Alexandre M. Tartakovsky

Statistical and Nonlinear Physics · 2005–2019

A researcher in the Science corpus: 7 papers; trusts 30 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Alexandre M. Tartakovsky trusts overall

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

  1. Joseph J Monaghan
  2. Maizar Raissi
  3. Timothy A. Davis
  4. Timothy A. Davis
  5. Dongbin Xiu
  6. Andrew M. Stuart
  7. Xavier Glorot
  8. Paul Meakin
  9. G. Em Karniadakis
  10. Qinjun Kang

Who trusts Alexandre M. Tartakovsky overall

  1. Moubin Liu
  2. Hongkyu Yoon
  3. Guirong Liu
  4. Yibo Yang
  5. Francesca Boso
  6. Paul Meakin
  7. G. Redden
  8. Albert J. Valocchi
  9. Hongwei Guo
  10. Timothy Scheibe

Papers from Alexandre M. Tartakovsky's perspective

Ordered by how strongly the researchers Alexandre M. 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. Understanding the difficulty of training deep feedforward neural networks

Their papers