Publications

Francesco Alesiani, Makoto Takamoto (2023). Hyper network machine learning architecture for simulating physical systems.
Francesco Alesiani, Sebastian Gajek (2023). Method for verifying information.
Francesco Alesiani, Makoto Takamoto, Toshio Kamiya, Daisuke Etou (2023). LEO Satellite Orbit Prediction with Physics Informed Machine Learning.
Xiao He, Francesco Alesiani, Ammar Shaker (2023). Method and system for scalable multi-task learning with convex clustering.
Francesco Alesiani, Daniel Onoro-Rubio (2023). Partial planar point cloud matching using machine learning with applications in biometric systems.
Ammar Shaker, Francesco Alesiani (2023). Affinity graph extraction and updating systems and methods.
Daniel Onoro-Rubio, Francesco Alesiani (2023). Mechanism for reducing information lost in set neural networks.
Henrik Christiansen, Federico Errica, Francesco Alesiani (2023). Self-tuning Hamiltonian Monte Carlo for accelerated sampling. The Journal of Chemical Physics.
Makoto Takamoto, Francesco Alesiani, Mathias Niepert (2023). Learning neural pde solvers with parameter-guided channel attention. International Conference on Machine Learning.
Francesco Alesiani (2023). Implicit bilevel optimization: Differentiating through bilevel optimization programming. Proceedings of the AAAI Conference on Artificial Intelligence.