Sample Path Generation for Probabilistic Demand Forecasting
By Dhruv Madeka, Lucas Swiniarski. 2018
12 citations recorded by the source corpus.
How researchers see this paper
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- Ruofeng Wen
- Kari Torkkola
- Bryan Lim
- David Wingate
- David Salinas
- Jan Gasthaus
- Nikolaos Passalis
- Franccois Fleuret
Citations in the corpus
- Deep Generative Quantile-Copula Models for Probabilistic Forecasting (2019, background): “Madeka et al, 2018 further showed that common deep generative models, including VAE, GAN, Bayesian Dropout (Gal and Ghahramani, 2015) and WaveNet (Van Den Oord et al, 2016) all have large gaps towards the accuracy of MQ-forecasters.”