Pablo M. Olmos

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #19,062 of 21,575 by trust here, #18,266 by citations
• Generative Models — 23 citations into it
• Artificial Intelligence — 19 citations into it; #31,041 of 35,345 by trust here, #28,481 by citations

Whom Pablo M. Olmos trusts overall

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

1. Diederik P. Kingma
2. Max Welling
3. Geoffrey E. Hinton
4. J. Tomczak
5. Yoshua Bengio
6. Ruslan Salakhutdinov
7. Alex Krizhevsky
8. Yuri Burda
9. Kihyuk Sohn
10. Eric Jang

Who trusts Pablo M. Olmos overall

1. Pierre-Alexandre Mattei
2. Amir-Hossein Karimi
3. Vincent Fortuin
4. Shalmali Joshi

Papers from Pablo M. Olmos's perspective

Ordered by how strongly the researchers Pablo M. Olmos 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. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Handling Incomplete Heterogeneous Data using VAEs (2018) — 449 citations