Membership and Dataset Inference Attacks on Large Audio Generative Models
Jakub Proboszcz, Paweł Kochański, Karol Korszun, Donato Crisostomi et autres
0 citationsarXiv (Cornell University)
Kamil Rafał Deja
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194Publications signalées
2475Citations signalées
5Affiliations récentes
Institutions déclarées
Domaines associés
High-Energy Particle Collisions ResearchParticle physics theoretical and experimental studiesQuantum Chromodynamics and Particle InteractionsDomain Adaptation and Few-Shot LearningGenerative Adversarial Networks and Image Synthesis
Publications récentes
FoldSAE: Learning to Steer Protein Folding Through Sparse Representations
Wojciech Zarzecki, Paulina Szymczak, Ewa Szczurek, Kamil Rafał Deja
0 citationsarXiv (Cornell University)
GUIDE: Guidance-Based Incremental Learning with Diffusion Models
Bartosz Cywiński, Kamil Rafał Deja, T. P. Trzcinski, Bartłomiej Twardowski et autres
1 citationFrontiers in artificial intelligence and applications
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts
Patryk Będkowski, Jan Michal Dubinski, Filip Szatkowski, Kamil Rafał Deja et autres
0 citationsFrontiers in artificial intelligence and applications
Joint Diffusion Models in Continual Learning
Paweł Skierś, Kamil Rafał Deja
1 citation
Predicting mortality and short-term outcomes of continuous kidney replacement therapies in neonates and infants
Anna Deja, Kamil Rafał Deja, Andrea Cappoli, Raffaella Labbadia et autres
1 citationNephrology Dialysis Transplantation
JointDiffusion: Joint representation learning for generative, predictive, and self-explainable AI in healthcare
Joanna Kaleta, Paweł Skierś, Jan Michal Dubinski, Przemysław Korzeniowski et autres
1 citationComputerized Medical Imaging and Graphics
Adapt & Align: Continual Learning with Generative Models’ Latent Space Alignment
Kamil Rafał Deja, Bartosz Cywiński, Jan Rybarczyk, T. P. Trzcinski
0 citationsNeurocomputing
Precise Parameter Localization for Textual Generation in Diffusion Models
Łukasz Staniszewski, Bartosz Cywiński, Franziska Boenisch, Kamil Rafał Deja et autres
0 citationsarXiv (Cornell University)
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders
Bartosz Cywiński, Kamil Rafał Deja
0 citationsarXiv (Cornell University)
Variance-Covariance Regularization Improves Continual Learning
Piotr Hondra, Daniel Marczak, Kamil Rafał Deja
0 citationsIEEE Access
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation
Joanna Kaleta, Paweł Skierś, Jan Michal Dubinski, Przemysław Korzeniowski et autres
0 citationsarXiv (Cornell University)
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