Dan Pei
Artificial Intelligence · 2006–2021
A researcher in the Science corpus: 5 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it
- Generative Models — 12 citations into it
- Probabilistic & Bayesian Methods — 11 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Dan Pei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Dan Pei's perspective
Ordered by how strongly the researchers Dan Pei trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Stochastic Backpropagation and Approximate Inference in Deep Generative Models
Their papers
- Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding (2021) — 497 citations
- Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network (2019) — 1,893 citations
- LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs (2019) — 733 citations
- Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications (2018) — 1,045 citations
- PHAS: A Prefix Hijack Alert System (2006) — 307 citations