Mediano, Pedro A. M.

8 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

ICLR 2025 Grokking at the Edge of Numerical Stability Lucas Prieto, Melih Barsbey, Pedro A. M. Mediano, Tolga Birdal

ICML 2025 Learning Dynamics in Linear Recurrent Neural Networks Alexandra Maria Proca, Clémentine Carla Juliette Dominé, Murray Shanahan, Pedro A. M. Mediano

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 2024 Learning Diverse Causally Emergent Representations from Time Series Data David McSharry, Christos Kaplanis, Fernando E. Rosas, Pedro A.M. Mediano

NeurIPS 2023 Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions Zhaolu Liu, Robert Peach, Pedro A.M Mediano, Mauricio Barahona

ICLR 2019 Relational Forward Models for Multi-Agent Learning Andrea Tacchetti, H. Francis Song, Pedro A. M. Mediano, Vinicius Zambaldi, János Kramár, Neil C. Rabinowitz, Thore Graepel, Matthew Botvinick, Peter W. Battaglia