Publications
Some of the papers are released with code, which comes with a license.


Conference and Journal papers

• Modelling Relational Data using Bayesian Clustered Tensor Factorization,
  Ilya Sutskever, Ruslan Salakhutdinov, and Josh Tenenbaum, NIPS*22, 2009.
  [pdf]
  


• A simpler unified analysis of Budget Perceptrons,
  Ilya Sutskever, ICML, 2009.
  [pdf, recorded talk]
  


• Using matrices to model symbolic relationship,
  Ilya Sutskever and Geoffrey Hinton, NIPS*21, 2008.
  [pdf, code, matlab code (by Laurens van der Maaten)]
  


• The Recurrent Temporal Restricted Boltzmann Machine,
  Ilya Sutskever, Geoffrey Hinton and Graham Taylor, NIPS*21, 2008.
  [pdf, code, videos]
  


• Temporal Kernel Recurrent Neural Networks,
  Ilya Sutskever and Geoffrey Hinton, to appear in Neural Networks.
  [pdf, code]


• Mimicking Go Experts with Convolutional Neural Networks,
  Ilya Sutskever and Vinod Nair, ICANN 2008.
  [pdf]
  


• Deep Narrow Sigmoid Belief Networks are Universal Approximators,
  Ilya Sutskever and Geoffrey Hinton, Neural Computation, November 2008, Vol. 20, No. 11: 2629-2636.
  [pdf]
  


• Visualizing Similarity Data with a Mixture of Maps,
  James Cook, Ilya Sutskever, Andriy Mnih, and Geoffrey Hinton, AISTATS 2007.
  [pdf]
  


• Learning Multilevel Distributed Representations for High-Dimensional Sequences,
  Ilya Sutskever and Geoffrey Hinton, AISTATS 2007.
  [pdf, videos, code]
  

Theses et al.

• Nonlinear Multilayered Sequence Models,
  Ilya Sutskever, Master's Thesis, 2007.
  [link]


• Trans-lingual representation of text documents,
  John Platt and Ilya Sutskever,
  Patent pending.
  

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