Mahyar Fazlyab

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Safety, Robustness & Interpretability — 21 citations into it

Whom Mahyar Fazlyab trusts overall

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

1. Yann LeCun
2. Tsui-Wei Weng
3. J. Kolter
4. Kevin Scaman
5. Yusuke Tsuzuku
6. Cem Anil
7. Geoffrey E. Hinton
8. Huan Zhang
9. Eric Wong
10. Aleksander Madry

Who trusts Mahyar Fazlyab overall

1. Matt Jordan
2. Sungyoon Lee
3. Hyunjik Kim
4. Yujia Huang
5. Jun Qi
6. Lukas Brunke
7. A. Dimakis
8. Jaewook Lee
9. George Papamakarios

Papers from Mahyar Fazlyab's perspective

Ordered by how strongly the researchers Mahyar Fazlyab 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Intriguing properties of neural networks
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks (2019) — 570 citations