Ashley Prater-Bennette

Orcid: 0000-0002-4272-423X

According to our database1, Ashley Prater-Bennette authored at least 30 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning.
CoRR, 2023

Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation.
CoRR, 2023

Multimodal Transformer for Material Segmentation.
CoRR, 2023

Model-Free Robust Average-Reward Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Robust Average-Reward Markov Decision Processes.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
The Proximity Operator of the Log-Sum Penalty.
J. Sci. Comput., 2022

Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements.
J. Mach. Learn. Res., 2022

Instantaneous Frequency-Embedded Synchrosqueezing Transform for Signal Separation.
Frontiers Appl. Math. Stat., 2022

Incremental Task Learning with Incremental Rank Updates.
Proceedings of the Computer Vision - ECCV 2022, 2022

Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Dynamic L1-Norm Tucker Tensor Decomposition.
IEEE J. Sel. Top. Signal Process., 2021

Convolutional Auto-Encoder with Tensor-Train Factorization.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Improved L1-Tucker via L1-Fitting.
Proceedings of the 29th European Signal Processing Conference, 2021

Collaborative Direction-of-Arrival Estimation Exploiting One-Bit Cross-Correlations.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
L1-Norm Higher-Order Orthogonal Iterations for Robust Tensor Analysis.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Low-Rank Tensor Ring Model for Completing Missing Visual Data.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
L1-Norm Tucker Tensor Decomposition.
IEEE Access, 2019

Multilinear Compressive Sensing With Tensor Ring Factorization.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Randomness and isometries in echo state networks and compressed sensing.
CoRR, 2018

Sparse Tensor Recovery via N-Mode FISTA with Support Augmentation.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

L1-Norm Higher-Order Singular-Value Decomposition.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
Spatiotemporal signal classification via principal components of reservoir states.
Neural Networks, 2017

Classification via tensor decompositions of echo state networks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Fine tuning lasso in an adversarial environment against gradient attacks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Reservoir computing for spatiotemporal signal classification without trained output weights.
CoRR, 2016

2015
Separation of undersampled composite signals using the Dantzig selector with overcomplete dictionaries.
IET Signal Process., 2015

Finding Dantzig selectors with a proximity operator based fixed-point algorithm.
Comput. Stat. Data Anal., 2015

Overcomplete tensor decomposition via convex optimization.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Sparse generalized Fourier series via collocation-based optimization.
Proceedings of the 2014 IEEE Applied Imagery Pattern Recognition Workshop, 2014


  Loading...