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papersSEP 12 04:00 UTC

Diffusion Transformers Studied for Cross-Modal Brain State Decoding

A new arXiv paper examines whether diffusion transformers can generate useful cross-modal training data for brain state decoding. The authors note that prior work has mostly fused paired modalities for prediction rather than using their correspondence to augment training data. The approach aims to improve multimodal representation learning.

arXiv diffusion-transformers brain state decoding brain-computer-interfaces cross-modal-learning multimodal representation learning

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arXiv cs.AIExploring Diffusion Transformers for Cross-Modal Augmentation in Multimodal Brain State Decoding ↗SEP 12 04:00 UTC