Lasse Espeholt

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 9 papers; trusts 235 researchers and is trusted by 2,194 researchers here, as inferred from the citation graph.

Subfields

Whom Lasse Espeholt trusts overall

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

  1. Alex Graves
  2. Richard S. Sutton
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Sepp Hochreiter
  7. J. Urgen Schmidhuber
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts Lasse Espeholt overall

  1. Yoshua Bengio
  2. Sergey Levine
  3. Ruslan Salakhutdinov
  4. Mohit Bansal
  5. Pieter Abbeel
  6. Quoc V. Le
  7. Zhe Gan
  8. Kyunghyun Cho
  9. Jianfeng Gao
  10. Trevor Darrell

Papers from Lasse Espeholt's perspective

Ordered by how strongly the researchers Lasse Espeholt 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers