Yan Liu
Probabilistic & Bayesian Methods · with Gu · 2019
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Probabilistic & Bayesian Methods — 17 citations into it; #1,309 of 1,525 by trust here, #1,515 by citations
- Artificial Intelligence — 14 citations into it; #27,905 of 35,345 by trust here, #34,943 by citations
- Statistics and Probability — 9 citations into it; #10,313 of 12,932 by trust here, #12,603 by citations
- Computer Vision and Pattern Recognition — 6 citations into it
- Generative Models — 6 citations into it
Whom Yan Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Yan Liu overall
Papers from Yan Liu's perspective
Ordered by how strongly the researchers Yan Liu 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)
- Variational Inference with Normalizing Flows
- Density estimation using Real NVP
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Dynamical Sampling with Langevin Normalization Flows (2019) — 5 citations