| Flow-based generative models for Markov chain Monte Carlo in lattice field theory MS Albergo, G Kanwar, PE Shanahan Physical Review D 100 (3), 034515, 2019 | 156 | 2019 |
| Equivariant flow-based sampling for lattice gauge theory G Kanwar, MS Albergo, D Boyda, K Cranmer, DC Hackett, S Racaniere, ... Physical Review Letters 125 (12), 121601, 2020 | 138 | 2020 |
| Sampling using gauge equivariant flows D Boyda, G Kanwar, S Racanière, DJ Rezende, MS Albergo, K Cranmer, ... Physical Review D 103 (7), 074504, 2021 | 97 | 2021 |
| Normalizing flows on tori and spheres DJ Rezende, G Papamakarios, S Racaniere, M Albergo, G Kanwar, ... International Conference on Machine Learning, 8083-8092, 2020 | 89 | 2020 |
| Simit: A language for physical simulation F Kjolstad, S Kamil, J Ragan-Kelley, DIW Levin, S Sueda, D Chen, ... ACM Transactions on Graphics (TOG) 35 (2), 1-21, 2016 | 61 | 2016 |
| 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 | 27 | 2021 |
| Path integral contour deformations for observables in gauge theory W Detmold, G Kanwar, H Lamm, ML Wagman, NC Warrington Physical Review D 103 (9), 094517, 2021 | 24 | 2021 |
| 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 | 19 | 2021 |
| Path integral contour deformations for noisy observables W Detmold, G Kanwar, ML Wagman, NC Warrington Physical Review D 102 (1), 014514, 2020 | 16 | 2020 |
| Real-time lattice gauge theory actions: Unitarity, convergence, and path integral contour deformations G Kanwar, ML Wagman Physical Review D 104 (1), 014513, 2021 | 14 | 2021 |
| 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 | 13 | 2021 |
| Phase unwrapping and one-dimensional sign problems W Detmold, G Kanwar, ML Wagman Physical Review D 98 (7), 074511, 2018 | 11 | 2018 |
| Algorithms, bounds, and strategies for entangled XOR games AB Watts, AW Harrow, G Kanwar, A Natarajan arXiv preprint arXiv:1801.00821, 2018 | 10 | 2018 |
| 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 | 9 | 2022 |
| 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 | |
| Lattice Analysis of with 1 Adjoint Dirac Flavor Z Bi, A Grebe, G Kanwar, P Ledwith, D Murphy, ML Wagman arXiv preprint arXiv:1912.11723, 2019 | 7 | 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 | 6 | 2022 |
| 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 | 6 | 2022 |
| 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 | |
| Machine Learning and Variational Algorithms for Lattice Field Theory G Kanwar arXiv preprint arXiv:2106.01975, 2021 | 3 | 2021 |
Michael S. AlbergoGraduate Student, New York UniversityVerified email at nyu.edu
