Angshul Majumdar

Computational Mechanics · 2017

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Angshul Majumdar trusts overall

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

  1. David L. Donoho
  2. Yoshua Bengio
  3. Namrata Vaswani
  4. Michael Lustig
  5. Ingrid Daubechies
  6. Pascal Vincent
  7. U. Gamper
  8. Guang-Hong Chen
  9. Salah Rifai
  10. Zhou Wang

Who trusts Angshul Majumdar overall

  1. Adnan Qayyum

Papers from Angshul Majumdar's perspective

Ordered by how strongly the researchers Angshul Majumdar 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Deep Architectures for AI
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers