MixBench-TS: A Multivariate Time Series Forecasting Benchmark Where Channel Mixing Pays Off

arXiv:2609.32656 · cs.AI, cs.LG · Submitted 2026-09-26 · Read on arXiv

cs.AI, cs.LG

Submitted: 2026-09-26

Updated: 2026-09-26

Comments: 29 pages, 4 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 34× in this paper · explained in 2 episodes
• Time Series Forecasting — 23× in this paper · explained in 3 episodes
• Granger Causality — 12× in this paper
• Transformer — 12× in this paper · explained in 2 episodes
• Mutual Information — 9× in this paper
• Multivariate Time Series Forecasting — 8× in this paper
• Transfer Entropy — 8× in this paper
• Core — 6× in this paper · explained in 2 episodes
• Benchmarking — 3× in this paper · explained in 3 episodes
• Clustering — 3× in this paper · explained in 2 episodes
• Non-linear Coupling — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Augmented Dickey-Fuller — 1× in this paper
• Causal Discovery — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Information Systems and Machine Learning Lab — 1× in this paper
• Meta-learning — 1× in this paper · explained in 2 episodes
• Non-stationarity — 1× in this paper · explained in 2 episodes
• Ordinary Least Squares — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes

Sources

• GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
• NetBurst: Event-Centric Forecasting of Bursty, Intermittent Time Series
• QuitoBench: A High-Quality Open Time Series Forecasting Benchmark

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• Agents' Last Exam
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems