Deja, Kamil

8 publications

ICCV 2025 Joint Diffusion Models in Continual Learning Paweł Skierś, Kamil Deja

ICLRW 2025 Low-Rank Continual Personalization of Diffusion Models Łukasz Staniszewski, Katarzyna Zaleska, Kamil Deja

ICLR 2025 Precise Parameter Localization for Textual Generation in Diffusion Models Łukasz Staniszewski, Bartosz Cywiński, Franziska Boenisch, Kamil Deja, Adam Dziedzic

ICML 2025 SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Bartosz Cywiński, Kamil Deja

ICLRW 2025 SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Bartosz Cywiński, Kamil Deja

ECML-PKDD 2023 Learning Data Representations with Joint Diffusion Models Kamil Deja, Tomasz Trzcinski, Jakub M. Tomczak

IJCAI 2022 Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning Kamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzcinski

NeurIPS 2022 On Analyzing Generative and Denoising Capabilities of Diffusion-Based Deep Generative Models Kamil Deja, Anna Kuzina, Tomasz Trzcinski, Jakub Tomczak