Necessary and Sufficient Conditions for Time Reversal Symmetry in Presence of Magnetic Fields. - Davide Carbone; Lamberto Rondoni (Symmetry, 2020)

Efficient Training of Energy-Based Models Using Jarzynski Equality. - Davide Carbone; Mengjian Hua; Simon Coste; Eric Vanden-Eijnden (NeurIPS, 2023)

WhaleNet: A Novel Deep Learning Architecture for Marine Mammals Vocalizations on Watkins Marine Mammal Sound Database. - Alessandro Licciardi; Davide Carbone (IEEE Access, 2024)

Wavelet Scattering Transform for Bioacustics: Application to Watkins Marine Mammal Sound Database. - Davide Carbone; Alessandro Licciardi (CoRR, 2024)

Hitchhiker's guide on Energy-Based Models: a comprehensive review on the relation with other generative models, sampling and statistical physics. - Davide Carbone (CoRR, 2024)

Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling and statistical physics: a comprehensive review. - Davide Carbone (Trans. Mach. Learn. Res., 2025)

Jarzynski Reweighting and Sampling Dynamics for Training Energy-Based Models: Theoretical Analysis of Different Transition Kernels. - Davide Carbone (CoRR, 2025)

Wavelet Scattering Transform and Fourier Representation for Offline Detection of Malicious Clients in Federated Learning. - Alessandro Licciardi; Davide Leo; Davide Carbone (CoRR, 2025)