Vladimir Jojic

Molecular Biology · 2004–2015

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 13 citations into it
• Genetics — 5 citations into it

Whom Vladimir Jojic trusts overall

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

1. Adam C. Siepel
2. Joseph Felsenstein
3. Radford M. Neal
4. David Haussler
5. Michael I. Jordan
6. Masami Hasegawa
7. Richard Durbin
8. Geoffrey E. Hinton
9. Jerome H. Friedman
10. Ziheng Yang

Papers from Vladimir Jojic's perspective

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

1. An Introduction to Variational Methods for Graphical Models
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Probabilistic reasoning in intelligent systems: Networks of plausible inference
6. A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Efficient approximations for learning phylogenetic HMM models from data (2004) — 44 citations
• Variation in the human immune system is largely driven by non-heritable influences (2015) — 990 citations
• Systems analysis of sex differences reveals an immunosuppressive role for testosterone in the response to influenza vaccination (2013) — 649 citations