Junwoong Yoon

Materials Chemistry · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Junwoong Yoon trusts

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

  1. Jeffrey C. Grossman (in Materials Chemistry)
  2. Tian Xie (in Materials Chemistry)

Papers from Junwoong Yoon's perspective

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

  1. Gradient-based learning applied to document recognition
  2. GradientBased Learning Applied to Document Recognition
  3. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
  4. Gated Graph Sequence Neural Networks
  5. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  6. A new model for learning in graph domains
  7. Quantum-chemical insights from deep tensor neural networks
  8. A Tutorial on Bayesian Optimization
  9. GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
  10. Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties.

Their papers