Jin-Guo Liu

Computational Theory and Mathematics · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jin-Guo Liu trusts overall

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

  1. David John Cameron MacKay
  2. Nikolaus Hansen
  3. Geoffrey E. Hinton
  4. Daphne Koller

Who trusts Jin-Guo Liu overall

  1. Maria Schuld
  2. Christa Zoufal
  3. M. Cerezo
  4. Aurélien Lucchi
  5. Ryan Larose
  6. Marcello Benedetti
  7. Stefan Woerner
  8. Andrew Arrasmith

Papers from Jin-Guo Liu's perspective

Ordered by how strongly the researchers Jin-Guo Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Information Theory, Inference, and Learning Algorithms
  2. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
  3. The CMA Evolution Strategy: A Comparing Review
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  9. Multivariate stochastic approximation using a simultaneous perturbation gradient approximation
  10. A Simplex Method for Function Minimization

Their papers