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09/03/2023
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics
Sampling from known probability distributions is a ubiquitous task in co...
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05/03/2023
Normalizing flows for lattice gauge theory in arbitrary space-time dimension
Applications of normalizing flows to the sampling of field configuration...
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07/18/2022
Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions
This work presents gauge-equivariant architectures for flow-based sampli...
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02/23/2022
Flow-based sampling in the lattice Schwinger model at criticality
Recent results suggest that flow-based algorithms may provide efficient ...
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07/01/2021
Flow-based sampling for multimodal distributions in lattice field theory
Recent results have demonstrated that samplers constructed with flow-bas...
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06/10/2021
Flow-based sampling for fermionic lattice field theories
Algorithms based on normalizing flows are emerging as promising machine ...
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06/03/2021
Machine Learning and Variational Algorithms for Lattice Field Theory
In lattice quantum field theory studies, parameters defining the lattice...
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01/20/2021
Introduction to Normalizing Flows for Lattice Field Theory
This notebook tutorial demonstrates a method for sampling Boltzmann dist...
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08/12/2020
Sampling using SU(N) gauge equivariant flows
We develop a flow-based sampling algorithm for SU(N) lattice gauge theor...
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03/13/2020
Equivariant flow-based sampling for lattice gauge theory
We define a class of machine-learned flow-based sampling algorithms for ...
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02/06/2020
Normalizing Flows on Tori and Spheres
Normalizing flows are a powerful tool for building expressive distributi...
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01/02/2018