Concepedia

Michael S. Albergo

MS

15

Publications

780

Citations

13

H-Index

2019

Active since

Affiliations

Massachusetts Institute of Technology(Current)

Google DeepMind (United Kingdom)

New York University

Argonne National Laboratory

The NSF AI Institute for Artificial Intelligence and Fundamental Interactions

Michael S. Albergo is an author at Massachusetts Institute of Technology specializing in engineering, natural sciences, and quantum field theory.

ORCID

Top concepts

Publications per year

2019–2023

15

Publications

15

Flow-based generative models for Markov chain Monte Carlo in lattice field theory

Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan · Physical review. D/Physical review. D. · 2019 · 217 citations · Full text

Equivariant Flow-Based Sampling for Lattice Gauge Theory

Gurtej Kanwar, Michael S. Albergo, Denis Boyda et al. · Physical Review Letters · 2020 · 192 citations · Full text

Normalizing Flows on Tori and Spheres

Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière et al. · arXiv (Cornell University) · 2020 · 58 citations · Full text

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Learnability scaling of quantum states: Restricted Boltzmann machines

Dan Sehayek, Anna Golubeva, Michael S. Albergo et al. · Physical review. B./Physical review. B · 2019 · 52 citations · Full text

Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions

Ryan Abbott, Michael S. Albergo, Denis Boyda et al. · Physical review. D/Physical review. D. · 2022 · 44 citations · Full text

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