G. Hoffmann

Aerospace Engineering · IEEE International Conference on Robotics and Automation · 2004–2010

A researcher in the Science corpus: 8 papers; trusts 16 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom G. Hoffmann trusts overall

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

  1. Sebastian Thrun
  2. Parviz Moin
  3. Neil J. Gordon
  4. Arnaud Doucet
  5. Jeffrey Hightower
  6. B. Ristic
  7. Sulema Aranda
  8. Naomi Ehrich Leonard
  9. Richard S. Sutton
  10. Fredrik K. Gustafsson

Who trusts G. Hoffmann overall

  1. Daniel Mellinger
  2. S. Microtechnique
  3. Haomiao Huang
  4. Vijay R. Kumar
  5. Jeremy H. Gillula
  6. Claire Jennifer Tomlin
  7. Han-Lim Choi
  8. Nathan Michael
  9. Jonathan P. How
  10. Dorsa Sadigh

Papers from G. Hoffmann's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Reinforcement Learning: An Introduction
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Information Theory: 1948-1998 - Guest Editorial
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers