Leonard Hasenclever

Artificial Intelligence · 2015–2025

A researcher in the Science corpus: 13 papers; trusts 166 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Leonard Hasenclever trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Danilo Jimenez Rezende
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Alex Graves
  7. Radford M. Neal
  8. Jimmy Ba
  9. Tom Minka
  10. Max Welling

Who trusts Leonard Hasenclever overall

  1. Zhifeng Kong
  2. Will Grathwohl
  3. Balaji Lakshminarayanan
  4. Ricky T. Q. Chen
  5. Emilio Parisotto
  6. Fei Ye
  7. Kamalika Chaudhuri
  8. Chin-Wei Huang
  9. Josh Merel
  10. Aditya Ramesh

Papers from Leonard Hasenclever's perspective

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

Their papers