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Saurabh Sihag
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2020 – today
- 2024
- [c18]Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro:
Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks. ICML 2024 - [i10]Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro:
Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks. CoRR abs/2402.07684 (2024) - 2023
- [j7]Saurabh Sihag
, Ali Tajer
Estimating Structurally Similar Graphical Models. IEEE Trans. Inf. Theory 69(2): 1093-1124 (2023) - [j6]Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro:
Learning Graph Structure from Convolutional Mixtures. Trans. Mach. Learn. Res. 2023 (2023) - [c17]Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro:
Predicting Brain Age Using Transferable Covariance Neural Networks. ICASSP 2023: 1-5 - [c16]Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro:
Explainable Brain Age Prediction using coVariance Neural Networks. NeurIPS 2023 - [i9]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 abs/2305.01807 (2023) - [i8]Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro:
Explainable Brain Age Prediction using coVariance Neural Networks. CoRR abs/2305.18370 (2023) - [i7]Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro:
Neural Tangent Kernels Motivate Graph Neural Networks with Cross-Covariance Graphs. CoRR abs/2310.10791 (2023) - 2022
- [j5]Saurabh Sihag
Adaptive Graph-Constrained Group Testing. IEEE Trans. Signal Process. 70: 381-396 (2022) - [c15]Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik:
Summary Markov Models for Event Sequences. IJCAI 2022: 4836-4842 - [c14]Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro:
coVariance Neural Networks. NeurIPS 2022 - [i6]Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh
Summary Markov Models for Event Sequences. CoRR abs/2205.03375 (2022) - [i5]Max Wasserman, Saurabh Sihag, Gonzalo Mateos
Learning Graph Structure from Convolutional Mixtures. CoRR abs/2205.09575 (2022) - [i4]Saurabh Sihag, Gonzalo Mateos
coVariance Neural Networks. CoRR abs/2205.15856 (2022) - [i3]Saurabh Sihag, Gonzalo Mateos
Predicting Brain Age using Transferable coVariance Neural Networks. CoRR abs/2210.16363 (2022) - 2021
- [c13]Burak Varici, Saurabh Sihag, Ali Tajer:
Learning Shared Subgraphs in Ising Model Pairs. AISTATS 2021: 3952-3960 - [c12]Saurabh Sihag
Two-Stage Graph-Constrained Group Testing: Theory and Application. ICASSP 2021: 5494-5498 - 2020
- [j4]Saurabh Sihag
Secure Estimation Under Causative Attacks. IEEE Trans. Inf. Theory 66(8): 5145-5166 (2020) - [j3]Saurabh Sihag
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: 284-299 (2020) - [c11]Saurabh Sihag
Approximate Recovery Of Ising Models with Side Information. ISIT 2020: 1319-1324
2010 – 2019
- 2019
- [j2]Saurabh Sihag
Optimal Network Parameter Estimation: Single-Shot Exchange of Local Decisions. IEEE Signal Process. Lett. 26(9): 1280-1284 (2019) - [c10]Saurabh Sihag
GSP Analysis of Brain Imaging Data from Athletes with History of Multiple Concussions. GlobalSIP 2019: 1-5 - [c9]Saurabh Sihag
Sample Complexity of Joint Structure Learning. ICASSP 2019: 5292-5296 - [c8]Saurabh Sihag
Structure Learning of Similar Ising Models: Information-theoretic Bounds. ISIT 2019: 1307-1311 - [c7]Saurabh Sihag
Secure Estimation under Causative Attacks. ISIT 2019: 2344-2348 - [c6]Saurabh Sihag, Ali Tajer:
Structure Learning with Side Information: Sample Complexity. NeurIPS 2019: 14357-14367 - 2018
- [j1]Saurabh Sihag
Power System State Estimation Under Model Uncertainty. IEEE J. Sel. Top. Signal Process. 12(4): 593-606 (2018) - [c5]Saurabh Sihag
Sequential estimation of distributed parameters in networks. CISS 2018: 1-5 - [c4]Saurabh Sihag
Non-Linear State Estimation in Power Systems Under Model Uncertainty. GlobalSIP 2018: 897-901 - [c3]Saurabh Sihag
Distributed Estimation Under Network Model Uncertainty. ICASSP 2018: 3569-3573 - [c2]Saurabh Sihag
Scalable Network Parameter Estimation in the Presence of Anomalies. ICASSP 2018: 6922-6926 - [i2]Saurabh Sihag, Ali Tajer:
Secure Estimation under Causative Attacks. CoRR abs/1812.10569 (2018) - 2017
- [c1]Saurabh Sihag
Secure parameter estimation: Fundamental tradeoffs. GlobalSIP 2017: 482-486 - 2015
- [i1]Saurabh Sihag, Pranab Kumar Dutta:
Faster method for Deep Belief Network based Object classification using DWT. CoRR abs/1511.06276 (2015)
Coauthor Index
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