Matthias Plappert

Artificial Intelligence · 2016–2024

A researcher in the Science corpus: 8 papers; trusts 36 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Matthias Plappert trusts overall

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

  1. Diederik P. Kingma
  2. Ronald J. Williams
  3. Geoffrey E. Hinton
  4. John Schulman
  5. Richard S. Sutton
  6. Jimmy Ba
  7. Marc G. Bellemare
  8. Tom Schaul
  9. Sylvain Calinon
  10. Sham M. Kakade

Who trusts Matthias Plappert overall

  1. Chuan Guo
  2. Sergey Levine
  3. Mingyuan Zhang
  4. Ofir Nachum
  5. Chaitanya Ahuja
  6. Yuri Burda
  7. Guy Tevet
  8. Mathis Petrovich
  9. Deepak Pathak
  10. Xiaodan Liang

Papers from Matthias Plappert's perspective

Ordered by how strongly the researchers Matthias Plappert 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers