336 citations · 1.7k across the 24 of their papers we have counts for
5 papers · 1 filter
GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint
Jianlin Su
We know SGAN may have a risk of gradient vanishing. A significant improvement is WGAN, with the help of 1-Lipschitz constraint on discriminator to prevent from gradient vanishing.…
Training Generative Adversarial Networks Via Turing Test
Jianlin Su
In this article, we introduce a new mode for training Generative Adversarial Networks (GANs). Rather than minimizing the distance of evidence distribution and the ge…
f-VAEs: Improve VAEs with Conditional Flows
Jianlin Su, Guang Wu
In this paper, we integrate VAEs and flow-based generative models successfully and get f-VAEs. Compared with VAEs, f-VAEs generate more vivid images, solved the blurred-image probl…
Variational Inference: A Unified Framework of Generative Models and Some Revelations
Jianlin Su
We reinterpreting the variational inference in a new perspective. Via this way, we can easily prove that EM algorithm, VAE, GAN, AAE, ALI(BiGAN) are all special cases of variationa…
Using deep Residual Networks to search for galaxy-Lyα emitter lens candidates based on spectroscopic-selection
Rui Li, Yiping Shu, Jianlin Su +4
More than one hundred galaxy-scale strong gravitational lens systems have been found by searching for the emission lines coming from galaxies with redshifts higher than the lens ga…