Ragavan Thurairatnam

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 89 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Generative Models — 32 citations into it
• Artificial Intelligence — 25 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Statistical and Nonlinear Physics — 9 citations into it
• Signal Processing — 6 citations into it

Whom Ragavan Thurairatnam trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Arash Vahdat
6. Tim Salimans
7. Rewon Child
8. Jimmy Ba
9. Kaiming He
10. Yann LeCun

Papers from Ragavan Thurairatnam's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Efficient-VDVAE: Less is more (2022) — 32 citations