| 2024 | ICML | Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks. | Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro |
| 2023 | ICASSP | Predicting Brain Age Using Transferable Covariance Neural Networks. | Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro |
| 2022 | IJCAI | Summary Markov Models for Event Sequences. | Debarun Bhattacharjya, Saurabh Sihag, Oktie Hassanzadeh, Liza Bialik |
| 2021 | AISTATS | Learning Shared Subgraphs in Ising Model Pairs. | Burak Varici, Saurabh Sihag, Ali Tajer |
| 2021 | ICASSP | Two-Stage Graph-Constrained Group Testing: Theory and Application. | Saurabh Sihag, Ali Tajer, Urbashi Mitra |
| 2020 | ISIT | Approximate Recovery Of Ising Models with Side Information. | Saurabh Sihag, Ali Tajer |
| 2019 | ICASSP | Sample Complexity of Joint Structure Learning. | Saurabh Sihag, Ali Tajer |
| 2019 | ISIT | Structure Learning of Similar Ising Models: Information-theoretic Bounds. | Saurabh Sihag, Ali Tajer |
| 2019 | ISIT | Secure Estimation under Causative Attacks. | Saurabh Sihag, Ali Tajer |
| 2018 | CISS | Sequential estimation of distributed parameters in networks. | Saurabh Sihag, Javad Heydari, Ali Tajer |
| 2018 | ICASSP | Distributed Estimation Under Network Model Uncertainty. | Saurabh Sihag, Ali Tajer |
| 2018 | ICASSP | Scalable Network Parameter Estimation in the Presence of Anomalies. | Saurabh Sihag, Ali Tajer |