GitHub

Is Mamba Effective for Time Series Forecasting?

We propose S-Mamba, a Mamba-based model for time series forecasting, which delegates the extraction of inter-variate correlations and temporal dependencies to a bidirectional Mamba block and a ...
GitHub

Time Series Foundation Model - TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

The official code for ["TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)"]. TEMPO is one of the very first open source Time Series Foundation Models for ...

How The Bubble Manipulates Time

A financial “security” is nothing more than a claim on some stream of cash flows that investors expect to be delivered into ...
IEEE

VisCARS: Knowledge Graph-Based Context-Aware Recommender System for Time-Series Data Visualization and Monitoring Dashboards

Abstract: Data visualization recommendation aims to assist the user in creating visualizations from a given dataset. The process of creating appropriate visualizations requires expert knowledge of the ...
IEEE

Transformer-PLM Enhanced Multimodal Time Series Forecasting via Decoupled Dual-Temporal Graph Adaptation

Abstract: With the proliferation of multimodal data in real-world applications, integrating time series with auxiliary modalities has become critical for accurate forecasting. Although Transformers ...