Eun Som Jeon

Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks

Time-series are commonly susceptible to various types of corruption due to sensor-level changes and defects which can result in missing samples, sensor and quantization noise, unknown calibration, unknown phase shifts etc. These corruptions cannot be easily corrected as the noise model may be unknow…