Alistair Muldal

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 8 papers; trusts 61 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Alistair Muldal trusts overall

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

  1. Richard S. Sutton
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Ronald J. Williams
  5. Jimmy Ba
  6. Andrew Barto
  7. Yuval Tassa
  8. E. Todorov
  9. Yoshua Bengio
  10. Sergey Levine

Who trusts Alistair Muldal overall

  1. Danijar Hafner
  2. Pieter Abbeel
  3. Denis Yarats
  4. Caglar Gulcehre
  5. Josh Merel
  6. Amy Zhang
  7. Sergey Levine
  8. Gabriel Dulac-Arnold
  9. Kimin Lee
  10. Ziyun Wang

Papers from Alistair Muldal's perspective

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

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

Their papers