Nicolas Bouchard

Optimization & Training · 2012–2016

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Bouchard trusts overall

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

  1. Barak A. Pearlmutter

Who trusts Nicolas Bouchard overall

  1. Yoshua Bengio
  2. Zhe Gan
  3. Colin Raffel
  4. Matthieu Courbariaux
  5. Ian J. Goodfellow

Papers from Nicolas Bouchard's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Torch7: A Matlab-like Environment for Machine Learning
  4. cuDNN: Efficient Primitives for Deep Learning
  5. Learning internal representations by error propagation
  6. Recurrent Neural Network Regularization
  7. Large Scale Distributed Deep Networks
  8. Learning Recurrent Neural Networks with Hessian-Free Optimization
  9. Theano: new features and speed improvements
  10. Chainer : a Next-Generation Open Source Framework for Deep Learning

Their papers