Richard Bamler

Artificial Intelligence · IEEE Transactions on Geoscience and Remote Sensing · 2010–2021

A researcher in the Science corpus: 7 papers; trusts 50 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Bamler trusts overall

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

  1. E.J. Candes
  2. Xiaoxiang Zhu
  3. Gianfranco Fornaro
  4. Gitta Kutyniok
  5. Joachim H. G. Ender
  6. Francesco Serafino
  7. K. Burnham
  8. Richard Baraniuk
  9. Shutao Li
  10. David L. Donoho

Who trusts Richard Bamler overall

  1. Xiaoxiang Zhu
  2. Andrea Massa
  3. Giuseppe Scarpa
  4. Liang Xiao
  5. Shutao Li
  6. Pedram Ghamisi
  7. Paolo Rocca

Papers from Richard Bamler's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. GENERATIVE ADVERSARIAL NETS
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers