Naotake Masuda

Generative Models · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Naotake Masuda trusts overall

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

  1. Diederik P. Kingma
  2. Danilo Jimenez Rezende
  3. George Papamakarios

Who trusts Naotake Masuda overall

  1. Jesse Engel

Papers from Naotake Masuda's perspective

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

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

Their papers