UPLOTS: A Unified Pretrained Language Model for Constrained Time-series Generation
cs.LG, cs.AI
Submitted: 2026-06-09
Updated: 2026-09-29
Code: https://github.com/cruiseresearchgroup/UPLOTS
Terminology
Sources
- Time-Causal VAE: Robust Financial Time Series Generator
- TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation
- Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
- Variational Recurrent Auto-Encoders
- SSD-TS: Exploring the Potential of Linear State Space Models for Diffusion Models in Time Series Imputation
- TimeGPT-1
- T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models
- The Llama 3 Herd of Models
- BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
- C-RNN-GAN: Continuous recurrent neural networks with adversarial training
- Synthetic Aircraft Trajectory Generation Using Time-Based VQ-VAE
- PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting
- CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines
- WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion Models
- TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Data
- Llama 2: Open Foundation and Fine-Tuned Chat Models
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