Mignacco, Francesca

7 publications

ICLR 2025 Optimal Protocols for Continual Learning via Statistical Physics and Control Theory Francesco Mori, Stefano Sarao Mannelli, Francesca Mignacco

NeurIPS 2024 Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers Lorenzo Tiberi, Francesca Mignacco, Kazuki Irie, Haim Sompolinsky

ICLR 2024 Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization Ravi Francesco Srinivasan, Francesca Mignacco, Martino Sorbaro, Maria Refinetti, Avi Cooper, Gabriel Kreiman, Giorgia Dellaferrera

NeurIPSW 2024 Optimal Protocols for Continual Learning via Statistical Physics and Control Theory Francesco Mori, Stefano Sarao Mannelli, Francesca Mignacco

NeurIPSW 2023 Learning from Setbacks: The Impact of Adversarial Initialization on Generalization Performance Kavya Ravichandran, Yatin Dandi, Stefani Karp, Francesca Mignacco

NeurIPS 2020 Dynamical Mean-Field Theory for Stochastic Gradient Descent in Gaussian Mixture Classification Francesca Mignacco, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová

ICML 2020 The Role of Regularization in Classification of High-Dimensional Noisy Gaussian Mixture Francesca Mignacco, Florent Krzakala, Yue Lu, Pierfrancesco Urbani, Lenka Zdeborova