Reconstruction of incomplete wildfire data using deep generative models

DOI10.1007/s10687-022-00459-1arXiv2201.06153OpenAlexW4317211522WikidataQ117820525 ScholiaQ117820525MaRDI QIDQ6100554

Tomislav Ivek, Domagoj Vlah

Publication date: 12 May 2023

Published in: Extremes (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2201.06153

zbMATH Keywords

data reconstructionensembledeep learningwildfiresconvolutional neural networkvariational autoencoderextreme value analysis conference challenge

Mathematics Subject Classification ID

Statistical distribution theory (62Exx)

Related Items (2)

A marginal modelling approach for predicting wildfire extremes across the contiguous United States ⋮ Ranks of elliptic curves and deep neural networks

Cites Work

• Simple statistical gradient-following algorithms for connectionist reinforcement learning
• Unnamed Item

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