Tudisco, Francesco

14 publications

ICLR 2025 GeoLoRA: Geometric Integration for Parameter Efficient Fine-Tuning Steffen Schotthöfer, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco, Jonas Kusch

ICLR 2025 dEBORA: Efficient Bilevel Optimization-Based Low-Rank Adaptation Emanuele Zangrando, Sara Venturini, Francesco Rinaldi, Francesco Tudisco

NeurIPS 2024 Geometry-Aware Training of Factorized Layers in Tensor Tucker Format Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco

ICLRW 2024 Mixture of Neural Operators: Incorporating Historical Information for Longer Rollouts Harris Abdul Majid, Francesco Tudisco

NeurIPSW 2024 Solaris: A Foundation Model of the Sun Harris Abdul Majid, Pietro Sittoni, Francesco Tudisco

ICML 2024 Subhomogeneous Deep Equilibrium Models Pietro Sittoni, Francesco Tudisco

ICML 2023 Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco

NeurIPS 2023 Robust Low-Rank Training via Approximate Orthonormal Constraints Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco

NeurIPS 2022 Low-Rank Lottery Tickets: Finding Efficient Low-Rank Neural Networks via Matrix Differential Equations Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco

ICML 2022 Nonlinear Feature Diffusion on Hypergraphs Konstantin Prokopchik, Austin R Benson, Francesco Tudisco

NeurIPS 2019 Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs Pedro Mercado, Francesco Tudisco, Matthias Hein

ICML 2019 Spectral Clustering of Signed Graphs via Matrix Power Means Pedro Mercado, Francesco Tudisco, Matthias Hein

AISTATS 2018 The Power Mean Laplacian for Multilayer Graph Clustering Pedro Mercado, Antoine Gautier, Francesco Tudisco, Matthias Hein

NeurIPS 2016 Clustering Signed Networks with the Geometric Mean of Laplacians Pedro Mercado, Francesco Tudisco, Matthias Hein