Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions. - Ryan Abbott; Michael S. Albergo; Denis Boyda; Kyle Cranmer; Daniel C. Hackett; Gurtej Kanwar; Sébastien Racanière; Danilo J. Rezende; Fernando Romero-López; Phiala E. Shanahan; Betsy Tian; Julian M. Urban (CoRR, 2022)

Aspects of scaling and scalability for flow-based sampling of lattice QCD. - Ryan Abbott; Michael S. Albergo; Aleksandar Botev; Denis Boyda; Kyle Cranmer; Daniel C. Hackett; Alexander G. de G. Matthews; Sébastien Racanière; Ali Razavi; Danilo J. Rezende; Fernando Romero-López; Phiala E. Shanahan; et al. (CoRR, 2022)

Normalizing flows for lattice gauge theory in arbitrary space-time dimension. - Ryan Abbott; Michael S. Albergo; Aleksandar Botev; Denis Boyda; Kyle Cranmer; Daniel C. Hackett; Gurtej Kanwar; Alexander G. de G. Matthews; Sébastien Racanière; Ali Razavi; Danilo J. Rezende; Fernando Romero-López; et al. (CoRR, 2023)

Applications of flow models to the generation of correlated lattice QCD ensembles. - Ryan Abbott; Aleksandar Botev; Denis Boyda; Daniel C. Hackett; Gurtej Kanwar; Sébastien Racanière; Danilo J. Rezende; Fernando Romero-López; Phiala E. Shanahan; Julian M. Urban (CoRR, 2024)

Practical applications of machine-learned flows on gauge fields. - Ryan Abbott; Michael S. Albergo; Denis Boyda; Daniel C. Hackett; Gurtej Kanwar; Fernando Romero-López; Phiala E. Shanahan; Julian M. Urban (CoRR, 2024)

Filtered Rayleigh-Ritz is all you need. - Ryan Abbott; Daniel C. Hackett; George T. Fleming; Dimitra A. Pefkou; Michael L. Wagman (CoRR, 2025)