Franco Pellegrini

According to our database, Franco Pellegrini authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

2025

Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow.

Zhonglin Cao, Mario Geiger, Allan dos Santos Costa, Danny Reidenbach, Karsten Kreis, Tomas Geffner, Franco Pellegrini, Guoqing Zhou, Emine Küçükbenli

CoRR, July, 2025

Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE.

Jesun Firoz, Franco Pellegrini, Mario Geiger, Darren Hsu, Jenna A. Bilbrey, Han-Yi Chou, Maximilian Stadler, Markus Hoehnerbach, Tingyu Wang, Dejun Lin, Emine Küçükbenli, Henry W. Sprueill, Ilyes Batatia, Sotiris S. Xantheas, MalSoon Lee, Chris Mundy, Gábor Csányi, Justin S. Smith, Ponnuswamy Sadayappan, Sutanay Choudhury

CoRR, April, 2025

2024

EquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic Interpolants.

Allan dos Santos Costa, Ilan Mitnikov, Franco Pellegrini, Ameya Daigavane, Mario Geiger, Zhonglin Cao, Karsten Kreis, Tess E. Smidt, Emine Küçükbenli, Joseph Jacobson

CoRR, 2024

LATTE: an atomic environment descriptor based on Cartesian tensor contractions.

Franco Pellegrini, Stefano de Gironcoli, Emine Küçükbenli

CoRR, 2024

2023

PANNA 2.0: Efficient neural network interatomic potentials and new architectures.

Franco Pellegrini, Ruggero Lot, Yusuf Shaidu, Emine Küçükbenli

CoRR, 2023

2022

Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks.

Franco Pellegrini, Giulio Biroli

Proceedings of the International Conference on Machine Learning, 2022

2021

Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones?

Franco Pellegrini, Giulio Biroli

CoRR, 2021

2020

PANNA: Properties from Artificial Neural Network Architectures.

Ruggero Lot, Franco Pellegrini, Yusuf Shaidu, Emine Küçükbenli

Comput. Phys. Commun., 2020

An analytic theory of shallow networks dynamics for hinge loss classification.

Franco Pellegrini, Giulio Biroli

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020