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Alireza Makhzani

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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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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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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Implicit Autoencoders

May 24, 2018
Alireza Makhzani

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