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Tyler Wilson

2 accepted papers

2022

DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data

IJCAI 2022poster

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 novel framework that combines a deep neural network (DNN) with generalized extreme value (GEV) distribution to forecast t…

2022

DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events

AAAI 2022technical

Geospatio-temporal data are pervasive across numerous application domains.These rich datasets can be harnessed to predict extreme events such as disease outbreaks, flooding, crime spikes, etc. However, since the extreme events are rare, predicting them is a hard problem. Statistical methods based on…