NIPS Proceedingsβ

Nicolas Heess

8 Papers

  • Attend, Infer, Repeat: Fast Scene Understanding with Generative Models (2016)
  • Unsupervised Learning of 3D Structure from Images (2016)
  • Gradient Estimation Using Stochastic Computation Graphs (2015)
  • Learning Continuous Control Policies by Stochastic Value Gradients (2015)
  • Bayes-Adaptive Simulation-based Search with Value Function Approximation (2014)
  • Recurrent Models of Visual Attention (2014)
  • Learning to Pass Expectation Propagation Messages (2013)
  • Searching for objects driven by context (2012)