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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
1562019
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
1382020
Sampling using gauge equivariant flows
D Boyda, G Kanwar, S Racanière, DJ Rezende, MS Albergo, K Cranmer, ...
Physical Review D 103 (7), 074504, 2021
972021
Normalizing flows on tori and spheres
DJ Rezende, G Papamakarios, S Racanière, MS Albergo, G Kanwar, ...
ICML 2020, 2020
892020
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
372019
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
272021
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
192021
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
132021
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
92022
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
9
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
62022
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
62022
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
5
Building normalizing flows with stochastic interpolants
MS Albergo, E Vanden-Eijnden
arXiv preprint arXiv:2209.15571, 2022
22022
Aspects of scaling and scalability for flow-based sampling of lattice QCD
R Abbott, MS Albergo, A Botev, D Boyda, K Cranmer, DC Hackett, ...
arXiv preprint arXiv:2211.07541, 2022
12022
Non-Hertz-Millis scaling of the antiferromagnetic quantum critical metal via scalable Hybrid Monte Carlo
P Lunts, MS Albergo, M Lindsey
arXiv preprint arXiv:2204.14241, 2022
2022
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