Jaehyun Park

Numerical Analysis · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jaehyun Park trusts overall

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

  1. Michel X. Goemans
  2. Michael Grant
  3. Stephen P. Boyd
  4. Jean B. Lasserre
  5. Stephen J. Wright
  6. Tobias Achterberg
  7. Ruth Misener
  8. David P. Williamson
  9. Steven Diamond
  10. Erik Agrell

Who trusts Jaehyun Park overall

  1. Umair Mohammad
  2. Shai M. Chester
  3. Aaron Fisher
  4. Sameh Sorour
  5. Cynthia Rudin
  6. Walter Landry
  7. Berk Ustun
  8. Mohamed S. Hefeida

Papers from Jaehyun Park's perspective

Ordered by how strongly the researchers Jaehyun Park 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. Regression Shrinkage and Selection via the Lasso
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Gradient-based learning applied to document recognition
  8. Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers