Sparse generalized Fourier series via collocation-based optimization. - Ashley Prater (AIPR, 2014)

Overcomplete tensor decomposition via convex optimization. - Qiuwei Li; Ashley Prater; Lixin Shen; Gongguo Tang (CAMSAP, 2015)

Finding Dantzig selectors with a proximity operator based fixed-point algorithm. - Ashley Prater; Lixin Shen; Bruce W. Suter (Comput. Stat. Data Anal., 2015)

Separation of undersampled composite signals using the Dantzig selector with overcomplete dictionaries. - Ashley Prater; Lixin Shen (IET Signal Process., 2015)

Reservoir computing for spatiotemporal signal classification without trained output weights. - Ashley Prater (CoRR, 2016)

Fine tuning lasso in an adversarial environment against gradient attacks. - Gregory Ditzler; Ashley Prater (SSCI, 2017)

Classification via tensor decompositions of echo state networks. - Ashley Prater (SSCI, 2017)

Spatiotemporal signal classification via principal components of reservoir states. - Ashley Prater (Neural Networks, 2017)

L1-Norm Higher-Order Singular-Value Decomposition. - Panos P. Markopoulos; Dimitris G. Chachlakis; Ashley Prater-Bennette (GlobalSIP, 2018)

Sparse Tensor Recovery via N-Mode FISTA with Support Augmentation. - Ashley Prater-Bennette; Lixin Shen (GlobalSIP, 2018)

Randomness and isometries in echo state networks and compressed sensing. - Ashley Prater-Bennette (CoRR, 2018)

Multilinear Compressive Sensing With Tensor Ring Factorization. - M. Salman Asif; Ashley Prater-Bennette (ICIP, 2019)

L1-Norm Tucker Tensor Decomposition. - Dimitris G. Chachlakis; Ashley Prater-Bennette; Panos P. Markopoulos (IEEE Access, 2019)

Low-Rank Tensor Ring Model for Completing Missing Visual Data. - M. Salman Asif; Ashley Prater-Bennette (ICASSP, 2020)

L1-Norm Higher-Order Orthogonal Iterations for Robust Tensor Analysis. - Dimitris G. Chachlakis; Ashley Prater-Bennette; Panos P. Markopoulos (ICASSP, 2020)

Collaborative Direction-of-Arrival Estimation Exploiting One-Bit Cross-Correlations. - Yimin D. Zhang; Ashley Prater-Bennette (ACSCC, 2021)

Improved L1-Tucker via L1-Fitting. - Mahsa Mozaffari; Panos P. Markopoulos; Ashley Prater-Bennette (EUSIPCO, 2021)

Convolutional Auto-Encoder with Tensor-Train Factorization. - Manish Sharma; Panos P. Markopoulos; Eli Saber; M. Salman Asif; Ashley Prater-Bennette (ICCVW, 2021)

Dynamic L1-Norm Tucker Tensor Decomposition. - Dimitris G. Chachlakis; Mayur Dhanaraj; Ashley Prater-Bennette; Panos P. Markopoulos (IEEE J. Sel. Top. Signal Process., 2021)

Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion. - Tian Tong; Cong Ma 001; Ashley Prater-Bennette; Erin E. Tripp; Yuejie Chi (AISTATS, 2022)

Incremental Task Learning with Incremental Rank Updates. - Rakib Hyder; Ken Shao; Boyu Hou; Panos P. Markopoulos; Ashley Prater-Bennette; M. Salman Asif (ECCV (23), 2022)

Instantaneous Frequency-Embedded Synchrosqueezing Transform for Signal Separation. - Qingtang Jiang; Ashley Prater-Bennette; Bruce W. Suter; Abdelbaset Zeyani (Frontiers Appl. Math. Stat., 2022)

Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements. - Tian Tong; Cong Ma 001; Ashley Prater-Bennette; Erin E. Tripp; Yuejie Chi (J. Mach. Learn. Res., 2022)

The Proximity Operator of the Log-Sum Penalty. - Ashley Prater-Bennette; Lixin Shen; Erin E. Tripp (J. Sci. Comput., 2022)

Robust Average-Reward Markov Decision Processes. - Yue Wang 068; Alvaro Velasquez; George K. Atia; Ashley Prater-Bennette; Shaofeng Zou (AAAI, 2023)

Model-Free Robust Average-Reward Reinforcement Learning. - Yue Wang 068; Alvaro Velasquez; George K. Atia; Ashley Prater-Bennette; Shaofeng Zou (ICML, 2023)

Multimodal Transformer for Material Segmentation. - Md Kaykobad Reza; Ashley Prater-Bennette; M. Salman Asif (CoRR, 2023)

Factorized Tensor Networks for Multi-Task and Multi-Domain Learning. - Yash Garg; Nebiyou Yismaw; Rakib Hyder; Ashley Prater-Bennette; M. Salman Asif (CoRR, 2023)

Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. - Qi Zhang 069; Yi Zhou 017; Ashley Prater-Bennette; Lixin Shen; Shaofeng Zou (AAAI, 2024)

Continual Learning in Convolutional Neural Networks with Tensor Rank Updates. - Matt Krol; Rakib Hyder; Michael Peechatt; Ashley Prater-Bennette; M. Salman Asif; Panos P. Markopoulos (SAM, 2024)

Robust Average-Reward Reinforcement Learning. - Yue Wang 068; Alvaro Velasquez; George K. Atia; Ashley Prater-Bennette; Shaofeng Zou (J. Artif. Intell. Res., 2024)

Revisiting Large-Scale Non-convex Distributionally Robust Optimization. - Qi Zhang 069; Yi Zhou 017; Simon Khan; Ashley Prater-Bennette; Lixin Shen; Shaofeng Zou (ICLR, 2025)

Sparse Recovery: The Square of ℓ 1/ℓ 2 Norms. - Jianqing Jia; Ashley Prater-Bennette; Lixin Shen; Erin E. Tripp (J. Sci. Comput., 2025)

Robust Multimodal Learning With Missing Modalities via Parameter-Efficient Adaptation. - Md Kaykobad Reza; Ashley Prater-Bennette; M. Salman Asif (IEEE Trans. Pattern Anal. Mach. Intell., 2025)