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cs.CV2026
Beyond the Linear Representation Hypothesis: Non-Linear Activation Steering in Text-to-Image Models
Muhammad Atif Butt, Paweł Skierś, Joost Van De Weijer +1
Mechanistic interpretability often relies on the Linear Representation Hypothesis (LRH), which assumes that high-level concepts are encoded as linear directions in activation space…
cs.CV2024
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation
Joanna Kaleta, Paweł Skierś, Jan Dubiński +2
We introduce Mediffusion -- a new method for semi-supervised learning with explainable classification based on a joint diffusion model. The medical imaging domain faces unique chal…