6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 6 cited
Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems
Luzhe Huang, Jianing Li, Xiaofu Ding +3
Uncertainty estimation is critical for numerous applications of deep neural networks and draws growing attention from researchers. Here, we demonstrate an uncertainty quantificatio…
cs.CL2022
Continuous Semi-Supervised Nonnegative Matrix Factorization
Michael R. Lindstrom, Xiaofu Ding, Feng Liu +2
Nonnegative matrix factorization can be used to automatically detect topics within a corpus in an unsupervised fashion. The technique amounts to an approximation of a nonnegative m…
stat.CO2022
Population-Based Hierarchical Non-negative Matrix Factorization for Survey Data
Xiaofu Ding, Xinyu Dong, Olivia McGough +6
Motivated by the problem of identifying potential hierarchical population structure on modern survey data containing a wide range of complex data types, we introduce population-bas…