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Scientific Reports|July 1, 2022
Spectral pruning of fully connected layersLorenzo Buffoni, Enrico Civitelli, Lorenzo Giambagli, et al.Nature Communications|February 27, 2021
Machine learning in spectral domainLorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti, et al.Physical Review Letters|September 26, 2012
Logarithmic oscillators: ideal Hamiltonian thermostatsMichele Campisi, Fei Zhan, Peter Talkner, et al.Physical Review. E|December 24, 2021
Training of sparse and dense deep neural networks: Fewer parameters, same performanceLorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni, et al.Physical Review. E|August 17, 2018
Stiffness of probability distributions of work and Jarzynski relation for non-Gibbsian initial statesDaniel Schmidtke, Lars Knipschild, Michele Campisi, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 16, 2014
Quantum fluctuation theorems and generalized measurements during the force protocolGentaro Watanabe, B Prasanna Venkatesh, Peter Talkner, et al.Physical Review Letters|March 31, 2018
High-Power Collective Charging of a Solid-State Quantum BatteryDario Ferraro, Michele Campisi, Gian Marcello Andolina, et al.Neural Computation|March 3, 2025
Learning in Wilson-Cowan Model for MetapopulationRaffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, et al.Physical Review. E|January 20, 2021
Charging a quantum battery via nonequilibrium heat currentFrancesco Tacchino, Tiago F F Santos, Dario Gerace, et al.Physical Review Letters|February 16, 2019
Extractable Work, the Role of Correlations, and Asymptotic Freedom in Quantum BatteriesGian Marcello Andolina, Maximilian Keck, Andrea Mari, et al.Pageof 4