D. Araújo

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #21,559 of 35,345 by trust here, #29,412 by citations
• Scaling & Learning Theory — 11 citations into it
• Statistical and Nonlinear Physics — 7 citations into it

Whom D. Araújo trusts overall

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

1. Phan-Minh Nguyen
2. Martin H. Anthony
3. Song Mei
4. Justin A. Sirignano
5. Peter L. Bartlett
6. Grant M. Rotskoff
7. C. Broeck
8. Alex Krizhevsky
9. Simon Shaolei Du
10. Vassili N. Kolokoltsov

Who trusts D. Araújo overall

1. Jiaoyang Huang
2. Mao Ye
3. Cong Fang
4. Greg Yang
5. Justin A. Sirignano
6. Horng-Tzer Yau
7. Lemeng Wu
8. Jason D. Lee
9. Qiang Liu

Papers from D. Araújo's perspective

Ordered by how strongly the researchers D. Araújo 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. Learning Multiple Layers of Features from Tiny Images
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A mean-field limit for certain deep neural networks (2019) — 72 citations