Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances. - Berfin Simsek; François Ged; Arthur Jacot; Francesco Spadaro; Clément Hongler; Wulfram Gerstner; Johanni Brea (ICML, 2021)

Deep Linear Networks Dynamics: Low-Rank Biases Induced by Initialization Scale and L2 Regularization. - Arthur Jacot; François Ged; Franck Gabriel; Berfin Simsek; Clément Hongler (CoRR, 2021)

Freeze and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts. - Arthur Jacot; Franck Gabriel; François Ged; Clément Hongler (MSML, 2022)

Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality. - François Ged; Maria Han Veiga (CoRR, 2023)

The Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escaping, and Network Embedding. - Zhengqing Wu; Berfin Simsek; François Ged (CoRR, 2024)

Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding. - Zhengqing Wu; Berfin Simsek; François Gaston Ged (ICLR, 2025)

Kernel-Smoothed Scores for Denoising Diffusion: A Bias-Variance Study. - Franck Gabriel; François Ged; Maria Han Veiga; Emmanuel Schertzer (CoRR, 2025)