← Authors

Alireza Makhzani

14 papers · 2015–2024 · 3 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (10) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (23) 🌍 Conference Polyglot (3) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (9) 🧬 Topic Evolution πŸ† Keyword Champion (3) πŸ”₯ Unstoppable (5) ⚑ Prolific Year (5) πŸ’Ž Century Club (14) ❓ The Questioner πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (51)

Conferences

ICML (8) NIPS (5) ICLR (1)

Top co-authors

Kirill Neklyudov (4) Rob Brekelmans (4) Ashish Khisti (3) Daniel Severo (3) James Townsend (2) Roger Baker Grosse (2) Felix Dangel (2) Richard E. Turner (2) Sicong Huang (2) Wu Lin (2)

Keywords

bits-back coding (3) lossless compression (2) generative adversarial network (2) variational inference (2) similarity search (1) sparse representation (1) image classification (1) gradient flow (1) image reconstruction (1) deep learning (1) marginal likelihood (1) monte carlo estimation (1) hierarchical representation (1) semi-supervised classification (1) latent variable model (1) model evaluation (1) generative model (1) variational autoencoder (1) 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