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cs.LG2022★ 1 cited
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data
Asadullah Hill Galib, Andrew McDonald, Tyler Wilson +2
Accurate forecasting of extreme values in time series is critical due to the significant impact of extreme events on human and natural systems. This paper presents DeepExtrema, a n…
cs.LG2022
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence
Andrew McDonald, Pang-Ning Tan, Lifeng Luo
Normalizing flows, a popular class of deep generative models, often fail to represent extreme phenomena observed in real-world processes. In particular, existing normalizing flow a…