Trosolwg
Mae Dimitrio Bachtis yn aelod o'r Adran Fathemateg ym Mhrifysgol Abertawe.
Mr Dimitrios Bachtis
Ymchwilydd,
Physics
Cyhoeddiadau
Uchafbwyntiau Ymchwil
-
Bachtis, D., Aarts, G., & Lucini, B. (2020). Extending machine learning classification capabilities with histogram reweighting. Physical Review E, 102(3)
-
Bachtis, D., Aarts, G., & Lucini, B. (2020). Mapping distinct phase transitions to a neural network. Physical Review E, 102(5)
-
Bachtis, D., Aarts, G., & Lucini, B. (2021). Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration. Physical Review Research, 3(1)
-
Bachtis, D., Aarts, G., & Lucini, B. (2021). Quantum field-theoretic machine learning. Physical Review D, 103(7)
-
Bachtis, D., Aarts, G., Renzo, F., & Lucini, B. (2022). Inverse Renormalization Group in Quantum Field Theory. Physical Review Letters, 128(8)
-
Bachtis, D., Aarts, G., & Lucini, B. (2022). Quantum field theories, Markov random fields and machine learning. Journal of Physics: Conference Series, 2207(1), 012056
-
Aarts, G., Bachtis, D., & Lucini, B. (2022). Interpreting machine learning functions as physical observables. In Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021)Sissa Medialab.
-
Bachtis, D., Aarts, G., & Lucini, B. (2022). Machine learning with quantum field theories. In Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021)Sissa Medialab.
Holl Ymchwil
Erthyglau Cylchgronau
-
Bachtis, D., Aarts, G., & Lucini, B. (2022). Quantum field theories, Markov random fields and machine learning. Journal of Physics: Conference Series, 2207(1), 012056
-
Bachtis, D., Aarts, G., Renzo, F., & Lucini, B. (2022). Inverse Renormalization Group in Quantum Field Theory. Physical Review Letters, 128(8)
-
Bachtis, D., Aarts, G., & Lucini, B. (2021). Quantum field-theoretic machine learning. Physical Review D, 103(7)
-
Bachtis, D., Aarts, G., & Lucini, B. (2021). Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration. Physical Review Research, 3(1)
-
Bachtis, D., Aarts, G., & Lucini, B. (2020). Mapping distinct phase transitions to a neural network. Physical Review E, 102(5)
-
Bachtis, D., Aarts, G., & Lucini, B. (2020). Extending machine learning classification capabilities with histogram reweighting. Physical Review E, 102(3)
Cyfraniadau Cynadleddau
-
Aarts, G., Bachtis, D., & Lucini, B. (2022). Interpreting machine learning functions as physical observables. In Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021)Sissa Medialab.
-
Bachtis, D., Aarts, G., & Lucini, B. (2022). Machine learning with quantum field theories. In Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021)Sissa Medialab.