AI RESEARCH
Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings
arXiv CS.LG
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ArXi:2605.31580v1 Announce Type: new Transformer-based architectures have advanced sequence modeling in language and vision, yet general-purpose representation learning for heterogeneous multivariate time series remains underexplored. We