Alireza Makhzani
University of Toronto
H-index: 13
North America-Canada
Top articles of Alireza Makhzani
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo | arXiv preprint arXiv:2404.17546 | Stephen Zhao Rob Brekelmans Alireza Makhzani Roger Grosse | 2024/4/26 |
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective | arXiv preprint arXiv:2402.03496 | Wu Lin Felix Dangel Runa Eschenhagen Juhan Bae Richard E Turner | 2024/2/5 |
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs | arXiv preprint arXiv:2305.09705 | Daniel Severo James Townsend Ashish Khisti Alireza Makhzani | 2023/5/16 |
Action Matching: Learning Stochastic Dynamics from Samples | International Conference on Machine Learning (ICML) | Kirill Neklyudov Rob Brekelmans Daniel Severo Alireza Makhzani | 2023/4/24 |
Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC for Large Neural Nets | arXiv preprint arXiv:2312.05705 | Wu Lin Felix Dangel Runa Eschenhagen Kirill Neklyudov Agustinus Kristiadi | 2023/12/9 |
Quantum hypernetworks: Training binary neural networks in quantum superposition | arXiv preprint arXiv:2301.08292 | Juan Carrasquilla Mohamed Hibat-Allah Estelle Inack Alireza Makhzani Kirill Neklyudov | 2023/1/19 |
A computational framework for solving Wasserstein Lagrangian flows | arXiv preprint arXiv:2310.10649 | Kirill Neklyudov Rob Brekelmans Alexander Tong Lazar Atanackovic Qiang Liu | 2023/10/16 |
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation | Advances in Neural Information Processing Systems | Kirill Neklyudov Jannes Nys Luca Thiede Juan Carrasquilla Qiang Liu | 2024/2/13 |
Compressing Multisets with Large Alphabets using Bits-Back Coding | IEEE Journal on Selected Areas in Information Theory | Daniel Severo James Townsend Ashish Khisti Alireza Makhzani Karen Ullrich | 2022 |
Improving mutual information estimation with annealed and energy-based bounds | Rob Brekelmans Sicong Huang Marzyeh Ghassemi Greg Ver Steeg Roger Baker Grosse | 2022 | |
Variational model inversion attacks | Advances in Neural Information Processing Systems | Kuan-Chieh Wang Yan Fu Ke Li Ashish Khisti Richard Zemel | 2021/12/6 |
Few Shot Image Generation via Implicit Autoencoding of Support Sets | Andy Huang Kuan-Chieh Wang Guillaume Rabusseau Alireza Makhzani | 2021/9/30 | |
Improving lossless compression rates via monte carlo bits-back coding | In International Conference on Machine Learning (ICML) 2021 | Yangjun Ruan Karen Ullrich Daniel Severo James Townsend Ashish Khisti | 2021/2/22 |
Likelihood ratio exponential families | arXiv preprint arXiv:2012.15480 | Rob Brekelmans Frank Nielsen Alireza Makhzani Aram Galstyan Greg Ver Steeg | 2020/12/31 |
Co-Authors
