Rachel Grotheer

According to our database, Rachel Grotheer authored at least 12 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Stochastic Natural Thresholding Algorithms.

Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Automatic Infectious Disease Classification Analysis with Concept Discovery.

Elena Sizikova, Joshua Vendrow, Xu Cao, Rachel Grotheer, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Thomas Merkh, R. W. M. A. Madushani, Kenny Moise, Annie Ulichney, Huy V. Vo, Chuntian Wang, Megan Coffee, Kathryn Leonard, Deanna Needell

CoRR, 2022

2021

Semi-supervised Nonnegative Matrix Factorization for Document Classification.

Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Semi-supervised NMF Models for Topic Modeling in Learning Tasks.

Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard

CoRR, 2020

Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery.

Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin

Proceedings of the Information Theory and Applications Workshop, 2020

COVID-19 Literature Topic-Based Search via Hierarchical NMF.

Rachel Grotheer, Longxiu Huang, Yihuan Huang, Alona Kryshchenko, Oleksandr Kryshchenko, Pengyu Li, Xia Li, Elizaveta Rebrova, Kyung Ha, Deanna Needell

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

2019

Iterative Hard Thresholding for Low CP-rank Tensor Models.

Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin

CoRR, 2019

Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity.

Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Jointly Sparse Signal Recovery with Prior Info.

Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Compressed Anomaly Detection with Multiple Mixed Observations.

Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin

CoRR, 2018

2017

Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors.

Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin

CoRR, 2017

Stochastic Greedy Algorithms For Multiple Measurement Vectors.

Jing Qin, Shuang Li, Deanna Needell, Anna Ma, Rachel Grotheer, Chenxi Huang, Natalie Durgin

CoRR, 2017