Traiko Dinev

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #34,338 of 35,345 by trust here, #30,347 by citations
• Statistics and Probability — 12 citations into it; #12,705 of 12,932 by trust here, #9,714 by citations
• Probabilistic & Bayesian Methods — 8 citations into it; #1,493 of 1,525 by trust here, #1,365 by citations

Whom Traiko Dinev trusts overall

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

1. Simon N. Wood
2. D. Wilks
3. Michael U Gutmann
4. Scott Anthony Sisson
5. Paul Fearnhead
6. Peter J. Diggle
7. George Papamakarios
8. Jerome H. Friedman
9. Michael G. B. Blum
10. MARK A. Beaumont

Who trusts Traiko Dinev overall

1. Owen Thomas
2. J. Brehmer
3. Ritabrata Dutta
4. Joeri Hermans
5. David S. Greenberg

Papers from Traiko Dinev's perspective

Ordered by how strongly the researchers Traiko Dinev 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Dynamic Likelihood-free Inference via Ratio Estimation (DIRE) (2018) — 27 citations