Michael Heinzinger

Molecular Biology · 2018–2024

A researcher in the Science corpus: 8 papers; trusts 144 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Michael Heinzinger trusts overall

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

  1. Burkhard Rost
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Christopher Sander
  5. Yoshua Bengio
  6. Ehsaneddin Asgari
  7. Tomas Mikolov
  8. Martin Steinegger
  9. Sheng Wang
  10. Alex Krizhevsky

Who trusts Michael Heinzinger overall

  1. Dan Ofer
  2. Ahmed Elnaggar
  3. Konstantin Weissenow
  4. Roshan Rao
  5. Nadav Brandes
  6. Wenhao Gao
  7. Christian Dallago
  8. Joshua Meier
  9. Amy X. Lu
  10. Burkhard Rost

Papers from Michael Heinzinger's perspective

Ordered by how strongly the researchers Michael Heinzinger 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers