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Dimitrios Bachtis
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Mapping distinct phase transitions to a neural network
D Bachtis, G Aarts, B Lucini
Physical Review E 102 (5), 053306, 2020
342020
Extending machine learning classification capabilities with histogram reweighting
D Bachtis, G Aarts, B Lucini
Physical Review E 102 (3), 033303, 2020
312020
Quantum field-theoretic machine learning
D Bachtis, G Aarts, B Lucini
Physical Review D 103 (7), 074510, 2021
292021
Inverse renormalization group in quantum field theory
D Bachtis, G Aarts, F Di Renzo, B Lucini
Physical Review Letters 128 (8), 081603, 2022
212022
Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration
D Bachtis, G Aarts, B Lucini
Physical Review Research 3 (1), 013134, 2021
192021
Phase transitions in particle physics: Results and perspectives from lattice Quantum Chromo-Dynamics
G Aarts, J Aichelin, C Allton, A Athenodorou, D Bachtis, C Bonanno, ...
Progress in Particle and Nuclear Physics, 104070, 2023
112023
Quantum field theories, Markov random fields and machine learning
D Bachtis, G Aarts, B Lucini
Journal of Physics: Conference Series 2207 (1), 012056, 2022
42022
Interpreting machine learning functions as physical observables
G Aarts, D Bachtis, B Lucini
arXiv preprint arXiv:2109.08497, 2021
12021
Machine learning with quantum field theories
D Bachtis, G Aarts, B Lucini
arXiv preprint arXiv:2109.07730, 2021
12021
Overlap renormalization group transformations for disordered systems
D Bachtis
arXiv preprint arXiv:2302.08459, 2023
2023
Reducing finite-size effects in quantum field theories with the renormalization group
D Bachtis
arXiv preprint arXiv:2205.08156, 2022
2022
Quantum field-theoretic machine learning and the renormalization group
DS Bachtis
Swansea University, 2022
2022
Una conexión inesperada entre la física de partículas y la inteligencia artificial
D Bachtis
Investigación y ciencia, 2021
2021
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Artikler 1–13