arXiv Machine Learning
ORBIT: Autoregressive Time Series Generation via Next Frequency-Band Prediction
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HALO: Enhancing Time Series Generation via Hyperspherical Latents and Masked AutoregRessive Modeling
HALO introduces a hyperspherical VAE to constrain continuous latent representations to a fixed‑radius shell, stabilizing numerical fluctuations. It then employs a masked autoregressive model that balances parallel decoding with temporal correlation learning, reducing inference steps and improving stability. Experiments show HALO achieves state‑of‑the‑art generation performance with significantly better inference efficiency compared to existing baselines.
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RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting
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arXiv Machine Learning
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Interpretable deep convolutional model for nonlinear multivariate time series in complex systems
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arXiv Machine Learning
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