Erik M. Bollt

Artificial Intelligence · 2004–2021

A researcher in the Science corpus: 7 papers; trusts 23 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Erik M. Bollt trusts overall

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

  1. Mark Newman
  2. Steven H. Strogatz
  3. Clive W. J. Granger
  4. Michelle Girvan
  5. Floris Takens
  6. Yoshua Bengio
  7. Thomas Schreiber
  8. Mauricio Barahona
  9. Albert-László Barabási
  10. Alexander Kraskov

Who trusts Erik M. Bollt overall

  1. Santo Fortunato
  2. Jakob Runge
  3. Michele Coscia
  4. Susan Dina Ghiassian
  5. Maurizio Porfiri
  6. Amanda L. Traud
  7. Luciano da Fontoura Costa
  8. Leon Danon
  9. Jared D. Willard
  10. Frank No'e

Papers from Erik M. Bollt's perspective

Ordered by how strongly the researchers Erik M. Bollt 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Deep Learning
  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