3 papers
cs.LG2026
MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization
Yavuz Yarici, Ghassan AlRegib
Deploying multimodal models in real-world scenarios requires generalization to new environments where recording conditions differ from training, a challenge known as multimodal dom…
cs.CV2026
RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty
William Stevens, Mohit Prabhushankar, Ghassan AlRegib
Epistemic uncertainty estimation is essential for identifying regions where deep learning system outputs may be unreliable. However, existing approaches require computationally exp…
eess.IV2026
FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization
Zoe Fowler, Ghassan AlRegib
Federated learning (FL) holds great potential for medical applications. However, statistical heterogeneity across healthcare institutions poses a major challenge for FL, as the glo…