Erin Antono

Integrating Materials and Manufacturing Innovation · 2013–2017

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Erin Antono trusts overall

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

  1. Ruben Martinez-Cantin
  2. Trevor J. Hastie

Papers from Erin Antono's perspective

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

  1. Visualizing Data using t-SNE
  2. Bayesian Experimental Design: A Review
  3. Active Learning with Statistical Models
  4. Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife
  5. A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials
  6. 014: On the "Probable Error" of a Coefficient of Correlation Deduced from a Small Sample.
  7. BayesOpt: a Bayesian optimization library for nonlinear optimization, experimental design and bandits
  8. ImageNet classification with deep convolutional neural networks
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Gradient-based learning applied to document recognition

Their papers