An analytic theory of shallow networks dynamics for hinge loss classification. - Franco Pellegrini; Giulio Biroli (NeurIPS, 2020)

PANNA: Properties from Artificial Neural Network Architectures. - Ruggero Lot; Franco Pellegrini; Yusuf Shaidu; Emine Küçükbenli (Comput. Phys. Commun., 2020)

Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones? - Franco Pellegrini; Giulio Biroli (CoRR, 2021)

Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks. - Franco Pellegrini; Giulio Biroli (ICML, 2022)

PANNA 2.0: Efficient neural network interatomic potentials and new architectures. - Franco Pellegrini; Ruggero Lot; Yusuf Shaidu; Emine Küçükbenli (CoRR, 2023)

LATTE: an atomic environment descriptor based on Cartesian tensor contractions. - Franco Pellegrini; Stefano de Gironcoli; Emine Küçükbenli (CoRR, 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)

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; et al. (CoRR, 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, 2025)