Gert Aarts

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Diffusion Model

Iterative Conditional

Machine Learning

Top Venues

Int. J. Inf. Manag.

Publications

Gert Aarts, Biagio Lucini, Chanju Park
Stochastic weight matrix dynamics during learning and Dyson Brownian motion. CoRR (2024)
Lingxiao Wang, Gert Aarts, Kai Zhou
Generative Diffusion Models for Lattice Field Theory. CoRR (2023)
Lingxiao Wang, Gert Aarts, Kai Zhou
Diffusion Models as Stochastic Quantization in Lattice Field Theory. CoRR (2023)
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
Applications of Machine Learning to Lattice Quantum Field Theory. CoRR (2022)
Jamie Andrew Duell, Xiuyi Fan, Bruce Burnett, Gert Aarts, Shang-Ming Zhou
A Comparison of Explanations Given by Explainable Artificial Intelligence Methods on Analysing Electronic Health Records. BHI (2021)
Yogesh K. Dwivedi, D. 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
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. Int. J. Inf. Manag. 57 (2021)
Jamie Andrew Duell, Monika Seisenberger, Gert Aarts, Shang-Ming Zhou, Xiuyi Fan
Towards a Shapley Value Graph Framework for Medical peer-influence. CoRR (2021)
Dimitrios Bachtis, Gert Aarts, Biagio Lucini
Machine learning with quantum field theories. CoRR (2021)
Dimitrios Bachtis, Gert Aarts, Biagio Lucini
Quantum field theories, Markov random fields and machine learning. CoRR (2021)
Dimitrios Bachtis, Gert Aarts, Biagio Lucini
Quantum field-theoretic machine learning. CoRR (2021)
Dimitrios Bachtis, Gert Aarts, Biagio Lucini
Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration. CoRR (2020)
Dimitrios Bachtis, Gert Aarts, Biagio Lucini
Extending machine learning classification capabilities with histogram reweighting. CoRR (2020)