Gonzalo E. Mena

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #21,599 of 35,345 by trust here, #19,873 by citations
• Computer Vision and Pattern Recognition — 13 citations into it; #13,412 of 21,575 by trust here, #13,269 by citations
• Probabilistic & Bayesian Methods — 13 citations into it
• Generative Models — 6 citations into it

Whom Gonzalo E. Mena trusts overall

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

1. Diederik P. Kingma
2. Ronald J. Williams
3. Geoffrey E. Hinton
4. Aude Genevay
5. Alex Krizhevsky
6. Oriol Vinyals
7. Justin Domke
8. Ferenc Huszár
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Gonzalo E. Mena overall

1. Aditya Grover
2. Yue Wang
3. Wouter Kool
4. Jiatao Gu
5. Chris Cundy
6. Yi Tay
7. Guy Lorberbom
8. Max B. Paulus
9. Tri Dao
10. Chris J. Maddison

Papers from Gonzalo E. Mena's perspective

Ordered by how strongly the researchers Gonzalo E. Mena 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning Latent Permutations with Gumbel-Sinkhorn Networks (2018) — 344 citations