Filippo Bigi

According to our database, Filippo Bigi authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

How unconstrained machine-learning models learn physical symmetries.

Michelangelo Domina, Joseph William Abbott, Paolo Pegolo, Filippo Bigi, Michele Ceriotti

CoRR, March, 2026

2025

Representing spherical tensors with scalar-based machine-learning models.

Michelangelo Domina, Filippo Bigi, Paolo Pegolo, Michele Ceriotti

CoRR, May, 2025

PET-MAD, a universal interatomic potential for advanced materials modeling.

Arslan Mazitov, Filippo Bigi, Matthias Kellner, Paolo Pegolo, Davide Tisi, Guillaume Fraux, Sergey Pozdnyakov, Philip Loche, Michele Ceriotti

CoRR, March, 2025

FlashMD: long-stride, universal prediction of molecular dynamics.

Filippo Bigi, Sanggyu Chong, Agustinus Kristiadi, Michele Ceriotti

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

The dark side of the forces: assessing non-conservative force models for atomistic machine learning.

Filippo Bigi, Marcel F. Langer, Michele Ceriotti

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

A prediction rigidity formalism for low-cost uncertainties in trained neural networks.

Filippo Bigi, Sanggyu Chong, Michele Ceriotti, Federico Grasselli

Mach. Learn. Sci. Technol., 2024

2023

Wigner kernels: body-ordered equivariant machine learning without a basis.

Filippo Bigi, Sergey N. Pozdnyakov, Michele Ceriotti

CoRR, 2023

Fast evaluation of real spherical harmonics and their derivatives in Cartesian coordinates.

Filippo Bigi, Michele Ceriotti

CoRR, 2023

2022

A smooth basis for atomistic machine learning.

Filippo Bigi, Kevin Huguenin-Dumittan, Michele Ceriotti, David E. Manolopoulos

CoRR, 2022