13 citations · 13 across the 2 of their papers we have counts for
4 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…
Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search
Prashant Pandey, Prathosh AP, Vinay Kyatham +2
Automating the classification of camera-obtained microscopic images of White Blood Cells (WBCs) and related cell subtypes has assumed importance since it aids the laborious manual…
Variational Inference with Latent Space Quantization for Adversarial Resilience
Vinay Kyatham, Mayank Mishra, Tarun Kumar Yadav +2
Despite their tremendous success in modelling high-dimensional data manifolds, deep neural networks suffer from the threat of adversarial attacks - Existence of perceptually valid…
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…