Mohamed Ishmael Belghazi

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 125 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it
• Generative Models — 40 citations into it
• Artificial Intelligence — 36 citations into it
• Statistical and Nonlinear Physics — 12 citations into it
• Optimization & Training — 10 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Model Architectures — 6 citations into it

Whom Mohamed Ishmael Belghazi trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Yann LeCun
4. Geoffrey E. Hinton
5. Kaiming He
6. Sergey Ioffe
7. Yoshua Bengio
8. Karen Simonyan
9. Christian Szegedy
10. Ilya Sutskever

Who trusts Mohamed Ishmael Belghazi overall

1. Xingchao Peng
2. Adar Elad
3. Ben Poole
4. Mirco Ravanelli
5. Divya Saxena
6. Sindy Löwe
7. Yoshua Bengio
8. David A. McAllester
9. Sherjil Ozair
10. Tristan Sylvain

Papers from Mohamed Ishmael Belghazi's perspective

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

Their papers

• Mutual Information Neural Estimation (2018) — 1,674 citations
• Hierarchical Adversarially Learned Inference (2018) — 29 citations