Clémentine C. J. Dominé

According to our database, Clémentine C. J. Dominé authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Optimal Representation Size: High-Dimensional Analysis of Pretraining and Linear Probing.

Valentina Njaradi, Clémentine C. J. Dominé, Rachel Swanson, Marco Mondelli, Andrew M. Saxe

CoRR, May, 2026

A Theory of How Pretraining Shapes Inductive Bias in Fine-Tuning.

Nicolas Anguita, Francesco Locatello, Andrew M. Saxe, Marco Mondelli, Flavia Mancini, Samuel Lippl, Clémentine C. J. Dominé

CoRR, February, 2026

2025

Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking).

Yoonsoo Nam, Seok Hyeong Lee, Clémentine C. J. Dominé, Yea Chan Park, Charles London, Wonyl Choi, Niclas Alexander Göring, Seungjai Lee

CoRR, February, 2025

Preface of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models.

Clémentine C. J. Dominé, Marco Fumero, Zorah Lähner, Donato Crisostomi, Luca Moschella, Kimberly Stachenfeld

Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, 2025

Learning dynamics in linear recurrent neural networks.

Alexandra Maria Proca, Clémentine Carla Juliette Dominé, Murray Shanahan, Pedro A. M. Mediano

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking).

Yoonsoo Nam, Seok Hyeong Lee, Clémentine Carla Juliette Dominé, Yeachan Park, Charles London, Wonyl Choi, Niclas Alexander Göring, Seungjai Lee

Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Theory of Initialisation's Impact on Specialisation.

Devon Jarvis, Sebastian Lee, Clémentine Carla Juliette Dominé, Andrew M. Saxe, Stefano Sarao Mannelli

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Geometric epitope and paratope prediction.

Marco Pegoraro, Clémentine C. J. Dominé, Emanuele Rodolà, Petar Velickovic, Andreea Deac

Bioinform., 2024

Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning.

Daniel Kunin, Allan Raventós, Clémentine C. J. Dominé, Feng Chen, David A. Klindt, Andrew M. Saxe, Surya Ganguli

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Preface of UniReps: the First Workshop on Unifying Representations in Neural Models.

Marco Fumero, Emanuele Rodolà, Clémentine C. J. Dominé, Francesco Locatello, Karolina Dziugaite, Mathilde Caron

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

2022

Exact learning dynamics of deep linear networks with prior knowledge.

Lukas Braun, Clémentine C. J. Dominé, James Fitzgerald, Andrew M. Saxe

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022