Neeraj Pradhan

Probabilistic & Bayesian Methods · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Neeraj Pradhan trusts overall

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

  1. Matthew D. Hoffman
  2. Radford M. Neal
  3. Andrew Gelman
  4. John Salvatier
  5. Raj Agrawal
  6. Diederik P. Kingma
  7. Dustin Tran
  8. David M. Blei
  9. Siddharth Narayanaswamy

Who trusts Neeraj Pradhan overall

  1. Wesley J. Maddox
  2. Guillaume Baudart
  3. Sebastian Raschka
  4. Nazanin Khosravani Tehrani
  5. David Dohan

Papers from Neeraj Pradhan's perspective

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

  1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  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. Improved Variational Inference with Inverse Autoregressive Flow
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Gradient-based learning applied to document recognition

Their papers