Jixiang Guo

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Reinforcement Learning — 29 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Management Science and Operations Research — 9 citations into it
• Control and Systems Engineering — 8 citations into it
• Causal Inference & Discovery — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Jixiang Guo trusts overall

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

1. Sergey Levine
2. Diederik P. Kingma
3. Judea Pearl
4. Chelsea Finn
5. Geoffrey E. Hinton
6. Richard S. Sutton
7. Pieter Abbeel
8. Jimmy Ba
9. E. Todorov
10. Yoshua Bengio

Who trusts Jixiang Guo overall

1. Zhen Wang
2. Liu Liu
3. Yiqun Duan

Papers from Jixiang Guo's perspective

Ordered by how strongly the researchers Jixiang Guo 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning (2022) — 21 citations