Ali Tajer

IEEE J. Sel. Top. Signal Process., 2018

Scalable Network Parameter Estimation in the Presence of Anomalies.

Saurabh Sihag, Ali Tajer

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Distributed Estimation Under Network Model Uncertainty.

Saurabh Sihag, Ali Tajer

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Non-Linear State Estimation in Power Systems Under Model Uncertainty.

Saurabh Sihag, Ali Tajer

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Sequential estimation of distributed parameters in networks.

Saurabh Sihag, Javad Heydari, Ali Tajer

Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

2017

Secure parameter estimation: Fundamental tradeoffs.

Saurabh Sihag, Ali Tajer

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2015

Faster method for Deep Belief Network based Object classification using DWT.

Saurabh Sihag, Pranab Kumar Dutta

CoRR, 2015