Junhyuk Kim

Computational Mechanics · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 16 citations into it
• Statistical and Nonlinear Physics — 14 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 7 citations into it
• Generative Models — 6 citations into it

Whom Junhyuk Kim trusts overall

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

1. Diederik P. Kingma
2. J. Nathan Kutz
3. A. W. Vreman
4. Mehdi Mirza
5. Geoffrey E. Hinton
6. Thomas Kipf
7. Jimmy Ba
8. Tero Karras
9. Yann LeCun
10. Max Welling

Who trusts Junhyuk Kim overall

1. Dule Shu

Papers from Junhyuk Kim's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Unsupervised deep learning for super-resolution reconstruction of turbulence (2020) — 304 citations