Daniel C. Hackett

18 papers Journal 18
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
2025 J jnl
Filtered Rayleigh-Ritz is all you need.
CoRR
Ryan Abbott, Daniel C. Hackett, George T. Fleming, Dimitra A. Pefkou, Michael L. Wagman
2025 J jnl
Improving Neutrino Oscillation Measurements through Event Classification.
CoRR
Sebastian A. R. Ellis, Daniel C. Hackett, Shirley Weishi Li, Pedro A. N. Machado, Karla Tame-Narvaez
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
Block Lanczos for lattice QCD spectroscopy and matrix elements.
CoRR
Daniel C. Hackett, Michael L. Wagman
2024 J jnl
Machine Learning Neutrino-Nucleus Cross Sections.
CoRR
Daniel C. Hackett, Joshua Isaacson, Shirley Weishi Li, Karla Tame-Narvaez, Michael L. Wagman
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
Applications of Machine Learning to Lattice Quantum Field Theory.
CoRR
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
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 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
2022 J jnl
Neural-network preconditioners for solving the Dirac equation in lattice gauge theory.
CoRR
Salvatore Calì, Daniel C. Hackett, Yin Lin, Phiala E. Shanahan, Brian Xiao
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
2021 J jnl
Flow-based sampling for multimodal distributions in lattice field theory.
CoRR
Daniel C. Hackett, Chung-Chun Hsieh, Michael S. Albergo, Denis Boyda, Jiunn-Wei Chen, Kai-Feng Chen, Kyle Cranmer, Gurtej Kanwar, Phiala E. Shanahan
2021 J jnl
Introduction to Normalizing Flows for Lattice Field Theory.
CoRR
Michael S. Albergo, Denis Boyda, Daniel C. Hackett, Gurtej Kanwar, Kyle Cranmer, Sébastien Racanière, Danilo Jimenez Rezende, Phiala E. Shanahan
2020 J jnl
Equivariant flow-based sampling for lattice gauge theory.
CoRR
Gurtej Kanwar, Michael S. Albergo, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Sébastien Racanière, Danilo Jimenez Rezende, Phiala E. Shanahan
2020 J jnl
Sampling using SU(N) gauge equivariant flows.
CoRR
Denis Boyda, Gurtej Kanwar, Sébastien Racanière, Danilo Jimenez Rezende, Michael S. Albergo, Kyle Cranmer, Daniel C. Hackett, Phiala E. Shanahan