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
283 2019 Building normalizing flows with stochastic interpolants MS Albergo, E Vanden-Eijnden
arXiv preprint arXiv:2209.15571, ICLR, 2022
280 2022 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
257 2020 Stochastic interpolants: A unifying framework for flows and diffusions MS Albergo, NM Boffi, E Vanden-Eijnden
arXiv preprint arXiv:2303.08797, 2023
221 2023 Sampling using D Boyda, G Kanwar, S Racanière, DJ Rezende, MS Albergo, K Cranmer, ...
Physical Review D 103 (7), 074504, 2021
175 2021 Normalizing flows on tori and spheres DJ Rezende, G Papamakarios, S Racanière, MS Albergo, G Kanwar, ...
ICML 2020, 2020
173 2020 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
ECCV 2024, 2024
111 2024 Flow-based sampling for fermionic lattice field theories MS Albergo, G Kanwar, S Racanière, DJ Rezende, JM Urban, D Boyda, ...
Physical Review D 104 (11), 114507, 2021
62 2021 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
51 2019 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
49 2022 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
43 2021 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
43 2016 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
38 2021 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
35 2022 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
29 2023 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
22 2022 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
19 2023 Stochastic interpolants with data-dependent couplings MS Albergo, M Goldstein, NM Boffi, R Ranganath, E Vanden-Eijnden
ICML 2024 (Spotlight), 2023
18 2023 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
14 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
12 2023 
Gurtej KanwarUniversity of EdinburghZweryfikowany adres z ed.ac.uk