Thomas Lipp

Computational Theory and Mathematics · 2016

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Lipp trusts overall

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

  1. Jan de Leeuw
  2. Mikhail Belkin
  3. Alan L. Yuille
  4. Steven Diamond
  5. Stephen P. Boyd
  6. Alexander Domahidi
  7. Reha H. Tütüncü
  8. Partha Niyogi
  9. Anand Rangarajan
  10. Leo Liberti

Who trusts Thomas Lipp overall

  1. Xinyue Shen
  2. Aman Agarwal
  3. Meixia Tao
  4. Cheng Wang
  5. Mushu Li
  6. Yuanwei Liu
  7. Steven Diamond
  8. Kenta Takatsu
  9. Erkai Chen
  10. Wei Wei

Papers from Thomas Lipp's perspective

Ordered by how strongly the researchers Thomas Lipp 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers