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Journal Articles
- 2021
[j1]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:
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. Int. J. Inf. Manag. 57: 101994 (2021)
Conference and Workshop Papers
- 2021
- [c1]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: 1-4
Informal and Other Publications
- 2024
- [i10]Gert Aarts, Biagio Lucini, Chanju Park:
Stochastic weight matrix dynamics during learning and Dyson Brownian motion. CoRR abs/2407.16427 (2024) - 2023
- [i9]Lingxiao Wang, Gert Aarts, Kai Zhou:
Diffusion Models as Stochastic Quantization in Lattice Field Theory. CoRR abs/2309.17082 (2023) - [i8]Lingxiao Wang, Gert Aarts, Kai Zhou:
Generative Diffusion Models for Lattice Field Theory. CoRR abs/2311.03578 (2023) - 2022
- [i7]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 abs/2202.05838 (2022) - 2021
- [i6]Dimitrios Bachtis, Gert Aarts, Biagio Lucini:
Quantum field-theoretic machine learning. CoRR abs/2102.09449 (2021) - [i5]Dimitrios Bachtis, Gert Aarts, Biagio Lucini:
Machine learning with quantum field theories. CoRR abs/2109.07730 (2021) - [i4]Dimitrios Bachtis, Gert Aarts, Biagio Lucini:
Quantum field theories, Markov random fields and machine learning. CoRR abs/2110.10928 (2021) - [i3]Jamie Andrew Duell, Monika Seisenberger, Gert Aarts, Shang-Ming Zhou, Xiuyi Fan:
Towards a Shapley Value Graph Framework for Medical peer-influence. CoRR abs/2112.14624 (2021) - 2020
- [i2]Dimitrios Bachtis, Gert Aarts, Biagio Lucini:
Extending machine learning classification capabilities with histogram reweighting. CoRR abs/2004.14341 (2020) - [i1]Dimitrios Bachtis, Gert Aarts, Biagio Lucini:
Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration. CoRR abs/2010.00054 (2020)
Coauthor Index
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