Dmitrij Rappoport

Atomic and Molecular Physics, and Optics · 2005–2023

A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Dmitrij Rappoport trusts overall

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

  1. Filipp Furche
  2. Axel D. Becke
  3. Florian Weigend
  4. J. Perdew
  5. Wen Torng
  6. Martin Steinegger

Who trusts Dmitrij Rappoport overall

  1. Narbe Mardirossian
  2. Stefan Grimme

Papers from Dmitrij Rappoport's perspective

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

  1. Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Rectified Linear Units Improve Restricted Boltzmann Machines
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. Learning Multiple Layers of Features from Tiny Images
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers