MoHETS: Long-term Time Series Forecasting with Mixture-of-Heterogeneous-Experts Paper • 2601.21866 • Published Jan 29 • 1
Let Experts Feel Uncertainty: A Multi-Expert Label Distribution Approach to Probabilistic Time Series Forecasting Paper • 2602.04678 • Published Feb 4
A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training Paper • 2303.06318 • Published Mar 11, 2023 • 1
Seg-MoE: Multi-Resolution Segment-wise Mixture-of-Experts for Time Series Forecasting Transformers Paper • 2601.21641 • Published Jan 29 • 1
Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMs Paper • 2503.03594 • Published Mar 5, 2025