Alipanah Parviz

Artificial Intelligence · 2022

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

Subfields

• Artificial Intelligence — 23 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Alipanah Parviz trusts overall

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

1. Weihua Hu
2. William L. Hamilton

Papers from Alipanah Parviz's perspective

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

1. Microsoft COCO: Common Objects in Context
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
5. Attention is All you Need (Neural Information Processing Systems)
6. Graph Attention Networks (International Conference on Learning Representations)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. How Powerful are Graph Neural Networks?
10. Gradient-based learning applied to document recognition

Their papers

• Long Range Graph Benchmark (2022) — 345 citations