Mijung Park

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Safety, Robustness & Interpretability — 13 citations into it
• Statistics and Probability — 13 citations into it
• Privacy & Security — 8 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it
• Statistical Learning Theory — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Mijung Park trusts overall

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

1. Arthur Gretton
2. Kenji Fukumizu
3. Bharath K. Sriperumbudur
4. MARK A. Beaumont
5. Alex Smola
6. Simon N. Wood
7. Lucien Le Cam
8. Le Song
9. Bernhard Schölkopf
10. Alain F. Berlinet

Papers from Mijung Park's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• K2-ABC: Approximate Bayesian Computation with Infinite Dimensional Summary Statistics via Kernel Embeddings (2015) — 10 citations
• Interpretable and Differentially Private Predictions (2019) — 63 citations