Gert Aarts

24 papers Journal 23Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generalizable Equivariant Diffusion Models for Non-Abelian Lattice Gauge Theory.
CoRR
Gert Aarts, Diaa E. Habibi, Andreas Ipp, David I. Müller, Thomas R. Ranner, Lingxiao Wang, Wei Wang, Qianteng Zhu
2025 J jnl
Combining complex Langevin dynamics with score-based and energy-based diffusion models.
CoRR
Gert Aarts, Diaa E. Habibi, Lingxiao Wang, Kai Zhou
2025 J jnl
On learning higher-order cumulants in diffusion models.
Mach. Learn. Sci. Technol.
Gert Aarts, Diaa E. Habibi, Lingxiao Wang, Kai Zhou
2025 J jnl
Phase diagram and eigenvalue dynamics of stochastic gradient descent in multilayer neural networks.
CoRR
Chanju Park, Biagio Lucini, Gert Aarts
2025 J jnl
Phase diagram and eigenvalue dynamics of stochastic gradient descent in multilayer neural networks.
Mach. Learn. Sci. Technol.
Chanju Park, Biagio Lucini, Gert Aarts
2025 J jnl
Physics-Conditioned Diffusion Models for Lattice Gauge Theory.
CoRR
Qianteng Zhu, Gert Aarts, Wei Wang, Kai Zhou, Lingxiao Wang
2025 J jnl
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics.
CoRR
Gert Aarts, Kenji Fukushima, Tetsuo Hatsuda, Andreas Ipp, Shuzhe Shi, Lingxiao Wang, Kai Zhou
2025 J jnl
Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF.
CoRR
Sascha Caron, Andreas Ipp, Gert Aarts, Gábor Bíró, Daniele Bonacorsi, Elena Cuoco, Caterina Doglioni, Tommaso Dorigo, Julián García Pardiñas, Stefano Giagu, Tobias Golling, Lukas Heinrich, Ik Siong Heng, Paula Gina Isar, Karolos Potamianos, Liliana Teodorescu, John Veitch, Pietro Vischia, Christoph Weniger
2024 J jnl
Diffusion models learn distributions generated by complex Langevin dynamics.
CoRR
Diaa E. Habibi, Gert Aarts, Lingxiao Wang, Kai Zhou
2024 J jnl
Dyson Brownian motion and random matrix dynamics of weight matrices during learning.
CoRR
Gert Aarts, Ouraman Hajizadeh, Biagio Lucini, Chanju Park
2024 J jnl
On learning higher-order cumulants in diffusion models.
CoRR
Gert Aarts, Diaa E. Habibi, Lingxiao Wang, Kai Zhou
2024 J jnl
Random Matrix Theory for Stochastic Gradient Descent.
CoRR
Chanju Park, Matteo Favoni, Biagio Lucini, Gert Aarts
2024 J jnl
Stochastic weight matrix dynamics during learning and Dyson Brownian motion.
CoRR
Gert Aarts, Biagio Lucini, Chanju Park
2023 J jnl
Diffusion Models as Stochastic Quantization in Lattice Field Theory.
CoRR
Lingxiao Wang, Gert Aarts, Kai Zhou
2023 J jnl
Generative Diffusion Models for Lattice Field Theory.
CoRR
Lingxiao Wang, Gert Aarts, Kai Zhou
2022 J jnl
Applications of Machine Learning to Lattice Quantum Field Theory.
CoRR
Denis Boyda, Salvatore Calì, Sam Foreman, Lena Funcke, Daniel C. Hackett, Yin Lin, Gert Aarts, Andrei Alexandru, Xiao-Yong Jin, Biagio Lucini, Phiala E. Shanahan
2021 — conf
A Comparison of Explanations Given by Explainable Artificial Intelligence Methods on Analysing Electronic Health Records.
BHI
Jamie Andrew Duell, Xiuyi Fan, Bruce Burnett, Gert Aarts, Shang-Ming Zhou
2021 J jnl
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy.
Int. J. Inf. Manag.
Yogesh K. Dwivedi, David Laurie Hughes, Elvira Ismagilova, Gert Aarts, Crispin R. Coombs, Tom Crick, Yanqing Duan, Rohita Dwivedi, John S. Edwards, Aled Eirug, Vassilis Galanos, P. Vigneswara Ilavarasan, Marijn Janssen, Paul Jones, Arpan Kumar Kar, Hatice Kizgin, Bianca Kronemann, Banita Lal, Michael D. Williams
2021 J jnl
Machine learning with quantum field theories.
CoRR
Dimitrios Bachtis, Gert Aarts, Biagio Lucini
2021 J jnl
Quantum field theories, Markov random fields and machine learning.
CoRR
Dimitrios Bachtis, Gert Aarts, Biagio Lucini
2021 J jnl
Quantum field-theoretic machine learning.
CoRR
Dimitrios Bachtis, Gert Aarts, Biagio Lucini
2021 J jnl
Towards a Shapley Value Graph Framework for Medical peer-influence.
CoRR
Jamie Andrew Duell, Monika Seisenberger, Gert Aarts, Shang-Ming Zhou, Xiuyi Fan
2020 J jnl
Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration.
CoRR
Dimitrios Bachtis, Gert Aarts, Biagio Lucini
2020 J jnl
Extending machine learning classification capabilities with histogram reweighting.
CoRR
Dimitrios Bachtis, Gert Aarts, Biagio Lucini