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Alireza Makhzani
Alireza Makhzani
Faculty Member at Vector Institute, University of Toronto
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
31272015
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
9892017
k-Sparse Autoencoders
A Makhzani, B Frey
International Conference on Learning Representations (ICLR), 2014
438*2014
Winner-take-all autoencoders
A Makhzani, BJ Frey
Advances in Neural Information Processing Systems (NeurIPS), 2015
2972015
Pixelgan autoencoders
A Makhzani, BJ Frey
Advances in Neural Information Processing Systems (NeurIPS), 2017
1232017
Variational model inversion attacks
KC Wang, Y Fu, K Li, A Khisti, R Zemel, A Makhzani
Advances in Neural Information Processing Systems (NeurIPS), 2021
502021
A winner-take-all method for training sparse convolutional autoencoders
A Makhzani, B Frey
NeurIPS Deep Learning Workshop, 2014
412014
Implicit autoencoders
A Makhzani
arXiv preprint arXiv:1805.09804, 2018
282018
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 (ICML), oral, 2021
252021
Evaluating Lossy Compression Rates of Deep Generative Models
S Huang, A Makhzani, Y Cao, R Grosse
International Conference on Machine Learning (ICML), 2019
202019
Unsupervised representation learning with autoencoders
A Makhzani
University of Toronto (Canada), 2018
182018
Action Matching: Learning Stochastic Dynamics from Samples
K Neklyudov, R Brekelmans, D Severo, A Makhzani
International Conference on Machine Learning (ICML), 2023
14*2023
Reconstruction of jointly sparse signals using iterative hard thresholding
A Makhzani, S Valaee
IEEE International Conference on Communications (ICC), 2012
132012
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
Improving mutual information estimation with annealed and energy-based bounds
R Brekelmans, S Huang, M Ghassemi, GV Steeg, R Grosse, A Makhzani
International Conference on Learning Representations (ICLR), 2022
92022
Likelihood ratio exponential families
R Brekelmans, F Nielsen, A Makhzani, A Galstyan, GV Steeg
NeurIPS Workshop on Deep Learning through Information Geometry, 2020
7*2020
Compressing Multisets with Large Alphabets using Bits-Back Coding
D Severo, J Townsend, A Khisti, A Makhzani, K Ullrich
IEEE Journal on Selected Areas in Information Theory, 2022
5*2022
Reconstruction of a generalized joint sparsity model using principal component analysis
A Makhzani, S Valaee
IEEE International Workshop on Computational Advances in Multi-Sensor …, 2011
52011
Your Dataset is a Multiset and You Should Compress it Like One
D Severo, J Townsend, AJ Khisti, A Makhzani, K Ullrich
NeurIPS Workshop on Deep Generative Models, oral, best paper award, 2021
32021
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation
K Neklyudov, J Nys, L Thiede, J Carrasquilla, Q Liu, M Welling, ...
Advances in Neural Information Processing Systems (NeurIPS), spotlight, 2023
22023
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