21 citations · 30 across the 15 of their papers we have counts for
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cs.LG2025
An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models
Binxu Wang, Cengiz Pehlevan
We develop an analytical framework for understanding how the generated distribution evolves during diffusion model training. Leveraging a Gaussian-equivalence principle, we solve t…
cs.CV2025
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
Thomas Fel, Ekdeep Singh Lubana, Jacob S. Prince +7
Sparse Autoencoders (SAEs) have emerged as a powerful framework for machine learning interpretability, enabling the unsupervised decomposition of model representations into a dicti…