Ross Boczar

Computational Mechanics · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ross Boczar trusts overall

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

  1. E.J. Candes
  2. Joel A. Tropp
  3. B. Recht
  4. Sarah Dean
  5. Deanna Needell
  6. Iroon Polytechniou
  7. Thomas Blumensath
  8. Prateek Jain
  9. Jian-Feng Cai
  10. Stephen P. Boyd

Who trusts Ross Boczar overall

  1. Samet Oymak
  2. Huazhe Xu
  3. Yuanzhi Li
  4. Simon Shaolei Du
  5. Srinadh Bhojanapalli
  6. Yuejie Chi
  7. Yudong Chen
  8. Necmiye Ozay
  9. Qiuwei Li
  10. G. Wang

Papers from Ross Boczar's perspective

Ordered by how strongly the researchers Ross Boczar 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. End-to-End Training of Deep Visuomotor Policies
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers