Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Equivariant Sparse Autoencoders: Mechanistic Interpretability of Neural Networks on Symmetric Data
Ege Erdogan, Ana Lucic
Machine learning (ML) models achieve remarkable performance but remain hard to interpret due to their scale and complexity. In particular, their activations entangle many concepts…
cs.LG2025
Geometric Flow Models over Neural Network Weights
Ege Erdogan
Deep generative models such as flow and diffusion models have proven to be effective in modeling high-dimensional and complex data types such as videos or proteins, and this has mo…