Rui Xu
Artificial Intelligence · with Cranmer · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it
- AI for Physical Sciences — 7 citations into it
- ML Systems & Hardware — 6 citations into it
Whom Rui Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter W. Battaglia
- Michael D. Schmidt
- Franco Scarselli
- Alvaro Sanchez-Gonzalez
- Michael M. Bronstein
- Hod Lipson
- Yann LeCun
- Geoffrey E. Hinton
- Razvan Pascanu
- Yoshua Bengio
Who trusts Rui Xu overall
Papers from Rui Xu's perspective
Ordered by how strongly the researchers Rui Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Learning Symbolic Physics with Graph Networks (2019) — 99 citations
- Discovering Symbolic Models from Deep Learning with Inductive Biases (2020) — 676 citations