Konstantin Weissenow

Molecular Biology · with Heinzinger · 2021–2024

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Konstantin Weissenow trusts overall

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

  1. Yang Zhang
  2. Mohammed Alquraishi
  3. Debora Marks
  4. David T. Jones
  5. Martin Steinegger
  6. Johannes Söding
  7. Geoffrey E. Hinton
  8. Tristan Bepler
  9. Fisher Yu
  10. Ivan V. Anishchenko

Papers from Konstantin Weissenow's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Gradient-based learning applied to document recognition
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers