Publications by Hantian Zhang

We rst present an application where we helped our astrophysicist collaborators to recover features from articially degraded images with worse seeing and higher noise than the original with a performance which far exceeds simple deconvolution by training a generative adversarial network (GAN) on galaxy images. However, training time is limiting our potential to train on larger data sets. It takes 2 hours to train a GAN using 4105 galaxy images for 20 iterations on an NVIDIA TITAN X GPU. We ask the question: Can we speed up our machine learning training process by reducing the precision of data representation?...

@mastersthesis{abc,
	abstract = {We rst present an application where we helped our astrophysicist collaborators
to recover features from articially degraded images with worse
seeing and higher noise than the original with a performance which far exceeds
simple deconvolution by training a generative adversarial network
(GAN) on galaxy images. However, training time is limiting our potential
to train on larger data sets. It takes 2 hours to train a GAN using
4105 galaxy images for 20 iterations on an NVIDIA TITAN X GPU. We
ask the question: Can we speed up our machine learning training process
by reducing the precision of data representation?...},
	author = {Hantian  Zhang },
	school = {160},
	title = {The ZipML Framework for Training Models with End-to-End Low Precision},
	year = {2017}
}