Raj Derasari

Generative Models · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Generative Models — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it; #20,315 of 21,575 by trust here, #21,103 by citations
• Artificial Intelligence — 8 citations into it

Whom Raj Derasari trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma

Who trusts Raj Derasari overall

1. Sergey I. Nikolenko

Papers from Raj Derasari's perspective

Ordered by how strongly the researchers Raj Derasari trusts endorse each paper. Same corpus, a different order for every researcher.

1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
2. Semi-supervised Learning with Deep Generative Models
3. Conditional Generative Adversarial Nets
4. Generative Adversarial Networks
5. Scikit-learn: Machine Learning in Python
6. SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
9. Gradient-based learning applied to document recognition
10. ImageNet classification with deep convolutional neural networks

Their papers

• Correlated discrete data generation using adversarial training (2018) — 20 citations