Julian M. Urban

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Variance reduction in lattice QCD observables via normalizing flows.
CoRR
Ryan Abbott, Denis Boyda, Yang Fu, Daniel C. Hackett, Gurtej Kanwar, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban
2024 J jnl
Applications of flow models to the generation of correlated lattice QCD ensembles.
CoRR
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
2024 J jnl
Practical applications of machine-learned flows on gauge fields.
CoRR
Ryan Abbott, Michael S. Albergo, Denis Boyda, Daniel C. Hackett, Gurtej Kanwar, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban
2023 J jnl
Normalizing flows for lattice gauge theory in arbitrary space-time dimension.
CoRR
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, Phiala E. Shanahan, Julian M. Urban
2022 J jnl
Aspects of scaling and scalability for flow-based sampling of lattice QCD.
CoRR
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, Julian M. Urban
2022 J jnl
Flow-based density of states for complex actions.
CoRR
Jan M. Pawlowski, Julian M. Urban
2022 J jnl
Flow-based sampling in the lattice Schwinger model at criticality.
CoRR
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
2022 J jnl
Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions.
CoRR
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
2021 J jnl
Flow-based sampling for fermionic lattice field theories.
CoRR
Michael S. Albergo, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Julian M. Urban, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Phiala E. Shanahan
2020 J jnl
Reducing autocorrelation times in lattice simulations with generative adversarial networks.
Mach. Learn. Sci. Technol.
Jan M. Pawlowski, Julian M. Urban
2020 J jnl
Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning.
CoRR
Stefan Bluecher, Lukas Kades, Jan M. Pawlowski, Nils Strodthoff, Julian M. Urban
2019 J jnl
Spectral Reconstruction with Deep Neural Networks.
CoRR
Lukas Kades, Jan M. Pawlowski, Alexander Rothkopf, Manuel Scherzer, Julian M. Urban, Sebastian Johann Wetzel, Nicolas Wink, Felix Ziegler