Self-Supervised Latent Action-Conditioned World Modeling for Time Series.
arXiv:2610.37963v1 Announce Type: cross Abstract: Time-series data play an important role in various tasks, such as weather forecasting, web traffic analysis, and speech recognition. Recently, pioneering studies have increasingly adopted Joint-Embedding Predic
arXiv cs.AIResearch source·