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Improving Mutual Information Estimation with Annealed and Energy-Based Bounds


Mar 13, 2023
Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger Grosse, Alireza Makhzani

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* A shorter version appeared in the International Conference on Learning Representations (ICLR) 2022 

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Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition


Jan 19, 2023
Juan Carrasquilla, Mohamed Hibat-Allah, Estelle Inack, Alireza Makhzani, Kirill Neklyudov, Graham W. Taylor, Giacomo Torlai

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* 10 pages, 6 figures. Minimal implementation: https://github.com/carrasqu/binncode 

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Action Matching: A Variational Method for Learning Stochastic Dynamics from Samples


Oct 13, 2022
Kirill Neklyudov, Daniel Severo, Alireza Makhzani

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Variational Model Inversion Attacks


Jan 26, 2022
Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard Zemel, Alireza Makhzani

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* 35th Conference on Neural Information Processing Systems (NeurIPS 2021) 

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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

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* 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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