| Anomalous example detection in deep learning: A survey S Bulusu, B Kailkhura, B Li, PK Varshney, D Song IEEE Access 8, 132330-132347, 2020 | 218 | 2020 |
| Anomalous instance detection in deep learning: A survey S Bulusu, B Kailkhura, B Li, P Varshney, D Song Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2020 | 64 | 2020 |
| Rate adaptation, scheduling, and mode selection in D2D systems with partial channel knowledge S Bulusu, NB Mehta, S Kalyanasundaram IEEE Transactions on Wireless Communications 17 (2), 1053-1065, 2017 | 27 | 2017 |
| Parallel Restarted SPIDER--Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity P Sharma, S Kafle, P Khanduri, S Bulusu, K Rajawat, PK Varshney arXiv preprint arXiv:1912.06036, 2019 | 20 | 2019 |
| Byzantine resilient non-convex svrg with distributed batch gradient computations P Khanduri, S Bulusu, P Sharma, PK Varshney arXiv preprint arXiv:1912.04531, 2019 | 12 | 2019 |
| On distributed stochastic gradient descent for nonconvex functions in the presence of byzantines S Bulusu, P Khanduri, P Sharma, PK Varshney ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 10 | 2020 |
| Distributed stochastic non-convex optimization: Momentum-based variance reduction P Khanduri, P Sharma, S Kafle, S Bulusu, K Rajawat, PK Varshney arXiv preprint arXiv:2005.00224, 2020 | 7 | 2020 |
| On ordered transmission based distributed gaussian shift-in-mean detection under byzantine attacks C Quan, S Bulusu, B Geng, YS Han, N Sriranga, PK Varshney IEEE Transactions on Signal Processing 71, 3343-3356, 2023 | 6 | 2023 |
| Byzantine resilient non-convex SCSG with distributed batch gradient computations S Bulusu, P Khanduri, S Kafle, P Sharma, PK Varshney IEEE Transactions on Signal and Information Processing over Networks 7, 754-766, 2021 | 4 | 2021 |
| On convex stochastic variance reduced gradient for adversarial machine learning S Bulusu, Q Li, PK Varshney 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019 | 4 | 2019 |
| Ordered transmission-based detection in distributed networks in the presence of Byzantines C Quan, S Bulusu, B Geng, PK Varshney arXiv preprint arXiv:2201.08737, 2022 | 3 | 2022 |
| Byzantine resilient distributed clustering with redundant data assignment S Bulusu, V Gandikota, A Mazumdar, AS Rawat, PK Varshney 2021 IEEE International Symposium on Information Theory (ISIT), 2143-2148, 2021 | 3 | 2021 |
| Algorithms for change detection with unknown number of affected sensors PS Kumar, BS Kiran, AP Kannu, S Bhashyam 2013 National Conference on Communications (NCC), 1-5, 2013 | 2 | 2013 |
| Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining D Sow, H Woisetschläger, S Bulusu, S Wang, HA Jacobsen, Y Liang arXiv preprint arXiv:2502.06733, 2025 | | 2025 |
| Robust Distributed Clustering with Redundant Data Assignment S Bulusu, V Gandikota, A Mazumdar, AS Rawat, PK Varshney IEEE Transactions on Information Theory, 2025 | | 2025 |
| On Distributed and Asynchronous Sampling of Gaussian Processes for Sequential Binary Hypothesis Testing N Sriranga, S Bulusu, B Geng, PK Varshney arXiv preprint arXiv:2309.07855, 2023 | | 2023 |
| 1-Bit Compressed Sensing with Local Sparsity Patterns S Bulusu, V Gandikota, PK Varshney 2023 IEEE International Symposium on Information Theory (ISIT), 1172-1177, 2023 | | 2023 |
| On Robust Machine Learning in the Presence of Adversaries S Bulusu Syracuse University, 2023 | | 2023 |
| Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers S Bulusu, G Joseph, MC Gursoy, P Varshney | | 2022 |
| Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers S Bulusu, G Joseph, MC Gursoy, P Varshney Advances in Neural Information Processing Systems 35, 10959--10969, 2022 | | 2022 |
Pramod VarshneyDistinguished Professor of EECS, Syracuse UniversityПідтверджена електронна адреса в syr.edu
