3 papers
cs.LG2026
CoVAE: correlated multimodal generative modeling
Federico Caretti, Guido Sanguinetti
Multimodal Variational Autoencoders have emerged as a popular tool to extract effective representations from rich multimodal data. However, such models rely on fusion strategies in…
cs.LG2025
Balanced Multimodal Learning via Mutual Information
Rongrong Xie, Guido Sanguinetti
Multimodal learning has increasingly become a focal point in research, primarily due to its ability to integrate complementary information from diverse modalities. Nevertheless, mo…
cs.LG2025
Information-Theoretic Criteria for Knowledge Distillation in Multimodal Learning
Rongrong Xie, Yizhou Xu, Guido Sanguinetti
The rapid increase in multimodal data availability has sparked significant interest in cross-modal knowledge distillation (KD) techniques, where richer "teacher" modalities transfe…