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researcher

V. Gokul

5 papers hereh-index 5104 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.SD2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20172024
most citedDeep Learning for Skin Lesion Classification

25 citations · 35 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2021★ 7 cited

Bias-Free FedGAN: A Federated Approach to Generate Bias-Free Datasets

Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal +1

Federated Generative Adversarial Network (FedGAN) is a communication-efficient approach to train a GAN across distributed clients without clients having to share their sensitive tr…

cs.LG2020★ 3 cited

DPD-InfoGAN: Differentially Private Distributed InfoGAN

Vaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal +1

Generative Adversarial Networks (GANs) are deep learning architectures capable of generating synthetic datasets. Despite producing high-quality synthetic images, the default GAN ha…

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