Valentina Moretti

Position: Current Benchmarking Hinders Real Progress in Deep Learning for Time Series Forecasting

Deep learning models have grown popular in time series applications. However, the large quantity of newly proposed architectures and the often contradictory empirical results make it difficult to assess which design choice and model component drives performance. In this position paper, we argue that…