| Adversarial autoencoders A Makhzani, J Shlens, N Jaitly, I Goodfellow, B Frey International Conference on Learning Representations (ICLR) 2016 Workshop, 2015 | 3533* | 2015 |
| 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 | 1136 | 2017 |
| k-Sparse Autoencoders A Makhzani, B Frey International Conference on Learning Representations (ICLR) 2014, 2014 | 497* | 2014 |
| Winner-take-all autoencoders A Makhzani, BJ Frey Advances in Neural Information Processing Systems (NeurIPS) 2015, 2015 | 323 | 2015 |
| Pixelgan autoencoders A Makhzani, BJ Frey Advances in Neural Information Processing Systems (NeurIPS) 2017, 2017 | 131 | 2017 |
| Variational model inversion attacks KC Wang, Y Fu, K Li, A Khisti, R Zemel, A Makhzani Advances in Neural Information Processing Systems (NeurIPS) 2021, 2021 | 112 | 2021 |
| A winner-take-all method for training sparse convolutional autoencoders A Makhzani, B Frey Advances in Neural Information Processing Systems (NeurIPS) Deep Learning …, 2014 | 44 | 2014 |
| Action Matching: Learning Stochastic Dynamics from Samples K Neklyudov, R Brekelmans, D Severo, A Makhzani International Conference on Machine Learning (ICML) 2023, 2023 | 38 | 2023 |
| Implicit autoencoders A Makhzani arXiv preprint arXiv:1805.09804, 2018 | 32 | 2018 |
| 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) 2021 (Long Oral Talk), 2021 | 29 | 2021 |
| Evaluating Lossy Compression Rates of Deep Generative Models S Huang, A Makhzani, Y Cao, R Grosse International Conference on Machine Learning (ICML) 2019, 2019 | 24 | 2019 |
| Unsupervised representation learning with autoencoders A Makhzani PhD Thesis, University of Toronto (Canada) 2018, 2018 | 20 | 2018 |
| Reconstruction of jointly sparse signals using iterative hard thresholding A Makhzani, S Valaee IEEE International Conference on Communications (ICC) 2012, 2012 | 15 | 2012 |
| A computational framework for solving Wasserstein Lagrangian flows K Neklyudov, R Brekelmans, A Tong, L Atanackovic, Q Liu, A Makhzani International Conference on Machine Learning (ICML) 2024, 2024 | 12 | 2024 |
| 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, 2022 | 12 | 2022 |
| Distributed spectrum sensing in cognitive radios via graphical models A Makhzani, S Valaee IEEE International Workshop on Computational Advances in Multi-Sensor …, 2013 | 12 | 2013 |
| 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) 2023 (Spotlight …, 2023 | 11 | 2023 |
| 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 (Special Issue on …, 2022 | 11* | 2022 |
| Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo S Zhao, R Brekelmans, A Makhzani, R Grosse International Conference on Machine Learning (ICML) 2024 (Best Paper Award), 2024 | 9 | 2024 |
| Likelihood ratio exponential families R Brekelmans, F Nielsen, A Makhzani, A Galstyan, GV Steeg Advances in Neural Information Processing Systems (NeurIPS) Workshop on Deep …, 2020 | 7* | 2020 |
Brendan FreyFounder & CEO, Deep Genomics; Co-Founder, Vector Institute; Professor, University of TorontoVerified email at psi.toronto.edu
