Andr'e Merboldt

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andr'e Merboldt trusts overall

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

  1. Dzmitry Bahdanau
  2. Yoshua Bengio
  3. Albert Zeyer
  4. Sepp Hochreiter
  5. Geoffrey E. Hinton
  6. Alex Graves
  7. J. Urgen Schmidhuber
  8. Kyunghyun Cho
  9. Diederik P. Kingma
  10. Ilya Sutskever

Papers from Andr'e Merboldt's perspective

Ordered by how strongly the researchers Andr'e Merboldt trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  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. ImageNet classification with deep convolutional neural networks
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers