| Scaling and scalability: Provable nonconvex low-rank tensor estimation from incomplete measurements T Tong, C Ma, A Prater-Bennette, E Tripp, Y Chi Journal of Machine Learning Research 23 (163), 1-77, 2022 | 52 | 2022 |
| L1-norm Tucker Tensor Decomposition DG Chachlakis, A Prater-Bennette, PP Markopoulos IEEE Access 7, 178454-178465, 2019 | 52 | 2019 |
| Dynamic L1-norm Tucker tensor decomposition DG Chachlakis, M Dhanaraj, A Prater-Bennette, PP Markopoulos IEEE Journal of Selected Topics in Signal Processing 15 (3), 587-602, 2021 | 28 | 2021 |
| Overcomplete tensor decomposition via convex optimization Q Li, A Prater, L Shen, G Tang 2015 IEEE 6th International Workshop on Computational Advances in Multi …, 2015 | 23 | 2015 |
| L1-NORM HIGHER-ORDER SINGULAR-VALUE DECOMPOSITION PP Markopoulos, DG Chachlakis, A Prater-Bennette 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 22 | 2018 |
| Spatiotemporal signal classification via principal components of reservoir states A Prater Neural Networks 91, 66-75, 2017 | 16 | 2017 |
| The Proximity Operator of the Log-Sum Penalty A Prater-Bennette, L Shen, EE Tripp Journal of Scientific Computing 93 (3), 67, 2022 | 15 | 2022 |
| Incremental task learning with incremental rank updates R Hyder, K Shao, B Hou, P Markopoulos, A Prater-Bennette, MS Asif European Conference on Computer Vision, 566-582, 2022 | 15 | 2022 |
| L1-Norm Higher-Order Orthogonal Iterations for Robust Tensor Analysis DG Chachlakis, A Prater-Bennette, PP Markopoulos ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 14 | 2020 |
| Options for multimodal classification based on L1-Tucker decomposition DG Chachlakis, M Dhanaraj, A Prater-Bennette, PP Markopoulos Big Data: Learning, Analytics, and Applications 10989, 177-189, 2019 | 13 | 2019 |
| Robust average-reward Markov decision processes Y Wang, A Velasquez, G Atia, A Prater-Bennette, S Zou Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 15215 …, 2023 | 11 | 2023 |
| Convolutional Auto-Encoder With Tensor-Train Factorization M Sharma, PP Markopoulos, E Saber, MS Asif, A Prater-Bennette Proceedings of the IEEE/CVF International Conference on Computer Vision, 198-206, 2021 | 11 | 2021 |
| Model-Free Robust Average-Reward Reinforcement Learning Y Wang, A Velasquez, GK Atia, A Prater-Bennette, S Zou International Conference on Machine Learning, 36431-36469, 2023 | 10 | 2023 |
| Comparison of echo state network output layer classification methods on noisy data AA Prater 2017 International Joint Conference on Neural Networks (IJCNN), 2644-2651, 2017 | 9 | 2017 |
| Low-Rank Tensor Ring Model for Completing Missing Visual Data MS Asif, A Prater-Bennette ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 8 | 2020 |
| Classification via tensor decompositions of echo state networks A Prater 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 8 | 2017 |
| Finding Dantzig selectors with a proximity operator based fixed-point algorithm A Prater, L Shen, BW Suter Computational Statistics & Data Analysis 90, 36-46, 2015 | 8 | 2015 |
| MMSFormer: Multimodal Transformer for Material and Semantic Segmentation MK Reza, A Prater-Bennette, MS Asif IEEE Open Journal of Signal Processing, 2024 | 7 | 2024 |
| A constructive approach for computing the proximity operator of the p-th power of the ℓ1 norm A Prater-Bennette, L Shen, EE Tripp Applied and Computational Harmonic Analysis 67, 101572, 2023 | 7 | 2023 |
| Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation MK Reza, A Prater-Bennette, MS Asif arXiv preprint arXiv:2310.03986, 2023 | 7 | 2023 |
