Follow
Michael S. Albergo
Michael S. Albergo
Graduate Student, New York University
Verified email at nyu.edu - Homepage
Title
Cited by
Cited by
Year
Flow-based generative models for Markov chain Monte Carlo in lattice field theory
MS Albergo, G Kanwar, PE Shanahan
Phys. Rev. D 100 (3), 2019
2022019
Equivariant flow-based sampling for lattice gauge theory
G Kanwar, MS Albergo, D Boyda, K Cranmer, DC Hackett, S Racanière, ...
Phys. Rev. Lett. 125 (12), 2020
1852020
Sampling using gauge equivariant flows
D Boyda, G Kanwar, S Racanière, DJ Rezende, MS Albergo, K Cranmer, ...
Physical Review D 103 (7), 074504, 2021
1262021
Normalizing flows on tori and spheres
DJ Rezende, G Papamakarios, S Racanière, MS Albergo, G Kanwar, ...
ICML 2020, 2020
1202020
Building normalizing flows with stochastic interpolants
MS Albergo, E Vanden-Eijnden
arXiv preprint arXiv:2209.15571, 2022
572022
Learnability scaling of quantum states: Restricted Boltzmann machines
D Sehayek, A Golubeva, MS Albergo, B Kulchytskyy, G Torlai, RG Melko
Physical Review B 100 (19), 195125, 2019
472019
Flow-based sampling for fermionic lattice field theories
MS Albergo, G Kanwar, S Racaniere, DJ Rezende, JM Urban, D Boyda, ...
Physical Review D 104 (11), 114507, 2021
432021
Stochastic interpolants: A unifying framework for flows and diffusions
MS Albergo, NM Boffi, E Vanden-Eijnden
arXiv preprint arXiv:2303.08797, 2023
282023
Introduction to normalizing flows for lattice field theory
MS Albergo, D Boyda, DC Hackett, G Kanwar, K Cranmer, S Racaniere, ...
arXiv preprint arXiv:2101.08176, 2021
282021
Flow-based sampling for multimodal distributions in lattice field theory
DC Hackett, CC Hsieh, MS Albergo, D Boyda, JW Chen, KF Chen, ...
arXiv preprint arXiv:2107.00734, 2021
222021
Flow-based sampling in the lattice Schwinger model at criticality
MS Albergo, D Boyda, K Cranmer, DC Hackett, G Kanwar, S Racanière, ...
Physical Review D 106 (1), 014514, 2022
212022
Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions
R Abbott, MS Albergo, D Boyda, K Cranmer, DC Hackett, G Kanwar, ...
Physical Review D 106 (7), 074506, 2022
192022
Flow-based sampling for multimodal distributions in lattice field theory (2021)
DC Hackett, CC Hsieh, MS Albergo, D Boyda, JW Chen, KF Chen, ...
arXiv preprint arXiv:2107.00734, 0
12
Sampling QCD field configurations with gauge-equivariant flow models
R Abbott, MS Albergo, A Botev, D Boyda, K Cranmer, DC Hackett, ...
arXiv preprint arXiv:2208.03832, 2022
112022
Aspects of scaling and scalability for flow-based sampling of lattice QCD
R Abbott, MS Albergo, A Botev, D Boyda, K Cranmer, DC Hackett, ...
The European Physical Journal A 59 (11), 257, 2023
62023
Sampling using SU (N) gauge equivariant flows,(2020)
D Boyda, G Kanwar, S Racaniere, DJ Rezende, MS Albergo, K Cranmer, ...
arXiv preprint arXiv:2008.05456, 0
6
Non-Hertz-Millis scaling of the antiferromagnetic quantum critical metal via scalable Hybrid Monte Carlo
P Lunts, MS Albergo, M Lindsey
Nature communications 14 (1), 2547, 2023
52023
Stochastic interpolants with data-dependent couplings
MS Albergo, M Goldstein, NM Boffi, R Ranganath, E Vanden-Eijnden
arXiv preprint arXiv:2310.03725, 2023
12023
Multimarginal generative modeling with stochastic interpolants
MS Albergo, NM Boffi, M Lindsey, E Vanden-Eijnden
arXiv preprint arXiv:2310.03695, 2023
12023
Normalizing flows for lattice gauge theory in arbitrary space-time dimension
R Abbott, MS Albergo, A Botev, D Boyda, K Cranmer, DC Hackett, ...
arXiv preprint arXiv:2305.02402, 2023
12023
The system can't perform the operation now. Try again later.
Articles 1–20