CauKer: Classification Time Series Foundation Models Can Be Pretrained on Synthetic Data

TL;DR

Time series foundation models (TSFMs) have recently gained significant attention due to their strong zero-shot capabilities and widespread real-world applications. Such models typically require a computationally costly pretraining on large-scale, carefully curated collections of real-world sequences.

Opening excerpt from the authors’ abstract. source