Phiala E. Shanahan

According to our database1, Phiala E. Shanahan authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Practical applications of machine-learned flows on gauge fields.
CoRR, 2024

Applications of flow models to the generation of correlated lattice QCD ensembles.
CoRR, 2024

2023
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics.
CoRR, 2023

Normalizing flows for lattice gauge theory in arbitrary space-time dimension.
CoRR, 2023

2022
Aspects of scaling and scalability for flow-based sampling of lattice QCD.
CoRR, 2022

Neural-network preconditioners for solving the Dirac equation in lattice gauge theory.
CoRR, 2022

Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions.
CoRR, 2022

Flow-based sampling in the lattice Schwinger model at criticality.
CoRR, 2022

Applications of Machine Learning to Lattice Quantum Field Theory.
CoRR, 2022

2021
Flow-based sampling for multimodal distributions in lattice field theory.
CoRR, 2021

Flow-based sampling for fermionic lattice field theories.
CoRR, 2021

Introduction to Normalizing Flows for Lattice Field Theory.
CoRR, 2021

2020
Sampling using SU(N) gauge equivariant flows.
CoRR, 2020

Equivariant flow-based sampling for lattice gauge theory.
CoRR, 2020

Normalizing Flows on Tori and Spheres.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Flow-based generative models for Markov chain Monte Carlo in lattice field theory.
CoRR, 2019


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