Braun, Lukas

6 publications

ICLR 2025 From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks Clémentine Carla Juliette Dominé, Nicolas Anguita, Alexandra Maria Proca, Lukas Braun, Daniel Kunin, Pedro A. M. Mediano, Andrew M Saxe

ICML 2025 Not All Solutions Are Created Equal: An Analytical Dissociation of Functional and Representational Similarity in Deep Linear Neural Networks Lukas Braun, Erin Grant, Andrew M Saxe

NeurIPSW 2024 From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks Clémentine Carla Juliette Dominé, Nicolas Anguita, Alexandra Maria Proca, Lukas Braun, Daniel Kunin, Pedro A. M. Mediano, Andrew M Saxe

NeurIPSW 2024 From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks Clémentine Carla Juliette Dominé, Nicolas Anguita, Alexandra Maria Proca, Lukas Braun, Daniel Kunin, Pedro A. M. Mediano, Andrew M Saxe

NeurIPS 2022 Exact Learning Dynamics of Deep Linear Networks with Prior Knowledge Lukas Braun, Clémentine Dominé, James Fitzgerald, Andrew Saxe

NeurIPS 2021 Online Learning of Neural Computations from Sparse Temporal Feedback Lukas Braun, Tim Vogels