| Score-based hypothesis testing for unnormalized models S Wu, E Diao, K Elkhalil, J Ding, V Tarokh IEEE Access 10, 71936-71950, 2022 | 10 | 2022 |
| On the information of feature maps and pruning of deep neural networks M Soltani, S Wu, J Ding, R Ravier, V Tarokh 2020 25th International Conference on Pattern Recognition (ICPR), 6988-6995, 2021 | 10 | 2021 |
| Quickest change detection for unnormalized statistical models S Wu, E Diao, T Banerjee, J Ding, V Tarokh IEEE Transactions on Information Theory, 2023 | 5 | 2023 |
| Score-based change point detection for unnormalized models S Wu, E Diao, T Banerjee, J Ding, V Tarokh International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 | 5 | 2023 |
| Multi-agent adversarial attacks for multi-channel communications J Dong, S Wu, M Sultani, V Tarokh arXiv preprint arXiv:2201.09149, 2022 | 5 | 2022 |
| Robust quickest change detection for unnormalized models S Wu, E Diao, J Ding, T Banerjee, V Tarokh Uncertainty in Artificial Intelligence, 2314-2323, 2023 | 4 | 2023 |
| Score-based quickest change detection for unnormalized models S Wu, E Diao, T Banerjee, J Ding, V Tarokh International Conference on Artificial Intelligence and Statistics, 10546-10565, 2023 | 4 | 2023 |
| Score-Based Approach to Analysis of Unnormalized Models and Applications S Wu Duke University, 2023 | 1 | 2023 |
| Minimax concave penalty regularized adaptive system identification B Li, S Wu, EE Tripp, A Pezeshki, V Tarokh arXiv preprint arXiv:2211.03903, 2022 | 1 | 2022 |
| Deep clustering of compressed variational embeddings S Wu, E Diao, J Ding, V Tarokh arXiv preprint arXiv:1910.10341, 2019 | 1 | 2019 |
| Robust Score-Based Quickest Change Detection S Moushegian, S Wu, E Diao, J Ding, T Banerjee, V Tarokh arXiv preprint arXiv:2407.11094, 2024 | | 2024 |
| Recursive Least Squares with Minimax Concave Penalty Regularization for Adaptive System Identification B Li, S Wu, EE Tripp, A Pezeshki, V Tarokh IEEE Access, 2024 | | 2024 |
| ColA: Collaborative Adaptation with Gradient Learning E Diao, Q Le, S Wu, X Wang, A Anwar, J Ding, V Tarokh arXiv preprint arXiv:2404.13844, 2024 | | 2024 |
| Cross-subject Mapping of Neural Activity with Restricted Boltzmann Machines M Angjelichinoski, S Wu, J Putney, S Sponberg, V Tarokh bioRxiv, 2023.04. 14.536854, 2023 | | 2023 |
| On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections M Soltani, S Wu, Y Li, J Ding, V Tarokh arXiv preprint arXiv:2201.11209, 2022 | | 2022 |
| Compressing Deep Networks Using Fisher Score of Feature Maps. M Soltani, S Wu, Y Li, RJ Ravier, J Ding, V Tarokh DCC, 371, 2021 | | 2021 |
| Cross-subject Mapping of Neural Activity with Restricted Boltzmann Machines H Yang, M Angjelichinoski, S Wu, J Putney, S Sponberg, V Tarokh | | |
| Robust Quickest Change Detection for Unnormalized Models (Supplementary Material) S Wu, E Diao, T Banerjee, J Ding, V Tarokh | | |
| Model-Free Energy Distance for Pruning DNNs M Soltani, S Wu, Y Li, J Ding, V Tarokh | | |
