Evaluating Lossy Compression Rates of Deep Generative Models Alireza Makhzani* , Yanshuai Cao, and Roger GrosseICML 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 Alireza Makhzani , Heinrich K uttler, John Agapiou, Julian Schrittwieser, Stephen Gaffney, Stig Petersen, Karen Simonyan, Tom Schaul, Hado van Hasselt, David Silver, Timothy LillicrapNIPS 2017, Deep Reinforcement Learning Symposium
blog ]
PixelGAN Autoencoders Alireza Makhzani , Brendan FreyNIPS 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 ValaeeCAMSAP 2013, IEEE International Conference on Computational Advances in Multi-Sensor Adaptive Processing
Reconstruction of Jointly Sparse Signals using Iterative Hard Thresholding Alireza Makhzani , Shahrokh ValaeeICC 2012, IEEE International Conference on Communications
Reconstruction of a Generalized Joint Sparsity Model using Principal Component Analysis Alireza Makhzani , Shahrokh ValaeeCAMSAP 2011, IEEE International Conference on Computational Advances in Multi-Sensor Adaptive Processing
