Tao Pham Dinh

Optimization & Training · 1997–2018

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Pham Dinh trusts overall

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

  1. R. Tyrrell Rockafellar
  2. J. Moreau
  3. Hoai An Le Thi
  4. Roger Fletcher
  5. Jorge J. Moré

Who trusts Tao Pham Dinh overall

  1. Penghang Yin
  2. Emilio Carrizosa
  3. Bharath K. Sriperumbudur
  4. Mehryar Mohri
  5. Vitaly Kuznetsov
  6. Ben Sherwood
  7. Hoai An Le Thi
  8. Judy Hoffman
  9. Stephen H. Bach
  10. Yufeng Wang

Papers from Tao Pham Dinh's perspective

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

  1. Proximité et dualité dans un espace hilbertien
  2. ImageNet classification with deep convolutional neural networks
  3. Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Introduction to optimization
  9. DC Programming: Overview
  10. Introduction to Global Optimization

Their papers