Alireza Makhzani
14 papers · 2015–2024 · 3 conferences · across top CS/AI conferences
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Conferences
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NIPS (5)
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Keywords
bits-back coding
(3)
lossless compression
(2)
generative adversarial network
(2)
variational inference
(2)
similarity search
(1)
sparse representation
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image classification
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gradient flow
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image reconstruction
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deep learning
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marginal likelihood
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monte carlo estimation
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hierarchical representation
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semi-supervised classification
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latent variable model
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model evaluation
(1)
generative model
(1)
variational autoencoder
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rate distortion
(1)
optimal transport
(1)
Papers
Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC
ICML 2024
A Computational Framework for Solving Wasserstein Lagrangian Flows
ICML 2024
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
ICML 2024
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
ICML 2024
Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding
NIPS 2024
Action Matching: Learning Stochastic Dynamics from Samples
ICML 2023
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body SchrΓΆdinger Equation
NIPS 2023
One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding
ICML 2023
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
ICLR 2022
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
ICML 2021
Variational Model Inversion Attacks
NIPS 2021
Evaluating Lossy Compression Rates of Deep Generative Models
ICML 2020
PixelGAN Autoencoders
NIPS 2017
Winner-Take-All Autoencoders
NIPS 2015