Philippe Castonguay

Artificial Intelligence · 2017

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

Subfields

Whom Philippe Castonguay trusts overall

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

  1. Diederik P. Kingma

Papers from Philippe Castonguay's perspective

Ordered by how strongly the researchers Philippe Castonguay 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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  3. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
  4. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
  5. An Introduction to Variational Methods for Graphical Models
  6. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
  7. Large-scale deep unsupervised learning using graphics processors
  8. Functional organization of excitatory synaptic strength in primary visual cortex
  9. A visual motion detection circuit suggested by Drosophila connectomics (Nature)
  10. Functional specificity of local synaptic connections in neocortical networks (Nature)

Their papers