2026
Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings
ICML 2026poster
Traditional time series models are often task-specific and rely heavily on manual feature engineering. While Transformer-based architectures have revolutionized sequence modeling in language and vision, their potential for general-purpose time series representation learning remains underexplored, pa…