Nicholas Bhattacharya

Molecular Biology · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Nicholas Bhattacharya trusts overall

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

  1. Sean R. Eddy
  2. Jacob Devlin
  3. S. W. Lockless
  4. Anthony Fodor
  5. John Thomas
  6. Geoffrey E. Hinton
  7. Sepp Hochreiter
  8. Martin Steinegger
  9. Martin Weigt
  10. Burkhard Rost

Who trusts Nicholas Bhattacharya overall

  1. Roshan Rao
  2. Kevin Kaichuang Yang
  3. Joshua Meier
  4. Ali Madani
  5. Michael Heinzinger
  6. Konstantin Weissenow
  7. Ahmed Elnaggar
  8. Jesse Vig
  9. Nadav Brandes
  10. Brian L. Hie

Papers from Nicholas Bhattacharya's perspective

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

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  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. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers