Rahul Patel

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; #20,300 of 21,575 by trust here, #21,103 by citations
• Artificial Intelligence — 8 citations into it

Whom Rahul Patel trusts

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

1. Diederik P. Kingma (in Artificial Intelligence)
2. Max Welling (in Artificial Intelligence)
3. Mehdi Mirza (in Computer Vision and Pattern Recognition)

Who trusts Rahul Patel

1. Sergey I. Nikolenko (in Computer Vision and Pattern Recognition)

Papers from Rahul Patel's perspective

Ordered by how strongly the researchers Rahul Patel 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. Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
8. Adversarial Generation of Natural Language
9. MaskGAN: Better Text Generation via Filling in the ______
10. Learning from Simulated and Unsupervised Images through Adversarial Training

Their papers

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