DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting

Ozan Ozyegen, Juyoung Wang, Mucahit Cevik

Despite the high performance of neural network-based time series forecasting methods, the inherent challenge in explaining their predictions has limited their applicability in cert…