Paul Almasan

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 — 7 citations into it

Whom Paul Almasan trusts overall

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

1. András Varga
2. Kaiming He

Papers from Paul Almasan's perspective

Ordered by how strongly the researchers Paul Almasan 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. Deep Learning
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. The Graph Neural Network Model
10. ImageNet: A large-scale hierarchical image database

Their papers

• RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN (2019) — 338 citations