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cs.LG2026
ELROND: Exploring and decomposing intrinsic capabilities of diffusion models
Paweł Skierś, Tomasz Trzciński, Emilia Kaczmarczyk +1
A single text prompt passed to a diffusion model yields a wide range of visual outputs determined solely by a stochastic process, leaving users with no direct control over which se…
cs.LG2024
Joint Diffusion models in Continual Learning
Paweł Skierś, Kamil Deja
In this work, we introduce JDCL - a new method for continual learning with generative rehearsal based on joint diffusion models. Neural networks suffer from catastrophic forgetting…