4 papers · 1 filter
Attention, May I Have Your Decision? Localizing Generative Choices in Diffusion Models
Katarzyna Zaleska, Åukasz Popek, Monika WysoczaÅska +1
Text-to-image diffusion models exhibit remarkable generative capabilities, yet their internal operations remain opaque, particularly when handling prompts that are not fully descri…
Precise Parameter Localization for Textual Generation in Diffusion Models
Åukasz Staniszewski, Bartosz CywiÅski, Franziska Boenisch +2
Novel diffusion models can synthesize photo-realistic images with integrated high-quality text. Surprisingly, we demonstrate through attention activation patching that only less th…
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts
Patryk BÄdkowski, Jan DubiÅski, Filip Szatkowski +3
Simulating detector responses is a crucial part of understanding the inner workings of particle collisions in the Large Hadron Collider at CERN. Such simulations are currently perf…
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation
Joanna Kaleta, PaweÅ SkierÅ, Jan DubiÅski +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…