WorldTS: World Modeling for Multimodal Covariate-aware Time Series Forecasting
cs.LG
Submitted: 2026-09-25
Updated: 2026-09-25
Terminology
Sources
- V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
- Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective
- Mastering Diverse Domains through World Models
- Rethinking Multimodal Fusion for Time Series: Text Modalities Need Constrained Fusion
- Controllable Video Generation: A Survey
- LiveLight: Real-time Streaming Video Relighting with Interactive Control
- LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
- TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
- WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction
- TimeART: Towards Agentic Time Series Reasoning via Tool-Augmentation
- From Observations to States: Latent Time Series Forecasting
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