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Alireza Makhzani

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Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective

Feb 13, 2024
Wu Lin, Felix Dangel, Runa Eschenhagen, Juhan Bae, Richard E. Turner, Alireza Makhzani

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Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC for Large Neural Nets

Dec 16, 2023
Wu Lin, Felix Dangel, Runa Eschenhagen, Kirill Neklyudov, Agustinus Kristiadi, Richard E. Turner, Alireza Makhzani

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A Computational Framework for Solving Wasserstein Lagrangian Flows

Oct 17, 2023
Kirill Neklyudov, Rob Brekelmans, Alexander Tong, Lazar Atanackovic, Qiang Liu, Alireza Makhzani

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Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation

Jul 17, 2023
Kirill Neklyudov, Jannes Nys, Luca Thiede, Juan Carrasquilla, Qiang Liu, Max Welling, Alireza Makhzani

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Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs

May 16, 2023
Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani

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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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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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Action Matching: A Variational Method for Learning Stochastic Dynamics from Samples

Oct 13, 2022
Kirill Neklyudov, Daniel Severo, Alireza Makhzani

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