← Search

Alex Lewandowski

3 accepted papers

2025

Learning Continually by Spectral Regularization

ICLR 2025poster

Loss of plasticity is a phenomenon where neural networks can become more difficult to train over the course of learning. Continual learning algorithms seek to mitigate this effect by sustaining good performance while maintaining network trainability. We develop a new technique for improving continua…

Cited by 4SourcePDFScholar
2025

The World Is Bigger: A Computationally-Embedded Perspective on the Big World Hypothesis

NeurIPS 2025spotlight

Continual learning is often motivated by the idea, known as the big world hypothesis, that the "world is bigger" than the agent. Recent problem formulations capture this idea by explicitly constraining an agent relative to the environment. These constraints lead to solutions in which the agent conti…

Cited by 0SourceScholar