Nitish V. Thakor

Biomedical Engineering · 2004–2019

A researcher in the Science corpus: 9 papers; trusts 39 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Nitish V. Thakor trusts overall

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

  1. Axel Schäfer
  2. Ming-Zher Poh
  3. Christoph Posch
  4. Yann LeCun
  5. Hao-Yu Wu
  6. Antonio Torralba
  7. J. Vagedes
  8. Thomas Serre
  9. Li Fei-Fei

Who trusts Nitish V. Thakor overall

  1. Sheng-Fu Liang
  2. Gregory Cohen
  3. Michael Pfeiffer
  4. Daniel Neil
  5. Chih-En Kuo
  6. Henri Rebecq
  7. Garrick Orchard
  8. Ernesto Pereda
  9. Shih-Chii Liu

Papers from Nitish V. Thakor's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers