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 ...
CMU School of Computer Science

Databases in 2025: A Year in Review

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.
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 ...
IEEE

Predefined-Time Cluster Formation Tracking of Networked Unmanned Surface Vehicles With Global Output Constraint

Abstract: In this paper, the predefined-time cluster formation tracking (PTCFT) of the networked uncrewed surface vehicles (NUSVs) is achieved based on a hierarchical predefined-time output constraint ...
IEEE

A Review of Approaches for Rapid Data Clustering: Challenges, Opportunities, and Future Directions

Abstract: For organizing and analyzing massive amounts of data and revealing hidden patterns and structures, clustering is a crucial approach. This paper examines unique strategies for rapid ...