NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems. - Filippo Vicentini; Damian Hofmann; Attila Szabó; Dian Wu; Christopher Roth; Clemens Giuliani; Gabriel Pescia; Jannes Nys; Vladimir Vargas-Calderón; Nikita Astrakhantsev 001; Giuseppe Carleo (CoRR, 2021)

Learning ground states of gapped quantum Hamiltonians with Kernel Methods. - Clemens Giuliani; Filippo Vicentini; Riccardo Rossi; Giuseppe Carleo (Quantum, 2023)

Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution. - Alessandro Sinibaldi; Clemens Giuliani; Giuseppe Carleo; Filippo Vicentini (Quantum, 2023)