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Latent World Recovery for Multimodal Learning with Missing Modalities
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latent-world-recovery-for-multimodal-learning-with-missing-modalities-1feb809d·1 events·first seen 6d agoAliases: Latent World Recovery for Multimodal Learning with Missing Modalities
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Multimodal LearningLatent World RecoveryMultimodal Augmented Generation via Multimodal Retrieval Workshopmultimodal classification modelsmultimodal embeddingMultimodal Large Language ModelsMultimodal GainUnified Multimodal Models (UMMs)multimodal pretrainingLatent Context Language ModelsThe Stable Recovery Manifold: Geometric Principles Governing Recoverability in Continual LearningRecovery Subspace Dimensionality
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Latent World Recovery: multimodal learning framework for missing modalities in bioscience
A new arXiv preprint introduces Latent World Recovery (LWR), a framework for multimodal learning when some modalities are unavailable at training or inference time. LWR aligns modality-specific embeddings in a shared latent space and fuses only available modalities, avoiding explicit reconstruction of missing ones. The approach is evaluated on incomplete multi-omics benchmarks for cancer phenotype classification and survival prediction, demonstrating robustness under partial observation.