Alireza Makhzani


PhD Candidate
Probabilistic and Statistical Inference Group
Machine Learning Group
Department of Electrical and Computer Engineering
University of Toronto

Email: makhzani at psi dot utoronto dot ca

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I am a PhD student in Brendan Frey's group and the Machine Learning Group at the University of Toronto. I have a broad set of interests within machine learning, but these days I am working on generative models and deep reinforcement learning.
My Master thesis was about distributed compressed sensing, supervised by Shahrokh Valaee at the University of Toronto. I received my Bachelor's degree from Amirkabir University of Technology (Tehran Polytechnic) in Iran.


Work Experience:


Publications:

  • Adversarial Autoencoders
    Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow, Brendan Frey
    ICLR workshop 2016
    [pdf] , [poster] , [slides] , [TFD manifold] , [SVHN style manifold]

  • Winner-Take-All Autoencoders
    Alireza Makhzani, Brendan Frey
    NIPS 2015
    [pdf] , [poster] , [ipython demo]

  • k-Sparse Autoencoders
    Alireza Makhzani, Brendan Frey
    ICLR 2014
    [pdf] , [poster]

  • Compressed Sensing for Jointly Sparse Signals
    Alireza Makhzani
    Master Thesis
    [pdf]

  • Distributed Spectrum Sensing in Cognitive Radios via Graphical Models
    Alireza Makhzani, Shahrokh Valaee
    CAMSAP 2013
    [pdf]

  • Reconstruction of Jointly Sparse Signals using Iterative Hard Thresholding
    Alireza Makhzani, Shahrokh Valaee
    ICC 2012
    [pdf]

  • Reconstruction of a Generalized Joint Sparsity Model using Principal Component Analysis
    Alireza Makhzani, Shahrokh Valaee
    CAMSAP 2011
    [pdf]

Awards:

  • Ontario Graduate Scholarship (OGS), University of Toronto, 2015.
  • Queen Elizabeth II Graduate Scholarship, University of Toronto, 2014.
  • The Edward S. Rogers Sr. Graduate Scholarship, University of Toronto, from 2010 to 2015.
  • Ranked 3rd (bronze medal) among about 12500 national students of Iran in the university students Olympiad in the field of Electrical and Computer Engineering, Iran, 2010.
    (Because of this rank, I got exempted from national graduate entrance exam and compulsory military service of Iran)
  • Ranked 2nd among 120 undergraduate students in the Department of Electrical and Computer Engineering (with GPA 94%), Amirkabir University of Technology, Iran, 2010.


Teaching:

  • Inference Algorithms and Machine Learning (ECE521), University of Toronto (Winter 2016).
    [TensorFlow Tutorial 1] , [TensorFlow Tutorial 2]
  • Inference Algorithms and Machine Learning (ECE521), University of Toronto (Winter 2015).
  • Probability and Random Process (ECE302), Teaching Assistant, University of Toronto (Winter 2012).
  • Probability and Random Process (ECE302), Teaching Assistant, University of Toronto (Winter 2011).


Graduate Courses:

  • Advanced Machine Learning (A+)
  • Statistical Modeling and Inference Algorithms (A+)
  • GPU Programming (A+)
  • Natural Language Processing (A+)
  • Statistical Signal Processing (A+)
  • Stochastic Process (A+)
  • Digital Communication (A+)
  • Communication Networks (A+)
  • Advanced Algorithms and Data Structures (A)
  • Information Theory (A-)