Michael Neunert

Artificial Intelligence · 2016–2025

A researcher in the Science corpus: 8 papers; trusts 35 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Neunert trusts overall

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

  1. Diederik P. Kingma
  2. E. Todorov
  3. Richard S. Sutton
  4. Moritz Diehl
  5. Geoffrey E. Hinton
  6. J. Urgen Schmidhuber
  7. Andrew Barto
  8. Yoshua Bengio
  9. John Schulman
  10. Sergey Levine

Who trusts Michael Neunert overall

  1. Yuxiang Yang
  2. Tianhe Yu
  3. Jie Tan

Papers from Michael Neunert's perspective

Ordered by how strongly the researchers Michael Neunert 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Reinforcement Learning: An Introduction
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers