Jaebin Lee

TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting

In machine learning, effective modeling requires a holistic consideration of how to encode inputs, make predictions (i.e., decoding), and train the model. However, in time-series forecasting, prior work has predominantly focused on encoder design, often treating prediction and training as separate o…