• Implicit Autoencoders
  Alireza Makhzani
  arXiv pre-print


• StarCraft II: A New Challenge for Reinforcement Learning
  Oriol Vinyals, Timo Ewalds, Sergey Bartunov, Petko Georgiev, Alexander Sasha Vezhnevets, Michelle Yeo, Alireza Makhzani, Heinrich K uttler, John Agapiou, Julian Schrittwieser, Stephen Gaffney, Stig Petersen, Karen Simonyan, Tom Schaul, Hado van Hasselt, David Silver, Timothy Lillicrap, Kevin Calderone, Paul Keet, Anthony Brunasso, David Lawrence, Anders Ekermo, Jacob Repp, Rodney Tsing
  NIPS 2017, Deep Reinforcement Learning Symposium
  [blog]


• PixelGAN Autoencoders
  Alireza Makhzani, Brendan Frey
  NIPS 2017, Neural Information Processing Systems
  [video, slides, poster]


• Adversarial Autoencoders
  Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow, Brendan Frey
  ICLR 2016 Workshop, International Conference on Learning Representations
  [poster, slides, TFD manifold, SVHN style manifold]


• Winner-Take-All Autoencoders
  Alireza Makhzani, Brendan Frey
  NIPS 2015, Neural Information Processing Systems
  [poster, ipython demo]


• k-Sparse Autoencoders
  Alireza Makhzani, Brendan Frey
  ICLR 2014, International Conference on Learning Representations
  [poster]


• Compressed Sensing for Jointly Sparse Signals
  Alireza Makhzani
  Master's Thesis, University of Toronto
  


• Distributed Spectrum Sensing in Cognitive Radios via Graphical Models
  Alireza Makhzani, Shahrokh Valaee
  CAMSAP 2013, IEEE International Conference on Computational Advances in Multi-Sensor Adaptive Processing
  


• Reconstruction of Jointly Sparse Signals using Iterative Hard Thresholding
  Alireza Makhzani, Shahrokh Valaee
  ICC 2012, IEEE International Conference on Communications
  


• Reconstruction of a Generalized Joint Sparsity Model using Principal Component Analysis
  Alireza Makhzani, Shahrokh Valaee
  CAMSAP 2011, IEEE International Conference on Computational Advances in Multi-Sensor Adaptive Processing