Search Results for author:
Found 2 papers, 0 papers with code
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model
This study introduces an innovative method for analyzing the impact of various interventions on customer churn, using the potential outcomes framework.
Self-supervised Denoising via Low-rank Tensor Approximated Convolutional Neural Network
With the proposed design, we are able to characterize our denoiser with fewer parameters and train it based on a single image, which considerably improves the model generalizability and reduces the cost of data acquisition.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
