Daniel C. Hackett

According to our database1, Daniel C. Hackett authored at least 15 papers between 2020 and 2024.

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

Timeline

2020
2021
2022
2023
2024
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1
2
3
4
5
6
4
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5
3
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Machine Learning Neutrino-Nucleus Cross Sections.
CoRR, 2024

Block Lanczos for lattice QCD spectroscopy and matrix elements.
CoRR, 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
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


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