Guzel Tartakovsky

Statistical and Nonlinear Physics · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Guzel Tartakovsky trusts overall

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

  1. Maizar Raissi
  2. Xavier Glorot
  3. Diederik P. Kingma
  4. Geir Evensen
  5. Yoshua Bengio
  6. Paris Perdikaris
  7. Richard H. Byrd
  8. Andrew M. Stuart
  9. P. Houtekamer
  10. E. Weinan

Who trusts Guzel Tartakovsky overall

  1. Paris Perdikaris
  2. G. Em Karniadakis
  3. Yibo Yang

Papers from Guzel Tartakovsky's perspective

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

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

Their papers