Tristan Bepler

Molecular Biology · 2018–2021

A researcher in the Science corpus: 6 papers; trusts 109 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Tristan Bepler trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Tomas Mikolov
  5. Quoc V. Le
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Kyunghyun Cho
  9. Richard Socher
  10. Dzmitry Bahdanau

Who trusts Tristan Bepler overall

  1. Kevin Kaichuang Yang
  2. Zhuoran Qiao
  3. Brian L. Hie
  4. Konstantin Weissenow
  5. Dan Ofer
  6. Xinyu Zhang
  7. Vignesh Ram Somnath
  8. Rohit Singh
  9. Noelia Ferruz
  10. Michael Heinzinger

Papers from Tristan Bepler's perspective

Ordered by how strongly the researchers Tristan Bepler 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. Attention is All you Need (Neural Information Processing Systems)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers