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2020 – today
- 2024
[i10]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:
Applications of flow models to the generation of correlated lattice QCD ensembles. CoRR abs/2401.10874 (2024)- [i9]Ryan Abbott, Michael S. Albergo, Denis Boyda, Daniel C. Hackett, Gurtej Kanwar, Fernando Romero-López, Phiala E. Shanahan, Julian M. Urban:
Practical applications of machine-learned flows on gauge fields. CoRR abs/2404.11674 (2024) - 2023
- [i8]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:
Normalizing flows for lattice gauge theory in arbitrary space-time dimension. CoRR abs/2305.02402 (2023) - 2022
- [i7]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:
Flow-based sampling in the lattice Schwinger model at criticality. CoRR abs/2202.11712 (2022) - [i6]Jan M. Pawlowski, Julian M. Urban:
Flow-based density of states for complex actions. CoRR abs/2203.01243 (2022) - [i5]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:
Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions. CoRR abs/2207.08945 (2022) - [i4]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:
Aspects of scaling and scalability for flow-based sampling of lattice QCD. CoRR abs/2211.07541 (2022) - 2021
- [i3]Michael S. Albergo, Gurtej Kanwar, Sébastien Racanière, Danilo J. Rezende, Julian M. Urban, Denis Boyda, Kyle Cranmer, Daniel C. Hackett, Phiala E. Shanahan:
Flow-based sampling for fermionic lattice field theories. CoRR abs/2106.05934 (2021) - 2020
- [j1]Jan M. Pawlowski, Julian M. Urban:
Reducing autocorrelation times in lattice simulations with generative adversarial networks. Mach. Learn. Sci. Technol. 1(4): 45011 (2020) - [i2]Stefan Bluecher, Lukas Kades, Jan M. Pawlowski, Nils Strodthoff, Julian M. Urban:
Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning. CoRR abs/2003.01504 (2020)
2010 – 2019
- 2019
- [i1]Lukas Kades, Jan M. Pawlowski, Alexander Rothkopf, Manuel Scherzer, Julian M. Urban, Sebastian Johann Wetzel, Nicolas Wink, Felix Ziegler:
Spectral Reconstruction with Deep Neural Networks. CoRR abs/1905.04305 (2019)
Coauthor Index
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