MACTS-EM: Multi-Agent Collaborative Time Series Forecasting with Emergent Memory
cs.LG, cs.MA
Submitted: 2026-09-30
Updated: 2026-09-30
Code: https://github.com/CSSEGISandData/COVID-19
Terminology
Sources
- Chronos: Learning the Language of Time Series
- TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
- Long-term Forecasting with TiDE: Time-series Dense Encoder
- Unsupervised Domain Adaptation by Backpropagation
- TimeGPT-1
- Towards Rationality in Language and Multimodal Agents: A Survey
- Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
- N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
- Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
- Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting
- Multi-Agent Collaboration Mechanisms: A Survey of LLMs
- TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
- Transformers in Time Series: A Survey
- From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs
- Foundation Models for Decision Making: Problems, Methods, and Opportunities
- Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022
- Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
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: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks