Alexandre Yahi

Generative Models · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 12 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Alexandre Yahi trusts overall

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

1. Individualized Treat
2. L. V. D. van der Maaten
3. Geoffrey E. Hinton
4. Cristóbal Esteban
5. Edward Choi
6. Yuan Xue
7. Brett K. Beaulieu-Jones
8. Jinsung Yoon
9. Tao Xu
10. Yann LeCun

Who trusts Alexandre Yahi overall

1. Lei Xu
2. Jiaqi Guan
3. Zilong Zhao
4. Maria Skoularidou
5. Runzhe Li
6. Aditya Kunar
7. Kalyan Veeramachaneni

Papers from Alexandre Yahi's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. GENERATIVE ADVERSARIAL NETS
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories (2017) — 43 citations