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Michael S. Albergo — most-cited papers & profile · Computer Vision
← authors
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overview
Michael S. Albergo
11
papers ·
0
citations ·
0
h-index
Microsoft (United States) · Microsoft Research (United Kingdom)
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Most-cited papers
A unified perspective on fine-tuning and sampling with diffusion and flow models
2026
Discrete Flow Maps
2026
Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation
2026
Test-time scaling of diffusions with flow maps
2025
Multitask Learning with Stochastic Interpolants
2025
The learnability scaling of quantum states: restricted Boltzmann machines
2019
Sampling using $SU(N)$ gauge equivariant flows
2020
Introduction to Normalizing Flows for Lattice Field Theory
2021
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
2023
Practical applications of machine-learned flows on gauge fields
2024
Flow map matching with stochastic interpolants: A mathematical framework for consistency models
2024
Topics
cs.LG
stat.ML
cs.AI
math.DS
Uncategorized
math.OC
Quantum Machine Learning
Quantum Software
Quantum Simulation
Theory