Jianfeng Feng

Probabilistic & Bayesian Methods · with Chen · 2004–2019

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 24 citations into it

Whom Jianfeng Feng trusts overall

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

1. Thomas Schreiber

Who trusts Jianfeng Feng overall

1. Xiaohai Sun

Papers from Jianfeng Feng's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. Improved Techniques for Training GANs
3. Training Products of Experts by Minimizing Contrastive Divergence
4. Microsoft COCO: Common Objects in Context
5. Variational Inference with Normalizing Flows
6. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
7. AUTO-ENCODING VARIATIONAL BAYES
8. ImageNet classification with deep convolutional neural networks
9. Importance Weighted Autoencoders
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Analyzing multiple nonlinear time series with extended Granger causality (2004) — 397 citations
• On Fenchel Mini-Max Learning (2019) — 16 citations
• Partial Granger causality--eliminating exogenous inputs and latent variables. (2008)