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Research > Publications

Publications

Published

  1. J. Cuin, D. Carbone, Y. Tang, and O. D. Akyildiz. Efficient Stochastic Optimisation via Sequential Monte Carlo. In: International Conference on Machine Learning (ICML), 2026. https://arxiv.org/abs/2601.22003
  2. C. Schönle, D. Carbone, M. Gabrié, T. Lelièvre, and G. Stoltz. Efficient Monte-Carlo sampling of metastable systems using non-local collective variable updates. In: The Journal of Chemical Physics, 164, 154107, 2026. https://doi.org/10.1063/5.0318016
  3. D. Carbone, V. Di Florio, S. Lepri, and L. Rondoni. Computing Nonequilibrium Transport from Short-Time Transients: From Lorentz Gas to Heat Conduction in One Dimensional Chains. In: The Journal of Chemical Physics, 2026. https://doi.org/10.1063/5.0320325
  4. J. Cuin, D. Carbone, and O. D. Akyildiz. Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm. In: Proceedings of the 39th Conference on Neural Information Processing Systems (NeurIPS), 2025.
  5. D. Carbone. Jarzynski reweighting and sampling dynamics for training energy-based models: theoretical analysis of different transition kernels. In: Bollettino dell'Unione Matematica Italiana, 2025. https://doi.org/10.1007/s40574-025-00512-4
  6. D. Carbone. Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling and statistical physics: a comprehensive review. In: Transactions on Machine Learning Research (TMLR), 2025. https://openreview.net/forum?id=VTgixSbrJI
  7. A. Licciardi, D. Carbone, L. Rondoni, and A. Nagar. Wavelet Scattering Transform for Gravitational Waves Analysis. An Application to Glitch Characterization. In: Physical Review D 111, 2025. https://doi.org/10.1103/PhysRevD.111.084044
  8. D. Carbone, M. Hua, S. Coste, and E. Vanden-Eijnden. Efficient Training of Energy-Based Models Using Jarzynski Equality. In: Journal of Statistical Mechanics, 2024. https://doi.org/10.1088/1742-5468/ad65e0.
  9. A. Licciardi and D. Carbone. WhaleNet: a Novel Deep Learning Architecture for Marine Mammals Vocalizations on Watkins Marine Mammal Sound Database. In: IEEE Access, 2024. https://ieeexplore.ieee.org/document/10720021
  10. D. Carbone, M. Hua, S. Coste, and E. Vanden-Eijnden. Generative models as out-of-equilibrium particle systems: training of Energy-Based Models using Non-Equilibrium Thermodynamics. In: Proceedings of the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA), 2024. https://doi.org/10.1007/978-3-031-69146-1_23
  11. A. Licciardi, D. Carbone, and L. Rondoni. Wavelet Scattering Operators for Multiscale Processes: The case study of marine mammals vocalizations. In: Proceedings of the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA), 2024. https://doi.org/10.1007/978-3-031-69146-1_15
  12. D. Carbone, M. Hua, S. Coste, and E. Vanden-Eijnden. Efficient Training of Energy-Based Models Using Jarzynski Equality. In: Proceedings of 37th Conference on Neural Information Processing Systems (NeurIPS), 2023
  13. D. Carbone, P. De Gregorio, and L. Rondoni, Time Reversal Symmetry for Classical, Nonrelativistic Quantum and Spin Systems in Presence of Magnetic Fields, In: Annals of Physics 441, 2022. https://www.sciencedirect.com/science/article/pii/S0003491622000628
  14. D. Carbone and L. Rondoni. Necessary and Sufficient Conditions for Time Reversal Symmetry in Presence of Magnetic Fields. In: Symmetry 12.8, 2020. https://www.mdpi.com/2073-8994/12/8/1336

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