Search Results for author:
Found 4 papers, 3 papers with code
Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis
In this paper, we introduce Fairy, a minimalist yet robust adaptation of image-editing diffusion models, enhancing them for video editing applications.
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
To offer theoretical insight into our algorithm, we show firstly that it can be interpreted as a form of expectation-maximisation, and secondly that it exhibits a desirable `self-correcting' property.
DeepCENT: Prediction of Censored Event Time via Deep Learning
With the rapid advances of deep learning, many computational methods have been developed to analyze nonlinear and complex right censored data via deep learning approaches.
Deep Learning for Quantile Regression under Right Censoring: DeepQuantreg
This paper presents a novel application of the neural network to the quantile regression for survival data with right censoring, which is adjusted by the inverse of the estimated censoring distribution in the check function.
