Capturing extreme events in turbulence using an extreme variational autoencoder (xVAE).

Christopher K. Wikle

Likun Zhang Kiran Bhaganagar Christopher K. Wikle Capturing extreme events in turbulence using an extreme variational autoencoder (xVAE). 2026 June 428 38 Neural Comput. Appl. 11 https://doi.org/10.1007/s00521-026-12112-0 db/journals/nca/nca38.html#ZhangBW26 streams/journals/nca

Xiaoyu Ma Likun Zhang Christopher K. Wikle Modeling Spatio-temporal Extremes via Conditional Variational Autoencoders. 2025 December abs/2512.06348 CoRR https://doi.org/10.48550/arXiv.2512.06348 db/journals/corr/corr2512.html#abs-2512-06348 streams/journals/corr

Myungsoo Yoo Giri Gopalan Matthew J. Hoffman 0004 Sophie Coulson Holly Kyeore Han Christopher K. Wikle Trevor Hillebrand Uncertainty-enabled machine learning for emulation of regional sea-level change caused by the Antarctic Ice Sheet. 2024 abs/2406.17729 CoRR https://doi.org/10.48550/arXiv.2406.17729 db/journals/corr/corr2406.html#abs-2406-17729 streams/journals/corr

Zhenhua Wang Scott H. Holan Christopher K. Wikle Echo State Networks for Spatio-Temporal Area-Level Data. 2024 abs/2410.10641 CoRR https://doi.org/10.48550/arXiv.2410.10641 db/journals/corr/corr2410.html#abs-2410-10641 streams/journals/corr

Erin M. Schliep Christopher K. Wikle Ranadeep Daw Correcting for informative sampling in spatial covariance estimation and kriging predictions. 587-613 2023 October 25 J. Geogr. Syst. 4 https://doi.org/10.1007/s10109-023-00426-9 db/journals/jgs/jgs25.html#SchliepWD23

Likun Zhang Xiaoyu Ma Christopher K. Wikle Raphaël Huser Flexible and efficient spatial extremes emulation via variational autoencoders. 2023 abs/2307.08079 CoRR https://doi.org/10.48550/arXiv.2307.08079 db/journals/corr/corr2307.html#abs-2307-08079

Christopher K. Wikle Andrew Zammit-Mangion Statistical Deep Learning for Spatial and Spatio-Temporal Data. 2022 abs/2206.02218 CoRR https://doi.org/10.48550/arXiv.2206.02218 db/journals/corr/corr2206.html#abs-2206-02218

Andrew M. Raim Scott H. Holan Jonathan R. Bradley Christopher K. Wikle Spatio-temporal change of support modeling with R. 749-780 2021 36 Comput. Stat. 1 https://doi.org/10.1007/s00180-020-01029-4 db/journals/cstat/cstat36.html#RaimHBW21

Lydia R. Lucchesi Petra M. Kuhnert Christopher K. Wikle Vizumap: an R package for visualising uncertainty in spatial data. 2409 2021 6 J. Open Source Softw. 59 https://doi.org/10.21105/joss.02409 https://www.wikidata.org/entity/Q111899814 db/journals/jossw/jossw6.html#LucchesiKW21

Toryn L. J. Schafer Christopher K. Wikle Mevin B. Hooten Bayesian Inverse Reinforcement Learning for Collective Animal Movement. 2020 abs/2009.04003 CoRR https://arxiv.org/abs/2009.04003 db/journals/corr/corr2009.html#abs-2009-04003

Patrick L. McDermott Christopher K. Wikle Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data. 184 2019 21 Entropy 2 https://doi.org/10.3390/e21020184 https://www.wikidata.org/entity/Q103832794 db/journals/entropy/entropy21.html#McDermottW19

Christopher K. Wikle Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data. 2019 abs/1902.08321 CoRR http://arxiv.org/abs/1902.08321 db/journals/corr/corr1902.html#abs-1902-08321

Andrew Zammit-Mangion Christopher K. Wikle Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting. 2019 abs/1910.13524 CoRR http://arxiv.org/abs/1910.13524 db/journals/corr/corr1910.html#abs-1910-13524

Patrick L. McDermott Christopher K. Wikle Hierarchical (Deep) Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting. 2018 abs/1806.10728 CoRR http://arxiv.org/abs/1806.10728 db/journals/corr/corr1806.html#abs-1806-10728

Ali Arab 0002 Mevin B. Hooten Christopher K. Wikle Hierarchical Spatial Models. 837-846 2017 Encyclopedia of GIS https://doi.org/10.1007/978-3-319-17885-1_564 reference/gis/2017 db/reference/gis/gis2017.html#ArabHW17 Ali Arab 0002 Mevin B. Hooten Christopher K. Wikle Hierarchical Spatial Models. 425-431 2008 Encyclopedia of GIS https://doi.org/10.1007/978-0-387-35973-1_564 reference/gis/2008 db/reference/gis/gis2008.html#ArabHW08

Christopher K. Wikle L. Mark Berliner Combining Information Across Spatial Scales. 80-91 2005 47 Technometrics 1 https://doi.org/10.1198/004017004000000572 db/journals/technometrics/technometrics47.html#WikleB05

Christopher K. Wikle Atmospheric Modeling, Data Assimilation, and Predictability. 521 2005 47 Technometrics 4 https://doi.org/10.1198/tech.2005.s326 db/journals/technometrics/technometrics47.html#Wikle05

Christopher K. Wikle Modeling Hydrologic Change: Statistical Methods. 366-367 2003 45 Technometrics 4 https://doi.org/10.1198/tech.2003.s170 db/journals/technometrics/technometrics45.html#Wikle03

Ali Arab 0002 L. Mark Berliner Kiran Bhaganagar Jonathan R. Bradley Sophie Coulson Ranadeep Daw Giri Gopalan Holly Kyeore Han Trevor Hillebrand Matthew J. Hoffman 0004 Scott H. Holan Mevin B. Hooten Raphaël Huser Petra M. Kuhnert Lydia R. Lucchesi Xiaoyu Ma Patrick L. McDermott Andrew M. Raim Toryn L. J. Schafer Erin M. Schliep Zhenhua Wang Myungsoo Yoo Andrew Zammit-Mangion Likun Zhang