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