| 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 | 165 | 2019 |
| 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 | 153 | 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 | 109 | 2021 |
| Normalizing flows on tori and spheres DJ Rezende, G Papamakarios, S Racanière, MS Albergo, G Kanwar, ... ICML 2020, 2020 | 97 | 2020 |
| 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 | 41 | 2019 |
| 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 | 33 | 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 | 23 | 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 | 14 | 2021 |
| 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 | 12 | 2022 |
| 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 | 10 | 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 | 10 | |
| 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 |
| Building normalizing flows with stochastic interpolants MS Albergo, E Vanden-Eijnden arXiv preprint arXiv:2209.15571, 2022 | 5 | 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 | |
| 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 | 3 | 2022 |
| Stochastic Interpolants: A Unifying Framework for Flows and Diffusions MS Albergo, NM Boffi, E Vanden-Eijnden arXiv preprint arXiv:2303.08797, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
Gurtej KanwarUniversity of BernVerified email at itp.unibe.ch
