Alireza Makhzani
Home Publications
  • Evaluating Lossy Compression Rates of Deep Generative Models
    Sheldon Huang*, Alireza Makhzani*, Yanshuai Cao, and Roger Grosse
    ICML 2020
    [talk]

  • Implicit Autoencoders
    Alireza Makhzani
    arXiv pre-print
    [slides]

  • Unsupervised Representation Learning with Autoencoders
    Alireza Makhzani
    PhD Thesis, University of Toronto

  • StarCraft II: A New Challenge for Reinforcement Learning
    Oriol Vinyals, Timo Ewalds, Sergey Bartunov, Petko Georgiev, Alexander 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
    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
  • Alireza Makhzani
  • Vector Institute
  • University of Toronto
  • Twitter
  • image/svg+xml Google Scholar