Laura Driscoll

According to our database, Laura Driscoll authored at least 3 papers between 2020 and 2026.

Collaborative distances:

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

2026

The Global Empirical NTK: Self-Referential Bias and Dimensionality of Gradient Descent Learning.

James Hazelden, Laura Driscoll, Eli Shlizerman, Eric Shea-Brown

CoRR, May, 2026

2025

KPFlow: An Operator Perspective on Dynamic Collapse Under Gradient Descent Training of Recurrent Networks.

James Hazelden, Laura Driscoll, Eli Shlizerman, Eric Shea-Brown

CoRR, July, 2025

2020

Organizing recurrent network dynamics by task-computation to enable continual learning.

Lea Duncker, Laura Driscoll, Krishna V. Shenoy, Maneesh Sahani, David Sussillo

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020