Sophie L. Wang
Research Title
Understanding Representational Similarity Between Neural Networks
Cohort
2025–2026
Department
Electrical Engineering and Computer Science; Mathematics
Research Areas
- AI and Machine Learning
Supervisor
Isola, Phillip
Abstract
How do we compare the representations that two neural networks learn? What representations are we using, and why does that matter? Importantly, what can we learn about nets from their alignment to nets trained on a different modality?
Quote
Through SuperUROP, I hope to work on open-ended problems that interest me.