13 citations · 17 across the 3 of their papers we have counts for
3 papers
Effect of The Latent Structure on Clustering with GANs
Deepak Mishra, Aravind Jayendran, Prathosh A. P
Generative adversarial networks (GANs) have shown remarkable success in generation of data from natural data manifolds such as images. In several scenarios, it is desirable that ge…
MaskAAE: Latent space optimization for Adversarial Auto-Encoders
Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran +3
The field of neural generative models is dominated by the highly successful Generative Adversarial Networks (GANs) despite their challenges, such as training instability and mode c…
Mode matching in GANs through latent space learning and inversion
Deepak Mishra, Prathosh A. P., Aravind Jayendran +2
Generative adversarial networks (GANs) have shown remarkable success in generation of unstructured data, such as, natural images. However, discovery and separation of modes in the…