Saurabh Sihag

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 34

Top Topics

Parameter Estimation

Top Venues

Publications

Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks. CoRR (2024)
Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro
Explainable Brain Age Prediction using coVariance Neural Networks. CoRR (2023)
Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
Learning Graph Structure from Convolutional Mixtures. Trans. Mach. Learn. Res. 2023 (2023)
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
Explainable Brain Age Prediction using coVariance Neural Networks. NeurIPS (2023)
Saurabh Sihag, Ali Tajer
Estimating Structurally Similar Graphical Models. IEEE Trans. Inf. Theory 69 (2) (2023)
Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro
Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features. CoRR (2023)
Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro
Neural Tangent Kernels Motivate Graph Neural Networks with Cross-Covariance Graphs. CoRR (2023)
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
Predicting Brain Age Using Transferable Covariance Neural Networks. ICASSP (2023)
Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik
Summary Markov Models for Event Sequences. IJCAI (2022)
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
Predicting Brain Age using Transferable coVariance Neural Networks. CoRR (2022)
Saurabh Sihag, Ali Tajer, Urbashi Mitra
Adaptive Graph-Constrained Group Testing. IEEE Trans. Signal Process. 70 (2022)
Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik
Summary Markov Models for Event Sequences. CoRR (2022)
Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro
Learning Graph Structure from Convolutional Mixtures. CoRR (2022)
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
coVariance Neural Networks. NeurIPS (2022)
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
coVariance Neural Networks. CoRR (2022)
Saurabh Sihag, Ali Tajer, Urbashi Mitra
Two-Stage Graph-Constrained Group Testing: Theory and Application. ICASSP (2021)
Burak Varici, Saurabh Sihag, Ali Tajer
Learning Shared Subgraphs in Ising Model Pairs. AISTATS (2021)
Saurabh Sihag, Ali Tajer
Approximate Recovery Of Ising Models with Side Information. ISIT (2020)
Saurabh Sihag, Sébastien Naze, Foad Taghdiri, Charles Tator, Richard Wennberg, David J. Mikulis, Robin Green, Brenda Colella, Maria Carmela Tartaglia, James R. Kozloski
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 6 (2020)
Saurabh Sihag, Ali Tajer
Secure Estimation Under Causative Attacks. IEEE Trans. Inf. Theory 66 (8) (2020)
Saurabh Sihag, Sébastien Naze, Foad Taghdiri, Maria Carmela Tartaglia, James R. Kozloski
GSP Analysis of Brain Imaging Data from Athletes with History of Multiple Concussions. GlobalSIP (2019)
Saurabh Sihag, Ali Tajer
Optimal Network Parameter Estimation: Single-Shot Exchange of Local Decisions. IEEE Signal Process. Lett. 26 (9) (2019)
Saurabh Sihag, Ali Tajer
Sample Complexity of Joint Structure Learning. ICASSP (2019)
Saurabh Sihag, Ali Tajer
Secure Estimation under Causative Attacks. ISIT (2019)
Saurabh Sihag, Ali Tajer
Structure Learning with Side Information: Sample Complexity. NeurIPS (2019)
Saurabh Sihag, Ali Tajer
Structure Learning of Similar Ising Models: Information-theoretic Bounds. ISIT (2019)
Saurabh Sihag, Ali Tajer
Power System State Estimation Under Model Uncertainty. IEEE J. Sel. Top. Signal Process. 12 (4) (2018)
Saurabh Sihag, Ali Tajer
Non-Linear State Estimation in Power Systems Under Model Uncertainty. GlobalSIP (2018)
Saurabh Sihag, Ali Tajer
Distributed Estimation Under Network Model Uncertainty. ICASSP (2018)
Saurabh Sihag, Javad Heydari, Ali Tajer
Sequential estimation of distributed parameters in networks. CISS (2018)
Saurabh Sihag, Ali Tajer
Scalable Network Parameter Estimation in the Presence of Anomalies. ICASSP (2018)
Saurabh Sihag, Ali Tajer
Secure Estimation under Causative Attacks. CoRR (2018)
Saurabh Sihag, Ali Tajer
Secure parameter estimation: Fundamental tradeoffs. GlobalSIP (2017)
Saurabh Sihag, Pranab Kumar Dutta
Faster method for Deep Belief Network based Object classification using DWT. CoRR (2015)