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2020 – today
- 2025
[j10]Jianqing Jia, Ashley Prater-Bennette, Lixin Shen, Erin E. Tripp:
Sparse Recovery: The Square of ℓ 1/ℓ 2 Norms. J. Sci. Comput. 102(1): 24 (2025)- 2024
- [j9]Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Robust Average-Reward Reinforcement Learning. J. Artif. Intell. Res. 80: 719-803 (2024) - [c18]Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou:
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. AAAI 2024: 8217-8225 - [c17]Matt Krol, Rakib Hyder, Michael Peechatt, Ashley Prater-Bennette, M. Salman Asif, Panos P. Markopoulos:
Continual Learning in Convolutional Neural Networks with Tensor Rank Updates. SAM 2024: 1-5 - [i14]Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou:
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. CoRR abs/2404.01200 (2024) - 2023
- [c16]Yue Wang
, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Robust Average-Reward Markov Decision Processes. AAAI 2023: 15215-15223 - [c15]Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Model-Free Robust Average-Reward Reinforcement Learning. ICML 2023: 36431-36469 - [i13]Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Robust Average-Reward Markov Decision Processes. CoRR abs/2301.00858 (2023) - [i12]Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Model-Free Robust Average-Reward Reinforcement Learning. CoRR abs/2305.10504 (2023) - [i11]Md Kaykobad Reza, Ashley Prater-Bennette, M. Salman Asif:
Multimodal Transformer for Material Segmentation. CoRR abs/2309.04001 (2023) - [i10]Md Kaykobad Reza, Ashley Prater-Bennette, M. Salman Asif:
Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation. CoRR abs/2310.03986 (2023) - [i9]Yash Garg, Nebiyou Yismaw, Rakib Hyder, Ashley Prater-Bennette, M. Salman Asif:
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning. CoRR abs/2310.06124 (2023) - 2022
- [j8]Qingtang Jiang, Ashley Prater-Bennette, Bruce W. Suter, Abdelbaset Zeyani:
Instantaneous Frequency-Embedded Synchrosqueezing Transform for Signal Separation. Frontiers Appl. Math. Stat. 8: 830530 (2022) - [j7]Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi:
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements. J. Mach. Learn. Res. 23: 163:1-163:77 (2022) - [j6]Ashley Prater-Bennette, Lixin Shen, Erin E. Tripp:
The Proximity Operator of the Log-Sum Penalty. J. Sci. Comput. 93(2): 67 (2022) - [c14]Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi:
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion. AISTATS 2022: 2607-2617 - [c13]Rakib Hyder, Ken Shao, Boyu Hou, Panos P. Markopoulos, Ashley Prater-Bennette, M. Salman Asif:
Incremental Task Learning with Incremental Rank Updates. ECCV (23) 2022: 566-582 - [i8]Rakib Hyder, Ken Shao, Boyu Hou, Panos P. Markopoulos, Ashley Prater-Bennette, M. Salman Asif:
Incremental Task Learning with Incremental Rank Updates. CoRR abs/2207.09074 (2022) - 2021
- [j5]Dimitris G. Chachlakis, Mayur Dhanaraj, Ashley Prater-Bennette, Panos P. Markopoulos:
Dynamic L1-Norm Tucker Tensor Decomposition. IEEE J. Sel. Top. Signal Process. 15(3): 587-602 (2021) - [c12]Yimin D. Zhang, Ashley Prater-Bennette:
Collaborative Direction-of-Arrival Estimation Exploiting One-Bit Cross-Correlations. ACSCC 2021: 236-240 - [c11]Mahsa Mozaffari, Panos P. Markopoulos, Ashley Prater-Bennette:
Improved L1-Tucker via L1-Fitting. EUSIPCO 2021: 1075-1079 - [c10]Manish Sharma, Panos P. Markopoulos, Eli Saber, M. Salman Asif, Ashley Prater-Bennette:
Convolutional Auto-Encoder with Tensor-Train Factorization. ICCVW 2021: 198-206 - [i7]Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi:
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements. CoRR abs/2104.14526 (2021) - 2020
- [c9]Dimitris G. Chachlakis, Ashley Prater-Bennette, Panos P. Markopoulos:
L1-Norm Higher-Order Orthogonal Iterations for Robust Tensor Analysis. ICASSP 2020: 4826-4830 - [c8]M. Salman Asif, Ashley Prater-Bennette:
Low-Rank Tensor Ring Model for Completing Missing Visual Data. ICASSP 2020: 5415-5419
2010 – 2019
- 2019
- [j4]Dimitris G. Chachlakis, Ashley Prater-Bennette, Panos P. Markopoulos:
L1-Norm Tucker Tensor Decomposition. IEEE Access 7: 178454-178465 (2019) - [c7]M. Salman Asif, Ashley Prater-Bennette:
Multilinear Compressive Sensing With Tensor Ring Factorization. ICIP 2019: 2100-2104 - [i6]Dimitris G. Chachlakis, Ashley Prater-Bennette, Panos P. Markopoulos:
L1-norm Tucker Tensor Decomposition. CoRR abs/1904.06455 (2019) - 2018
- [c6]Panos P. Markopoulos, Dimitris G. Chachlakis, Ashley Prater-Bennette:
L1-Norm Higher-Order Singular-Value Decomposition. GlobalSIP 2018: 1353-1357 - [c5]Ashley Prater-Bennette, Lixin Shen:
Sparse Tensor Recovery via N-Mode FISTA with Support Augmentation. GlobalSIP 2018: 1363-1367 - [i5]Ashley Prater-Bennette:
Randomness and isometries in echo state networks and compressed sensing. CoRR abs/1802.01381 (2018) - [i4]Ashley Prater-Bennette, Lixin Shen:
Sparse tensor recovery via N-mode FISTA with support augmentation. CoRR abs/1807.03109 (2018) - 2017
- [j3]Ashley Prater:
Spatiotemporal signal classification via principal components of reservoir states. Neural Networks 91: 66-75 (2017) - [c4]Gregory Ditzler, Ashley Prater:
Fine tuning lasso in an adversarial environment against gradient attacks. SSCI 2017: 1-7 - [c3]Ashley Prater:
Classification via tensor decompositions of echo state networks. SSCI 2017: 1-8 - [i3]Ashley Prater:
Classification via Tensor Decompositions of Echo State Networks. CoRR abs/1708.07147 (2017) - 2016
- [i2]Qiuwei Li, Ashley Prater, Lixin Shen, Gongguo Tang:
Overcomplete Tensor Decomposition via Convex Optimization. CoRR abs/1602.08614 (2016) - [i1]Ashley Prater:
Reservoir computing for spatiotemporal signal classification without trained output weights. CoRR abs/1604.03073 (2016) - 2015
- [j2]Ashley Prater, Lixin Shen, Bruce W. Suter:
Finding Dantzig selectors with a proximity operator based fixed-point algorithm. Comput. Stat. Data Anal. 90: 36-46 (2015) - [j1]Ashley Prater, Lixin Shen:
Separation of undersampled composite signals using the Dantzig selector with overcomplete dictionaries. IET Signal Process. 9(3): 226-234 (2015) - [c2]Qiuwei Li, Ashley Prater, Lixin Shen, Gongguo Tang:
Overcomplete tensor decomposition via convex optimization. CAMSAP 2015: 53-56 - 2014
- [c1]Ashley Prater:
Sparse generalized Fourier series via collocation-based optimization. AIPR 2014: 1-8
Coauthor Index
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