Saved in:
| Main Authors: | Zhu, Qianteng, Aarts, Gert, Wang, Wei, Zhou, Kai, Wang, Lingxiao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.05504 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generalizable Equivariant Diffusion Models for Non-Abelian Lattice Gauge Theory
by: Aarts, Gert, et al.
Published: (2026)
by: Aarts, Gert, et al.
Published: (2026)
Diffusion Models as Stochastic Quantization in Lattice Field Theory
by: Wang, Lingxiao, et al.
Published: (2023)
by: Wang, Lingxiao, et al.
Published: (2023)
Diffusion models for lattice gauge field simulations
by: Zhu, Qianteng, et al.
Published: (2024)
by: Zhu, Qianteng, et al.
Published: (2024)
Diffusion models learn distributions generated by complex Langevin dynamics
by: Habibi, Diaa E., et al.
Published: (2024)
by: Habibi, Diaa E., et al.
Published: (2024)
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics
by: Aarts, Gert, et al.
Published: (2025)
by: Aarts, Gert, et al.
Published: (2025)
Combining complex Langevin dynamics with score-based and energy-based diffusion models
by: Aarts, Gert, et al.
Published: (2025)
by: Aarts, Gert, et al.
Published: (2025)
On learning higher-order cumulants in diffusion models
by: Aarts, Gert, et al.
Published: (2024)
by: Aarts, Gert, et al.
Published: (2024)
Diffusion models and stochastic quantisation in lattice field theory
by: Aarts, Gert, et al.
Published: (2024)
by: Aarts, Gert, et al.
Published: (2024)
Gauge-Equivariant Graph Neural Networks for Lattice Gauge Theories
by: Rayat, Ali, et al.
Published: (2026)
by: Rayat, Ali, et al.
Published: (2026)
Efficient Learning of Lattice Gauge Theories with Fermions
by: Shukla, Shreya, et al.
Published: (2025)
by: Shukla, Shreya, et al.
Published: (2025)
Matrix-free Neural Preconditioner for the Dirac Operator in Lattice Gauge Theory
by: Sun, Yixuan, et al.
Published: (2025)
by: Sun, Yixuan, et al.
Published: (2025)
Group-Equivariant Diffusion Models for Lattice Field Theory
by: Vega, Octavio, et al.
Published: (2025)
by: Vega, Octavio, et al.
Published: (2025)
Non-Perturbative Trivializing Flows for Lattice Gauge Theories
by: Gerdes, Mathis, et al.
Published: (2024)
by: Gerdes, Mathis, et al.
Published: (2024)
Lattice field theories with a sign problem
by: Aarts, Gert, et al.
Published: (2026)
by: Aarts, Gert, et al.
Published: (2026)
Random Matrix Theory for Stochastic Gradient Descent
by: Park, Chanju, et al.
Published: (2024)
by: Park, Chanju, et al.
Published: (2024)
Graph Neural Networks in the Wilson Loop Representation of Abelian Lattice Gauge Theories
by: Rayat, Ali, et al.
Published: (2026)
by: Rayat, Ali, et al.
Published: (2026)
Diffusion Models for SU(2) Lattice Gauge Theory in Two Dimensions
by: Alharazin, H., et al.
Published: (2026)
by: Alharazin, H., et al.
Published: (2026)
Particle Monte Carlo methods for Lattice Field Theory
by: Yallup, David
Published: (2025)
by: Yallup, David
Published: (2025)
Phase diagram and eigenvalue dynamics of stochastic gradient descent in multilayer neural networks
by: Park, Chanju, et al.
Published: (2025)
by: Park, Chanju, et al.
Published: (2025)
Stochastic weight matrix dynamics during learning and Dyson Brownian motion
by: Aarts, Gert, et al.
Published: (2024)
by: Aarts, Gert, et al.
Published: (2024)
Bootstrapping the Abelian Lattice Gauge Theories
by: Li, Zhijin, et al.
Published: (2024)
by: Li, Zhijin, et al.
Published: (2024)
A comparative lattice analysis of $SU(2)$ dark gluebal
by: Chu, Min-Huan, et al.
Published: (2024)
by: Chu, Min-Huan, et al.
Published: (2024)
Lecture Notes on Normalizing Flows for Lattice Quantum Field Theories
by: Cheng, Miranda C. N., et al.
Published: (2025)
by: Cheng, Miranda C. N., et al.
Published: (2025)
Configurational Thermometer for Lattice Gauge Theories
by: Longia, Vamika, et al.
Published: (2026)
by: Longia, Vamika, et al.
Published: (2026)
Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows
by: Máté, Bálint, et al.
Published: (2024)
by: Máté, Bálint, et al.
Published: (2024)
Quantum Simulation with Gauge Fixing: from Ising Lattice Gauge Theory to Dynamical Flux Model
by: Wang, Junsen, et al.
Published: (2024)
by: Wang, Junsen, et al.
Published: (2024)
Enhanced Sampling Techniques for Lattice Gauge Theory
by: Eichhorn, Timo, et al.
Published: (2026)
by: Eichhorn, Timo, et al.
Published: (2026)
Dyson Brownian motion and random matrix dynamics of weight matrices during learning
by: Aarts, Gert, et al.
Published: (2024)
by: Aarts, Gert, et al.
Published: (2024)
The Casimir Effect in Non-Abelian Gauge Theories on the Lattice
by: Ngwenya, Blessed Arthur
Published: (2025)
by: Ngwenya, Blessed Arthur
Published: (2025)
On the momentum of gluons in Lattice Gauge Theory (LGT)
by: Neuberger, Herbert
Published: (2025)
by: Neuberger, Herbert
Published: (2025)
Operator Spectroscopy of Trained Lattice Samplers
by: Qian, Moxian
Published: (2026)
by: Qian, Moxian
Published: (2026)
Topology in 2D non-Abelian Lattice Gauge Theories
by: Durr, Stephan, et al.
Published: (2024)
by: Durr, Stephan, et al.
Published: (2024)
Towards the Application of Skewed Detailed Balance in Lattice Gauge Theories
by: Marinkovic, Marina Krstic, et al.
Published: (2024)
by: Marinkovic, Marina Krstic, et al.
Published: (2024)
Lattice Gauge Theory via LLVM-Level Automatic Differentiation
by: Nagai, Yuki, et al.
Published: (2026)
by: Nagai, Yuki, et al.
Published: (2026)
Classical Continuum Limit of the String Field Theory Dual to Lattice Gauge Theory
by: Kawana, Kiyoharu
Published: (2024)
by: Kawana, Kiyoharu
Published: (2024)
Gauging C on the Lattice
by: Jacobson, Theodore
Published: (2024)
by: Jacobson, Theodore
Published: (2024)
Cartan Fluxes in $SU(3)$ Lattice Gauge Theory
by: Mendes, Tereza, et al.
Published: (2026)
by: Mendes, Tereza, et al.
Published: (2026)
Building Hadron Potentials from Lattice QCD with Deep Neural Networks
by: Wang, Lingxiao, et al.
Published: (2024)
by: Wang, Lingxiao, et al.
Published: (2024)
Axion QED as a Lattice Gauge Theory and Non-Invertible Symmetry
by: Honda, Yamato, et al.
Published: (2024)
by: Honda, Yamato, et al.
Published: (2024)
Quantum Simulation of Large N Lattice Gauge Theories
by: Ciavarella, Anthony N., et al.
Published: (2024)
by: Ciavarella, Anthony N., et al.
Published: (2024)
Similar Items
-
Generalizable Equivariant Diffusion Models for Non-Abelian Lattice Gauge Theory
by: Aarts, Gert, et al.
Published: (2026) -
Diffusion Models as Stochastic Quantization in Lattice Field Theory
by: Wang, Lingxiao, et al.
Published: (2023) -
Diffusion models for lattice gauge field simulations
by: Zhu, Qianteng, et al.
Published: (2024) -
Diffusion models learn distributions generated by complex Langevin dynamics
by: Habibi, Diaa E., et al.
Published: (2024) -
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics
by: Aarts, Gert, et al.
Published: (2025)