Jason Crain

Atomic and Molecular Physics, and Optics · 2002–2021

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jason Crain trusts overall

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

  1. Alan K. Soper

Who trusts Jason Crain overall

  1. Yuanbo Zhang
  2. S. Adam
  3. T. Proffen

Papers from Jason Crain's perspective

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

  1. Tests of the empirical potential structure refinement method and a new method of application to neutron diffraction data on water
  2. Random Features for Large-Scale Kernel Machines
  3. Generating Sentences from a Continuous Space
  4. A large annotated corpus for learning natural language inference
  5. Adversarial Autoencoders
  6. Wasserstein Auto-Encoders
  7. Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
  8. A Kernel Method for the Two-Sample-Problem
  9. AUTO-ENCODING VARIATIONAL BAYES
  10. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Their papers