Extending machine learning classification capabilities with histogram reweighting. - Dimitrios Bachtis; Gert Aarts; Biagio Lucini (CoRR, 2020)

Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration. - Dimitrios Bachtis; Gert Aarts; Biagio Lucini (CoRR, 2020)

Quantum field-theoretic machine learning. - Dimitrios Bachtis; Gert Aarts; Biagio Lucini (CoRR, 2021)

Machine learning with quantum field theories. - Dimitrios Bachtis; Gert Aarts; Biagio Lucini (CoRR, 2021)

Quantum field theories, Markov random fields and machine learning. - Dimitrios Bachtis; Gert Aarts; Biagio Lucini (CoRR, 2021)

Inverse Renormalization Group of Disordered Systems. - Dimitrios Bachtis (CoRR, 2023)

Cascade of phase transitions in the training of energy-based models. - Dimitrios Bachtis; Giulio Biroli; Aurélien Decelle; Beatriz Seoane (NeurIPS, 2024)

Generating configurations of increasing lattice size with machine learning and the inverse renormalization group. - Dimitrios Bachtis (CoRR, 2024)

Lattice φ4 field theory as a multi-agent system of financial markets. - Dimitrios Bachtis (CoRR, 2024)