Matthew Rocklin

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Rocklin trusts overall

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

  1. Wes McKinney

Who trusts Matthew Rocklin overall

  1. Shoumik Palkar
  2. Takahiro Yabe
  3. Marius Thomas Lindauer
  4. Matei A. Zaharia
  5. Bernd Bischl
  6. N. Jones
  7. Katharina Eggensperger
  8. Martin Binder
  9. P. Rao
  10. Matthias Feurer

Papers from Matthew Rocklin's perspective

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

  1. cuDNN: Efficient Primitives for Deep Learning
  2. ImageNet classification with deep convolutional neural networks
  3. Large Scale Distributed Deep Networks
  4. Going deeper with convolutions
  5. Recurrent Neural Network Regularization
  6. Torch7: A Matlab-like Environment for Machine Learning
  7. Theano: new features and speed improvements
  8. Chainer : a Next-Generation Open Source Framework for Deep Learning
  9. IPython: A System for Interactive Scientific Computing
  10. Deep learning with Elastic Averaging SGD

Their papers