Harrison Waldon

Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching

Time-series data in real-world settings typically exhibit long-range dependencies and are observed at non-uniform intervals. In these settings, traditional sequence-based recurrent models struggle. To overcome this, researchers often replace recurrent models with Neural ODE-based architectures to ac…