Favero, Alessandro

13 publications

ICML 2025 How Compositional Generalization and Creativity Improve as Diffusion Models Are Trained Alessandro Favero, Antonio Sclocchi, Francesco Cagnetta, Pascal Frossard, Matthieu Wyart

ICLRW 2025 How Compositional Generalization and Creativity Improve as Diffusion Models Are Trained Alessandro Favero, Antonio Sclocchi, Francesco Cagnetta, Pascal Frossard, Matthieu Wyart

ICLR 2025 LiNeS: Post-Training Layer Scaling Prevents Forgetting and Enhances Model Merging Ke Wang, Nikolaos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jimenez, François Fleuret, Pascal Frossard

NeurIPS 2025 MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs Ke Wang, Yiming Qin, Nikolaos Dimitriadis, Alessandro Favero, Pascal Frossard

ICLR 2025 Probing the Latent Hierarchical Structure of Data via Diffusion Models Antonio Sclocchi, Alessandro Favero, Noam Itzhak Levi, Matthieu Wyart

CVPR 2024 Multi-Modal Hallucination Control by Visual Information Grounding Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto

ICMLW 2024 Task Addition and Weight Disentanglement in Closed-Vocabulary Models Adam Hazimeh, Alessandro Favero, Pascal Frossard

NeurIPSW 2024 Unraveling the Latent Hierarchical Structure of Language and Images via Diffusion Models Antonio Sclocchi, Noam Itzhak Levi, Alessandro Favero, Matthieu Wyart

NeurIPSW 2024 Unraveling the Latent Hierarchical Structure of Language and Images via Diffusion Models Antonio Sclocchi, Noam Itzhak Levi, Alessandro Favero, Matthieu Wyart

NeurIPS 2023 Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models Guillermo Ortiz-Jimenez, Alessandro Favero, Pascal Frossard

ICML 2023 What Can Be Learnt with Wide Convolutional Neural Networks? Francesco Cagnetta, Alessandro Favero, Matthieu Wyart

NeurIPS 2021 Locality Defeats the Curse of Dimensionality in Convolutional Teacher-Student Scenarios Alessandro Favero, Francesco Cagnetta, Matthieu Wyart

NeurIPS 2021 Relative Stability Toward Diffeomorphisms Indicates Performance in Deep Nets Leonardo Petrini, Alessandro Favero, Mario Geiger, Matthieu Wyart