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Alireza Makhzani
Alireza Makhzani
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Adversarial autoencoders
A Makhzani, J Shlens, N Jaitly, I Goodfellow, B Frey
arXiv preprint arXiv:1511.05644, 2015
25162015
Starcraft ii: A new challenge for reinforcement learning
O Vinyals, T Ewalds, S Bartunov, P Georgiev, AS Vezhnevets, M Yeo, ...
arXiv preprint arXiv:1708.04782, 2017
7912017
k-Sparse Autoencoders
A Makhzani, B Frey
International Conference on Learning Representations (ICLR), 2014
3522014
Winner-take-all autoencoders
A Makhzani, BJ Frey
Advances in neural information processing systems 28, 2015
293*2015
Pixelgan autoencoders
A Makhzani, BJ Frey
Advances in Neural Information Processing Systems 30, 2017
1022017
Adversarial autoencoders (2015)
A Makhzani, J Shlens, N Jaitly, I Goodfellow, B Frey
arXiv preprint arXiv:1511.05644, 2021
422021
Implicit autoencoders
A Makhzani
arXiv preprint arXiv:1805.09804, 2018
232018
Improving lossless compression rates via monte carlo bits-back coding
Y Ruan, K Ullrich, DS Severo, J Townsend, A Khisti, A Doucet, ...
International Conference on Machine Learning, 9136-9147, 2021
182021
Evaluating Lossy Compression Rates of Deep Generative Models
S Huang, A Makhzani, Y Cao, R Grosse
162019
Reconstruction of jointly sparse signals using iterative hard thresholding
A Makhzani, S Valaee
2012 IEEE International Conference on Communications (ICC), 3564-3568, 2012
162012
Unsupervised representation learning with autoencoders
A Makhzani
University of Toronto (Canada), 2018
152018
Distributed spectrum sensing in cognitive radios via graphical models
A Makhzani, S Valaee
2013 5th IEEE International Workshop on Computational Advances in Multi …, 2013
102013
Variational Model Inversion Attacks
KC Wang, Y Fu, K Li, A Khisti, R Zemel, A Makhzani
Advances in Neural Information Processing Systems 34, 9706-9719, 2021
62021
Reconstruction of a generalized joint sparsity model using principal component analysis
A Makhzani, S Valaee
2011 4th IEEE International Workshop on Computational Advances in Multi …, 2011
52011
Likelihood ratio exponential families
R Brekelmans, F Nielsen, A Makhzani, A Galstyan, GV Steeg
arXiv preprint arXiv:2012.15480, 2020
42020
Compressing multisets with large alphabets
D Severo, J Townsend, A Khisti, A Makhzani, K Ullrich
2022 Data Compression Conference (DCC), 322-331, 2022
22022
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
R Brekelmans, S Huang, M Ghassemi, G Ver Steeg, RB Grosse, ...
International Conference on Learning Representations, 2021
12021
Action Matching: A Variational Method for Learning Stochastic Dynamics from Samples
K Neklyudov, D Severo, A Makhzani
arXiv preprint arXiv:2210.06662, 2022
2022
Few Shot Image Generation via Implicit Autoencoding of Support Sets
A Huang, KC Wang, G Rabusseau, A Makhzani
Fifth Workshop on Meta-Learning at the Conference on Neural Information …, 2021
2021
Your Dataset is a Multiset and You Should Compress it Like One
D Severo, J Townsend, AJ Khisti, A Makhzani, K Ullrich
NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021
2021
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