Statistical models are an essential tool to model, forecast and understa...
Scientists and statisticians often want to learn about the complex
relat...
Knowledge distillation (KD) has been actively studied for image
classifi...
Subsampling unconditional generative adversarial networks (GANs) to impr...
This work proposes the continuous conditional generative adversarial net...
Modern methods often formulate the counting of cells from microscopic im...
A computer code can simulate a system's propagation of variation from ra...
Computer models are used as replacements for physical experiments in a l...
We propose an algorithm for a family of optimization problems where the
...
Tomal et al. (2015) introduced the notion of "phalanxes" in the context ...
An ensemble of models (EM), where each model is constructed on a diverse...
Statistical detection of a rare class of objects in a two-class
classifi...