Stefan T. Radev

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Statistics and Probability — 7 citations into it
• Generative Models — 6 citations into it

Whom Stefan T. Radev trusts overall

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

1. Diederik P. Kingma
2. George Papamakarios
3. MARK A. Beaumont
4. Simon N. Wood
5. John K. Kruschke
6. Geoffrey E. Hinton
7. Max Welling
8. Alex Kendall
9. Iain Murray
10. Benjamin Bloem-Reddy

Papers from Stefan T. Radev's perspective

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

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

Their papers

• BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks (2020) — 297 citations