Kiwon Um

Statistical and Nonlinear Physics · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 18 citations into it
• Artificial Intelligence — 15 citations into it
• Computational Mechanics — 14 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Numerical Methods & Scientific Computing — 6 citations into it
• AI for Physical Sciences — 5 citations into it

Whom Kiwon Um trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Maizar Raissi
4. Ilya Sutskever
5. Geoffrey E. Hinton
6. Jimmy Ba
7. Brandon Amos
8. Justin A. Sirignano
9. Mengyu Chu
10. Stefano Schiavon

Who trusts Kiwon Um overall

1. Alasdair Tran
2. Nikola B. Kovachki
3. Zong-Yi Li
4. Alexander Patrick Mathews

Papers from Kiwon Um's perspective

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

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

Their papers

• Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers (2020) — 363 citations