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Compressing Multisets with Large Alphabets


Jul 15, 2021
Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich


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Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding


Feb 22, 2021
Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison


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Likelihood Ratio Exponential Families


Jan 15, 2021
Rob Brekelmans, Frank Nielsen, Alireza Makhzani, Aram Galstyan, Greg Ver Steeg

* NeurIPS Workshop on Deep Learning through Information Geometry 

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Evaluating Lossy Compression Rates of Deep Generative Models


Aug 15, 2020
Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger Grosse


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Implicit Autoencoders


May 24, 2018
Alireza Makhzani


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StarCraft II: A New Challenge for Reinforcement Learning


Aug 16, 2017
Oriol Vinyals, Timo Ewalds, Sergey Bartunov, Petko Georgiev, Alexander Sasha Vezhnevets, Michelle Yeo, Alireza Makhzani, Heinrich Küttler, John Agapiou, Julian Schrittwieser, John Quan, 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

* Collaboration between DeepMind & Blizzard. 20 pages, 9 figures, 2 tables 

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PixelGAN Autoencoders


Jun 02, 2017
Alireza Makhzani, Brendan Frey


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Adversarial Autoencoders


May 25, 2016
Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow, Brendan Frey


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Winner-Take-All Autoencoders


Jun 07, 2015
Alireza Makhzani, Brendan Frey


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k-Sparse Autoencoders


Mar 22, 2014
Alireza Makhzani, Brendan Frey


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