Wei Sun

Artificial Intelligence · with Liu · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Sun trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Max Welling (in Artificial Intelligence)
  3. Yoshua Bengio (in Artificial Intelligence)

Papers from Wei Sun's perspective

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

  1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  2. Variational Inference with Normalizing Flows
  3. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
  4. A Recurrent Latent Variable Model for Sequential Data
  5. Sequential Neural Models with Stochastic Layers
  6. LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection (arXiv.org)
  7. Parallel Networks that Learn to Pronounce English Text
  8. Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection (International Conference on Learning Representations)
  9. A survey on unsupervised outlier detection in high‐dimensional numerical data (Statistical analysis and data mining)
  10. A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-Based Variational Autoencoder (IEEE Robotics and Automation Letters)

Their papers