A deep learning account of stage-like transitions in long-term learning

The Neural Race Reduction: Dynamics of feature learning in deep architectures

Demystifying depth: Principles of learning in deep neural networks

Algorithm Development in Neural Networks: Insights from the Streaming Parity Task

Strategy Coopetition Explains the Emergence and Transience of In-Context Learning

Training Dynamics of In-Context Learning in Linear Attention

An Analytical Theory of Cognitive Control of Learning.

How AI is helping us to understand how our brains learn

2025 Blavatnik Awards in Life Sciences

What does deep learning imply about cognition?

Principles of learning in distributed neural networks

2023 Blavatnik Awards in the UK Finalist in Life Sciences

The Neural Race Reduction: Dynamics of Abstraction in Gated Networks

Strategically managing learning during perceptual decision making

Episode 120: Optimizing Memories

Three-Day Symposium on Deep Learning & Neural Networks: Andrew M. Saxe

Intro to Deep Learning Theory

Episode 52: Deep learning theory

Training and generalization dynamics in simple deep networks

Intriguing phenomena in training and generalization dynamics of deep networks

High-dimensional dynamics of generalization error in neural networks

A theory of deep learning dynamics

Learning dynamics in deep linear neural networks

Hallmarks of deep learning in the brain

Exact solutions to the nonlinear dynamics of deep learning