Mark S. Alber

Artificial Intelligence · 2001–2019

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Mark S. Alber trusts overall

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

  1. Maizar Raissi
  2. Paris Perdikaris
  3. G. Em Karniadakis
  4. F. Sahli Costabal
  5. Liu Yang
  6. Geoffrey E. Hinton
  7. Jonathan Tremblay
  8. Diederik P. Kingma
  9. Markus J. Buehler
  10. Kaiming He

Who trusts Mark S. Alber overall

  1. Engui Fan
  2. Xianguo Geng

Papers from Mark S. Alber's perspective

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

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

Their papers