Baxter S. Eaves

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Baxter S. Eaves trusts overall

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

  1. Christophe Andrieu
  2. T. Griffiths
  3. S. MacEachern
  4. Xiaojin Zhu
  5. Gareth O. Roberts
  6. Mark Steyvers
  7. Matti Vihola
  8. Frank J. Balbach
  9. Shike Mei
  10. Radford M. Neal

Papers from Baxter S. Eaves's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  9. Markov Chain Sampling Methods for Dirichlet Process Mixture Models
  10. Probabilistic reasoning in intelligent systems: Networks of plausible inference

Their papers