Christopher Rackauckas

Statistical and Nonlinear Physics · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christopher Rackauckas trusts overall

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

  1. Karline Soetaert
  2. Steven L. Brunton
  3. Lawrence F. Shampine
  4. Fernando Pérez
  5. Diederik P. Kingma
  6. William W. Hager
  7. N. Mangan
  8. Joshua L. Proctor
  9. Jiequn Han
  10. Peter J. Schmid

Who trusts Christopher Rackauckas overall

  1. Alexia Jolicoeur-Martineau
  2. Aditi S. Krishnapriyan
  3. Salvatore Cuomo
  4. Ke Li
  5. Tri Dao
  6. Yingbo Ma

Papers from Christopher Rackauckas's perspective

Ordered by how strongly the researchers Christopher Rackauckas 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers