Equivariant flow-based sampling for lattice gauge theory. - Gurtej Kanwar; Michael S. Albergo; Denis Boyda; Kyle Cranmer; Daniel C. Hackett; Sébastien Racanière; Danilo Jimenez Rezende; Phiala E. Shanahan (CoRR, 2020)

Sampling using SU(N) gauge equivariant flows. - Denis Boyda; Gurtej Kanwar; Sébastien Racanière; Danilo Jimenez Rezende; Michael S. Albergo; Kyle Cranmer; Daniel C. Hackett; Phiala E. Shanahan (CoRR, 2020)

Introduction to Normalizing Flows for Lattice Field Theory. - Michael S. Albergo; Denis Boyda; Daniel C. Hackett; Gurtej Kanwar; Kyle Cranmer; Sébastien Racanière; Danilo Jimenez Rezende; Phiala E. Shanahan (CoRR, 2021)

Flow-based sampling for fermionic lattice field theories. - Michael S. Albergo; Gurtej Kanwar; Sébastien Racanière; Danilo J. Rezende; Julian M. Urban; Denis Boyda; Kyle Cranmer; Daniel C. Hackett; Phiala E. Shanahan (CoRR, 2021)

Flow-based sampling for multimodal distributions in lattice field theory. - Daniel C. Hackett; Chung-Chun Hsieh; Michael S. Albergo; Denis Boyda; Jiunn-Wei Chen; Kai-Feng Chen; Kyle Cranmer; Gurtej Kanwar; Phiala E. Shanahan (CoRR, 2021)

Applications of Machine Learning to Lattice Quantum Field Theory. - Denis Boyda; Salvatore Calì; Sam Foreman; Lena Funcke; Daniel C. Hackett; Yin Lin; Gert Aarts; Andrei Alexandru; Xiao-Yong Jin; Biagio Lucini; Phiala E. Shanahan (CoRR, 2022)

Flow-based sampling in the lattice Schwinger model at criticality. - Michael S. Albergo; Denis Boyda; Kyle Cranmer; Daniel C. Hackett; Gurtej Kanwar; Sébastien Racanière; Danilo J. Rezende; Fernando Romero-López; Phiala E. Shanahan; Julian M. Urban (CoRR, 2022)

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)