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

Regression and Time Series Mixture Approaches to Predict System Performance and Assess Resilience

Abstract: Resilience engineering is the ability to design, build, and sustain systems that can deal effectively with disruptive events. Previous research focused on resilience models that were not ...
IEEE

Temporal–Frequency Attention Focusing for Time Series Extrinsic Regression via Auxiliary Task

Abstract: Time series extrinsic regression (TSER) aims at predicting numeric values based on the knowledge of the entire time series. The key to solving the TSER problem is to extract and use the most ...