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Articles by
Gert Aarts
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics
9 January 2025 by
Gert Aarts
and
others
High Energy Physics
,
Machine Learning
The curvature of the pseudo-critical line in the QCD phase diagram from mesonic lattice correlation functions
30 December 2024 by
Antonio Smecca
and
others
High Energy Physics
Random Matrix Theory for Stochastic Gradient Descent
29 December 2024 by
Chanju Park
and
others
High Energy Physics
,
Disordered Systems and Neural Networks
Diffusion models and stochastic quantisation in lattice field theory
18 December 2024 by
Gert Aarts
and
others
High Energy Physics
,
Disordered Systems and Neural Networks
Stochastic weight matrix dynamics during learning and Dyson Brownian motion
17 December 2024 by
Gert Aarts
and
others
Disordered Systems and Neural Networks
,
Machine Learning
Diffusion models learn distributions generated by complex Langevin dynamics
2 December 2024 by
Diaa Habibi
and
others
High Energy Physics
,
Machine Learning
Thermal lattice QCD results from the FASTSUM collaboration
24 November 2024 by
Chris Allton
and
others
High Energy Physics
Dyson Brownian motion and random matrix dynamics of weight matrices during learning
20 November 2024 by
Gert Aarts
and
others
at
Swansea University
Disordered Systems and Neural Networks
,
High Energy Physics
Towards quantum computing Feynman diagrams in hybrid qubit-oscillator devices
7 November 2024 by
Santiago Varona
and
others
Quantum Physics
,
Quantum Gases
On learning higher-order cumulants in diffusion models
28 October 2024 by
Gert Aarts
and
others
High Energy Physics
,
Disordered Systems and Neural Networks
Diffusion models for lattice gauge field simulations
25 October 2024 by
Qianteng Zhu
and
others
at
RIKEN
High Energy Physics
Diffusion Models as Stochastic Quantization in Lattice Field Theory
9 May 2024 by
Lingxiao Wang
and
others
High Energy Physics
,
Machine Learning
Non-zero temperature study of spin 1/2 charmed baryons using lattice gauge theory
20 March 2024 by
Gert Aarts
and
others
High Energy Physics
Scalar field Restricted Boltzmann Machine as an ultraviolet regulator
1 March 2024 by
Gert Aarts
and
others
High Energy Physics
,
Disordered Systems and Neural Networks
Reconstructed (charm) baryon methods at finite temperature on anisotropic lattices
6 December 2023 by
Ryan Bignell
and
others
High Energy Physics
Generative Diffusion Models for Lattice Field Theory
6 November 2023 by
Lingxiao Wang
and
others
at
Swansea University
High Energy Physics
,
Machine Learning
Phase Transitions in Particle Physics -- Results and Perspectives from Lattice Quantum Chromo-Dynamics
11 July 2023 by
Gert Aarts
and
others
at
Swansea University
High Energy Physics
,
Nuclear Theory
Recent Results from the FASTSUM Collaboration
24 January 2023 by
Chris Allton
and
others
High Energy Physics
Charm baryons at finite temperature on anisotropic lattices
19 December 2022 by
Ryan Bignell
and
others
High Energy Physics
Hadrons at high temperature: an update from the FASTSUM collaboration
24 November 2022 by
Jon-Ivar Skullerud
and
others
High Energy Physics
,
Nuclear Theory
Lattice QCD at finite temperature: some aspects related to chiral symmetry
13 October 2022 by
Gert Aarts
High Energy Physics
,
Nuclear Theory
Open charm mesons at nonzero temperature: results in the hadronic phase from lattice QCD
29 September 2022 by
Gert Aarts
and
others
High Energy Physics
,
Nuclear Theory
Quantum field theories, Markov random fields and machine learning
29 March 2022 by
Dimitrios Bachtis
and
others
Machine Learning
,
Disordered Systems and Neural Networks
Inverse Renormalization Group in Quantum Field Theory
23 February 2022 by
Dimitrios Bachtis
and
others
High Energy Physics
,
Statistical Mechanics
Applications of Machine Learning to Lattice Quantum Field Theory
10 February 2022 by
Denis Boyda
and
others
High Energy Physics
,
Machine Learning
Towards a Shapley Value Graph Framework for Medical peer-influence
8 February 2022 by
Jamie Duell
and
others
Artificial Intelligence
Spectral reconstruction in NRQCD via the Backus-Gilbert method
21 December 2021 by
Benjamin Page
and
others
High Energy Physics
Bottomonium spectral widths at nonzero temperature using maximum likelihood
15 December 2021 by
Thomas Spriggs
and
others
High Energy Physics
A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
8 December 2021 by
Thomas Spriggs
and
others
High Energy Physics
Reconstruction of bottomonium spectral functions in thermal QCD using Kernel Ridge Regression
3 December 2021 by
Sam Offler
and
others
High Energy Physics
,
Nuclear Theory
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