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
70 2023 Quantum field-theoretic machine learning D Bachtis, G Aarts, B Lucini
Physical Review D 103 (7), 074510, 2021
40 2021 Mapping distinct phase transitions to a neural network D Bachtis, G Aarts, B Lucini
Physical Review E 102 (5), 053306, 2020
40 2020 Extending machine learning classification capabilities with histogram reweighting D Bachtis, G Aarts, B Lucini
Physical Review E 102 (3), 033303, 2020
32 2020 Inverse renormalization group in quantum field theory D Bachtis, G Aarts, F Di Renzo, B Lucini
Physical Review Letters 128 (8), 081603, 2022
31 2022 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
21 2021 Quantum field theories, Markov random fields and machine learning D Bachtis, G Aarts, B Lucini
Journal of Physics: Conference Series 2207 (1), 012056, 2022
9 2022 Reducing finite-size effects with reweighted renormalization group transformations D Bachtis
Physical Review E 109 (1), 014125, 2024
5 2024 Overlap renormalization group transformations for disordered systems D Bachtis
Journal of Physics A: Mathematical and Theoretical 57 (23), 235003, 2024
3 2024 Interpreting machine learning functions as physical observables G Aarts, D Bachtis, B Lucini
arXiv preprint arXiv:2109.08497, 2021
3 2021 Machine learning with quantum field theories D Bachtis, G Aarts, B Lucini
arXiv preprint arXiv:2109.07730, 2021
3 2021 Cascade of phase transitions in the training of Energy-based models D Bachtis, G Biroli, A Decelle, B Seoane
arXiv preprint arXiv:2405.14689, 2024
2 2024 Lattice field theory as a multi-agent system of financial markets D Bachtis
arXiv preprint arXiv:2411.15813, 2024
2024 Inverse renormalization group of spin glasses D Bachtis
Physical Review B 110 (14), L140202, 2024
2024 Disordered Lattice Glass Quantum Field Theory D Bachtis
arXiv preprint arXiv:2407.06569, 2024
2024 Generating configurations of increasing lattice size with machine learning and the inverse renormalization group D Bachtis
arXiv preprint arXiv:2405.16288, 2024
2024 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