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Michael S. Albergo
Michael S. Albergo
Courant Institute of Mathematical Sciences
E-mailová adresa ověřena na: nyu.edu - Domovská stránka
Název
Citace
Citace
Rok
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
2332019
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
2142020
Normalizing flows on tori and spheres
DJ Rezende, G Papamakarios, S Racanière, MS Albergo, G Kanwar, ...
ICML 2020, 2020
1482020
Sampling using gauge equivariant flows
D Boyda, G Kanwar, S Racanière, DJ Rezende, MS Albergo, K Cranmer, ...
Physical Review D 103 (7), 074504, 2021
1432021
Building normalizing flows with stochastic interpolants
MS Albergo, E Vanden-Eijnden
arXiv preprint arXiv:2209.15571, 2022
1342022
Stochastic interpolants: A unifying framework for flows and diffusions
MS Albergo, NM Boffi, E Vanden-Eijnden
arXiv preprint arXiv:2303.08797, 2023
1032023
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
552021
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
502019
Search for the supersymmetric partner of the top quark in the Jets+ Emiss final state at sqrt (s)= 13 TeV
ATLAS collaboration, ATLAS Collaboration
ATLAS, Geneva, Switzerland, ATLAS-CONF-2016-077, 2016
432016
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
352022
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
352021
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
292021
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
282022
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
N Ma, M Goldstein, MS Albergo, NM Boffi, E Vanden-Eijnden, S Xie
arXiv preprint arXiv:2401.08740, 2024
212024
Sampling QCD field configurations with gauge-equivariant flow models
R Abbott, MS Albergo, A Botev, D Boyda, K Cranmer, DC Hackett, ...
Sissa Medialab, 2022
182022
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
152023
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
122023
Introduction to normalizing flows for lattice field theory (2021)
MS Albergo, D Boyda, DC Hackett, G Kanwar, K Cranmer, S Racanière, ...
arXiv preprint arXiv:2101.08176, 0
12
Stochastic interpolants with data-dependent couplings
MS Albergo, M Goldstein, NM Boffi, R Ranganath, E Vanden-Eijnden
arXiv preprint arXiv:2310.03725, 2023
82023
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
82023
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–20