EPOC: Endpoint-Preserving Online Correction With Compressed Residual State for Multi-Horizon Time Series Forecasting
cs.LG
Submitted: 2026-09-25
Updated: 2026-09-25
Code: https://github.com/keiotakmin/endpoint-preserving-residual-correction
Terminology
Sources
- Residual Correction in Real-Time Traffic Forecasting
- TEFL: Prediction-Residual-Guided Rolling Forecasting for Multi-Horizon Time Series
- Towards Principled Test-Time Adaptation for Time Series Forecasting
- Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting
- Are Transformers Effective for Time Series Forecasting?
- A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks