On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks. - Hancheng Min; Salma Tarmoun; René Vidal; Enrique Mallada (ICML, 2021)

Understanding the Dynamics of Gradient Flow in Overparameterized Linear models. - Salma Tarmoun; Guilherme França; Benjamin D. Haeffele; René Vidal (ICML, 2021)

Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization. - Ziqing Xu; Hancheng Min; Salma Tarmoun; Enrique Mallada; René Vidal (AISTATS, 2023)

Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization. - Ziqing Xu; Hancheng Min; Lachlan Ewen MacDonald; Jinqi Luo; Salma Tarmoun; Enrique Mallada; René Vidal (AISTATS, 2025)

A Local Polyak-Łojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models. - Ziqing Xu; Hancheng Min; Salma Tarmoun; Enrique Mallada; René Vidal (Trans. Mach. Learn. Res., 2025)